B Sc Bioinformatics 2026 - Colleges, Fees, Eligibility, Syllabus

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HomeCoursesB.Sc Bioinformatics
UG3 Years (6 Semesters)

Bachelor of Science (B.Sc) in Bioinformatics

3 Years (6 Semesters)
B.Sc Bioinformatics is a 3-year UG science course in India that blends biology with computer science to analyse genomic and protein data. It is ideal for students interested in computational biology, biotechnology, and data-driven careers in pharma, healthcare and research.

About B.Sc Bioinformatics

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Content Writer | Updated 17 Mar 2026

B.Sc Bioinformatics is a 3-year undergraduate science programme that combines biology, computer science, mathematics, and statistics to analyse biological data. The course focuses on genomics, proteomics, biological databases, and computational tools used in modern life sciences research. Students learn to interpret DNA/RNA and protein data, build and query databases, and apply algorithms for sequence analysis. It prepares graduates for entry-level roles in biotech, pharma, healthcare analytics, and research labs, as well as higher studies.
B.Sc Bioinformatics is an interdisciplinary undergraduate programme designed to train students in computational approaches to biological problems. The curriculum blends core life-science subjects such as cell biology, genetics, biochemistry and molecular biology with computational foundations like programming, data structures, databases, statistics and basic machine learning. Students learn to work with biological datasets, use tools for sequence alignment, gene prediction, phylogenetics and protein structure analysis, and manage biological databases. Practical learning typically includes laboratory work in molecular biology, hands-on sessions with bioinformatics software (e.g., BLAST, Clustal), and projects involving real datasets from genomics and proteomics. The programme is suitable for students interested in data-driven biology and careers at the interface of life sciences and technology. Graduates can work in bioinformatics services, clinical genomics support, biopharma R&D support, and academic or industrial research, or pursue M.Sc Bioinformatics/Computational Biology, M.Sc Biotechnology, or allied specialisations.
Interdisciplinary curriculum combining biology, computing and statistics
Strong practical exposure to bioinformatics tools, databases and projects
Career pathways in genomics, biotech R&D support, healthcare analytics and higher studies

Eligibility Criteria

1

Educational Qualification

10+2 (or equivalent) with Physics, Chemistry and Biology (PCB) or Physics, Chemistry, Mathematics and Biology (PCMB). Many colleges require a minimum of 50% aggregate (45% for reserved categories as per institute/government norms). Some universities may accept candidates with Mathematics/Computer Science as an additional preferred subject. Admission may be merit-based or through university/central entrance tests depending on the institute.

2

Entrance Exam

CUET UG, BHU UET (where applicable as per university admission policy)

Admission Process

How to Apply

Admission is typically based on Class 12 merit or through university/central entrance tests. Candidates apply via college/university portals, submit academic documents, and attend counselling/seat allocation where applicable. Some institutes may conduct an aptitude test and/or interview for final selection.

Course Syllabus

Semester 16 Subjects
Cell Biology
Biochemistry I
Basic Microbiology
Mathematics for Life Sciences
Introduction to Programming (C/Python)
Communication Skills and Environmental Studies
Semester 26 Subjects
Genetics
Biochemistry II
Molecular Biology I
Statistics and Probability
Data Structures and Problem Solving
Laboratory: Biochemistry and Microbiology
Semester 36 Subjects
Molecular Biology II
Immunology
Database Management Systems
Operating Systems Basics
Bioinformatics I (Biological Databases and Tools)
Laboratory: Molecular Biology Techniques
Semester 46 Subjects
Genomics
Proteomics
Biostatistics and R Programming
Computer Networks and Web Basics
Bioinformatics II (Sequence Analysis and Alignment)
Laboratory: Bioinformatics Tools (BLAST/Clustal)
Semester 56 Subjects
Structural Bioinformatics
Phylogenetics and Evolutionary Bioinformatics
Systems Biology Basics
Data Mining / Introduction to Machine Learning
Biological Data Visualization
Mini Project / Seminar
Semester 66 Subjects
Next-Generation Sequencing (NGS) Data Analysis Basics
Clinical Bioinformatics and Pharmacogenomics (Introductory)
Cheminformatics / Drug Discovery Basics
Research Methodology and Bioethics
Major Project / Dissertation
Internship / Industrial Training (where offered)

Career Options & Jobs

Bioinformatics roles are expanding with increased use of genomics, digital health, and data-led drug discovery across biotech, pharma, and research. Graduates often start in analyst or research support roles, and growth improves significantly with an M.Sc/PG diploma, strong programming skills, and project experience in genomics/NGS or machine learning.

Career Options

Bioinformatics Analyst
Junior Computational Biologist
Genomics Data Analyst (Entry-level)
Clinical Data Associate / Clinical Informatics Assistant
Research Assistant (Life Sciences/Bioinformatics)

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