M.Sc. in Digital Epidemiology

Commencing from the academic year 2021-22, the MSc Programme in Digital Epidemiology offered at the Department of Data Science is designed to equip students with the skills and knowledge to analyze dynamic and large-scale epidemiological and non-epidemiological data. This program aims to achieve data-driven, evidence-informed policy impacts for the global community.

Programme objectives

• Methodological Expertise: Develop proficiency in designing efficient and scalable algorithms for processing, mining, and analyzing big data in epidemiology.
• Strong Foundations: Provide a solid grounding in the multi-disciplinary facets of epidemiology, including statistical methods and computational techniques.
• Data-Driven Research: Foster the ability to conduct 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

Duration

Two-year full-time programme with a semester -based curriculum with a full semester dedicated to project/ thesis work and internship. 

Eligibility Criteria

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

• BSc. in Statistics, Mathematics, or Computer Science
• BE/B. Tech/BCA
• Any other Graduation with a minimum of two years of learning of Mathematics or Statistics

Note: Programming knowledge is a prerequisite 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

Apply at https://apply.manipal.edu/.

Choose Stream: Data Science to apply for this programme. 

Click here for the Programme Brochure