M.Sc. Agriculture Bioinformatics
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Duration

2 Years
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Eligibility

B.Sc. Bioinformatics, Biotechnology, Microbiology, Chemistry, Botany, Zoology, B.Sc. IT, BCA, life science, agriculture with minimum 55%
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Fees

Total –INR only

Admission Open 2024-25 | M.Sc. Agriculture- Bioinformatics

About the M.Sc. Agriculture- Bioinformatics

The MSc (Bioinformatics) program at Usha Martin University is designed to satisfy the human resource requirements of current and future biotech enterprises, biotech research organizations, and academic institutions. This bioinformatics master’s degree connects genomics, computing, and healthcare, and it seeks to teach individual subject experts to analyse, interpret, and use biological data to inform and improve health outcomes. The curriculum commences with training in programming, data science and elementary bioinformatics tools aimed at using existing software to collect, analyses and interpret DNA and protein sequence information and moves on to more open challenges. The Programme also provide sufficient skills and training on entrepreneurship development opportunities in Bioinformatics. The Programme deals with courses on Genomic data science, Programming in R and Python, Biostatistical Analysis, Omics Technologies, Systems Biology, Big Data Analytics, Cloud computing, data mining and artificial intelligence, deep learning, and many other related courses.

Programme Overview

Programme Educational Objectives (PEO)

The PEOs for the graduating students of M.Sc. in Bioinformatics program will be able to

  • PEO1: Pursue advanced education and research in Bioinformatics to lifelong learning.
  • PEO2: Flourish in their trained professional career in industry and academics globally.
  • PEO3: Inculcate spirit of work, constructive thinking, professionalism, enhancing entrepreneurship skills and ethical behavior.
Programme Specific Outcomes (PSOs)
  • PSO 1:  Gain theoretical knowledge of Biomolecules, Cell Biology and Molecular Biology along with the application of Programming concepts, DBMS and Machine learning to understand complex biological systems.
  • PSO 2: Evaluate data annotation using modelling and simulation techniques in data stewardship, data science and data analytics in the life science domain.
  • PSO 3: Identify, formulate, review, and analyze biological data like Sequence, Structure, Expression and pathway data using principles of Mathematical modelling, Biophysics, Drug designing, comparative genomics and systems biology.
  • PSO 4: Create, select, and apply appropriate biological databases and biological tools in analysing, predicting, modelling, and simulating complex biological systems with an understanding of the limitations.
  • PSO  5: Establish the culture of independent learning, innovative research and productive teamwork.
Scope of employment

With an emerging focus on biotechnology and the need for products to have a greater societal impact, this program will equip students with the knowledge, skills, experience, and personal attributes to successfully translate biotechnology ideas into new commercial ventures. Skills in these areas are highly sought after by employers due to the unique attributes graduates will gain. Job profile includes

  • Genomic Data Scientist
  • Data Analyst
  • Bioinformatician
  • Bioprogrammer
  • Computational Biologist
  • Software developer
  • Bioinformatics Research Scientist
  • Programmer for Database
  • Pharmacogenomist
  • Entrepreneurs
  • Agrigenomics
Eligibility Criteria

Eligibility: B.Sc. Bioinformatics, Biotechnology, Microbiology, Chemistry, Botany, Zoology, B.Sc. IT, BCA, life science, agriculture with minimum 55%

Duration: 2 years

Course contents

Course Code Course Title Credits
Semester I
BINF411 Cell and Molecular Biology 2
BINF412 Bioinformatics Databases 2
BINF413 C, C++ and Data Structures 3
BINF416 Mathematics for Biologist+ 2
BINF417 Fundamentals ofBiology 2
BINF 418

Basics of Computer

 2
BINF 419 Introduction to Bioinformatics* 2
BINF451 Lab – Cell and Molecular Biology 1.5
BINF452 Lab – Biological Databases 1.5
BINF453 Lab – Programming in C/ C++ 1.5
Total Credits 19.5
Semester II
BINF421 Genomics and Proteomics 2
BINF422 Bioinformatics: Sequence Analysis 2
BINF423 Programming in Java 2
BINF424 Database Management System 2
BINF425 Fundamentals of Algorithms 2
BINF426 Biostatistics 2
BINF427 R language and BIG DATA 2
BINF456 Lab – Programming in Java 1.5
BINF457 Lab – Programming in DBMS 1.5
BINF458 Lab – Bio sequence Analysis 1.5
Total Credits 18.5
Semester III
BINF511 Structural Biology 2
BINF512 Molecular Modeling and Drug Design 2
BINF513 Programming in Perl 2
BINF514 Systems Biology 2
BINF515 Data Mining and Machine Learning 2
BINF516 Research Methodology 2
BINF517 Bioethics and Intellectual Property Rights 2
Elective Course*** 2
BINF551 Lab – Structural Biology 1.5
BINF552 Lab – Molecular Modeling and Drug Design 1.5
BINF553 Lab – Programming in Perl 1.5
BINF 591 Mini Project 2
Total Credits 22
Semester IV
BINF592 Project 20
Total Credits 20
Overall Credits 83
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