INTRODUCTION1112

The Master of Artificial Intelligence in HealthCare Management (MAI-HCM) is the first and only available programme of its kind worldwide. The programme offered via The Institute of ArtificialIntelligence and Robotics (IAR) at CCU in partnership with the HealthCare Institute at CambridgeCorporate University.


Artificial intelligence (AI) and related technologies are increasingly prevalent in different industries, and healthcare is not an exception. These technologies will change the face of many aspects of the industry structure, including patient care, treatment, diagnosis, and links to the pharmaceutical business.


With the overwhelming number of published work and research suggesting that AI may perform similar or better than humans at key industry tasks such as patient care and diagnosis, the need of healthcare professionals to master the art of AI and related technologies is a necessity.


Cambridge Corporate University is the world-leading higher educational institute that offers programs serving the futuristic purposes of the healthcare and pharmaceutical industry. TheUniversity offered the 1st and Only MBA Programme with a major in Pharmaceutical IndustryManagement (PIM) a few years ago, which turned to be the hub for all major multinational firms in the industry and hosts pharmaceutical and healthcare professionals from top organizations around the world.

WHO IS THIS PROGRAM FOR?

Welcome to CCU's leading MAI-HCM Programme. The Master of Artificial Intelligence with theHealthCare Management major is the first and only Master of AI Programme in HealthCareManagement worldwide. The programme prepares healthcare and pharmaceutical professionalsto lead the industry in its new futuristic formats.


We believe that you will find it outstanding and informative. We strongly encourage you to contact us for additional information about this worldwide leading program in HCM.

INTRODUCTION

The Master of Artificial Intelligence in HealthCare Management (MAI-HCM) is the first and only available programme of its kind worldwide. The programme offered via The Institute of ArtificialIntelligence and Robotics (IAR) at CCU in partnership with the HealthCare Institute at CambridgeCorporate University.


Artificial intelligence (AI) and related technologies are increasingly prevalent in different industries, and healthcare is not an exception. These technologies will change the face of many aspects of the industry structure, including patient care, treatment, diagnosis, and links to the pharmaceutical business.


With the overwhelming number of published work and research suggesting that AI may perform similar or better than humans at key industry tasks such as patient care and diagnosis, the need of healthcare professionals to master the art of AI and related technologies is a necessity.


Cambridge Corporate University is the world-leading higher educational institute that offers programs serving the futuristic purposes of the healthcare and pharmaceutical industry. TheUniversity offered the 1st and Only MBA Programme with a major in Pharmaceutical IndustryManagement (PIM) a few years ago, which turned to be the hub for all major multinational firms in the industry and hosts pharmaceutical and healthcare professionals from top organizations around the world.

WHO IS THIS PROGRAM FOR?

Welcome to CCU's leading MAI-HCM Programme. The Master of Artificial Intelligence with theHealthCare Management major is the first and only Master of AI Programme in HealthCareManagement worldwide. The programme prepares healthcare and pharmaceutical professionalsto lead the industry in its new futuristic formats.


We believe that you will find it outstanding and informative. We strongly encourage you to contact us for additional information about this worldwide leading program in HCM.

The Master of Artificial Intelligence in HelathCare Management (MAI-HCM) at CambridgeCorporate University focuses on educating participants on how to master the impact and applications of AI in the industry different sectors.Via an intensive, structured curriculum, students will learn how to understand, manage and employ AI and related technologies, including natural language processing (NLP) and machine learning (ML), in the healthcare management industry, different sectors and departments such as patient care, diagnosis, prevention, treatment, administration, hospital management, consulting, strategic management and other sectors.

LEARNING OBJECTIVES

  • To be introduced to the AI concept, science, components technologies and structure as well as its role in improving the healthcare service domain, this includes Machine learning (ML) –neural networks and deep learning, Natural language processing (NLP), Rule-based expert systems, Physical Robots and Robotic Process Automation (RPA)
  • To understand the AI - HealthCare Strategic-Frame, considerations, and structure associated with implementing AI-related technologies in the healthcare industry.
  • To gain a deep understanding of the models and applications that transform the healthcare industry into the new AI domain, focusing on AI technologies and applications in the industry's prevention, diagnosis, treatment, clinical and operational and administrative sectors.
  • To be educated about the role of AI in managing different healthcare industry sectors, with the focus on three main categories, Patient-Oriented AI, Clinician-Oriented AI, Administrative andOperational- Oriented AI.
  • To learn and practice how to link the AI technologies and applications to the modern concept of the Balanced Score Cards in the healthcare management industry.
  • To understand the role of AI technologies and applications in managing the financial and business sector of the industry and the link to patient profiling and data analysis.
  • To be introduced to the AI concept, science, components technologies and structure as well as its role in improving the healthcare service domain, this includes Machine learning (ML) –neural networks and deep learning, Natural language processing (NLP), Rule-based expert systems, Physical Robots and Robotic Process Automation (RPA)
  • To understand the AI - HealthCare Strategic-Frame, considerations, and structure associated with implementing AI-related technologies in the healthcare industry.
  • To gain a deep understanding of the models and applications that transform the healthcare industry into the new AI domain, focusing on AI technologies and applications in the industry's prevention, diagnosis, treatment, clinical and operational and administrative sectors.
  • To be educated about the role of AI in managing different healthcare industry sectors, with the focus on three main categories, Patient-Oriented AI, Clinician-Oriented AI, Administrative andOperational- Oriented AI.
  • To learn and practice how to link the AI technologies and applications to the modern concept of the Balanced Score Cards in the healthcare management industry.
  • To understand the role of AI technologies and applications in managing the financial and business sector of the industry and the link to patient profiling and data analysis.

WHO DEVELOPED THE PROGRAM?

The program was developed by the Institute of Artificial Intelligence and Robotics (IAR) in partnership with the HealthCare Management Institute (HCM) at Cambridge CorporateUniversity. Each module was developed by scholars, authors, and industry specialists from the university, its institutes, and research bodies, ensuring that the most advanced ranges of AIHealthCare perspectives are integrated into the course material.


Dozens of AI, industry experts and thought leaders from the artificial intelligence sector and the healthcare industry in Switzerland and abroad participated in preparing and developing the curriculum to create the first world-leading Master of Artificial Intelligence in HealthCareManagement (MAI-HCM).

The Master of Artificial Intelligence in HealthCare Management (MAI-HCM) consists of 8(eight) modules representing the program's course-track; each Module lasts for 6(six) weeks, and each values 15(fifteen) academic credits. This includes the Foundation Module (MAIHCM410), which covers, among other subjects, the Pharma Academic and Technical Writing(ATW) course offered under the supervision of the Yvon Pfeifer Writing(YWC) at the University.The (MAI-HCM) Academic requirements include the (MAI-HCM) Thesis, which lasts for 24 weeks, and values 60(sixty) Credits.


Academic Credits


.The (MAI-HCM)_ Course Track_8(eight) modules_ (48 weeks)_ (120 Credits)

.The (MAI-HCM)_Thesis/Project_(24 weeks)_ (60 Credits)

.The (MAI-HCM)_Program can be completed in an average of (18 months)_(180 Credits).

