MBA (Healthcare Analytics)

The MBA Healthcare Analytics program is a comprehensive two-year, full-time programme designed to equip you with the essential skills needed to excel in the dynamic field of healthcare analytics. This industry-focused curriculum seamlessly integrates management competencies with advanced analytics techniques, providing students with the expertise to navigate the intricate landscape of healthcare data management. Our program prepares individuals to effectively contribute to the healthcare analytics industry by leveraging data-driven insights. Students will be exposed to a wide range of topics such as Health Management Information System, Big Data in Healthcare, Healthcare Risk Management, Clinical Data Management and other relevant courses. Our expert faculty, comprised of experts in both healthcare management and analytics, is dedicated to imparting knowledge and experience, guaranteeing a top-tier education. The state-of-the-art facilities at our institution provide students with access to cutting-edge technology, facilitating a learning environment that keeps them at the forefront of industry trends. Upon completion of our program, students will have access to lucrative career opportunities in healthcare analytics, positioning them as highly sought-after professionals in both domestic and international job markets. Students will be well-equipped to address the evolving challenges and contribute meaningfully to the burgeoning field of healthcare analytics.

Programme Educational Objectives

PEO 1 To develop skills to make informed, data-driven decisions in healthcare management and analytics, ensuring that healthcare organizations operate efficiently and effectively.
PEO 2 To develop a deep understanding of contemporary analytical concepts and techniques and apply them effectively in healthcare analytics for optimized managerial roles.
PEO 3 To make competent healthcare leaders capable of managing complex healthcare organizations and programs to improve the quality of healthcare services
PEO 4 To enhance the healthcare analytics capacity of students making them proficient in using data to identify trends, solve problems, and to improve healthcare outcomes

Course Duration

2 Years

Programme Structure

Eligibility Criteria

Fee Structure

Scholarship Policy

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Programme Outcome

PO 1 Apply advance knowledge of the healthcare analytics to foster culture of creativity and innovation in healthcare industry.
PO 2 Understand data-driven strategies for efficient planning, execution, and evaluation of healthcare programs, both institutional and community-based.
PO 3 Apply data management skills to efficiently manage healthcare data, including Electronic Health Records (EHR) and Health Management Information Systems (HMIS), ensuring accurate record-keeping and secure data access for addressing complex problems in healthcare and hospital management.
PO 4 Analyze and apply a strategic perspective in healthcare management, including supply chain analytics, healthcare information systems, clinical data management, risk management, ethics, and data compliance.
PO 5 Develop expertise in harnessing the potential of big data for healthcare, enabling the analysis of vast datasets to derive valuable insights for healthcare management and decision support.
PO 6 Create collaboration with industry and public health institutions to enhance professional exposure

Programme Structure

First Year

Core Courses

Term 1

  • Health Policy and Health Care Delivery System
  • Bio-Statistical reasoning for Healthcare analytics
  • Essentials of Demography
  • Essentials of Epidemiology
  • Business Communication
  • Principles of management

Term 2

  • Essentials of Health Economics and Financing
  • Human Resource Analytics
  • Database management system in Health
  • Corporate Finance Analytics
  • Qualitative Data Analysis

Term 3

  • Research Methods
  • Basics of Data Analysis
  • Data Visualisation with Tableau and Power BI
  • Data security and Privacy
  • Clinical Data Management

Second Year

Term 4

  • Digital Health
  • R for Analytics
  • Python for Analytics
  • Predictive Analytics and Forecasting
  • Healthcare Ethics and Data compliance

Term 5

  • Artificial Intelligence and Machine Learning
  • Big Data in Healthcare
  • Data Warehousing and Management
  • Health Economics and Outcome research
  • Systematic review and meta-analysis

Term 6

  • Randomized Control Trials and Diagnostic Test
  • Data Simulation Lab
  • Marketing Analytics
  • Deep learning and Neural networks for Healthcare analytics

Summer Training

Each student is required to work with an organization, on a project, for a period of eight weeks at the end of the first year. The objective is to allow students an intense day-to-day interaction with organizations. Summer Training provides students exposure to the working of an origination in real time. It also helps students to develop managerial skills, competencies and facilitate an informed career choice by the students. Performance of the students during summer training is assessed by way of report from the institution and poster presentation.

Elective Courses

Elective courses are offered depending on current industry needs, student’s requirement and their interests.

Dissertation and Internship

Each student is required to submit a dissertation involving primary research in his/her area of interest. The dissertation includes a critical review of literature of specific area of interest, data collection, and analysis on the selected problem. The dissertation must be completed in the second year to qualify for the degree.

Eligibility Criteria

  • A Graduate from any discipline with 50% or above [45% or above for SC/ST/OBC/ EWS/ PwD] aggregate marks or equivalent CGPA.
  • Candidates in the final year of the bachelor's degree may also apply. If they would furnish evidence of meeting the minimum eligibility criteria by September'2025

Selection Procedure

The eligible candidates will be invited for the Group Discussion (GD) and Personal Interview (PI). Final selection of the candidate is based on his/her performance in the qualifying examination, score in CAT/ XAT/ NMAT/ MAT/ CMAT/ ATMA/ IIHMR-U MAT, Group Discussion (GD), and Personal Interview (PI) as under:

CAT/ XAT/ NMAT/ MAT/ CMAT/ ATMA/GPAT*/IIHMR-U MAT 35
Qualification (Graduation Marks) 30
Group discussion 15
Personal interview 20
Maximum Marks 100

* More weightage will be given to national level entrance tests i.e. CAT/ XAT/ NMAT/ MAT/ CMAT/ ATMA/GPAT over IIHMR-U MAT at the sole discretion of the Admission committee
Candidates are required to bring their original documents at the time of GD/PI.

Education Loan Assistance

All major banks provide bank loan for this course. Students who wish to apply for the bank loan may formally take admission in the university by paying their first installment. The student may share the bank and branch where he/she wish to apply for an education loan, the admission department will help the aspiring students understand the loan procedure and the required documents as per the bank will be provided upon request.

How To Apply

First Mover | Till 28th February 25 | Rs. 1000
Early Bird | Till 31st May 25 | Rs. 1200
Last Date | Till 31st July 25 | Rs. 1500
  • Registration Fee for IIHMR UMAT Examination - Rs. 500 only
  • Student will be allowed to take IIHMR UMAT maximum three times which includes first attempt in addition to two retake attempts. Fee of Rs. 500 will be applicable for each retake of IIHMR UMAT.
  • No Fee is applicable for rescheduling IIHMR UMAT or GD-PI
  • Registration fee for IIHMR UMAT as well as Application fee is not refundable under any circumstances


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Phone: 91-141-3924700, 2791431-32

E-mail: iihmr@iihmr.edu.in

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Last Updated on: 18-11-2024

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