B.Tech in Computational
Computational biology is the application of computer science, statistics, and mathematics to not only store, analyse and utilize biological information but also uncover new biological knowledge through computational approaches to develop products of commercial value in medical, pharmaceutical, industrial and agricultural industries, academia, and clinics.
The global computational biology and bioinformatics market is projected to reach USD 21.8 billion by 2026 from USD 10.7 billion in 2021, growing at a CAGR of 15.2% The field includes foundations in computer science (algorithm design, AI/ML), applied mathematics, statistics, biochemistry, molecular biology, genetics, genomics, biophysics, ecology, evolution, anatomy, neuroscience, etc.
eHR: India will digitize country’s health care delivery system by building registries of healthcare providers and facilities, providing unique health identity to all residents, and ensuring universal access to health care through healthcare informatics . Established companies in biotech, biomedical, pharmaceutical and hundreds of startups are struggling to find trained computational biologists or bioinformaticians.
The Program will offer 5 specializations for students keen to pursue career in a particular domain –
Technical Competencies: The program will
deliver following competencies
Biological data generation technologies
Statistical methods in the context of molecular biology, genomics, medical, and population genetics research
Bioinformatics tools and their usage
Computing requirements appropriate to solve a given scientific problem (e.g., system, process, algorithm, component or program; define algorithmic time and space complexities and hardware resources required to solve a problem).
Command line and scripting based computing skills appropriate to the discipline
Construction of software systems of varying complexity based on design and development principles
Local and global impact of bioinformatics and genomics on individuals, organizations, and society.
Professional, ethical, legal, security, and social issues, and responsibilities in the workplace
Effective communication of bioinformatics and genomics problem/issue/topics with a range of audiences
Teamwork to accomplish a common scientific goal. Engage in continuing professional development in computational biology