Introduction to Master of Data Science
This program prepares health professionals from a broad range of backgrounds, with knowledge and skills from a variety of disciplines, to define, critically assess and resolve public health and nutrition problems. Various fields of study allow students to focus on Indian public health issues and international public health, including nutrition and tropical health.
Master of Data science is a full-time Post Graduate program. The medium of Instruction will be English. The program includes core courses and electives which can be selected from a range of options. The program will be offered on campus. The 1st year is common comprising of 2 semesters. The second-year students chose their respective specialization and go on to do their dissertation in the final semester.
Objectives
The M.sc Data science program seeks to provide students with an in-depth understanding of issues in public health principles and practice and apply this to the specific challenges in delivery, research, planning and management of health services in their national context. The learning outcomes are:
- Thorough understanding of global and national public health issues
- Insight into the Health systems and their potential impacts on future public health policy directions in both developed and developing nations
- Comprehensive understanding of the tools available to systematically assess and evaluate health needs
- Critical awareness of how the research process may be applied in the study of public health
Core Modules
- Fundamentals of Biostatistics and Epidemiology
- Python Programming for Data Analytics
- Big Data Technology
- Big data Security
- Algorithms for Advanced Data Analytics
- Data Analysis using SAS
- Categorical Data and Survival
- Nonparametric Methods
Students take summer projects on completing the 1st year and faculty guides them through these summer projects. This summer project provides them the knowledge to meet the demands of the Industry when they get placed. They also take 6 months internship in the 4th semester. The faculty guides them with their dissertations and students return for their viva voce which establishes their scores for obtaining the degree.
Faculty Mentorship for Students
A unique mentorship ideal where each student is assigned a faculty who will be a mentor at the beginning of the program. The role of the mentor stands as a source of professional guidance throughout the program and beyond.
Admission Criteria
The applicants would have to go through a process of Selection Test for admission to the MSc Program. The Selection Test would include an Aptitude test/ Written essay and or an Interview. Admission to the MSc course would be based on candidates’ Selection Test score, the previous academic performance, relevant work experience and participation in extracurricular activities.
The Management, however, reserves the right to select nominated candidates from Government, NGOs and Research institutions only on the basis of interview.
Following selection, a candidate would be admitted to the MSc Programme, after he/she fulfills all the requisite admission requirements stipulated in the offer of admission. If any candidate fails to fulfill any of the requirements within the stipulated time, the Management reserves the right to offer the seat to the next candidate on the waiting list. The decision of the Management Committee would be final in this respect.
Selection Criteria
Selection is based on academic merit and performance in the interview.