COURSE OVERVIEW

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

Programme Curriculum
- I Semester + -
3 Week Induction Programme Course Code Course Name Periods per week Credits Hours per week L T P HIAT6501 Fundamentals of Clinical Informatics 3 1 0 4 4 HIAT6502 Foundations of Cloud Computing 3 1 0 4 4 HIAT6503 Healthcare Data Science 3 1 0 4 4 HIAT6504 Standards for Digital Health 3 1 0 4 4 HIAT6601 Program Elective – 1 3 1 0 4 4 HIAL6501 Healthcare Data Science lab 0 0 4 2 4 HIAL6502 Foundations of Cloud Computing Lab 0 0 4 2 4 — Soft Skills 0 0 0 0 1 — Mentoring 0 0 0 0 1 — Technical Seminar 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Co-curricular activity 0 0 0 0 1 — Self-Learning 0 0 0 0 1 TOTAL 15 6 8 24 36
- II Semester + -
Course Code Course Name Hours per week Credits Total Hours per week L T P HIAT6505 Healthcare Data Engineering 3 1 0 4 4 HIAT6506 Clinical Decision Support Systems 3 1 0 4 4 HIAT6507 Healthcare Data Visualization and Analysis 3 1 0 4 4 HIAT6508 AI In Healthcare 3 1 0 4 4 HIAT6602 Program Elective – 2 3 1 0 4 4 HIAL6503 Healthcare Data Engineering Lab 0 0 4 2 4 HIAL6504 Healthcare Data Visualization and Analysis Lab 0 0 4 2 4 — Soft Skills 0 0 0 0 1 — Mentoring 0 0 0 0 1 — Technical Seminar 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Co-curricular activity 0 0 0 0 1 — Self-Learning 0 0 0 0 1 TOTAL 15 5 8 24 36
- III Semester + -
Course Code Course Name Periods per week Credits Hours per week L T P HIAT7509 Research Methodology and Ethics in Healthcare 3 1 0 4 4 HIAT7510 Business Intelligence and Healthcare Management 3 1 0 4 4 HIAT7603 Program Elective – 3 3 1 0 4 4 HIAT7604 Program Elective – 4 3 1 0 4 4 HIAP7501 Mini Project 0 0 14 8 16 — Mentoring 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Self-Learning 0 0 0 0 1 TOTAL 12 4 16 24 36
- IV Semester + -
Course Code Course Name Periods per week Credits Hours per week L T P HIAP7502 Major Project 0 0 36 18 36 TOTAL 0 0 36 18 36
- Program Elective + -
Program Elective – 1 (HIAT6601) Program Elective – 2 (HIAT6602) 1. Medical Terminology A. Advanced Genomics, Proteomics and Computer Aided Drug Designing 2. Mathematical Foundations of Health Informatics B. Internet of Meical Things Program Elective – 3 (HIAT7603) Program Elective – 4 (HIAT7604) 1. Deep Learning and Computer Vision 1. Agentic AI 2. Pharmacoinformatics B. Intellectual Property Rights 3. One MOOCs course related to “AI In Healthcare – 2” with the permission of Department C. One MOOCs course related to “AI In Healthcare – 3” with the permission of Department
PROGRAM FEE AND SCHOLARSHIPS
| One-Time Fee | Admission Fee | ₹ 10,000 |
| 1st Year | Tuition Fee + Annual Recurring Fee | ₹ 1,87,000 + ₹ 13,000 |
| 2nd Year | Tuition 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

- Data Scientists
- Analytics Experts
- Database Managers
- Product Developers
- Implementation and Security Specialists
- Health IT Systems Analysts
- Health IT Researchers
FAQs
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What is the scope of M.Sc. Health Informatics?
+ -M.Sc. Health Informatics helps you build a career in healthcare data, IT and analytics, with jobs in hospitals, research and health tech companies.
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Who is eligible for M.Sc. Health Informatics?
+ -You need a bachelor’s degree in science, technology, medicine, pharmacy or related fields with at least 50% marks.
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How long is the Health Informatics course?
+ -M.Sc. Health Informatics programme is usually of two years.
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What is the salary of M.Sc. Health Informatics?
+ -In India, salaries range from ₹3.5 LPA to ₹15 LPA, depending on the role and experience.
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Is Health Informatics in demand in India?
+ -Yes, health informatics is increasing rapidly in India due to digital healthcare and demand for data-driven solutions.

