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.
4 Years (8 Semesters)
School of Sciences
#44/4, District Fund Road
Jayanagar 9th Block
Bengaluru – 560 069
P: +91 80465 01738 / 4665 0100
176 Credits (As per UGC FYUGP & NCrF)
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).
Additional Certification: B.Sc. Computational Biology with certification in AI, Molecular modelling and drug discovery in collaboration with Insilicomics.
The Career Enhancement Programmes are designed to enhance industry relevance and research readiness in computational biology. The programme offers industry-aligned certifications in bioinformatics, AI-driven drug discovery, and molecular modelling. Students receive hands-on training in Python, R, genomics, proteomics, and data analytics through laboratory and project-based learning. Mandatory internships provide real-world exposure in biotechnology, healthcare, and pharmaceutical sectors. Research methodology and scientific communication training prepare students for higher education and academic pursuits. Career guidance and exam readiness support enable progression to postgraduate studies and competitive examinations.
Graduates of the B.Sc (Honours / Honours with Research) in Computational Biology with Minor in Data Science / Computer Science / Chemistry are well-prepared for many changing job paths, including:
Computational Life Sciences & Biological Modelling
Graduates build and use computational frameworks for interpreting complex biological systems, from genomes and proteomes to cellular networks and ecosystems. They analyse large-scale biological data and design predictive models. Graduates convert biological questions into computable problems, enabling deeper scientific understanding and evidence-based decisions in health, agriculture, and environmental sciences.
Data-Driven & Digital Science Roles
Graduates sit at the intersection of biology and computation. They leverage data science, algorithms, and programming to extract insight from large, variable datasets. Graduates design analytical pipelines, validate models, and share findings with interdisciplinary teams. They contribute to responsible AI, machine learning, and digital tools in life sciences where accuracy, transparency, and reproducibility matter.
Research, Innovation & Advanced Studies
Graduates have strong foundations in research methodology and scientific reasoning. They contribute to academic, industrial, and translational research environments. Graduates frame hypotheses, manage experimental and computational workflows, and practise ethical research. This pathway leads to postgraduate study and research-led careers. Inquiry, critical evaluation, and knowledge creation remain central.
Applied Industry & Translational Science
Graduates operate in applied settings where biological insight meets real-world impact. They collaborate with multidisciplinary teams to support innovation in biotechnology, pharmaceuticals, healthcare analytics, environmental monitoring, and chemical sciences. Their role often involves translating research outputs into scalable applications while ensuring regulatory compliance, data integrity, and societal relevance in technology-driven industries.
Interdisciplinary Policy, Communication & Science Management
Graduates are equipped to interpret and communicate scientific evidence to diverse stakeholders. They contribute to science communication, research coordination, policy advisory, and technology governance. Graduates help bridge scientific discovery, public understanding, and ethical decision-making in data-rich biological fields.
These pathways reflect a programme designed to create adaptable professionals. Graduates can evolve with scientific and technological change and apply computational thinking to biological challenges. They remain responsive to emerging disciplines, societal needs, and lifelong learning opportunities.
Ready to take the next step? Our counsellors are here to provide you with more information about the programme.
Call us +91 73376 13222
Not sure of your choice?
Visit us at the Admissions Office located in Jayanagar 9th Block and meet us.
Access the map here.
This programme combines biology, chemistry, computer science, AI, statistics, and drug discovery, plus industry certifications from Insilicomics.
Yes. Coding starts from basics i.e, Python, Excel analytics, and data computation, then advances to bioinformatics algorithms and machine learning.
Yes. Each semester offers labs, software training, modelling, sequence analysis, and computational tools.
You’ll earn certification in AI, Molecular Modelling & Drug Discovery (with Insilicomics), as well as Python and analytics.
Yes. Research skills are developed through projects, capstone work, computational labs, and algorithm development.
Yes. Early labs cover biology, cell chemistry, and biochemistry; later semesters focus on computational tools.
Yes. Internships are completed at biotech firms, research labs, pharma companies, and computational biology startups.
Yes. Computational Biology is in high demand globally, and graduates secure admissions to MS/PhD programs at top universities worldwide.
Careers include Bioinformatics Analyst, Drug Discovery Associate, Data Scientist, Genomics Analyst, Clinical Research Assistant, Computational Chemist, Scientific Programmer, and more.
