Programme Overview

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.

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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 必威体育betway888: 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 必威体育betway888 Methodology and Health Informatics

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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.

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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.

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How to Apply

Apply at?https://apply.manipal.edu/.

Choose Stream: Data Science to apply for this programme.?

Click here for the Programme Brochure

Key Dates & Deadlines

15

Jul 15 24

Jul ' 24

Last date to Apply

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Tentative Course Commencement Date

Facilties

Healthcare
Access to hospital facilities gives student hands-on training
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Innovation Centre
State-of-the-art Innovation Centre facilitates multi-disciplinary research

Labs
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
Libraries give students access to study resources, digital and print

Student Housing
Student hostels are their homes away from homes