BSc in Computational Biology and Bioinformatics (Honours) Syllabus: Download PDF
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BSc in Computational Biology and Bioinformatics (Honours) Syllabus: Download PDF

Irshad AnwarUpdated on 12 Aug 2025, 03:46 PM IST

BSc in Computational Biology and Bioinformatics (Honours) Syllabus and Subject: The BSc in Computational Biology and Bioinformatics (Honours) is a 3 or 4 year undergraduate course that blends biological sciences with computer science and mathematics to facilitate the analysis of biological data. This program is ideal for students interested in computational biology and bioinformatics. It helps students master molecular biology, genetics, programming, data analysis, and bioinformatics algorithms.

This Story also Contains

  1. BSc in Computational Biology and Bioinformatics (Honours) Course Details
  2. BSc in Computational Biology and Bioinformatics (Honours) Subjects
  3. BSc in Computational Biology and Bioinformatics (Honours) Syllabus PDF
  4. Subject-Wise Books for BSc in Computational Biology and Bioinformatics (Honours)
  5. Higher Studies after BSc in Computational Biology and Bioinformatics (Honours)
  6. Future Scope after BSc in Computational Biology and Bioinformatics (Honours)
BSc in Computational Biology and Bioinformatics (Honours) Syllabus: Download PDF
BSc in Computational Biology and Bioinformatics (Honours) Syllabus

Students learn important techniques like genome sequencing, molecular modelling, and database management over the course of three years. Following the completion of their degree, students can pursue research positions and software development in life sciences. They can also pursue higher education, such as a Master's or Integrated Ph.D. in bioinformatics, biotechnology, or computational biology.

BSc in Computational Biology and Bioinformatics (Honours) Course Details

BSc in Computational Biology and Bioinformatics (Honours) integrates biology with bioinformatics to train students to analyse complex biological data. This course is designed for students interested in biology, mathematics, and computer science. It covers subjects such as molecular biology, genetics, programming, data structures, and systems biology. Students also get exposed to practical skills in bioinformatic tools, biological databases, and data analysis techniques.

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The skills learnt in BSc Computational Biology are then widely applied in genomic research and drug development. The course prepares graduates for a variety of careers, including research assistants and healthcare analytics, and it also serves as a solid foundation for further education in related fields.

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ParticularsDetails

Course name

BSc in Computational Biology and Bioinformatics (Honours)

Course level

Undergraduate

Duration

3 years (6 semesters) or 4 years (Hons)

Admission Process

Merit-based or Entrance exams by institutes/universities

Eligibility

10+2 with Biology and Mathematics/Computer Science; minimum 50% aggregate

Top Colleges

IISERs, Amity University, Manipal University, Pondicherry University

BSc in Computational Biology and Bioinformatics (Honours) Subjects

The subjects covered in the B.Sc. in Computational Biology and Bioinformatics (Honours) are a blend of biology, computational theory, and bioinformatics. Students study a wide range of subjects, including molecular biology, genetics, biochemistry, and cell biology, as well as programming, data structures, algorithms, database management, and bioinformatics. This combination of theory and practice prepares them for the workforce. In terms of subject complexity, each semester builds on the previous one, leading to a focus on computational techniques applied to real biological problems.

BSc in Computational Biology and Bioinformatics – Semester 1

  • Language – I

  • English- I

  • Fundamentals of Biological Systems

  • Introduction to Chemistry

  • Introduction to Computer Science

  • Lab in Basic Biology and Chemistry

  • Lab in Computer Science

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BSc in Computational Biology and Bioinformatics – Semester 2

  • Language-II

  • English- II

  • Biomolecules

  • Introduction to Mathematics

  • Introduction to Physics

  • Lab in Biomolecules

  • Lab in Physics

BSc in Computational Biology and Bioinformatics – Semester 3

  • Language – III

  • English – III

  • Introduction to Biological Databases

  • Programming in C

  • Biostatistics

  • Lab in C Programming

  • Lab in Biostatistics

BSc in Computational Biology and Bioinformatics – Semester 4

  • Language – IV

  • English – IV

  • Microbiology and Immunology

  • Bioinformatics Algorithm

  • Introduction to DBMS & Information Technology

  • Lab in Microbiology and Immunology

  • Lab in DBMS

BSc in Computational Biology and Bioinformatics – Semester 5

  • Biological Sequence Analysis

  • Genetics and Evolution

  • Molecular Biology and Genetic Engineering

  • Structural Biology

  • Operating Systems and the Networks

  • Lab in Biological Sequence Analysis

  • Lab in Biotechniques

BSc in Computational Biology and Bioinformatics – Semester 6

  • Genomics & Proteomics

  • Perl Programming

  • Molecular Modeling

  • Biodiversity

  • Web Programming

  • Lab in Molecular Modelling

  • Lab in Web and Perl Programming

BSc in Computational Biology and Bioinformatics (Honours) Syllabus PDF

The B.Sc. in Computational Biology and Bioinformatics (Honours) is semester-based and combines biological sciences, programming, and machine learning. Basic biology, chemistry, and computer science courses are taught in the early semesters. The course then progresses to advanced biology, as well as an introduction to mathematics and computer science. Students learn about programming languages like Python and are introduced to various biological databases. A research project or dissertation in the final semester allows students to apply what they've learnt to real-world problems.

SyllabusPDF

BSc in Computational Biology and Bioinformatics (Honours) Detailed Syllabus

Download Here

Subject-Wise Books for BSc in Computational Biology and Bioinformatics (Honours)

Students pursuing a B.Sc. in computational biology and bioinformatics (Honours) require well-structured reference books. These books help in understanding theory and also offer practical knowledge and case studies, which are required for building problem-solving skills.

SubjectBook TitleAuthorDescription

Bioinformatics

Bioinformatics: Sequence and Genome Analysis

David W. Mount

Guide for sequence alignment, gene prediction, and database use.

Molecular Biology

Molecular Biology of the Gene

James D. Watson

Gives basics about principles of DNA, RNA, and gene regulation.

Biostatistics

Biostatistics: A Foundation for Analysis in the Health Sciences

Wayne W. Daniel

Covers statistical analysis and techniques which are relevant to biological research.

Cell biology

Molecular Biology of the Cell

Bruce Alberts

For building a foundation in cell biology

Genetics

Genetics: Analysis and Principles

Robert J. Brooker

To understand the concepts pf genetics.

Computational biology

Python for Bioinformatics

Sebastian Bassi

Gain knowledge for learning programming in biological data analysis.

Higher Studies after BSc in Computational Biology and Bioinformatics (Honours)

The B.Sc. in Computational Biology and Bioinformatics (Honours) program opens doors to a vast field of opportunities for students. It provides knowledge of biology and how to interpret the data using computational tools. There are various areas of higher education, such as genome annotation, drug discovery, molecular modelling, and big data analytics in biology. Students are motivated to develop problem-solving and analytical skills, which are utilised in biotechnology companies, pharma research, healthcare, and agricultural genomics. Students can also pursue advanced degrees in bioinformatics or computational biology, such as an M.Sc., M.Tech., or integrated Ph.D. They can also pursue their education abroad.

Future Scope after BSc in Computational Biology and Bioinformatics (Honours)

Graduates of the B.Sc. in computational biology and bioinformatics (honours) programme are in high demand due to the growing importance of data analysis in modern biological research. They can work as bioinformaticians, computational biologists, research assistants, and clinical researchers in research labs and hospitals. Emerging fields such as personalised medicine, AI in drug discovery, and agricultural informatics provide excellent career opportunities. There are numerous startups focused on genomics, diagnostics, and medical software.

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