One elective course (E1) can be chosen from any one of the following:
- Faculty
Faculty of Life and Allied Health Sciences
- Department
Department of Biotechnology
- Campus
Gnanagangothri Campus
- Engagement Mode
Full Time
Overview
The M.Sc. Computational Biology and Bioinformatics program is a two-year program with a strong integration of bioinformatics, programming, statistics, and computational biology to solve complex biological problems.The courses offered provide training in High-Throughput Omics Analysis including hands-on learning in next- generation sequencing (NGS), metagenomics, comparative genomics, and systems biology. Students learn Advanced Al & Machine Learning in Biology by specialized coursework in machine learning, algorithms, modelling, and database development for biological data.
The program offers Research and Publication Experience through Group project and full- semester dissertation with manuscript preparation, preparing students for research careers and PhD programs.
Program Objectives
The M.Sc. Computational Biology and Bioinformatics program aims to equip students with knowledge and practical skills in genomics, proteomics, systems biology, data analytics, and computational Modelling. The program prepares graduates to address challenges in biotechnology, healthcare, drug discovery, and precision medicine through data-driven research and innovation, while providing a strong foundation for careers in academia, research organizations, and the biotechnology and pharmaceutical industries.
Curriculum Details
| S. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | BIC501A | Introduction to Bioinformatics | 2 | 1 | 3 | 100 | |
| 2 | BIC502A | Introduction to Programming | 2 | 1 | 3 | 100 | |
| 3 | BIC503A | Biomolecular Structure and Dynamics | 3 | 3 | 100 | ||
| 4 | BIC504A | Biostatistics and Data Analysis | 2 | 1 | 3 | 100 | |
| 5 | BIC505A | Mathematics and Computational Thinking in Biology | 1 | 1 | 2 | 50 | |
| 6 | BIL501A | Practical I: Biomolecular Structure and Dynamics Laboratory | 6 | 3 | 100 | ||
| 7 | BIL502A | Practical II: Introduction to Programming Laboratory | 6 | 3 | 100 | ||
| Total | 10 | 4 | 12 | 20 | 650 | ||
| Total number of contact hours per week | 26 Hours | ||||||
| S. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | BIC506A | Next-Generation Sequencing Analyses and Metagenomics | 2 | 1 | 3 | 100 | |
| 2 | BIC507A | Advanced Modelling, Algorithms and Computations | 2 | 1 | 3 | 100 | |
| 3 | BIC508A | Database Development and Management | 2 | 1 | 3 | 100 | |
| 4 | BIC509A | Molecular Biology and Human Genetics | 3 | 3 | 100 | ||
| 5 | BTD518A | Research Methodology, Ethics, Biosafety | 2 | 2 | 50 | ||
| 6 | BIL503A | Practical III: Molecular Biology and Human Genetics Laboratory | 6 | 3 | 100 | ||
| 7 | BIL504A | Practical IV: Advanced Modelling and Sequencing Laboratory | 6 | 3 | 100 | ||
| Total | 11 | 3 | 12 | 20 | 650 | ||
| Total number of contact hours per week | 26 Hours | ||||||
| S. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | BIC601A | Systems Biology and Comparative Genomics | 2 | 1 | 3 | 100 | |
| 2 | BIC602A | Machine Learning in Biological Sciences | 2 | 1 | 3 | 100 | |
| 3 | BIE6XXA | Discipline Specific Electives | 2 | 1 | 3 | 100 | |
| 4 | BTM601A | Introduction to Management, Entrepreneurship and IPR | 1 | 1 | 2 | 50 | |
| 5 | BIL601A | Practical V: Systems Biology and Comparative Genomics Laboratory | 6 | 3 | 100 | ||
| 6 | BIP601A | Group Project | 12 | 6 | 100 | ||
| Total | 7 | 4 | 18 | 20 | 550 | ||
| Total number of contact hours per week | 29 Hours | ||||||
| S. No. | Code | Course Title | Theory (h/W/S) | Tutorials (h/W/S) | Practical (h/W/S) | Total Credits | Max. Marks |
|---|---|---|---|---|---|---|---|
| 1 | BIP602A | Dissertation and Publication | 40 | 20 | 300 | ||
| TOTAL CREDITS (4 Semesters) | 80 | 2150 | |||||
Elective Course
| Course Code | Elective Courses |
|---|---|
| BIE601A | Immunoinformatics |
| BIE602A | Computational Oncology |
| BIE603A | Plant Systems Biology and Functional Genomics |
| BIE604A | Microbial Genomics and Bioinformatics |
Dissertation and Publication
Students, under the guidance of the faculty research mentor will choose a research problem for the Dissertation work. After the work is completed, student will compile the work as a dissertation thesis. Students will also learn another form of academic writing by preparing a manuscript for publication either from the research work done by the student or a review on a chosen topic.