WHO DEVELOPED THE PROGRAM?

The program was developed by the Institute of Artificial Intelligence and Robotics (IAR) in partnership with the HealthCare Management Institute (HCM) at Cambridge CorporateUniversity. Each module was developed by scholars, authors, and industry specialists from the university, its institutes, and research bodies, ensuring that the most advanced ranges of AIHealthCare perspectives are integrated into the course material.


Dozens of AI, industry experts and thought leaders from the artificial intelligence sector and the healthcare industry in Switzerland and abroad participated in preparing and developing the curriculum to create the first world-leading Master of Artificial Intelligence in HealthCareManagement (MAI-HCM).

The Program

Introduction and Orientation

This two-week introduction is an essential and compulsory part of the MBA Program a tCCU and prepares the participants for the program's very different environment and structure. It does not award any academic credits, but it provides :

PROGRAM MODULES (15 credits each)

  • Foundation Module (FM410)
  • Organizational Context in the AI HealthCare Industry (AIOB480).
  • Introduction to the AI and Robotics industry and Technologies (AIR500)
  • AI-Strategic Management in the HealthCare Industry (BSC-AI560)
  • PatientCare AI technologies and applications (PCAI700)
  • Clinician AI Technologies and Application in the HealthCare Industry
  • Administrative and Operational AI technologies and Applications in the HealthCare Industry.
  • Financial AI Models, Technologies and Applications in the HealthCare Industry(AIFM1000)

The Program

Introduction and Orientation

This two-week introduction is an essential and compulsory part of the MBA Program a tCCU and prepares the participants for the program's very different environment and structure. It does not award any academic credits, but it provides :

PROGRAM MODULES (15 credits each)

  • Foundation Module (FM410)
  • Organizational Context in the AI HealthCare Industry (AIOB480).
  • Introduction to the AI and Robotics industry and Technologies (AIR500)
  • AI-Strategic Management in the HealthCare Industry (BSC-AI560)
  • PatientCare AI technologies and applications (PCAI700)
  • Clinician AI Technologies and Application in the HealthCare Industry
  • Administrative and Operational AI technologies and Applications in the HealthCare Industry.
  • Financial AI Models, Technologies and Applications in the HealthCare Industry(AIFM1000)

PROGRAM DESCRIPTION

Module 1:

foundation module

The foundation module includes courses that aim at providing participants with the solid base required to start the MAI-HCM journey at Cambridge Corporate University; subjects include :

  • Academic and Technical Writing (ATW)
  • Pharma Case Study structure and analysis
  • • Time Management (TM)
  • Business Communication(BC)
  • Academic Guide to Referencing and Bibliography
  • Business Innovation and Digital Transformation
  • The CCU MAI-HCM AI and Robotics Track

Module Pedagogy

This module is designed to prepare and equip students with the required skills, tools, and techniques to excel in the MAI-HCM program. Students are introduced to the core model of the pharmaceutical case analysis and self-study skills that will allow them to complete the MAI-HCM program.


Writing exercises are designed to allow students to learn the academic writing skills needed to write well-crafted academic articles. During the program and inside the Yvon Pfeifer WritingCenter (YWC), students get trained and educated on academic and technical writing to reach the professional authors level and publish quality articles in reputable industry and peer-reviewed journals, including the CCU-INNOVA Journal.


The module also introduces participants to the most advanced concepts and strategies inHealthCare Project Management (HPM), preparing them for the intense modules in AIOrganizational Context , an integral part of their study in the MAI-HCM program. Students will also learn different systems used in academic referencing and citation in the industry.


The MAI-HCM foundation module offers students the opportunity to use the Case Coach Analysis program and simulation, which trains students to read, analyze, develop action-plans using state of-the-art industry articles and cases in the healthcare business environment. Via a set of intensive tools, students will also learn about modern healthcare management theories and practices from world-leading healthcare professionals.complete

The foundation module includes courses that aim at providing participants with the solid base required to start the MAI-HCM journey at Cambridge Corporate University; subjects include :

  • Academic and Technical Writing (ATW)
  • Pharma Case Study structure and analysis
  • • Time Management (TM)
  • Business Communication(BC)
  • Academic Guide to Referencing and Bibliography
  • Business Innovation and Digital Transformation
  • The CCU MAI-HCM AI and Robotics Track

Module Pedagogy

This module is designed to prepare and equip students with the required skills, tools, and techniques to excel in the MAI-HCM program. Students are introduced to the core model of the pharmaceutical case analysis and self-study skills that will allow them to complete the MAI-HCM program.


Writing exercises are designed to allow students to learn the academic writing skills needed to write well-crafted academic articles. During the program and inside the Yvon Pfeifer WritingCenter (YWC), students get trained and educated on academic and technical writing to reach the professional authors level and publish quality articles in reputable industry and peer-reviewed journals, including the CCU-INNOVA Journal.


The module also introduces participants to the most advanced concepts and strategies inHealthCare Project Management (HPM), preparing them for the intense modules in AIOrganizational Context , an integral part of their study in the MAI-HCM program. Students will also learn different systems used in academic referencing and citation in the industry.


The MAI-HCM foundation module offers students the opportunity to use the Case Coach Analysis program and simulation, which trains students to read, analyze, develop action-plans using state of-the-art industry articles and cases in the healthcare business environment. Via a set of intensive tools, students will also learn about modern healthcare management theories and practices from world-leading healthcare professionals.complete

Module 2:

Organisational Context in the AI HealthCare Industry
(AIOB480)

Module Pedagogy

The new world of the AI: HealthCare industry is different, challenging and futuristic. The structure of healthcare organisations is evolving with the penetration of AI technologies and applications to all business levels.


Recently published work and research suggest that AI may perform similar or better than human sat key industry tasks. These tasks include patient care, diagnosis, treatment, operation, administration and prevention.


The Organisational Context in the AI HealthCare Industry Module (AIOB480) educates participants about the new face of AI-Healthcare organisation, structure, policy, management, behaviour and context. Students learn how to employ modern AI technologies and applications to manage healthcare organisations on different levels and maximise value.


The Module also introduces participants to the revolutionary changes brought by the age of AI to the Human Resource Management sector in Healthcare organisations and how to manage the unlimited change initiatives attached to the process.

Module Pedagogy

The new world of the AI: HealthCare industry is different, challenging and futuristic. The structure of healthcare organisations is evolving with the penetration of AI technologies and applications to all business levels.


Recently published work and research suggest that AI may perform similar or better than human sat key industry tasks. These tasks include patient care, diagnosis, treatment, operation, administration and prevention.


The Organisational Context in the AI HealthCare Industry Module (AIOB480) educates participants about the new face of AI-Healthcare organisation, structure, policy, management, behaviour and context. Students learn how to employ modern AI technologies and applications to manage healthcare organisations on different levels and maximise value.


