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M.Sc BIOINFORMATICS (REGULATION 2011)

Objective/Thrust Area: The Bioinformatics course provides students with theoretical and practical knowledge of methods to analyze and interpret the data generated by modern biology. This involves the appreciation of biochemistry and molecular biology, together with the techniques of IT and computer science that will prepare students for multidisciplinary careers in research. This course develops the computational and analytical understanding necessary as a platform for processing biological data. This course also demonstrates applications and worked examples in the fields of Bioinformatics and System Biology, integrating with student involvement through project work. Job prospectuses are 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. Bioinformatics is a wide-ranging subject and you can put it to use in many ways. Candidates with Master of Science in Bioinformatics, can move straight into the pharmaceuticals or food industry, or become an expert at a biomedical laboratory. Some of the specific career areas that fall within the scope of bioinformatics include, database-designer, clinical pharmacologist, informatics developer, computational chemist, bio-analytics, cheminformatician, biomedical computer scientist, geneticist, biostatistician etc.

PAPER TYPE SUB CODE TITLE OF THE PAPER CREDIT MIN MARK MAX MARK
FIRST YEAR – FIRST SEMESTER
Core-Theory 11CMBI11 Introduction to Bioinformatics 4 50 100
Core-Theory 11CMBI12 Computers and Biostatistics 4 50 100
Core-Theory 11CMBI13 Biophysical chemistry 4 50 100
Ellective-Theory 11EMBI11 Molecular cell Biology and Biochemistry 3 50 100
Core - Practical 11PMBI11 Practical I - Molecular Biology& Biotechnology Lab 3 50 100
Core - Practical 11PMBI12 Practical II - Computer Programming in C++, UNIX & HTML 3 50 100
Ellective-Theory 11SPGE11 Communicative English – I 2 50 100
FIRST YEAR – SECOND SEMESTER
Core-Theory 11CMBI21 Computational Algorithms and sequence Analysis 4 50 100
Core-Theory 11CMBI22 Molecular Biology and Biotechnology 4 50 100
Core-Theory 11CMBI23 Genomics & Proteomics 4 50 100
Core-Theory 11CMBI24 Molecular Biology Databases 4 50 100
Ellective-Theory 11EMBI21 Programming in Visual basic with RDBMS 3 50 100
Ellective-Theory 11SPGE21 Communicative Skill II/Internship 2 50 100
ED course - I 11XMB01 Extra Disciplinary * 2 50 100
Core - Practical 11PMBI21 Practical III - Programming in visual basic with RDBMS 3 50 100
Core - Practical 11PMBI22 Practical IV -Theory & Practice of BIOPERL-CGI & BIOPYTHON 3 50 100
SECOND YEAR – THIRD SEMESTER
Core-Theory 11CMBI31 Structural Bioinformatics 4 50 100
Core-Theory 11CMBI32 Molecular simulations & Drug Designing 4 50 100
Core-Theory 11CMBI33 Systems approaches to biology 4 50 100
Ellective-Theory 11EMBI31 Immunology & Immunoinformatics 4 50 100
Core - Practical 11PMBI31 Practical V - Biological Databanks & Sequence analysis. 3 50 100
Core - Practical 11PMBI32 Practical VI - Computer Aided Drug Designing 3 50 100
ED course - I 11XMBI01 Extra Disciplinary * 2 50 100
SECOND YEAR – FOURTH SEMESTER
Core-Theory 11CMBI41 Clinical Research 4 50 100
Ellective-Theory 11EMBI41 Advanced Network Technologies & Java 4 50 100
Research 11RMBI41 Project & Viva-Voce 10 50 100
Total Credits 90    

* THIS WILL NOT BE INCLUDED IN TOTAL CREDITS

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