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COURSE OVERVIEW

Data Analytics

M.Sc. Health Informatics and Analytics programme at The Apollo University aims to train a new generation of world-leading health data scientists, to work in both the public and private sector. Our Teaching focuses on building strong quantitative, computational and practical data management skills, while providing opportunities to develop key professional skills required to be a successful health data scientist.

Health Informatics and Data Analytics is an emerging discipline, combining medicine, mathematics, statistics, epidemiology and informatics. This programme equips the students with the tools and techniques to manage and analyse very large diverse datasets across healthcare systems.

The programme will enable you to:

  • apply artificial intelligence and machine learning approaches to analyse health-related data
  • acquire the tools and skills to manage very large diverse datasets across healthcare systems
  • develop the professional skills – including teamwork, project management, and presentation skills – to work as a successful data scientist in the public or private sector
  • understand the varied roles of a health data scientist within the wider health and health research environment
  • learn about the key sources of health data, and the context in which these data are collected, implications of the context on issues such as data quality, accessibility, bias and the appropriateness of use to address specific questions
  • study the key issues related to ethics, security and information governance

In addition, to improve the students research skills, the university has signed memoranda of understanding (MoU) with Brigham and Women’s Hospital, Harvard Medical School, Massachusetts, USA, Microsoft Inc. USA and University of Hyderabad, India, which provide training to the students of M.Sc. Health Informatics and Analytics.


PROGRAMME OBJECTIVES

  • To develop the attitudes and aptitudes necessary to work across the breadth of the Heath Data Science and Machine Learning
  • To provide the knowledge and understanding of the technologies such as Artificial Intelligence and Cloud Computing, which are associated with the domain of healthcare, digital health, health informatics and analytics
  • To implement the knowledge-based understanding of the various Standards used for the exchange of Health Information.
  • To understand the importance and applications of scientific thinking in the fields of health and Information technology
  • To engage the students in industry-based practice based on student interest and field demand

PROGRAMME HIGHLIGHTS

An opportunity to work for 6 to 12 months on Clinical Data Science research projects at Harvard Medical School, Massachusetts, USA
Training and Employment Opportunities for all M.Sc. Health Informatics and Analytics students at Apollo Hospitals, Microsoft and Google
Basic and Advanced Training programs by the experts of the University of Hyderabad and the Indian Institute of Technology Tirupati (IIT-T) in the fields of Artificial Intelligence, Machine learning, Deep Learning and Cloud Computing
The degree serves as a basis for further higher studies and research in Artificial Intelligence, Machine Learning and Data Science.
Data Scientists

Programme Curriculum

  • 3 Week Induction Programme
    Course CodeCourse NamePeriods per weekCreditsHours per week
    LTP
    HIAT6501Fundamentals of Clinical Informatics31044
    HIAT6502Foundations of Cloud Computing31044
    HIAT6503Healthcare Data Science31044
    HIAT6504Standards for Digital Health31044
    HIAT6601Program Elective – 131044
    HIAL6501Healthcare Data Science lab00424
    HIAL6502Foundations of Cloud Computing Lab00424
    —Soft Skills00001
    —Mentoring00001
    —Technical Seminar00001
    —Library00001
    —Physical Activity00002
    —Co-curricular activity00001
    —Self-Learning00001
    TOTAL15682436
  • Course CodeCourse NameHours per weekCreditsTotal Hours per week
    LTP
    HIAT6505Healthcare Data Engineering31044
    HIAT6506Clinical Decision Support Systems31044
    HIAT6507Healthcare Data Visualization and Analysis31044
    HIAT6508AI In Healthcare31044
    HIAT6602Program Elective – 231044
    HIAL6503Healthcare Data Engineering Lab00424
    HIAL6504Healthcare Data Visualization and Analysis Lab00424
    —Soft Skills00001
    —Mentoring00001
    —Technical Seminar00001
    —Library00001
    —Physical Activity00002
    —Co-curricular activity00001
    —Self-Learning00001
    TOTAL15582436
  • Course CodeCourse NamePeriods per weekCreditsHours per week
    LTP
    HIAT7509Research Methodology and Ethics in Healthcare31044
    HIAT7510Business Intelligence and Healthcare Management31044
    HIAT7603Program Elective – 331044
    HIAT7604Program Elective – 431044
    HIAP7501Mini Project0014816
    —Mentoring00001
    —Physical Activity00002
    —Self-Learning00001
    TOTAL124162436
  • Course CodeCourse NamePeriods per weekCreditsHours per week
    LTP
    HIAP7502Major Project00361836
    TOTAL00361836
  • Program Elective – 1 (HIAT6601)Program Elective – 2 (HIAT6602)
    1. Medical TerminologyA. Advanced Genomics, Proteomics and Computer Aided Drug Designing
    2. Mathematical Foundations of Health InformaticsB. Internet of Meical Things
    Program Elective – 3 (HIAT7603)Program Elective – 4 (HIAT7604)
    1. Deep Learning and Computer Vision1. Agentic AI
    2. PharmacoinformaticsB. Intellectual Property Rights
    3. One MOOCs course related to “AI In Healthcare – 2” with the permission of DepartmentC. One MOOCs course related to “AI In Healthcare – 3” with the permission of Department

PROGRAM FEE AND SCHOLARSHIPS

One-Time FeeAdmission Fee₹ 10,000
1st YearTuition Fee + Annual Recurring Fee₹ 1,87,000 + ₹ 13,000
2nd YearTuition Fee + Annual Recurring Fee₹ 1,87,000 + ₹ 13,000
Total Course Fee₹ 4,10,000

Scholarship is available for eligible students

Eligibility

B.Tech / BE / MBBS/ BDS/ B. Sc Nursing/ B.P.T./ BBA / B.Sc. Allied Health Sciences/ B.Sc. Life sciences/ B.Pharmacy/ B.Sc. Data Science/ Mathematics/ Physics/ Chemistry/ Computer Science from a recognized university with at least 50% aggregate marks.

EMPLOYABILITY AREAS

Our students of M.Sc. Health Informatics and Analytics program are typically employed as

M.Sc. Health Informatics
  • Data Scientists
  • Analytics Experts
  • Database Managers
  • Product Developers
  • Implementation and Security Specialists
  • Health IT Systems Analysts
  • Health IT Researchers

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