M.Tech in Biomedical Data Science

The vast amount of biomedical data being generated today has created a tremendous need for highly skilled data scientists who can use this information to advance care. (Xinxin (Katie) Zhu, MD, PhD, executive director of the Yale Center for Biomedical Data Science)
The postgraduate program (MS program) in Biomedical Data Science is already being offered by top universities around the world, however, there is no such program offered by any Indian University yet. Therefore, this would be the first such program to be offered by any Indian University.

 There has been a great increase in the amount of biomedical data over the past decade. Along with the expanding application of large-scale genomic sequencing, other modalities such as mobile health (mHealth) data and imaging have added to the rise. At the same time, computing power and storage capacity have continued to increase, allowing us to mine and model biomedical data with unprecedented ability. Together, these trends have given rise to the new field of Biomedical Data Science. Computations in biomedical data science range from simple statistical associations to complex machine learning models, to simulations of molecular, cellular, and organismic systems. From basic biological research to clinical investigation, the need for the tools of biomedical data science is ever-expanding. The Centre for Life Sciences taps the broad expertise of researchers of the Centre to make this program successful. The Centre for Life Sciences further aims to enhance research in the broad area of biomedical data science in the coming years. The Centre for Life Sciences offers this program with the goal of helping to train students to become the next generation of biomedical research pioneers who are well-trained for job opportunities in the industry and academia.