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Course Details

MODE

Full time

DURATION

24 Months

Biomedical Data Science spans a range of biological and medical research challenges that are data intensive and focused on the creation of novel methodologies to advance biomedical science discovery. The term “Data Science” describes expertise associated with taking (usually large) data sets and annotating, cleaning, organizing, storing, and analyzing them for extracting knowledge. It merges the disciplines of statistics, computer science, and computational engineering” (Annual Review of Biomedical Data Science).

The past decade has seen major advances in our ability to acquire data on human health across multiple spatiotemporal scales. This wealth of data poses challenges that have never before been confronted. At the heart of these is understanding how massive biomedical data sets are best analyzed to discover new knowledge about the function of living systems in health and disease, and how this knowledge can be harnessed to provide improved, more affordable health care (Johns Hopkins University).

The M.Tech. program in Biomedical Data Science provides an educational curriculum that will train students on how to solve complex problems through the analysis of massive and diverse biomedical data from diverse sources. We are creating a common research and teaching space where students and faculty from the Centre for Life Sciences work together to develop novel technologies and data analysis methods that are needed to improve our ability to diagnose and treat diseases more effectively while reducing costs.


Eligibility Criteria

B.E./ B.Tech./ B.Sc. (Engineering) / B.Sc. (4-year program) / M.Sc. / M.C.A. / MBBS / BDS / B.Pharm./ B.V.Sc.

A minimum of 60% marks in aggregate, OR (2) a First Class as specified by the University, OR (3) a minimum Cumulative Grade Point Average (CGPA) / Cumulative Performance Index (CPI) of 6.0 on the scale of 0-10; OR (4) an equivalent to 6.0 on other corresponding proportional requirements when the scales are other than 0-10.

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