The Module also introduces participants to the revolutionary changes brought by the age of AI to the Human Resource Management sector in Healthcare organisations and how to manage the unlimited change initiatives attached to the process.

Module 3:

Introduction to the AI and Robotics industry and
Technologies (AIR500)

Module Pedagogy

Artificial intelligence (AI) and related technologies are gradually dominating business and society, and the healthcare industry is no exception. These technologies have the potential to transformmany aspects of patient care, as well as administrative processes within provider, payer and pharmaceutical organisations.


Artificial intelligence is not one technology but rather a collection of technologies and applications. Most of these technologies have an immediate influence in the healthcare field, but the specific processes and tasks they support vary widely.


One of the best definition of AI is "the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.


"Those tasks in the healthcare industry range from simple to complex, covering everything from answering the phone to medical record review, population health trending and analytics, therapeutic drug and device design reading radiology images, making clinical diagnoses and treatment plans, and patient-talk.


In this module, students are introduced to the evolving science of AI with a primary focus on natural language processing (NLP) and machine learning (ML).


Participants will gain a good understanding of the group of AI technologies that directly influencethe healthcare industry sector and their individual and combined applications in the industry.


These technologies include:

  • Machine learning – neural networks and deep learning
  • Natural language processing
  • Rule-based expert systems
  • Physical robots
  • Robotic process automation

Module Pedagogy

Artificial intelligence (AI) and related technologies are gradually dominating business and society, and the healthcare industry is no exception. These technologies have the potential to transformmany aspects of patient care, as well as administrative processes within provider, payer and pharmaceutical organisations.


Artificial intelligence is not one technology but rather a collection of technologies and applications. Most of these technologies have an immediate influence in the healthcare field, but the specific processes and tasks they support vary widely.


One of the best definition of AI is "the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.


"Those tasks in the healthcare industry range from simple to complex, covering everything from answering the phone to medical record review, population health trending and analytics, therapeutic drug and device design reading radiology images, making clinical diagnoses and treatment plans, and patient-talk.


In this module, students are introduced to the evolving science of AI with a primary focus on natural language processing (NLP) and machine learning (ML).


Participants will gain a good understanding of the group of AI technologies that directly influencethe healthcare industry sector and their individual and combined applications in the industry.


These technologies include:

  • Machine learning – neural networks and deep learning
  • Natural language processing
  • Rule-based expert systems
  • Physical robots
  • Robotic process automation

Module 4:

AI-Strategic Management in the HealthCare Industry
 (BSC-AI560)

Module Pedagogy

The AI technologies applications and the age of Machine learning – neural networks and deep learning changed how strategic frames are built and evolved in modern business, including the healthcare industry. Strategic management, decision-making, and data analysis are three core fields greatly influenced by the new AI technologies and applications.


The AI-Strategic Management in the Healthcare Industry (BSC-AI560) module educates students about the new AI - HealthCare Strategic-Frame, considerations, and structure associated with implementing AI-related technologies in the decision making process in the healthcare industry.


Participants will learn how to master the different models and applications that transform the healthcare industry into the new AI domain, focusing on AI technologies and applications in the industry's prevention, diagnosis, treatment, clinical and operational and administrative sectors.


Via an intensive futuristic setup and curriculum, students will practice using advanced tools and techniques developed at the Institute of Artificial Intelligence & Robotics at Cambridge CorporateUniversity to analyse, segment, strategise and align daily operational activities with the healthcare organisation's strategy

Module Pedagogy

The AI technologies applications and the age of Machine learning – neural networks and deep learning changed how strategic frames are built and evolved in modern business, including the healthcare industry. Strategic management, decision-making, and data analysis are three core fields greatly influenced by the new AI technologies and applications.


The AI-Strategic Management in the Healthcare Industry (BSC-AI560) module educates students about the new AI - HealthCare Strategic-Frame, considerations, and structure associated with implementing AI-related technologies in the decision making process in the healthcare industry.


Participants will learn how to master the different models and applications that transform the healthcare industry into the new AI domain, focusing on AI technologies and applications in the industry's prevention, diagnosis, treatment, clinical and operational and administrative sectors.


Via an intensive futuristic setup and curriculum, students will practice using advanced tools and techniques developed at the Institute of Artificial Intelligence & Robotics at Cambridge CorporateUniversity to analyse, segment, strategise and align daily operational activities with the healthcare organisation's strategy

Module 5:

PatientCare AI technologies and applications
(PCAI700)

Module Pedagogy

AI technologies transform the patient care scheme and profile. Natural LanguageProcessing NLP and Machine Learning ML are two core AI technologies that play an essential role in the new clinical setting of the healthcare industry.


In this module, students are introduced to the Natural Language Processing NLP and MachineLearning ML applications focusing on the patient care sector.


Participants learn about the AI patient profiling processes. They also learn how to use AI technology to convert information received from transcribed history and physical dictation into data representing the patient’s problem list, medication list, allergies, past medical and surgical history, family history, and social history.


Students are also introduced to the AI advanced methodologies used to code and store patient data via the electronic medical record.


can be stored in a code ed fashion in an electronic medical recordThe module educates participants about using advanced speech-to-text technologies and the role of AI in comparing cases, recalling data from registry information, and differentiating between coded and uncoded data.


In this module, you will also be introduced to the new insights offered via Machine learning (ML)techniques and technologies in the prevention and treatment fields. Additionally, students will become informed about the futuristic AI prediction diagnostic technologies and approach expected to change the entire treatment protocol, accuracy, and healthcare industry results.


The module discusses the ML technologies and applications function in analysing the vast data originated from research and development, physicians and clinics, non-physician clinical workers, wearables, patients, etc.)


Students are also educated about the use of ML technologies in new AI healthcare and pharmaceutical fields, including drug discovery and manufacturing, clinical trials and research, improved accuracy of radiology and radiotherapy diagnoses and treatments, the development of smarter electronic health record (EHR) and health information exchange (HIE) systems, and the prediction of epidemic outbreaks.

Module Pedagogy

AI technologies transform the patient care scheme and profile. Natural LanguageProcessing NLP and Machine Learning ML are two core AI technologies that play an essential role in the new clinical setting of the healthcare industry.


In this module, students are introduced to the Natural Language Processing NLP and MachineLearning ML applications focusing on the patient care sector.


Participants learn about the AI patient profiling processes. They also learn how to use AI technology to convert information received from transcribed history and physical dictation into data representing the patient’s problem list, medication list, allergies, past medical and surgical history, family history, and social history.


Students are also introduced to the AI advanced methodologies used to code and store patient data via the electronic medical record.


can be stored in a code ed fashion in an electronic medical recordThe module educates participants about using advanced speech-to-text technologies and the role of AI in comparing cases, recalling data from registry information, and differentiating between coded and uncoded data.


In this module, you will also be introduced to the new insights offered via Machine learning (ML)techniques and technologies in the prevention and treatment fields. Additionally, students will become informed about the futuristic AI prediction diagnostic technologies and approach expected to change the entire treatment protocol, accuracy, and healthcare industry results.