Eligibility Criteria
Candidates must hold Bachelor’s degree in any of the following fields:
- LifeSciences (Biotechnology/Bioinformatics/Biochemistry/Microbiology/Genetics/Food Technology/Botany/Zoology/ and related fields). Must have studied Mathematics as one of the courses in 10+2
- Physical/Mathematical sciences (Physics/Chemistry/Mathematics/Statistics). Must have studied Biology as one of the courses in 10+2
- Professional UG degree: B.E. / B.Tech. (Biotechnology/Bioinformatics / Computer Sciences and allied branches/Information Technology/Data Science/Biomedical Engineering, MBBS/BDS/B.Pharm/ B.Agri.
Candidates must have minimum 55% marks or CGPA equivalent aggregate from a recognized university.
Fee Structure
Fee Structure 2026–27
| Course | Fee |
|---|---|
| M.Sc. | 164,000 |
Intake
30 Seats
Career Path
- Ph.D., Research Assistantships, and Junior Research Fellowships (JRFs) at premier research institutions, universities, and national laboratories.
- Career opportunities in pharmaceutical, diagnostics, and life science multinational corporations, including Technical Specialist and Scientific Support roles in biotechnology, genomics, academia, research organizations, biotechnology companies, and healthcare sectors.
- Bioinformatics Scientist, Computational Biologist, and Research Associate positions requiring expertise in computing and algorithm design, including scientific software development, cloud computing, high-performance computing, and advanced computational research.
- Software Development and Computational Biology careers for students with strong programming skills, focusing on systems biology, genomics, and biomedical data analysis.
- Data Analytics and Data Science positions in healthcare, biotechnology, pharmaceuticals, clinical research, genomics, and precision medicine.
- Drug Discovery and Computational Drug Design roles involving molecular modeling, virtual screening, cheminformatics, and structure-based drug development.
- Clinical Research and Clinical Data Management careers in pharmaceutical companies, Contract Research Organizations (CROs), and clinical trial management organizations.
FAQs
No. Basic programming concepts are taught as part of the curriculum. However, familiarity with computers and logical thinking will be beneficial.
Yes. Graduates can pursue Ph.D. programs in Computational Biology, Bioinformatics, Systems Biology, Genomics, Data Science, Artificial Intelligence, Biotechnology, and related fields.
While Biotechnology focuses primarily on experimental and laboratory techniques, Computational Biology and Bioinformatics emphasizes computational analysis, data science, modeling, and interpretation of biological data generated from modern high-throughput technologies.
The program provides interdisciplinary training at the interface of biology and data science, preparing graduates for rapidly growing careers in biotechnology, healthcare, pharmaceuticals, artificial intelligence, and biomedical research while providing a strong foundation for higher studies and innovation-driven careers.
Contact
Start your journey with MSRUAS
Faculty Contacts
-
Dr. Debasish Kar
Phone: 9800231255
Email: debasish.bt.ls@msruas.ac.in
-
Dr. K Prashanthi
Phone: 9900130316
-
Dr. Shruti Mathur (HoD)
Phone: 9166844606
Email: hod.bt.ls@msruas.ac.in
MS Ramaiah University of Applied Sciences
Heritage Building, Gnana Gangothri Campus,
New BEL Road, MSR Nagar, Bengaluru – 560054
Admissions Contact
Phone: 080 4536 6616
Mobile: +91 80100 04444
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