With its glorious tradition of commitment to education, MMV successfully continues to take on the challenges posed by the fast changing national and global scenario. A 4 - Semester, interdisciplinary Masters programme in Bioinformatics has been established at MMV with UGC support under innovative programmes.
Women candidates who have passed 10+2 with Science and Bachelor's degree under 10+2+3 pattern in Science / Engineering/Technology/ Agriculture/ Medicine/ Veterinary Science/ Pharmaceutics with atleast 50% marks in the aggregate from recognized university are eligible for admission to M.Sc. course in Bioinformatics. The selection is through all India entrance examination. The course is of two years duration and is to be completed in FOUR semesters. 90 credits will qualify a student for the M.Sc. Bioinformatics degree.
Curriculum
The first batch of 18 girl students has been admitted through All India Entrance Test during 2005-06 session. Besides the theory papers covered under the following titles, laboratory exercises, seminars and comprehensive viva form part of the academic curriculum.
Outline of courses in different semesters and complete syllabus
|
Semester 1 |
Theory | Credits |
MBIF 101: Introduction to Programming Languages and Programming Through C | 4 |
MBIF 102: Cell Biology and Genetics | 4 |
MBIF 103: Essential Mathematics and Statistics I | 4 |
MBIF 104: Introduction to Bioinformatics | 4 |
Practical |
1. Based on MBIF 101 & 103 | 3 |
2. Based on MBIF 102 & 104 | 3 |
Semester 2 |
Theory |
MBIF 201: Data Structures and Algorithms | 4 |
MBIF 202 Microbiology and Biotechnology | 4 |
MBIF 203: Essential Mathematics and Statistics II | 4 |
MBIF 204: Basic Biochemistry and Immunology | 4 |
MBIF 205: Comprehensive Viva based on MBIF 101 to 204 | 1 |
Practical |
1. Based on MBIF 201 & 203 | 3 |
2. Based on MBIF 202 & 204 | 3 |
Semester 3 |
Theory |
MBIF 301: DBMS with reference to Biological Data | 4 |
MBIF 302: Biodiversity and Ecological Informatics | 4 |
MBIF 303: Genoinformatics | 4 |
MBIF 304: Prediction of Protein Structure and Modeling | 4 |
Practical |
1. Based on MBIF 301& 302 | 3 |
2. Based on MBIF 303 & 304 | 3 |
Semester 4 |
Theory |
MBIF 401: Tools and Techniques (One of the electives given below*) | 4 |
MBIF 402: Applications of Bioinformatics | 3 |
MBIF 403: Molecular Biology Techniques | 4 |
MBIF 404: Seminar | 1 |
MBIF 405: Comprehensive Viva based on MBIF 301 to 403 | 1 |
MBIF 406: Project Work | 6 |
Practical |
Based on MBIF 401 to 403 | 4 |
* Electives |
|
MBIF 401 A Simulation and Modeling for Biologists |
|
MBIF 401 B Soft Computing Techniques |
|
MBIF 401 C Biophysics: Experimental Techniques |