Department of Bioinformatics – Best Deemed University in Chennai
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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.

Programme Outcomes

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 Outcomes

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 skillsfor
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-7: Environment sustainability: Successful candidates will get adequate knowledge to use
information and implement solutions for environmental protection, safeguards and remediation.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

  Hours/Week   Maximum 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

ProgramEligibilityCriteria for Merit
B.Sc. Bio-computingPass in +2, HSC or equivalent with Biology / Maths
or Pure Science or Computer Science
Merit - Based on percentage of marks secured in the qualifying examination.

Eligibility Criteria

ProgramEligibilityCriteria for Merit
M.Sc. BioInformaticsCandidates for admission to the first year of the degree of Bachelor of Biocomputing shall be
required to pass in +2, HSC or equivalent with Biological Science or computing Science as one
of the subjects along with Maths/Pure Science/Computer Applications/Life Sciences/Medical
Science/Basic Science and Agriculture can be accepted as equivalent thereof by the syndicate of
VISTAS.
Merit - Based on 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 per yearAdministration FeeRegistration fee Misc.
(per sem)
Skill Enhancement Fee
(per year)
Exam Fee
(Per Sem)
At the time of admissionEven SemOdd Sem
32,500 4,9502,9503003000190029,35018,45021,450

Fee Structure

Tuition Fee per yearAdministration FeeRegistration feeMisc.
(per sem)
Skill Enhancement Fee
(per year)
Exam Fee
(Per Sem)
At the time of admissionEven SemOdd Sem
40,0006,8003,3003005000310038,50023,40028,400

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