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 365体育投注 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


May 31 24

May ' 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