Bachelor of Science (B.Sc) (Honours / Honours with Research)

Computational Biology


The minimum qualification required to apply is a pass in the 10+2 examination in Science from PUC/ISC/CBSE or an equivalent board with Biology as one of the core subjects along with Physics/Chemistry, /Maths/Computer Science.


This B.Sc. course degree integrates Molecular Biology, Mathematics, Computer Science, Information Technology, Physics, and Genetic Engineering, the collective potential for biomedical research and developmental endeavours. Computational Biology, an interdisciplinary discipline within this programme, involves the analysis of biological data and the creation of innovative software using computational tools.

This flourishing field finds extensive applications in the study of genomics, proteomics, metabolomics, nutrigenomics, 3D protein structure modelling, image analysis, and drug design. Furthermore, the programme equips students with robust computer programming skills, enabling them to leverage algorithms, software, and databases while mastering artificial intelligence and data mining techniques.


3 years Degree programme

4 years Honours programme

4 years Honours with Research programme


Bachelor of Science in Computational Biology

Bachelor of Science (Honours - Academics) in Computational Biology

Bachelor of Science (Honours with Research) in Computational Biology

No. of Credits

120 minimum and as specified

160 minimum and as specified

160 minimum and as specified


As per University norms

As per University norms

Minimum GPA eligibility will apply

Program code: 003A
Course code : 3A10
Course Commencement : July 2024

Study Campus

School of Sciences
#34, 1st Cross
J C Road
Bangalore - 560027
P +91 80434 30100

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
P : +91 7337880218
P : +91 9844073343

Curriculum Structure
  • Basics of Biology
  • Fundamentals of Chemistry
  • Mathematics I – Basic Mathematics and Combinotorics
  • Computational applications in Biology
  • Cell Chemistry
  • Python programming
  • Metabolism & Enzymology
  • Medicinal Chemistry
  • Data computation & Biostatistics
  • Molecular Biology
  • Structural Bioinformatics
  • Database Management
  • Advanced topics in Computational Biology
  • Computational Chemistry/ Green Chemistry
  • Computational Physics/Biophysics
  • Molecular Modelling and Drug Designing-I
  • Big Data Analytics/Machine Learning in Bioinformatics
  • Nanotechnology/ Biodiversity
  • Molecular Phylogenetics
  • Functional Genomics
  • Research Methodology
  • Rationale design of drug
Course Highlights
  • Caters to the growing demand for scientists who have cross-disciplinary expertise.
  • The B.Sc. degree course delivers a platform to unlock the genetic detailing of various diseases using biological tools.
  • Provides various strategies and algorithms to predict new drug targets.
  • Aims to provide biological and medical information to allow for individualised healthcare.
  • Employs machine learning and deep learning techniques for genomic testing and mutation studies.
  • Identifying the basis for disease resistance and stress tolerance in plants.
Career Enhancement Programs

The Career Enhancement programmes are tailored to align with current industry standards. This approach reflects the institution's commitment to building a unique and capable talent pool. Evaluation is based on internal assessment, seminars, assignments, practical and theory examinations and reports prepared by the students. To ensure students remain at the forefront of employability, the career enhancement programme focuses on equipping them with essential soft skills. These skills include communication, presentation, public speaking, personality development, and interview techniques.

Career Outcomes

Exploring Opportunities after B.Sc. Computational Biology

Graduates with a B.Sc. Computational Biology degree find themselves in great demand among a diverse pool of employers, offering a range of career avenues.

Career Prospects

  • Bioinformatics ‘c’ Programmer
  • Computational Biologist
  • Techno-Commercial Executive/Technical Executive
  • Pharmacovigilance
  • Clinical Data Management
  • Clinical Research
  • Molecular Modelling
  • Genomic Scientist
  • Drug Designing
  • System Biology Analyst
  • Drug Discovery Specialist
  • Database Developer
  • Insilico Regulatory Support
  • Functional Genomic Scientist
  • Big Data Analyst