Bioinformatics is an interdisciplinary field. It merges biology, computer science and information technology and is defined as an interface between the biosciences and the computational sciences. Arising out of the high demands for the need for information analysis, Bioinformatics is emerging very fast and the study of management in biology and biotechnology will help in dealing with the subject matter. Bioinformatics combines the tools and techniques of subjects like mathematics, computer science and biology to understand the biological significance of any data. A few of the main areas of bioinformatics are data mining, analysis of genome projects, and computer databases for biological research.
| Category | Details |
|---|---|
| Duration | 2 Years |
| Eligibility | Graduation in any stream of Life Science with minimum 50% |
| Selection Procedure | Merit + Personal Interview (PI) |
| Scholarship | As per University norms |
Industry Internship Programme
As per M.Sc. curriculum, students are required to undergo a six-month industry/ research internship programme, based on which they can submit the dissertation.
Pedagogy
Classroom (both greenboard and ICT based) teaching, experiential learning, online teaching, interactive sessions, guest lectures, seminars and conferences.
Programme Structure
01 Semester
- Fundamentals of Biology (For non-biology students)
- Computers and Advanced Programming in C++
- Immunoinformatics and Biochemical Techniques
- Bioinformatics and Genome Analysis
- Molecular Biology and Genetic Engineering
Practicals & Sessionals
- Computers and Advanced Programming in C++
- Immunoinformatics and Biochemical Techniques
- Bioinformatics and Genome Analysis
- Molecular Biology and Genetic Engineering
02 Semester
- Computer Aided Drug Designing (CADD)
- Computational Biology
- System Biology
- Data Structure Algorithm
- Java Programming and Data mining
Practicals & Sessionals
- Computer Aided Drug Designing (CADD)
- Computational Biology
- System Biology
- Data Structure Algorithm
- Java Programming and Data mining
03 Semester
- Functional and Comparative Genomics
- Metabolomics and Proteomics
- Gene Expression and Microarray Analysis
- Molecular Structure Prediction and Visualization
- PERL and My SQL in Bioinformatics
Practicals & Sessionals
- Functional and Comparative Genomics
- Gene Expression and Microarray Analysis
- Molecular Structure Prediction and Visualization
- PERL and My SQL in Bioinformatics
04 Semester
- Project Report presentation and defense
- Pharmacogenomics / Visual Basic and Web enabling Technology
