BSc in Computational Biology

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

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

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.

Certifications Offered:

AI, Molecular Modelling and drug discovery in collaboration with Insilicomics Ooty

Eligibility

A student who has passed Level 4 / Class 12 schooling (either through formal schooling or through the open school system) or its equivalent shall be eligible for admission to B.Sc. programmes.

However, students who have not studied requisite courses from Science discipline related to the respective programmes will have to undertake the prescribed bridge
course(s).

Duration: 4 Years (8 Semesters)

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

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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 - 560 027
P +91 80 4343 0100

Admissions Office

JAIN Knowledge Campus
#44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 560 069
P : +91 73378 80218
P : +91 98440 73343

Curriculum Structure

Basics of Biology
Basics of Biology Lab
Physiology and Diversity of Biological System
Physiology and Diversity of Biological System Lab
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
Open Elective
Languages I
- Kannada I
- Hindi I
- Sanskrit I
- Additional English I
Mind Management and Human Values I
Transdisciplinary Project Centric Learning 1

Computer Applications in Biology
Computer Applications in Biology Lab
Cell Chemistry
Cell Chemistry Lab
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
Open Elective
Language II
- Kannada II
- Hindi II
- Sanskrit II
- Additional English II
Mind Management and Human Values II
Transdisciplinary Project Centric Learning II

Python Programming
Python Programming Lab
Minor DSC: DS / CS / Chemistry
Minor DSC Lab: DS / CS / Chemistry
Elective Group / Minor: DS / CS / Chemistry
Elective Group / Minor Lab: DS / CS / Chemistry
Elective Group: Biomolecular Physics / Computational Biophysics
Biomolecular Physics / Computational Biophysics Lab
English I
Indian Constitution
Transdisciplinary Project Centric Learning III

Research Methodology
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
DSE Elective Group
- Medicinal Chemistry / Topics in Pharmacology
- Medicinal Chemistry Lab / Topics in Pharmacology Lab
- Immunoinformatics / Medical Informatics
English II
Environmental Studies (EVS)
Transdisciplinary Project Centric Learning IV

Tools and Techniques in Computational Biology
Tools and Techniques in Computational Biology Lab
Minor: DS / CS / Chemistry
Elective Group
- Structural Bioinformatics / Translational Bioinformatics
- Structural Bioinformatics Lab / Translational Bioinformatics Lab
- Genomics and Proteomics / Multiomics Technology
- Genomics and Proteomics Lab / Multiomics Technology Lab
Project
Internship
Transdisciplinary Project Centric Learning V

R for Biologists
R for Biologists Lab
Minor: DS / CS / Chemistry
Elective Group
- Rational Design of Drug / Drug Discovery and IPR
- Rational Design of Drug Lab / Drug Discovery and IPR Lab
- Data Mining and Machine Learning in Biology / Machine Learning for Health Informatics
- Data Mining and Machine Learning Lab / Machine Learning for Health Informatics Lab
Project
Transdisciplinary Project Centric Learning VI

Honours

Database Management Systems
Database Management Systems Lab
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
DSE Elective Group
- Calculus and Linear Algebra / Discrete Mathematics
- Medical and Population Genomics / Cancer Genomics
- Medical and Population Genomics Lab / Cancer Genomics Lab
Open Elective
Project

Honours with Research

Database Management Systems
Database Management Systems Lab
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
DSE Elective Group
- Calculus and Linear Algebra / Discrete Mathematics
- Medical and Population Genomics / Cancer Genomics
- Medical and Population Genomics Lab / Cancer Genomics Lab
Open Elective
Project

Honours

Network Biology and Visualization
Network Biology and Visualization Lab
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
DSE Elective Group
- Biomolecular Simulations / Molecular Modelling and Simulations
- Biomolecular Simulations Lab / Molecular Modelling and Simulations Lab
- Next Generation Sequencing / Systems Biology
Project

Honours with Research

Network Biology and Visualisation
Network Biology and Visualisation Lab
Minor: DS / CS / Chemistry
Minor Lab: DS / CS / Chemistry
DSE Elective Group
- Biomolecular Simulations / Molecular Modelling and Simulations
- Biomolecular Simulations Lab / Molecular Modelling and Simulations Lab
- Next Generation Sequencing / Systems Biology
Project

Note: Each semester includes Discipline Specific Cores, Discipline Specific Electives, Ability Enhancement Courses, Skill Enhancement Courses, General Elective, Value-Addition Courses and Minor courses with theory and laboratory components (where applicable), structured as per regulations.

Credit Distribution

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.

AI & Molecular Modelling Training (Drug design, virtual screening) – Insilicomics
Advanced Bioinformatics Tools (BLAST, Clustal, MEGA, PyMOL, AutoDock, GROMACS)
Programming for Biological Data (Python, R, data analysis, ML for biology)
Scientific Writing & Research Communication Workshops
Genomics & Multi-Omics Data Analysis (NGS, proteomics, metabolomics)
Research Accelerator Programme (Mini-projects in computational biology & bioinformatics)
Industry–Academia Internships (Biotech, pharma, computational biology startups)
Expert Lectures from IISc, CSIR Labs, IITs, NCBS, DRDO
National & International Conference Participation Support
Structural Bioinformatics & Drug Design Workshops (Protein modelling, molecular simulations)
Wet Lab Skills (PCR, DNA sequencing, microbial culture, enzyme technology)
Biological Data Science & AI Workshops (Precision medicine analytics, biological databases)
Placement Preparation & Career Training (Soft skills, mock interviews, GATE, CSIR-NET, DBT-BET)

Career Outcomes

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 makes this B.Sc Computational Biology programme unique?

It integrates biology, chemistry, computer science, AI, statistics, and drug discovery, with industry-oriented certifications from Insilicomics.

Is this programme suitable for students without coding knowledge?

Yes. Coding begins from the basics: Python, Excel analytics, and data computation, and gradually advances to bioinformatics algorithms and machine learning.

Will I get hands-on training?

Absolutely. Every semester includes laboratory practicals, software training, modelling exercises, sequence analysis, and computational tools.

What certifications will I receive?

A specialised certification in AI, Molecular Modelling, and Drug Discovery (in collaboration with Insilicomics), along with Python and analytics skills.

Can I pursue research immediately after this degree?

Yes. The programme builds strong research skills through projects, capstone work, computational labs, and algorithm development.

Does the course include wet lab work as well?

Yes. Basics of biology, cell chemistry, and biochemistry are supported with lab sessions, while later semesters focus on computational tools.

Are internships mandatory?

Yes. Students undertake internships in biotechnology companies, research laboratories, pharmaceutical organisations, and computational biology startups.

Will this degree be accepted internationally?

Yes. Computational Biology is globally in demand, and graduates secure MS or PhD admissions in top universities worldwide.

What kind of software/tools will I learn?

Python, R
BLAST, Clustal, MEGA
PyMOL, AutoDock, GROMACS, Desmond (Schrödinger)
Cheminformatics tools, DFT tools
Excel analytics
Data visualisation tools

What careers can I pursue after graduation?

Bioinformatics analyst, drug discovery associate, data scientist, genomics analyst, clinical research assistant, computational chemist, scientific programmer, and more.