MSc Bioinformatics, a two-year postgraduate program, merges biology, computer science, and data analysis. Suitable for those passionate about mastering the intricacies of biological data, the course provides the skills to analyse complex datasets, develop innovative computational tools, and drive breakthroughs in genomics, proteomics, and systems biology.
The MSc Bioinformatics program typically covers areas like computational biology, bioinformatics tools and databases, programming languages and data science, laboratory techniques, biological concepts, etc. After completing an MSc in Bioinformatics, you can explore various advanced degree options, such as PhD in Bioinformatics, MD-PhD, MBA in the healthcare sector, and so on.
Graduating with an MSc in Bioinformatics opens a wide range of opportunities for students interested in the intersection of biology and computer science, such as bioinformatics scientists, data scientists, computational biologists, research associates, bioinformatics consultants, teachers, etc.
The MSc Bioinformatics program at Amrita Vishwa Vidyapeetham is backed by expert faculties, best-in-class facilities, including laboratories, an updated curriculum, extensive research facilities and opportunities, industry connections, career support, and more.
Don’t miss out on this opportunity to advance your career. Apply now to Amrita Vishwa Vidyapeetham’s MSc Bioinformatics and experience a transformative journey.
Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.
– Issued In Public Interest By Directorate Of Admissions And Academic Outreach
Graduation in any discipline of science including Mathematics, Engineering or Medicine. Background in Mathematics or Computer Science is preferred.
The basic eligibility criteria are minimum 60% aggregate Marks in Qualifying Under Graduate Examination
For admissions to postgraduate programs, performance in the following is taken into account.
Note: Those who are appearing for the qualifying undergraduate examinations in May/June 2023 can also apply and notify us of the results when declared.
| Sl No. | Course code | Course Name | Credits |
| 1 | BIF402 | Data Engineering and Administration | 3 |
| 2 | BIF410 | Introduction to Bioinformatics | 3 |
| 3 | BIF491 | Programming Language Concepts | 3 |
| 4 | BIF492 | Applied Mathematics for Bioinformatics | 3 |
| 5 | BIO425 | Molecular Biology for Bioinformatics | 3 |
| 6 | BIO400 | Cell Biology & Stem Cell Biology | 3 |
| 7 | BIO404 | Ethics in Research & Intellectual Property Rights | 1 |
| 8 | CUL401 | Cultural Education | 1 |
| 9 | SSD401 | Soft Skills | 1 |
| 10 | BIF486 | Bioinformatics Tools – Lab | 1 |
| 11 | BIF487 | Programming for Bioinformatics – Lab | 1 |
| 12 | BIF492 | Data Engineering and Administration – Lab | 1 |
| Sl No. | Course code | Course Name | Credits |
| 1 | AVP401 | Amrita Value Programme | 1 |
| 2 | BIF401 | Energy and Interaction in Biological Modeling | 3 |
| 3 | BIF409 | Structural Bioinformatics | 3 |
| 4 | BIF417 | Molecular Sequence Analysis | 2 |
| 5 | BIF420 | Python for Bioinformatics | 3 |
| 6 | BIO421 | R for Bioinformatics | 2 |
| 7 | BIF422 | Biological Data Science and Machine Learning | 3 |
| 8 | BIF423 | Basics of Biology – Lab | 1 |
| 9 | BIF424 | Python for Bioinformatics – Lab | 1 |
| 10 | BIF425 | R for Bioinformatics – Lab | 1 |
| 11 | BIF497 | Biostatistics and Research Methodology | 2 |
| 12 | SSD402 | Soft Skill II | 2 |
| 13 | BIO406 | Chemistry of Biomolecules | 3 |
|
Sl No. |
Course code |
Course Name |
Credits |
|
1 |
22BIF501 |
Bioinformatics of High Throughput Analyses |
3 |
|
2 |
22BIF502 |
Web Progamming using Object Oriented Languages |
3 |
|
3 |
22BIF503 |
Bioinformatics of High Throughput Analyses – Lab |
1 |
|
4 |
22BIF504 |
Web Progamming using Object Oriented Languages – Lab |
1 |
|
5 |
BIF513 |
Evolution and Comparative Genomics |
3 |
|
6 |
BIF515 |
Computer Aided Drug Design & Pharmacoinformatics |
3 |
|
7 |
BIF518 |
Mathematical Modeling of Biological Systems |
2 |
|
8 |
BIF551 |
Systems Biology |
2 |
|
9 |
BIF561 |
Computational Neuroscience |
3 |
|
10 |
BIF563 |
Next-Generation Sequencing Analysis |
3 |
|
11 |
BIO527 |
Mass Spectrometry & Proteomics |
3 |
| Sl No. | Course code | Course Name | Credits |
| 1 | BIF 599 | Dissertation/Thesis | 10 |
| 1 | 15OEL641 | Glimpses of Life through literature | 2 |
| 2 | 15OEL648 | Object Oriented Programming (Python) | 2 |
| 3 | 16OEL664 | Bhagavad-Gita & Personality Development | 2 |
| 4 | BIO527 | Mass Spectrometry & Proteomics | 3 |
| 5 | BIF561 | Computational Neuroscience | 3 |
| 16 | BIO464 | Cancer Biology | 3 |
| Sl No. | Course Name | Credits |
| 1 | Metagenomics And Microbiome | 3 |
| 2 | Neurobiology and Electrophysiology | 3 |
| 3 | Computational Neuroscience | 3 |
| 5 | Molecular & Cellular Biophysics | 3 |
| 6 | Bioinformatics And Bigdata | 3 |
| 7 | Mass Spectrometry & Proteomics | 3 |
| 8 | Immunological Bioinformatics | 3 |
| 9 | Clinical Data Management | 3 |
| PO1 | Scientific Knowledge and Training: Gain and apply knowledge of basic and applied scientific, analytical and computational fundamentals, leading to a deeper understanding of Biological Sciences. |