The module discusses the ML technologies and applications function in analysing the vast data originated from research and development, physicians and clinics, non-physician clinical workers, wearables, patients, etc.)


Students are also educated about the use of ML technologies in new AI healthcare and pharmaceutical fields, including drug discovery and manufacturing, clinical trials and research, improved accuracy of radiology and radiotherapy diagnoses and treatments, the development of smarter electronic health record (EHR) and health information exchange (HIE) systems, and the prediction of epidemic outbreaks.

Module 6:

Clinician AI Technologies and Application in the HealthCare Industry

Module Pedagogy

The Clinician AI, Technologies and Application in the HealthCare Industry show fast development and a wide-spectrum range of applications that offer advanced patient and healthcare services.


Patient self-service is one of the models representing the new AI clinician technology with patients use AI applications to easily complete tasks such as scheduling appointments, paying bills, and filling out or updating forms via their phones, tablets, and laptops. This new AI trend allows for better, accurate and efficient cost service with fewer errors and better satisfaction.


In this module, participants gain a deep understanding of the use of AI technologies and applications in the clinician sector of the healthcare industry. They will also further learn about the growing role of robotics in supporting healthcare operation and services.


Participants further learn about the concept of self-service leverages ML and NLP engagementin analysing information, customising patient experiences, and expediting processes to increase convenience and efficiency.


Students are introduced to the modern AI concepts and application of online portals supported with chatbots to help patients compete for medication and administrative tasks. The module also focuses on using NLP supported chatbots, concept extraction, and sentiment analysis technologies to create an interactive experience as an integrated part of the modern AI Patient self-service techniques.


The module educates students about using information and communication technology (ICT) in the healthcare industry. Students also learn how the ICT as an advanced concept that converges technologies, such as the Internet of Things, wearable Internet, artificial intelligence, decision-making, and robot services, with gamification elements can revolutionise the healthcare services.


Additionally, participants will also learn about the role robotics played and expected to play in the healthcare industry from the time of the first Food and Drug Administration (FDA) approved robot job 'ROBODOC' appeared in California's Sutter General Hospital to the Da Vinci systems which are used in surgical practice, particularly for tasks that are too sophisticated and detailed for human hands. Students also understand the technologies and applications behind the Rehabilitation robots currently being used in various fields to aid with gait, eating, and upper limb, hand, and trunk movement. Wearable exo- skeletal robots (shoot robots, exoskeleton robots, exosuits, etc.) refer to devices attached to a specific body part, such as the arms or legs, to enhance muscle strength and endurance.

Module Pedagogy

The Clinician AI, Technologies and Application in the HealthCare Industry show fast development and a wide-spectrum range of applications that offer advanced patient and healthcare services.


Patient self-service is one of the models representing the new AI clinician technology with patients use AI applications to easily complete tasks such as scheduling appointments, paying bills, and filling out or updating forms via their phones, tablets, and laptops. This new AI trend allows for better, accurate and efficient cost service with fewer errors and better satisfaction.


In this module, participants gain a deep understanding of the use of AI technologies and applications in the clinician sector of the healthcare industry. They will also further learn about the growing role of robotics in supporting healthcare operation and services.


Participants further learn about the concept of self-service leverages ML and NLP engagementin analysing information, customising patient experiences, and expediting processes to increase convenience and efficiency.


Students are introduced to the modern AI concepts and application of online portals supported with chatbots to help patients compete for medication and administrative tasks. The module also focuses on using NLP supported chatbots, concept extraction, and sentiment analysis technologies to create an interactive experience as an integrated part of the modern AI Patient self-service techniques.


The module educates students about using information and communication technology (ICT) in the healthcare industry. Students also learn how the ICT as an advanced concept that converges technologies, such as the Internet of Things, wearable Internet, artificial intelligence, decision-making, and robot services, with gamification elements can revolutionise the healthcare services.


Additionally, participants will also learn about the role robotics played and expected to play in the healthcare industry from the time of the first Food and Drug Administration (FDA) approved robot job 'ROBODOC' appeared in California's Sutter General Hospital to the Da Vinci systems which are used in surgical practice, particularly for tasks that are too sophisticated and detailed for human hands. Students also understand the technologies and applications behind the Rehabilitation robots currently being used in various fields to aid with gait, eating, and upper limb, hand, and trunk movement. Wearable exo- skeletal robots (shoot robots, exoskeleton robots, exosuits, etc.) refer to devices attached to a specific body part, such as the arms or legs, to enhance muscle strength and endurance.

Module 7:

Administrative and Operational AI technologies and Applications in theHealthCare Industry

Module Pedagogy

Compliance, regulatory and data records drove the vast amount of data historically generated by the health care industry. Big data analytics is the core field where AI will play an essential future role. The Big data field is dedicated to examining large structured and unstructured data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other information to help healthcare organisations make more informed decisions.

In this module, students will learn about the AI applications and technologies used in the industry's operational sector. Big data analytics, medical record mining, and AI identification of hidden trends software are among the tools students will examine and understand.Participants will also learn about the futuristic AI Clinical Prediction Protocol based on AI medical records analysis and data science tools.


Another important subject students will have the opportunity to study in this module is using AI techniques for more effective treatment plan design and delivery. This process will change the face of many areas, including all the subspecialties of oncology where ML systems can create treatment plans in minutes or even seconds, as compared to the hours it might take a human oncology team.


The module also discusses the influence of AI on the operational structure of the industry, the type of new entrants to the healthcare sector, and the essential presence of AI healthcare management skills in the job descriptions of the industry different departments, scales and levels.New entrants into the health care market (whether they are payers, providers, pharmaceutical, technology, or other health care companies) are likely to deem the use of technologies such as NLP and ML in their day-to-day activities as a necessary requirement to create a competitive advantage over existing health care organisations.


The module will further introduce students to healthcare automation, patient-remote monitoring technologies, care talent modelling, home care, physician extenders, and the shift of human focus to areas where they can create better value.

Module Pedagogy

Compliance, regulatory and data records drove the vast amount of data historically generated by the health care industry. Big data analytics is the core field where AI will play an essential future role. The Big data field is dedicated to examining large structured and unstructured data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other information to help healthcare organisations make more informed decisions.

In this module, students will learn about the AI applications and technologies used in the industry's operational sector. Big data analytics, medical record mining, and AI identification of hidden trends software are among the tools students will examine and understand.Participants will also learn about the futuristic AI Clinical Prediction Protocol based on AI medical records analysis and data science tools.


Another important subject students will have the opportunity to study in this module is using AI techniques for more effective treatment plan design and delivery. This process will change the face of many areas, including all the subspecialties of oncology where ML systems can create treatment plans in minutes or even seconds, as compared to the hours it might take a human oncology team.


The module also discusses the influence of AI on the operational structure of the industry, the type of new entrants to the healthcare sector, and the essential presence of AI healthcare management skills in the job descriptions of the industry different departments, scales and levels.New entrants into the health care market (whether they are payers, providers, pharmaceutical, technology, or other health care companies) are likely to deem the use of technologies such as NLP and ML in their day-to-day activities as a necessary requirement to create a competitive advantage over existing health care organisations.


