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BSc Computational Biology

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

Computational Biology with Minor in Data Science / Computer Science / Chemistry

Eligibility

Candidates must have completed their 10+2 (level 4.0 / Class 12) or equivalent examination from a recognised board.    

Duration: 4 Years (8 Semesters)

Total Credits: 176 Credits (As per UGC FYUGP & NCrF)

Overview

The B.Sc in Computational Biology at JAIN (Deemed-to-be University) is a future-focused undergraduate programme that combines biology, chemistry, computer science, AI, statistics, and drug discovery. Designed for students seeking a flexible, interdisciplinary learning path, this programme offers a major in Computational Biology with a minor in Data Science, Computer Science, or Chemistry, along with hands-on lab training and industry-oriented certifications in collaboration with Insilicomics.

Recognised as one of the best B.Sc Computational Biology colleges in Bangalore and consistently ranked among the top B.Sc Computational Biology colleges in Bangalore, JAIN (Deemed-to-be University) provides an advanced curriculum, research opportunities, and global exposure, making it one of the best colleges for B.Sc Computational Biology in India.

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Program code: 003A
Course code : 3A10
Course Commencement : Jul 2026
enquiry.ug@jainuniversity.ac.in

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
  • Physiology and Diversity of Biological Systems

  • Computer Applications in Biology
  • Cell Chemistry

  • Python Programming
  • Biomolecular Physics
  • Computational Biophysics

  • Research Methodology
  • Medicinal Chemistry
  • Topics in Pharmacology
  • Immunoinformatics
  • Medical Informatics

  • Tools and Techniques in Computational Biology
  • Structural Bioinformatics
  • Translational Bioinformatics
  • Genomics and Proteomics
  • Multiomics Technology
  • Project

  • R for Biologists
  • Rational Design of Drugs
  • Drug Discovery and IPR
  • Data Mining and Machine Learning in Biology
  • Machine Learning for Health Informatics
  • Project

  • Database Management Systems
  • Calculus and Linear Algebra
  • Discrete Mathematics
  • Medical and Population Genomics
  • Cancer Genomics
  • Project

  • Network Biology and Visualisation
  • Biomolecular Simulations
  • Molecular Modelling and Simulations
  • Next Generation Sequencing
  • Systems Biology
  • Project

Sl. No.

Nature of the Course

Credits

1

Major

88

2

Minor

34

3

Ability Enhancement Courses

12

4

Skill Enhancement Courses

09

5

Value Added Courses

10

6

Multidisciplinary Courses

9/11

7

Internship

02

8

Research

10/12

Total

  

176

Course Highlights

  • Flexible Major–Minor Structure: Customise your academic journey with a major in Computational Biology and a minor in Data Science, Computer Science, or Chemistry, aligned with NEP 2020 guidelines.
  • Industry-Oriented Certifications: Earn specialised certifications in AI, Molecular Modelling & Drug Discovery through collaboration with Insilicomics, equipping you with practical skills for the biotech and pharma industries.
  • Hands-On Learning & Research: Every semester integrates laboratory practicals, computational labs, molecular modelling, bioinformatics tools, sequence analysis, and capstone projects to develop strong research and analytical capabilities.
  • Cutting-Edge Curriculum: Covers Python, R, AI, machine learning, genomics, proteomics, structural bioinformatics, multiomics technologies, and systems biology, blending life sciences with computational approaches.
  • Career-Ready Skill Development: Focused on employability, the programme prepares students for roles in bioinformatics, computational biology, drug discovery, data analysis, and healthcare analytics.
  • Global Research & Higher Studies Opportunities: Graduates can pursue M.Sc., M.Tech., PG Diploma, Integrated PhD, or competitive exams in India and abroad, including top institutions such as IISc, IITs, EMBL, NIH, Max Planck, the Broad Institute, and the Wellcome Sanger Institute.
  • Internships & Industry Exposure: Mandatory internships in biotech firms, pharma companies, research labs, clinical genomics centres, and AI–biology startups provide real-world experience.
  • Advanced Computational Skills:  Master software and tools such as Python, R, BLAST, Clustal, MEGA, PyMOL, AutoDock, GROMACS, Desmond (Schrödinger), cheminformatics tools, DFT simulations, Excel analytics, and data visualisation platforms.

Career Enhancement Programs

Graduates of B.Sc Computational Biology can work across life sciences, healthcare, pharma, data science, and biotechnology sectors. Key roles include:

Core Career Paths

  • Bioinformatics Analyst
  • Computational Biologist
  • Molecular Modelling / Drug Discovery Associate
  • Genomics & Proteomics Data Analyst
  • Structural Bioinformatics Scientist
  • Scientific Programmer (Python / R)
  • Cheminformatics Scientist
  • Laboratory Bioinformatics Technician
  • Data Analyst (Life Sciences)
  • Medical / Clinical Research Associate
  • Systems Biology Assistant
  • Biostatistician / Data Scientist (Life Science Domain)

FAQ's

What is B.Sc Computational Biology?

B.Sc Computational Biology is an interdisciplinary undergraduate programme that integrates biology, chemistry, computer science, statistics, and AI. The course equips students with the skills to analyse biological data, model molecular structures, study genomics and proteomics, and develop computational solutions for life sciences research. Students can choose a major in Computational Biology and a minor in Data Science, Computer Science, or Chemistry, along with hands-on lab training and industry-oriented certifications.

Is B.Sc Computational Biology a good field?

Yes, Computational Biology is an up-and-coming and future-focused field. With the rise of AI, big data, precision medicine, and biotechnology, graduates are in demand across research labs, pharma companies, healthcare analytics, genomics firms, and AI–biology startups. The programme prepares students for global career opportunities, higher studies, and interdisciplinary research, making it an excellent choice for those passionate about life sciences and technology.

What is the difference between Bioinformatics and Computational Biology?

While the terms are related, they differ slightly in focus:

  • Bioinformatics: Primarily deals with data analysis, storage, and interpretation of biological data, such as DNA sequences, protein structures, and genomics datasets. It often involves using software tools and databases.
  • Computational Biology: Goes beyond data handling to include mathematical modelling, simulation, algorithm development, and prediction of biological processes. It combines theoretical biology with computational methods to answer complex biological questions.
In short, bioinformatics is a subset of computational biology that provides a broader, more research-focused perspective on the use of computational methods in the life sciences.