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M.Sc. Bioinformatics


The Vision of Department of Bioinformatics is to provide the best education and training for students to prepare them for professional research careers in biological sciences as well as software industry. The Department plans to produce eminent scientists in the field of Bioinformatics.


To facilitate, conduct and organize research work by teams comprised of core groups leading to inventions and to cooperate to meet this end and also to work acquiring the patents of such inventions. With its strong commitment to education, the department expects its graduates to have acquired solid subject knowledge and laboratory skills in the field of Bioinformatics upon their graduation. In addition, with our innovative curriculum, the graduates are also expected to possess all-round competence in IT technology, information gathering and synthesis, critical thinking, efficient oral and written communication, and teamwork spirit and capability so that their career prospects go beyond the field of life sciences.

Program Educational Objectives (PEO)


PEO-1: Describe the basis of biology, computer science and information technology and develop as a key expertise in applications of bioinformatics.

PEO-2: An extra-ordinary ability to gain practical knowledge and keen in developing a successful career in academia, R&D institutes and industrial sector.

PEO-3: Possess a high-level knowledge in comparing and analyze the best programming language, database and software to implement and support the critical biological challenges.

PEO-4: Promoting the bioinformatics hardcore research and support the experimental scientist in the hypothesis and mechanism related to biology.

PEO-5: Will address the increasing need for skilled computer expert in maintaining and analyze the biological resource and big data and contribute globally.

Programme Outcomes (PO) & Programme Specific Outcome (PSO)


  • PO-1: Life Sciences knowledge: Successful candidates will acquire current/recent specific knowledge in the respective discipline with proficiency in practical skills and leadership skills for a successful career.
  • PO-2: Problem analysis: Successful candidates will be able to analyse, design standards, resolve and troubleshoot problems in implementation or standardization of Life sciences protocols.
  • PO-3: Design/development of solutions: Successful candidates will develop creative and cognitive thinking and cooperate with each other to solve problems in the field of Life sciences.
  • PO-4: Conduct investigations of Practical problems: Successful candidates will acquire capabilities to plan and design protocols and utilize practical skills.
  • PO-5: Conduct investigations of experimental problems: To validate hypothesis by executing experimental techniques independently coupled with the ability to assimilate, analyse, interpret and accurately evaluate subsequent data.
  • PO-6: Modern tool usage: Successful candidates will effectively be able to manage resources and time using ICT and other computer enabled devices.
  • PO-7: Ethics: Successful candidates will be aware of their role and responsibility in handling and use of microbes including genetically modified microorganisms.
  • PO-8: Communication: Successful candidates will have the ability to understand and communicate all ideas and concepts effectively.
  • PO-9: Environment sustainability: Successful candidates will get adequate knowledge to use information and implement solutions for environmental protection, safeguards and remediation.


The M.Sc. programme Bioinformatics at VISTAS has documented measurable outcomes that are based on the needs of the programme’s stakeholders. The programme specific outcomes that the department presently adapts to are as follows:

PSO-1: The syllabus addresses the need to introduce students to new tools and application in bioinformatics.

PSO-2: The PG course helps every candidate to analysis the software for data studies and comparisons and provides tools for modelling, visualizing, exploring and interpreting data.

PSO-3: To access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

PSO-4: The main goal of the Bioinformatics to convert multitude of complex data into useful information and knowledge.

PSO-5: The course is intended to describe not only with the programming languages but it covers the proteomics, genomics, cell and molecular biology, genetic engineering, biochemical pathways etc., relevant to the improvement and development of mankind and industrial application purposes.


Curriculum & Syllabus



Hours/WeekMaximum Marks
Code No.CourseLectureTutorialPracticalCreditsCASEETotal
CORE 1Enzymes And Metabolisms40044060100
CORE 2Computer Programming in C and
CORE 3Introduction To Bioinformatics30244060100
COREPractical 2 – Bio programming in
C and C++
DSE 1Genomics and Transcriptomics40044060100
DSE 2Proteomics: Principles
and Techniques
SECSoft skill 1/Sector skill course20024060100


View full course curriculum

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.Sc Bio-Informatics2 Years (4 Semesters)Degree in Genetics, Biology, Biochemistry, Biotech, Physics, Chemistry, Computer Science, Botany, Zoology, Microbiology, Mathematics, Statistics, Nutrition, Food Service, Management & Diatetics, Agriculture, Bioinformatics, B.E/ B.Tech (Biotech) B.V.Sc, MBBS, BDS, B.Pharm, BPT& BCA, BCA(Hons), B.Sc.(IT) (10+2+3) Pattern.
Merit based on the percentage of marks secured in the qualifying examination

Career Prospects



  • Bioinformatics Research Scientist
  • Bioinformatics Engineer
  • Bioinformatics Analyst
  • Clinical pharmacologist
  • Program Specialist
  • Pharmacogenomics
  • Computational Biologist
  • Bioinformatics Data Scientist
  • Health care Associates
  • Clinical Data Developer

Alumni Testimonials

Faculty of the Department

Sl. No.
Name of the Faculty
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Radha MahendranProfessor and HeadM.Sc., M.Tech., Ph.D.Structural Bioinformatics, Computer Aided Drug Designing, Molecular Genetics and Microbial Informatics20years,2months234080
2Dr.Priya.RAssistant ProfessorM.Sc.,Ph.DBiomedical Science, Structural Bioinformatics, Cheminformatics, Genetics, Nanoinformatics8 years 9 months290700
3Ms.Shanmugavani.SAssistant ProfessorM.Sc.,M.Phil.,(Ph.D)Molecular Biology, NanoTechnology, Genetics, rDNA Technology, Genomics and Proteomics, Programming in BioPython3 years294048
4Dr.Senthil.RAssistant ProfessorM.Sc.,M.Phil.,Ph.DProtein Folding and aggregation , Genomics, Big Data Analysis,16 years 2 months-
5Dr.Kiresee Saghana.P.RAssistant ProfessorM.Sc.,M.Phil.,Ph.DMolecular Modelling, Drug Designing,Genomics and Proteomics, Big Data Analysis, Programming in BioPERL, Biophython, R-Programming,4 years 2 months-

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)