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B.Sc. Bio-computing


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: An ability to develop the practical knowledge related to Life science, Computer science and information technology in an interdisciplinary manner for providing innovative ideas to solve the biological problems and promote the research globally.

PEO-2: The extraordinary skills to analyze the scientific big data, create a novel objective, implement methodology to derive a key finding and apply this knowledge for welfare of society. Students should be able to develop as computational expert and follow the ethical rules on areas related to Life sciences and Bioinformatics.

PEO-3: Develop as a resource person with interdisciplinary knowledge who can finish the advance tasks related to biology and computer science in a challenging scientific environment.

PEO-4: Update knowledge on programming and database development on biological data and information and help the scientific research community.

PEO-5: U.G. program and its knowledge give confidence to the students and shine in the booming bioinformatics careers related to academics, research and development and industry.

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


PO-1: Graduates will be able to develop, analyse, solve and troubleshoot biological problems in implementation of bioinformatics protocols and Information technology for the successful career.

PO-2: Environment sustainability and Ethics: Graduates will get adequate knowledge to use information and implement the evolving technology in Bioinformatics to find the solutions for environmental protection and remediation.

PO-3: Modern tool usage and communication: Graduates will effectively be able to manage the scientific task by utilizing the big data resources and retrieve and solve the biological problems effectively.

PO-4: Analysis of biological data: Graduates will be well versed in handling the biological data from the different database available online and the Maintenance of biological data by implementing using computer programming.

PO-5: Graduates will acquire self- reliance in handling Biocomputing techniques and able to interpret, analyze the biological data and execute experimental techniques independently.

Programme Specific Outcome (Pso)

The B.Sc. program (Biocomputing) 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 future graduates are as follows:

PSO-1: The primary goal is to make the students to understand biological concepts.

PSO-2: To acquire knowledge on the basics of computer and the principles of programming languages.

PSO-3: To understand the levels of programming language and its application in various fields of biology.

PSO-4: To obtain the knowledge on basics in designing the webpage for a database as well as online tools and softwares.

PSO-5: To utilize the bioinformatics skill to venture in development of fields like pharmaceutical and biotechnological concerns.

Curriculum & Syllabus


Hours/WeekMaximum Marks
Code No. CourseLectureTutorialPracticalCreditsCASEETotal
LANGTamil I/ Hindi I/ French I30034060100
ENGEnglish I30034060100
CORE1Basic of Computer, Algorithm
and Statistics
CORE2Basic of Bioinformatics31044060100
CORE3Cell Biology and Biomolecules 40044060100
COREBasic Concepts and Algorithm in
Computer -Practical 1
COREBasic concept of Bioinformatics
Practical 2
AECCCommunication Skills10224060100
SECOrientation/Induction programme / Life skills-------


View full course curriculum

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.Sc Bio Computing3 Years (6 Semesters)Pass in +2, or equivalent with Biological Science or Computing Science as one of the subjects along with Maths / Pure Science / Biochemistry / Microbiology / Biotechnology / Computer Applications / Commerce with Computer Science / Commerce with Maths and + Vocational - Agriculture can be accepted as equivalent thereof by the syndicate of VISTAS.Merit based on the percentage of marks secured in the qualifying examination

Career Prospects



  • Software development
  • Bioinformatics Analyst
  • Clinical pharmacologist
  • Program Specialist
  • Computational Biologist
  • Database Designer and Maintenance: 
  • Bioinformatics Data Scientist-
  • Health care Associates
  • Clinical Data Developer
  • Cheminfomatician

Alumni Testimonials

Fee Structure

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

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 months415583
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 months480699