The module will further introduce students to healthcare automation, patient-remote monitoring technologies, care talent modelling, home care, physician extenders, and the shift of human focus to areas where they can create better value.

Module 8:

Financial AI Models, Technologies and Applications in the HealthCare Industry(AIFM1000)

Module Pedagogy

Artificial intelligence is changing the face of the financial industry and service, and the health care industry is no exception. AI technologies will allow for better financial data analytics of the industry with the available, affordable computer power, NLP and ML technologies in hand.


In this modules, students will learn about the health care industry digitisation processes of large amounts of data generated in the industry.


Participants will also become educated about the application of health care investment AI portfolios and prediction scenarios to reach better decisions.


Students will be introduced to some of the significant AI applications in the health care financial sector, including the underwriting processes, portfolio composition and optimisation, model validation, Robo-advising, market impact analysis, offering alternative credit reporting methods.


The module will also educate students about the cases of Machine Learning ML applicable to the health care sector, including technologies used for the purpose of Enhancing FinancialMonitoring, Making Investment Predictions, Maximising Process Automation, Ensuring SafeTransaction, Managing Risky Situations, Better Decision-making, Aiding CustomerRetention Program, Better Marketing Cost, maximising ROI and allowing for ManagingCustomer Data on a Large-scale

Module Pedagogy

Artificial intelligence is changing the face of the financial industry and service, and the health care industry is no exception. AI technologies will allow for better financial data analytics of the industry with the available, affordable computer power, NLP and ML technologies in hand.


In this modules, students will learn about the health care industry digitisation processes of large amounts of data generated in the industry.


Participants will also become educated about the application of health care investment AI portfolios and prediction scenarios to reach better decisions.


Students will be introduced to some of the significant AI applications in the health care financial sector, including the underwriting processes, portfolio composition and optimisation, model validation, Robo-advising, market impact analysis, offering alternative credit reporting methods.


The module will also educate students about the cases of Machine Learning ML applicable to the health care sector, including technologies used for the purpose of Enhancing FinancialMonitoring, Making Investment Predictions, Maximising Process Automation, Ensuring SafeTransaction, Managing Risky Situations, Better Decision-making, Aiding CustomerRetention Program, Better Marketing Cost, maximising ROI and allowing for ManagingCustomer Data on a Large-scale

MAI-HCM_THESIS/RESEARCH PROJECT(60 credits)

After successfully completing the MAI-HCM_ Course-Track (eight modules), MBA-PIM students must complete a final THESIS or research project which values 60 academic credits. TheMAIHCM THESIS/RESEARCH PROJECT is an essential part of the MAI-HCM degree's academic requirements at Cambridge Corporate University.CCU MAI-HCM students can choose between completing a scholarly dissertation that focuses on industry-related topics approved by the MAI-HCM_TC (THESIS COMMITTEE) or completing an advanced industry consultancy project based on the approval of the MAI-HCM Committee.

MAI-HCM THESIS


Students who choose to work on the MAI-HCM THESIS will seek approval from the MAIHCM_TC (THESIS COMMITTEE) on the appropriate research topic under the supervision of their MAI-HCM THESIS Supervisor (TS).


Students will critically select and apply the appropriate research methodology and data collection methods to their chosen research topic and demonstrate a rigorous understanding of the theory and literature relevant to the issues studied and examined via the MAI-HCM THESIS. The accepted THESIS by the MAI-HCM_TC (THESIS COMMITTEE) is generally structured and written in 15,000 – 20,000 words using the appropriate Technical Writing and Academic formats of theUniversity.


The Yvon Pfeifer Writing Center (YWC)


CCU MAI-HCM students will have the opportunity to seek support for writing their MAI-HCMTHESIS via the Yvon Pfeifer Writing Center (YWC), which offers support and training for studentson Technical and Academic Writing (TAW) topics. The final version of the Thesis will also bereviewed by the (YWC) before being published.


MAI-HCM_VIVA


After the confirmation and approval of the MAI-HCM_THESIS/RESEARCH PROJECT via the MAIHCM_TC (THESIS COMMITTEE), the MAI-HCM Candidate will receive an official invitation to theMAI-HCM VIVA, which is the final step in the process. In exceptional cases and based on specialcircumstances, the VIVA session could be waived based on official approval from the PROVOSTOffice and the CCU Academic Committee(CAB)


The MAI-HCM_THESIS/RESEARCH PROJECT DURATION


The MAI-HCM _THESIS/RESEARCH PROJECT(60 credits)should be completed in 24 weeks andsubmitted to the MAI-HCM_TC (THESIS COMMITTEE) for revision and approval.


OUR GRADUATES ARE FUTURE LEADERS OF THE INDUSTRY


The program focuses on enhancing the creativity and ability to achieve while developing the participants' required professional skills preparing them systematically to excel in leading and management positions across the industry.


The program provides a comprehensive foundation to master the skills required to manage at different levels and sectors in the Healthcare industry. Considering the fact that ArtificialIntelligence technologies will dominate the healthcare sector within few years, graduates of the program will occupy the top of the list of managerial candidates in the industry. Successful graduates are also current and future candidates for top leading positions in the industry.


The small group structure and the unique corporate approach of CCU offer students the opportunity to live, learn and develop within an experiential learning-based curriculum built on the most advanced industry standards and business techniques. 

MAI-HCM_THESIS/RESEARCH PROJECT(60 credits)

After successfully completing the MAI-HCM_ Course-Track (eight modules), MBA-PIM students must complete a final THESIS or research project which values 60 academic credits. TheMAIHCM THESIS/RESEARCH PROJECT is an essential part of the MAI-HCM degree's academic requirements at Cambridge Corporate University.CCU MAI-HCM students can choose between completing a scholarly dissertation that focuses on industry-related topics approved by the MAI-HCM_TC (THESIS COMMITTEE) or completing an advanced industry consultancy project based on the approval of the MAI-HCM Committee.

MAI-HCM THESIS


Students who choose to work on the MAI-HCM THESIS will seek approval from the MAIHCM_TC (THESIS COMMITTEE) on the appropriate research topic under the supervision of their MAI-HCM THESIS Supervisor (TS).


Students will critically select and apply the appropriate research methodology and data collection methods to their chosen research topic and demonstrate a rigorous understanding of the theory and literature relevant to the issues studied and examined via the MAI-HCM THESIS. The accepted THESIS by the MAI-HCM_TC (THESIS COMMITTEE) is generally structured and written in 15,000 – 20,000 words using the appropriate Technical Writing and Academic formats of theUniversity.


The Yvon Pfeifer Writing Center (YWC)


CCU MAI-HCM students will have the opportunity to seek support for writing their MAI-HCMTHESIS via the Yvon Pfeifer Writing Center (YWC), which offers support and training for studentson Technical and Academic Writing (TAW) topics. The final version of the Thesis will also bereviewed by the (YWC) before being published.


