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Department of Bioinformatics

About the Department

VISTAS is well known for its Academic Excellence and other Infrastructure facilities. In the year 2009 M.Sc. Bioinformatics was started followed by M.Phil.& PhD Bioinformatics. Later in the year 2013, B.Sc. Biocomputing was started. The Department of Bioinformatics comes under School of Life Science. The department has the well-equipped lab consisting of latest IBM machines loaded which complete Bioinformatics Workbench are coupled with high speed Broad band connections, enabling effective use of biological software for research purposes. This programme develops the computational and analytical understanding necessary as a platform for processing biological data. The course also demonstrates applications and worked examples in the fields of Bioinformatics and System Biology, integrating with student involvement through project work. Job prospects are available in all sectors of Biotechnology, Pharmaceutical, Biomedical-Science Industries, Hospitals and IT- Companies. Employment prospects are excellent and appear to be relatively independent of economic conditions.

Vision & Mission

Vision

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.

Mission

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.

List of Courses

  • Ph.D
  • M. Phil 
  • M.Sc Bioinformatics
  • B.Sc Biocomputing

Features of the department

Well-equipped state-of-the-art laboratory with Air-conditioned computer lab & with latest IBM machines loaded which complete bioinformatics workbench coupled with high speed Broad band internet connection, enabling effective use of biological software for research purposes.

Objective/Thrust Area of the programs

Bioinformatics is the science of developing computer databases and algorithms for the purpose of speeding up and enhancing biological research. The Department of Bioinformatics was started to facilitate teaching and research in the interdisciplinary areas of Structural Bioinformatics and Computational Genomics, and to create an intellectual environment for interdisciplinary education and training. The Department is comprised of well experienced faculty members with research interests and expertise in Structural Biology, Molecular Modeling, Computer Aided Drug Design, Pharmacogenomics, Cheminformatics, Molecular Biology, Genetic Engineering, Genomics, Proteomics, Bio-computing, Database & Software development. Moreover, – students can access hundreds of scientific journals on their lab desktop, subscribed by the university, which is essential for project work and subsequent Publication.

Faculty-Student Ratio:  25:1

Entry Requirements

B.Sc Biocomputing: Candidates for admission to the first year of Bachelor of Biocomputing shall be required to be qualifying +2 or equivalent examination with Biology or computer science background other than arts conducted by government of Tamilnadu or an examination accepted as equivalent thereof by the syndicate of VISTAS.

M.Sc. Bioinformatics: Candidates for admission to the first year of Master of Bioinformatics shall be required to hold a Bachelor’s Degree in Science in the disciplines of Genetics, Biochemistry, Biotechnology, Physics, Chemistry, Computer Science, Botany, Zoology, Microbiology, Mathematics, Statistics, Nutrition, Foodservice and Management & Dietetics, Agriculture, B.E./B. Tech (Biotech), B.V.Sc, MBBS, BDS, B. Pharm, BPT &amp, BCA from this University, or an equivalent examination of some other University, accepted by the Syndicate as equivalent thereto and they shall be permitted to appear and qualify for the M.Sc. Bioinformatics Degree examination of this University after a course of two academic years in an affiliated college of this University.

Program Educational Objectives (PEO)

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.

Program Educational Objectives (PEO)

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)

PROGRAM OUTCOME (PO)

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.

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

PROGRAM OUTCOME (PO)

  • 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.

PROGRAMME SPECIFIC OUTCOME (PSO)

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 M.sc 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

CURRICULUM & SYLLABUS

Hours/WeekMaximum Marks
Code No. CourseLectureTutorialPracticalCreditsCASEETotal
SEMESTER1
LANGTamil I/ Hindi I/ French I30034060100
ENGEnglish I30034060100
CORE1Basic of Computer, Algorithm
and Statistics
31044060100
CORE2Basic of Bioinformatics31044060100
CORE3Cell Biology and Biomolecules 40044060100
COREBasic Concepts and Algorithm in
Computer -Practical 1
00424060100
COREBasic concept of Bioinformatics
Practical 2
00424060100
AECCCommunication Skills10224060100
SECOrientation/Induction programme / Life skills-------
Total1721024

 

View full course curriculum

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 90

SEMESTER I
Hours/WeekMaximum Marks
Code No.CourseLectureTutorialPracticalCreditsCASEETotal
CORE 1Enzymes And Metabolisms40044060100
CORE 2Computer Programming in C and
C++
40044060100
CORE 3Introduction To Bioinformatics30244060100
COREPractical 2 – Bio programming in
C and C++
00424060100
DSE 1Genomics and Transcriptomics40044060100
DSE 2Proteomics: Principles
and Techniques
40044060100
SECSoft skill 1/Sector skill course20024060100
Total210624

 

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

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

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

Career Prospects

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

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
15,00013,00028,000

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
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)
20,00020,00040,000

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
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-