| PO2 | Computational Skills and Data Analytics: Evaluate scientific information using best practices in data stewardship, data science and data analytics. |
| PO3 | Problem analysis: Identify, formulate, review, and analyze biological problems to derive conclusions using principles of basic sciences, mathematics and computer sciences. |
| PO4 | State-of-the-art tools: Create, select, and apply appropriate techniques, resources, and tools including prediction and modelling of complex biological systems with an understanding of the limitations. |
| PO5 | Scientific Communication: Communicate scientific content effectively with peers, educators, science community, and with society at large. |
| PO6 | Ethics and Values: Observe and practice ethical principles and commit to professional ethics and responsibilities and norms of scientific practice. |
| PO7 | Individual and teamwork: Think critically and work independently, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO8 | Science for society: Apply reasoning through the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional scientific practice. |
| PO9 | Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of scientific and technological changes for up-to-date research and teaching methods. |
| PSO1 | Gain theoretical knowledge of Biomolecules, Cell Biology and Molecular Biology along with the application of Programming concepts, DBMS and Machine learning to understand complex biological systems. |
| PSO2 | Evaluate data annotation using modelling and simulation techniques in data stewardship, data science and data analytics in the life science domain. |
| PSO3 | Identify, formulate, review, and analyze biological data like Sequence, Structure, Expression and pathway data using principles of Mathematical modelling, Biophysics, Drug designing, comparative genomics and systems biology |
| PSO4 | Create, select, and apply appropriate biological databases and biological tools in analysing, predicting, modelling, and simulating complex biological systems with an understanding of the limitations. |
| PSO5 | Establish the culture of independent learning, innovative research and productive teamwork. |
Question Paper Pattern
Fees mentioned above are current. The University reserves the right to revise the same at any time without notice. Tuition Fee includes fee for uniform. The fee for uniform stitching needs to be paid as a separate charge. Caution deposits are refundable at the completion of the program, provided no damages are incurred.
| Payment Time | Tuition Fees | Caution Deposit |
|---|---|---|
| June 2025 | ₹60,000 | ₹5000 |
| December 2025 | ₹60,000 | |
| June 2026 | ₹60,000 | |
| December 2026 | ₹60,000 | |
| Total | ₹2,40,000 |
| Hostel Fees | Annual | INR 24,000/- |
| Mess Fees | Annual | INR 43,000/- |
| Caution Deposit | One Time | INR 5,000/- |
| Subject to Change * | ||
I feel extremely proud to say that I have completed my graduation and Post-graduation in Microbiology from a prestigious institution like Amrita School of Biotechnology. The 5 years spent here were splendid and has helped me grow personally and professionally. The relationship between the faculty and the students is very cordial and has paved way for a great learning experience. I am ever grateful to all the faculty, staff and my batch mates for giving me a wonderful campus life.
Amrita School of Biotechnology is one of the best experiences I have ever had. The knowledge that I gained at ASBT was the “start up” for my research career. Bioinformatics program at ASBT provides a good framework that helps to improve the theoretical biology and to develop the programming skill set. Highly qualified faculty members helps to create a good research ambiguity for students. I thoroughly enjoyed the ABST Bioinformatics experience and will cherish not only the knowledge I gained but also the friendship that I made.
My experience at Amrita School of Biotechnology (ASBT) was very memorable. The subjects offered are unique and advanced, the classes are interactive and innovative teaching methods are employed facilitating a better training. The faculty members are not only highly qualified experts in their field, but are also extremely approachable. Personally, the time I spent at ASBT and my interactions with the faculty helped me discover my enthusiasm for science and gave direction to my career.
My life at Amrita has been an exceptionally fine educational experience. I believe that having studied at Amrita School of Biotechnology has been a logical extension of my academic pursuit and has opened doors for me to higher circles. We have an excellent group of mentors who are truly inspirational and extremely supportive. The curriculum, and moreover the faculty-student discussions provide a very stimulating environment for learning, and this in turn has helped the students in developing a keen scientific temperament. I am extremely glad for being a part of this wonderful Amrita family.
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