A constituent unit of Shri Dharmasthala Manjunatheshwara University
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M.Sc. Computational Biology

M.Sc. Computational Biology

Introduction to Program

The integrated discipline of computational biology/bioinformatics represents the application of modern computer science, statistics, and mathematics to exploring biological and biomedical problems. The program emphasizes multidisciplinary competency, interdisciplinary collaboration, and transdisciplinary research. It offers an integrated and customizable curriculum consisting of four semesters of didactic coursework tailored to students’ backgrounds and interests, research rotations with faculty mentors spanning computational biology’s core disciplines, and dissertation research jointly supervised by computational and biological faculty mentors.

Objectives of the Program

M.Sc. Computational Biology is a two-year (four-semester) postgraduate program that enables students to acquire the skill set needed at the interface of biological and computational sciences. Computational Biology, as a discipline and a set of skills, has become one of the most important tools for information gathering, big-data mining, and knowledge building in current research and applications, with vast scope for further innovation.

The M.Sc. in Computational Biology program offered by Shri Dharmasthala Manjunatheshwara University, Dharwad, enrolls students who wish to explore research in computational biology or seek immediate careers in industry. Taught by faculty from the SDM Research Institute of Biomedical Sciences (RIBS) and the SDM Centre for Cellular and Molecular Sciences (CCMS), the program offers two tracks based on students’ educational backgrounds:

  1. Students with a general science or engineering background
  2. Students with a focused background in biological sciences

The program ensures that students gain a broad understanding of bioinformatics, computational biology, and related subfields; apply their knowledge and analytical skills to create effective and novel solutions to practical problems; and communicate and work effectively in collaborative environments.

The curriculum includes biological experimental concepts in biotechnology as well as computational courses such as Python, R Programming, Big Data Analysis, Artificial Intelligence, and Drug Discovery—critical skill sets in today’s digital and data-driven world. Graduates can pursue careers in biopharmaceutical and biotechnology companies, research labs, hospitals, universities, and software companies.

Structure of the Program