MAI-HCM_VIVA


After the confirmation and approval of the MAI-HCM_THESIS/RESEARCH PROJECT via the MAIHCM_TC (THESIS COMMITTEE), the MAI-HCM Candidate will receive an official invitation to theMAI-HCM VIVA, which is the final step in the process. In exceptional cases and based on specialcircumstances, the VIVA session could be waived based on official approval from the PROVOSTOffice and the CCU Academic Committee(CAB)


The MAI-HCM_THESIS/RESEARCH PROJECT DURATION


The MAI-HCM _THESIS/RESEARCH PROJECT(60 credits)should be completed in 24 weeks andsubmitted to the MAI-HCM_TC (THESIS COMMITTEE) for revision and approval.


OUR GRADUATES ARE FUTURE LEADERS OF THE INDUSTRY


The program focuses on enhancing the creativity and ability to achieve while developing the participants' required professional skills preparing them systematically to excel in leading and management positions across the industry.


The program provides a comprehensive foundation to master the skills required to manage at different levels and sectors in the Healthcare industry. Considering the fact that ArtificialIntelligence technologies will dominate the healthcare sector within few years, graduates of the program will occupy the top of the list of managerial candidates in the industry. Successful graduates are also current and future candidates for top leading positions in the industry.


The small group structure and the unique corporate approach of CCU offer students the opportunity to live, learn and develop within an experiential learning-based curriculum built on the most advanced industry standards and business techniques.

LEARNING MEDIUM

ON-CAMPUS OR ONLINE

Cambridge Corporate University is the World's Leading Corporate Institute of higher education, where most of our programs are offered entirely online. CCU is the land of futurists, where we created our own digital age and innovative learning culture ahead from the world, and it became part of our history and culture. At CCU, you have the option to complete your degree on campusin Switzerland, on one of our international campuses available in 19 countries worldwide (CCUCorporate Center Programs), or via the CCU live model of online education.


The CCU online learning model appeals to busy professionals' needs in the digital age and offers one of the most informative and challenging education models. Students interact with faculty, executives, and colleagues from different cultures, industries, and research setups via the variousCCU online portals.


Our innovative online model offers participants the opportunity to interact with industry experts, industry scholars, and thought-leaders via live learning and lecturing media.

LEARNING MEDIUM

ON-CAMPUS OR ONLINE

Cambridge Corporate University is the World's Leading Corporate Institute of higher education, where most of our programs are offered entirely online. CCU is the land of futurists, where we created our own digital age and innovative learning culture ahead from the world, and it became part of our history and culture. At CCU, you have the option to complete your degree on campusin Switzerland, on one of our international campuses available in 19 countries worldwide (CCUCorporate Center Programs), or via the CCU live model of online education.


The CCU online learning model appeals to busy professionals' needs in the digital age and offers one of the most informative and challenging education models. Students interact with faculty, executives, and colleagues from different cultures, industries, and research setups via the variousCCU online portals.


Our innovative online model offers participants the opportunity to interact with industry experts, industry scholars, and thought-leaders via live learning and lecturing media.

Bridging the HealthCare Industry Blockbusters

The core element of the quality of education at Cambridge Corporate University remains in theCCU learning model's ability to influence the economic, social, and business dimensions positively.


CCU programs and degrees are the hubs where leaders from the HealthCare industry blockbusters meet to learn, study, discuss and examine transformational models under the CCU's distinguished faculty's supervision.

CCU MAI-HCM' WORLD OF PROFESSIONALS

The MAI-HCM program is the first, leading accredited, challengeable, and innovative program that focuses on developing the managerial, developmental, and leadership capabilities of healthcare professionals. Participants study, interact, learn and apply, the most advanced set of ArtificialIntelligence, tools, technologies, concepts, and techniques to their day-to-day work andoperation.


They live in a world of professionals who think and act the same way, talk the same language, but learn how to create, innovate and add value to their strategic and operational activities in this unique and demanding industry.

CCU MAI-HCM : THE INDUSTRY FUTURISTIC MODEL

The core element of the quality of education at Cambridge Corporate University remains in theCCU learning model's ability to influence the economic, social, and business dimensions positively.


CCU programs and degrees are the hubs where leaders from the HealthCare industry blockbusters meet to learn, study, discuss and examine transformational models under the CCU's distinguished faculty's supervision.

CCU MAI-HCM' WORLD OF PROFESSIONALS

The MAI-HCM program is the first, leading accredited, challengeable, and innovative program that focuses on developing the managerial, developmental, and leadership capabilities of healthcare professionals. Participants study, interact, learn and apply, the most advanced set of ArtificialIntelligence, tools, technologies, concepts, and techniques to their day-to-day work andoperation.


They live in a world of professionals who think and act the same way, talk the same language, but learn how to create, innovate and add value to their strategic and operational activities in this unique and demanding industry.

CCU MAI-HCM : THE INDUSTRY FUTURISTIC MODEL

At CCU, innovation is a way of life. Cambridge Corporate University is known as the 'Home ofInnovators' for more than four decades. This innovative-based culture and structure reflect on the program teaching and delivering methodology, where a new hub of creative thinking is created.


It is at CCU, where the Institute of Artificial Intelligence & Robotics (IAR), in partnership with theHealthCare Institute (HCI), create a unique live curriculum that stimulates the CCU MAI-HCM students' creative thinking skills and acts to maximise creativity and strategic innovation, among other core elements required to excel on the land of the AI-HealthCare Management.


With more than 250 articles and business cases from multinational giants in the industry, you will master the world of AI for HealthCare Management. You define your study's new parameters but within a system of quality that ensures efficiency. Our program will change how you approach problems, formulate plans, apply technologies, structure teams, manage patient care, prevent, diagnose and treat, and define strategies.


The program will also provide you with the opportunity to master the digital age of the industry by working on futuristic Artificial Intelligence (AI) models and techniques connected to the industry's future.


The CCU MAI-HCM program will challenge your mental set up to enable the critical behaviour shifts transforming you into a futuristic leader and an innovative strategist in your industry.

At CCU, innovation is a way of life. Cambridge Corporate University is known as the 'Home ofInnovators' for more than four decades. This innovative-based culture and structure reflect on the program teaching and delivering methodology, where a new hub of creative thinking is created.


It is at CCU, where the Institute of Artificial Intelligence & Robotics (IAR), in partnership with theHealthCare Institute (HCI), create a unique live curriculum that stimulates the CCU MAI-HCM students' creative thinking skills and acts to maximise creativity and strategic innovation, among other core elements required to excel on the land of the AI-HealthCare Management.


With more than 250 articles and business cases from multinational giants in the industry, you will master the world of AI for HealthCare Management. You define your study's new parameters but within a system of quality that ensures efficiency. Our program will change how you approach problems, formulate plans, apply technologies, structure teams, manage patient care, prevent, diagnose and treat, and define strategies.


The program will also provide you with the opportunity to master the digital age of the industry by working on futuristic Artificial Intelligence (AI) models and techniques connected to the industry's future.


