The MSc Programme in Digital Epidemiology (from academic year 2021-22 onwards) offered at the Department of Data Science aims to build competencies in designing efficient and scalable algorithms for processing, mining, and analyzing dynamic and large-scale epidemiologic/non-epidemiologic data. The programme aspires to achieve data-driven, evidence informed policy impacts for the benefit of the global community by nurturing the students with inter-disciplinary expertise through

• Methodological expertise in big data analysis and its applications

• Strong methodological foundations in multi-disciplinary facets of epidemiology

• Data driven evidence-based research and development using advanced computational capabilities

Curriculum Overview

·         Probability and Probability Distributions

·         Epidemiology

·         Computational Mathematics

·         Biostatistical Inference

·         Linear Regression Models

·         Categorical Data Analysis and Logistic Regression Models

·         Clinical Trials

·         Disease Modelling and Spatial Modelling

·         Programming with R and Python

·         Data Management and Data Warehousing

·         Data Processing Techniques

·         Digital Infrastructure

·         Digital Innovation Methods

·         Digital Monitoring and Evaluation

·         Digital Communication

·         Digital Legislation and Policy

·         Machine Learning Methods

·         Deep Learning and Text Mining

·         Health Technology Assessment

·         Certification in Research Methodology and Health Informatics


Two-year full-time programme with modular-based curriculum framework.

Eligibility Criteria

Graduates with the following qualifications (with a minimum of 60% of marks or equivalent grade) from UGC Recognized Universities may apply for MSc (Digital Epidemiology) programme.

• BSc. Statistics/Mathematics/ Computer Science

• BE/B. Tech/BCA

• Any other Graduation with a minimum of two years of learning of Mathematics or Statistics

• Programming knowledge is a pre-requisite for admissions to this programme

Selection Criteria

Selection of eligible candidates will be based on merit of rank obtained in the entrance examination and/or personal interview. In the absence of entrance examination/interview, the merit of rank is prepared by using the grade obtained in Mathematics and/or Statistics and/or Computer Science in the qualifying examinations.

Placement Assistance

The department prepares students for a promising career in the domains of health care technology, e-health governance, policy think tanks along with research and academia. Through industry-academia collaborations, the department provides placement assistance to the students on successful completion of the course.

How to Apply

Applications open for the academic year 2022-23.

Apply at https://apply.manipal.edu/.

Choose Stream: Data Science to apply for this programme. 

Click here for the Programme Brochure

Key Dates & Deadlines


Mar 15 24

Mar ' 24

Last date to Apply


Tentative Course Commencement Date


Access to hospital facilities gives student hands-on training

Innovation Centre
State-of-the-art Innovation Centre facilitates multi-disciplinary research

Laboratories give students the opportunity for practical experience

Sports & Fitness
Marena has world-class facilities with courts for badminton, tennis, soccer & squash, as well as a well-equipped gymnasium

Libraries give students access to study resources, digital and print

Student Housing
Student hostels are their homes away from homes