Bachelor of Science (B.Sc)

Computational Biology

Program code: 003A
Course code : 3A10
Course Commencement : July 2023

The minimum qualification required to apply is a pass in the 10+2 examination in Science from PUC/ISC/CBSE or an equivalent board with Biology as one of the core subject along with Physics/Chemistry, /Maths/Computer Science.

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

The programme is an integration of Molecular Biology, Mathematics, Computer Science, Information Technology, Physics and Genetic Engineering to be utilised in biomedical research and developmental activities. Computational Biology is an interdisciplinary field that analyses biological data and develops new software using computational tools.

This emerging branch of sciences is widely applied in the examination of genomics, proteomics, metabolomics, nutrigenomics, 3D structure modelling of proteins, image analysis and drug designing. The programme provides robust skills on computer programming that leverage algorithms, software’s and databases on learning artificial intelligence and data mining techniques.

Course Highlights
  • Caters to the growing demand for scientists who have cross-disciplinary expertise.
  • Delivers a platform to unlock the genetic detailing of various diseases using biological tools.
  • Provides various strategies and algorithms to predict new drug targets.
  • Aims to provide biological and medical information to allow for individualised healthcare.
  • Employs machine learning and deep learning techniques for genomic testing and mutation studies.
  • Identifying the basis for disease resistant and stress tolerance in plants.
I Semester
  • Basics of Biology
  • Fundamentals of Chemistry
  • Mathematics I – Basic Mathematics and Combinotorics
II Semester
  • Computational applications in Biology
  • Cell Chemistry
  • Python programming
III Semester
  • Metabolism & Enzymology
  • Medicinal Chemistry
  • Data computation & Biostatistics
IV Semester
  • Molecular Biology
  • Structural Bioinformatics
  • Database Management
V Semester
  • Advanced topics in Computational Biology
  • Computational Chemistry/ Green Chemistry
  • Computational Physics/Biophysics
VI Semester
  • Molecular Modelling and Drug Designing-I
  • Big Data Analytics/Machine Learning in Bioinformatics
  • Nanotechnology/ Biodiversity
VII Semester
  • Molecular Phylogenetics
  • Functional Genomics
VIII Semester
  • Research Methodology
  • Rationale design of drug

Career enhancement programmes are formulated as per current industry standards and reflect on our commitment to build a unique workforce, which will meet the challenges in the industry. Evaluation is based on internal assessment, seminars, assignments, practical and theory examination and reports prepared by the students.

To keep them at the forefront of employability, the career enhancement programme prepares students with the necessary soft skills such as communication, presentation, and public speaking skills, personality development, and interview techniques.

The graduates in B.Sc. Computational Biology are in high demand from a broad range of employers, with varying career options, such as

 Key job roles:

  • Bioinformatics ‘C’ Programmer
  • Computational Biologist
  • Techno-Commercial Executive/Technical Executive
  • Pharmacovigilance
  • Clinical Data Management
  • Clinical research
  • Molecular modelling
  • Genomic scientist
  • Drug Designing
  • System Biology analyst
  • Drug discovery specialist
  • Data base developer
  • Insilico regulatory support
  • Functional genomic scientist
  • Big data analyst