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M. Sc. in Bioinformatics is a postgraduate course provided by Amrita Vishwa Vidyapeetham

Attention Please!

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

Admission Procedure 
  • Apply Online
  • Online Entrance Exam
  • Interview
  • Get Provisional Admission
  • Update UG Marks
  • Verification of Marks
  • Confirmation of Admission
  • Accept
  • Pay Fee
  • Or Exit, the seat goes to the next person in the waiting list
Selection Process 

For admissions to postgraduate programs, performance in the following is taken into account.

  • Qualifying Undergraduate Examination
  • Entrance Examination
  • Interview

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.

Exam Details
  • Entrance Examination Date: 12th June 2024
  • Examination Mode: Online – Remote Proctored Examination (RPE)
  • Examination Time: 10:00 AM to 12:00 PM

Examination Syllabus

Commencement of Application Form: March 11th, 2024


Sl.No Course Code Course Name Credits
1 BIF410 Introduction to Bioinformatics 3
2 BIF413 Programming Concepts 3
3 BIO421 Cell Biology 3
4 BIO425 Molecular Biology for Bioinformatics 3
5 BIO410 Energy and Interaction in
Biological Modeling
6 BIF402 Database Design and Implementation for Bioinformatics 3
7 BIF487 Programming for Bioinformatics -Lab 1
8 BIF486 Bioinformatics Tools-Lab 1
9 BIF488 Database Design for Bioinformatics -Lab 1
10 SSD401 Cultural Education 1
11 SSD401 Soft Skills 1
Total Credits 23
Sl.No Course Code Course Name Credits
1 BIF409 Structural Bioinformatics 4
2 BIF417 Molecular Sequence Analysis 4
3 BIF418 Mathematics for Bioinformatics 4
4 BIF419 Statistical Methods for Bioinformatics 3
5 BIF415 Machine Learning and Data Mining 3
6 BIO413 Molecular and Cellular Biophysics 2
7 BIF416 Programming Using Perl 3
8 BIO488 Cell and Molecular Biology -Lab 2
9 BIF489 Programming Using Perl -Lab 1
10 AVP401 Amrita Values Programme 1
11 SSD402 Soft Skills – Ii 1
Total Credits 28
Sl.No Course Code Course Name Credits
1 BIO513 Evolution and Comparative Genomics 3
2 BIO518 Mathematical Modeling of Biological Systems 2
3 BIO527 Mass Spectrometry and Proteomics 3
4 BIF519 Advanced Programming for Bioinformatics 4
5 BIF520 Object Oriented Programming Language 4
6 BIF515 Computer-Aided Drug Design and Pharmacoinformatics 3
7 BIF591 Advanced Programming -Lab 1
8 BIF592 Object Oriented Programming-Lab 1
9   Elective I 2
10   Elective Ii 2
11   Open Elective 2
Total Credits 27
Sl.No Course Code Course Name Credits
1 BIF 599 Dissertation/Thesis 10
Total Credits 10
Sl.No Course Code Course Name Credits
1 BIF551 Systems Biology 2
2 BIF561 Computational Neuroscience 2
3 BIF562 Neurobiology and Electrophysiology 2
4 BIF563 Next Generation Sequence Analysis 2
5 BIF564 Metagenomics & Microbiome 2
6 BIF565 Bioinformatics & Bigdata 2
7 BIF566 Career Development & Business 2

Program Overview

Program Outcomes (POs)
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.
Program Specific Outcomes (PSOs)
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.

Fee Structure

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 2024 ₹60,000 ₹5000
December 2024 ₹60,000
June 2025 ₹60,000
December 2025 ₹60,000
Total ₹2,40,000

Hostel and Mess Fee 2023

Hostel Fees Annual INR 24,000/-
Mess Fees Annual INR 43,000/-
Caution Deposit  One Time INR 5,000/-
Subject to Change *

Facilities at a glance

  • Central Library
  • Hostel Accomodation
  • Sports Facilites
  • Banking Facilities
  • Transport
  • Medical Services
  • Canteen
  • General Store
  • ICTS
  • Reprographic Facility
Facilities video

The excellent placement record of the School stands testimony to our laudable standards of excellence. The School offers undergraduate and post-graduate studies in Biotechnology.


Gayathri Ravindran
B.Sc. Microbiology (2011-2014), M.Sc. Microbiology (2014 -2016), Trainee Executive – Regulatory Affairs, Pfizer Limited

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.

Sathyaa S
M.Sc. Bioinformatics (2008-2010), Post Doctoral Fellow, University of Pavia, Italy

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.

Nitya Nandkishore
M.Sc. Biotechnology, (2011-2013), CSIR Junior Research Fellow at in Stem/NCBS (Institute for Stem Cell Biology and Regenerative Medicine), Bangalore

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.

Sonu Sahadevan
B.Sc. Microbiology (2006-2009), M.Sc. Biotechnology (2009-2011), PhD scholar, Institute of Molecular Life Sciences, University of Zurich

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.

Why Amrita

The top reasons to choose Amrita for your career


World University Rankings 2020


BRICS Rankings 2020


World University Rankings 2020


BRICS University Rankings 2020


India University Rankings 2023


Overall Rankings 2023
7th Best
University in India
Amrita Ranked No.1 in India Top 100 in The World
‘A++’ Grade
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