Admissions Open — 2027 Batch

Healthcare Analytics & AI | Allied Healthcare Sciences

Master of Healthcare Analytics and AI

A postgraduate degree that teaches you to turn hospital and population health data into decisions, using statistics, machine learning and AI, with applied exposure to the data, quality and IT teams of a nearby Apollo hospital or one of our partner hospitals.

Usually 2 Years (set by the University) Health, Life-Science, Technology or Statistics Graduates Machine Learning & AI for Healthcare Capstone Project Partner University Degree
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2 Years, usually (set by the Partner University)
4 Semesters in the Usual Scheme
1 Capstone Project
5 Career Roles Covered

What is Healthcare Analytics and AI?

Hospitals produce large amounts of data: electronic records, lab results, images, claims and device readings. Healthcare analytics uses statistics and programming to find patterns in that data, for example to predict readmissions, plan beds and staff, or spot quality problems early. AI methods such as machine learning extend this to tasks like risk prediction and reading images or text. The course also covers ethics, privacy and the rules for using patient data responsibly.

Choose a partner university tied up with Apollo Healthcare Academy (see our partner universities), train at a nearby Apollo hospital or one of our partner hospitals, and get hands-on experience, career guidance and job and placement support from AHA. Your partner university awards the degree.

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WHY MASTER OF HEALTHCARE ANALYTICS AND AI

Programme Highlights

Here is what makes the Master of Healthcare Analytics and AI with Apollo Healthcare Academy a strong step towards a career in health data:

01
Statistics, programming and data handling

Statistics, Programming & Data

Statistics, programming and data handling for health data.

02
Machine learning and AI

Machine Learning & AI

Machine learning and AI applied to clinical and operational problems.

03
Standards, privacy and ethics

Standards, Privacy & Ethics

Health data standards, privacy and ethics.

04
Capstone project

Capstone Project

A capstone project on real or realistic health data.

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Programme Objective
ABOUT THE PROGRAMME

Programme Objective

The programme prepares graduates who can:

Clean, analyse and model health data.
Communicate findings to clinicians and managers.
Use AI tools responsibly.
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CORE CURRICULUM

HEALTHCARE ANALYTICS AND AI SYLLABUS & SUBJECTS

The list below shows the usual arrangement of subjects. The partner university sets the final scheme.

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Semester I

Healthcare Systems Biostatistics Programming for Data Analysis Databases and Data Management
01
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Semester II

Health Data Standards Data Visualisation Predictive Modelling Epidemiology Basics
02
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Semester III

Machine Learning for Healthcare Natural Language Processing Clinical Decision Support Privacy and Ethics
03
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Semester IV

badge Capstone project and internship
Capstone Project and Dissertation Internship
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ADMISSION INFORMATION

Healthcare Analytics and AI Admission, Eligibility & Fees

Everything you need to know about eligibility, how to apply and fees for the Master of Healthcare Analytics and AI programme, 2027 admissions.

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ELIGIBILITY CRITERIA

  • tick A bachelor's degree in a health, life-science, technology, statistics or related field, with the minimum marks the partner university sets.
  • tick Graduates in health, life-science, technology, statistics or related fields can apply.
  • tick The course teaches programming from the start; prior exposure helps, but the partner university confirms its entry rules.
  • tick Duration is as set by the partner university (usually two years).
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WHO IS IT FOR

Health graduates who want data skills, and technology graduates who want to work in healthcare.

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TUITION FEE

SHARED AT COUNSELLING

2027 BATCH

Fees are shared by the admissions team at counselling. Please confirm the current fee with the institution once before you decide.

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HOW TO APPLY

  • tick Talk to the Apollo Healthcare admissions team.
  • tick Pick a partner university from our list.
  • tick Upload your degree marks sheet.
  • tick Complete counselling and the document check.
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CAREER OUTLOOK

Build a Rewarding Career in Healthcare Analytics

Many kinds of organisations use analysts who can work with health data.

who uses health data analysts

  • Hospitals and health-technology firms.
  • Insurers.
  • Pharmaceutical and research organisations.
  • Public health bodies.

what sets these roles apart

  • The mix of clinical understanding and data skills is what sets these roles apart.
CAREER OPPORTUNITIES

Jobs and Career Options after Healthcare Analytics and AI

Graduates can work as data analysts, clinical data scientists, informatics specialists, analytics consultants and research analysts.

ROLE WHAT YOU DO
Healthcare data analyst Analyse hospital and quality data
Clinical data scientist Build predictive models on clinical data
Health informatics specialist Connect clinical and IT teams on data systems
Analytics consultant Advise providers and insurers on data use
Research analyst Support health research studies
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STEP 1

Analyst

2
STEP 2

Senior Analyst

3
STEP 3

Analytics Lead

4
STEP 4

Head of Data
or Analytics

FAQ

Healthcare Analytics and AI FAQs

Everything you need to know about the Master of Healthcare Analytics and AI programme: eligibility, coding, careers and what Apollo Healthcare Academy provides.

Disclaimer:

The information on this page is for guidance. Eligibility, fees and course details follow the rules of the partner university and can change. Please confirm the current details with the institution before you apply.

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