The CCU MAI-HCM program will challenge your mental set up to enable the critical behaviour shifts transforming you into a futuristic leader and an innovative strategist in your industry.

MAI-HCM : STRUCTURE OF BEST-FIT

The MAI-HCM program is structured on CCU’s ‘Best-Fit’ delivery technique. This innovative structure encourages achieving work-life balance by allowing you to adjust your study with the rest of your life; through flexible online learning, the model embraces experiential learning based on CCUs’ philosophy of integrating learning into the work process.

MAI-HCM : STRUCTURE OF BEST-FIT

The MAI-HCM program is structured on CCU’s ‘Best-Fit’ delivery technique. This innovative structure encourages achieving work-life balance by allowing you to adjust your study with the rest of your life; through flexible online learning, the model embraces experiential learning based on CCUs’ philosophy of integrating learning into the work process.

MAI-HCM BUSINESS UNUSUAL

The MAI-HCM in HealthCare Management is a type of business unusual which is the CambridgeCorporate University's specialty. The program focuses on developing participants' ability to analyse business issues, employ AI tools and technologies, and formulate outstanding strategies that directly focus on the industry topics.


You will not be surprised to complete your degree with much more than an MAI-HCM, but with a completely new experience that brings you to the next level in your profession.


As an integrated part of your Master of Artificial Intelligence program work and assignments, you will design a new strategic map for your business, use different analytical tools to evaluate status, and formulate articles that could change the way your company operates.


You will master a full set of outstanding AI skills, includes Machine learning (ML) – neural networks and deep learning, Natural language processing (NLP), Rule-based expert systems, PhysicalRobots and Robotic Process Automation (RPA). Students will also master the art of PatientOriented AI, Clinician-Oriented AI, Administrative and Operational- Oriented AI.


It is business as usual at CCU that our students get promoted or receive better offers during theirMAI-HCM study time.

MAI-HCM BUSINESS UNUSUAL

The MAI-HCM in HealthCare Management is a type of business unusual which is the CambridgeCorporate University's specialty. The program focuses on developing participants' ability to analyse business issues, employ AI tools and technologies, and formulate outstanding strategies that directly focus on the industry topics.


You will not be surprised to complete your degree with much more than an MAI-HCM, but with a completely new experience that brings you to the next level in your profession.


As an integrated part of your Master of Artificial Intelligence program work and assignments, you will design a new strategic map for your business, use different analytical tools to evaluate status, and formulate articles that could change the way your company operates.


You will master a full set of outstanding AI skills, includes Machine learning (ML) – neural networks and deep learning, Natural language processing (NLP), Rule-based expert systems, PhysicalRobots and Robotic Process Automation (RPA). Students will also master the art of PatientOriented AI, Clinician-Oriented AI, Administrative and Operational- Oriented AI.


It is business as usual at CCU that our students get promoted or receive better offers during theirMAI-HCM study time.

Our MAI-HCM classes and workshops are designed around our people to achieve a harmonious, creative, innovative, and productive environment. What you hear and feel from the time you join the class engages you in the cooperative effort and "can-do" approach of students, faculty, and administration, all working in unison.


We firmly believe that we can offer our students a much better AI education level via the live online matrix environment of CCU, founded on professionality, mutual respect, and understanding.


The MAI-HCM Classes in HealthCare Industry are symbolic of the CCU creative equation"Diversify equals Innovation - Innovation equals wealth." Additionally, the CCU-Class policy, limiting the number of students in each online class, contributes to allowing students to get their instructors' and advisors' best input and experiences.


The 'Human Organisation' is the system invented by talented scholars at Cambridge CorporateUniversity, where other power parameters are defined. The system is part of the SUPERHUMAN concept, philosophy, research, tools, and project invented and led by Prof.Dr. Hossam El-Shazly, the current CCU President. The system is one of the futuristic tools expected to dominate the next decade in the HealthCare industry based on the current index and industry parameters.

Our MAI-HCM classes and workshops are designed around our people to achieve a harmonious, creative, innovative, and productive environment. What you hear and feel from the time you join the class engages you in the cooperative effort and "can-do" approach of students, faculty, and administration, all working in unison.


We firmly believe that we can offer our students a much better AI education level via the live online matrix environment of CCU, founded on professionality, mutual respect, and understanding.


The MAI-HCM Classes in HealthCare Industry are symbolic of the CCU creative equation"Diversify equals Innovation - Innovation equals wealth." Additionally, the CCU-Class policy, limiting the number of students in each online class, contributes to allowing students to get their instructors' and advisors' best input and experiences.


The 'Human Organisation' is the system invented by talented scholars at Cambridge CorporateUniversity, where other power parameters are defined. The system is part of the SUPERHUMAN concept, philosophy, research, tools, and project invented and led by Prof.Dr. Hossam El-Shazly, the current CCU President. The system is one of the futuristic tools expected to dominate the next decade in the HealthCare industry based on the current index and industry parameters.

Team of Professionals

Faculty

Cambridge Corporate University is proud of its world-class faculty. All academic programs atCCU are taught by faculty who have outstanding academic credentials, are authors of groundbreaking books and articles, and are leading authorities in their respective fields.


As professors, board members, consultants, and field researchers, they have an immeasurable wealth of real-world expertise. They are also recognised experts in the global healthcare business, research, and management topics. Many of them occupied leading positions as elite industry consultants and maintained relationships with top-ranked healthcare providers worldwide.

MAI-HCM Advisor

Once you submitted an application form or requested information about the online-MAI-HCM program in HealthCare Management, a specialised MAI advisor will contact you by phone or email to arrange for a telephone or Skype meeting if required.


This meeting gives you the chance to ask any question about this unique program and explainsthe technicality and structure of the MAI-HCM Program. The MAI advisor will explain all the admission, enrolment, study, and financial details, including various payment-plans, available to help you land on your best option. Our MAI advisors are industry experts who talk your same industry language and take care of you tell your admission and enrolment process is completed.

Program Manager

Once admitted to the program, your MAI-HCM program manager will guide you for the rest of your degree.Your program manager will be your primary reference during the program.


You can contact him/her at any time with any questions, concerns, observations, or comments regarding your classes, modules, schedule, enrolment, attendance, and assessment. We made sure that our program managers are trained on the best level to deal with their tasks and help you make your time at CCU such a rewarding and productive experience.

Technical Support

CCU is the land of futurists; we employ the best available IT techniques to connect our MAI-HCM students to faculty around the world and the live lecturing halls. The Deanship of AcademicSupporting Services (DSS) plays an essential role in ensuring that the best technical and administrative support is provided.


The research-based methodology invented at CCU offers our MAI-HCM students the option to work online and offline to complete their assignments and program activities away from technical problems.


At CCU, the Institute of Artificial Intelligence & Robotics (IAR) collaborates with the Deanship ofAcademic Supporting Services (DSS) and other University departments to offer CCU students the digital age's taste and structure.

Faculty

Cambridge Corporate University is proud of its world-class faculty. All academic programs atCCU are taught by faculty who have outstanding academic credentials, are authors of groundbreaking books and articles, and are leading authorities in their respective fields.


As professors, board members, consultants, and field researchers, they have an immeasurable wealth of real-world expertise. They are also recognised experts in the global healthcare business, research, and management topics. Many of them occupied leading positions as elite industry consultants and maintained relationships with top-ranked healthcare providers worldwide.

MAI-HCM Advisor

Once you submitted an application form or requested information about the online-MAI-HCM program in HealthCare Management, a specialised MAI advisor will contact you by phone or email to arrange for a telephone or Skype meeting if required.


This meeting gives you the chance to ask any question about this unique program and explainsthe technicality and structure of the MAI-HCM Program. The MAI advisor will explain all the admission, enrolment, study, and financial details, including various payment-plans, available to help you land on your best option. Our MAI advisors are industry experts who talk your same industry language and take care of you tell your admission and enrolment process is completed.

Program Manager

Once admitted to the program, your MAI-HCM program manager will guide you for the rest of your degree.Your program manager will be your primary reference during the program.


You can contact him/her at any time with any questions, concerns, observations, or comments regarding your classes, modules, schedule, enrolment, attendance, and assessment. We made sure that our program managers are trained on the best level to deal with their tasks and help you make your time at CCU such a rewarding and productive experience.

Technical Support

CCU is the land of futurists; we employ the best available IT techniques to connect our MAI-HCM students to faculty around the world and the live lecturing halls. The Deanship of AcademicSupporting Services (DSS) plays an essential role in ensuring that the best technical and administrative support is provided.


The research-based methodology invented at CCU offers our MAI-HCM students the option to work online and offline to complete their assignments and program activities away from technical problems.


At CCU, the Institute of Artificial Intelligence & Robotics (IAR) collaborates with the Deanship ofAcademic Supporting Services (DSS) and other University departments to offer CCU students the digital age's taste and structure.

Entry requirements


  • ListApplicants for the MAI-HCM in the HealthCare Industry Management are expected to have achieved or expect to achieve a high standard in a degree course of an equivalent level to aSwiss Bachelor's degree. In most countries, this is a first degree (Bachelor's, Licentiate, Vordiplom). Element
  • Proficiency in English: participants should be able to produce well-structured work, summarise key points clearly and discuss issues in writing from different points of view.
  • There are no formal limitations on the subjects that are studied for a first degree. Still, we would normally expect applicants to have a firm grounding in the sciences, social sciences, or humanities and have taken some relevant courses in management studies.

Program Fee

• The tuition fee for the Online MAI-HCM program in the HealthCare Industry Management at Cambridge Corporate University is CHF29,000. (Only twenty-nine thousand Swiss francs) including all study materials, case studies, software, etc.

Payment plans are available in different models based on the approval of the admission and registration office.

Registration fee of CHF150 ( Only one hundred and fifty Swiss francs) is applicable at the application time.

• The program fee doesn't include housing or an accommodation fee.

• For more details about the MAI-HCM program, to receive the program brochure and application, please write to the MAI-HCM Office at : MAI-HCM@cambridgecu.ch


How to apply

Applications for admission to the program should be made to the Cambridge Corporate UniversitySwitzerland's Admission Office using the online application form or via writing to the RegistrarOffice at: registrar@cambridgecu.ch.


In addition to the application form, applicants need to arrange for the following documentsto be sent to the CCU Registrar Office via email:

  • Copy of the applicant's CV
  • Copy of the applicant's valid passport or ID.
  • Copy of the applicant's most recent degree, diploma, or certificate.
  • One digital picture _ high-resolution formal photo is required for the
  • Completed MBA-PIM application.
  • MAI-HCM_Essay Statement (MES), in a maximum of 750 words, please describe why you are interested in being enrolled in the MAI-HCM program at Cambridge Corporate University and how it will reflect on your professional life career
  • If the applicant cannot demonstrate fluency in the English language, an IELTS or TOEFL test report will also be required.
  • All the application forms, documents, and attachments should be sent via email to : registrar@cambridgecu.ch


Applications by post should be sent to :

Cambridge Corporate University

The Admission and Registration Office

Seeburgstrasse 20, 6006 Lucerne, Switzerland


For further information about the program or to receive an application form, please contact the program committee at:
mai-hcm@cambridgecu.ch or write to the Registrar Office at CCU via : registrar@cambridgecu.ch


Cambridge Corporate University

Seeburgstrasse 20, 6006 Lucerne

Switzerland

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Entry requirements


  • ListApplicants for the MAI-HCM in the HealthCare Industry Management are expected to have achieved or expect to achieve a high standard in a degree course of an equivalent level to aSwiss Bachelor's degree. In most countries, this is a first degree (Bachelor's, Licentiate, Vordiplom). Element
  • Proficiency in English: participants should be able to produce well-structured work, summarise key points clearly and discuss issues in writing from different points of view.
  • There are no formal limitations on the subjects that are studied for a first degree. Still, we would normally expect applicants to have a firm grounding in the sciences, social sciences, or humanities and have taken some relevant courses in management studies.

Program Fee

• The tuition fee for the Online MAI-HCM program in the HealthCare Industry Management at Cambridge Corporate University is CHF29,000. (Only twenty-nine thousand Swiss francs) including all study materials, case studies, software, etc.

Payment plans are available in different models based on the approval of the admission and registration office.

Registration fee of CHF150 ( Only one hundred and fifty Swiss francs) is applicable at the application time.

• The program fee doesn't include housing or an accommodation fee.

• For more details about the MAI-HCM program, to receive the program brochure and application, please write to the MAI-HCM Office at : MAI-HCM@cambridgecu.ch


How to apply

Applications for admission to the program should be made to the Cambridge Corporate UniversitySwitzerland's Admission Office using the online application form or via writing to the RegistrarOffice at: registrar@cambridgecu.ch.


In addition to the application form, applicants need to arrange for the following documentsto be sent to the CCU Registrar Office via email:

  • Copy of the applicant's CV
  • Copy of the applicant's valid passport or ID.
  • Copy of the applicant's most recent degree, diploma, or certificate.
  • One digital picture _ high-resolution formal photo is required for the
  • Completed MBA-PIM application.
  • MAI-HCM_Essay Statement (MES), in a maximum of 750 words, please describe why you are interested in being enrolled in the MAI-HCM program at Cambridge Corporate University and how it will reflect on your professional life career
  • If the applicant cannot demonstrate fluency in the English language, an IELTS or TOEFL test report will also be required.
  • All the application forms, documents, and attachments should be sent via email to : registrar@cambridgecu.ch


Applications by post should be sent to :

Cambridge Corporate University

The Admission and Registration Office

Seeburgstrasse 20, 6006 Lucerne, Switzerland


For further information about the program or to receive an application form, please contact the program committee at:
mai-hcm@cambridgecu.ch or write to the Registrar Office at CCU via : registrar@cambridgecu.ch