M.Sc. in Bioinformatics

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M.Sc. in Bioinformatics (2 Years)

Program Overview

MSc (Bioinformatics) Course at Shobhit Deemed University has been designed to provide individuals with a platform to explore, analyse and interpret contemporary biological data. This course offers Masters level instruction in Bioinformatics with a focus on genomic bioinformatics. Bioinformatics Programme focuses on the key skills for the analyses of omics data including genomics data from next generation sequencing technologies. Additional skills around emerging omics including metabolomics and proteomics will also be developed.

This programme has been designed with the needs of academic research, biotechnology and the pharmaceutical and health care industries in mind. We will provide instruction in computational and statistical biosciences and students will foster these additional complementary skills required to enable individuals to work effectively within a multidisciplinary bioinformatics arena.

Programme Educational Objectives (PEOs)


Develop and integrate problem-solving skills, including the ability to develop new algorithms and analysis methods of computational techniques and diversified bioinformatics tools for processing data, including statistical, machine learning and data mining techniques.


Integrate and manage data from different genomic and proteomic research and develop an insight into scientific methodology, advances in bioinformatics research and related ethical issues.


Demonstrate an understanding of biological and computer science concepts of current technology trends as well as future directions and recognize the need and develop the necessary skills for continued professional development.

Programme Outcomes (POs)

PO 1

Science knowledge: Demonstrate of the knowledge of bioinformatics for the solution of complex biological problems to understand the molecular functions of organism.

PO 2

Problem analysis: Bioinformatics can solve some of the biological problems based on the gene identification, protein identification and structure prediction. Drug discovery to predict the exact drug to the disease targets and to produce some solutions on statistical interpretations.

PO 3

Conduct investigations of complex problems: Use research-based knowledge including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO 4

Modern tool usage: Bioinformatics always uses advanced tools, software’s, or algorithms and to create advanced algorithms for product/process development which in turn benefit the society and lifelong learning.

PO 5

Environment and sustainability: Understand and implement environmentally friendly approaches in Biopharmaceutical industries to support sustainable development.

PO 6

Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms in Life Sciences.

PO 7

Individual and teamwork: Function effectively as an individual or team work to demonstrate and understand biological problems and manage projects in multidisciplinary and interdisciplinary research.

PO 8

Communication: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations and give and receive clear instructions.

PO 9

Project management and finance: Demonstrate knowledge and understanding of Bioinformatics algorithms and data management principles and apply these to one’s own work, as a member and leader in a team. Manage projects in multidisciplinary environments.

PO 10

Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Specific Outcomes (PSOs)

After successful completion of the programme, the graduates shall be able to


An ability to integrate algorithms and statistical methods to understand biological data and necessary concepts of information technology.


Manage health, medical, and bio-informatics information using best practices in data stewardship; data science and data analytics; and human-centered design and systems.


Learn and utilize scripting languages in genomic data science algorithm development and pipeline design of a wide array of technical research skills.

Eligibility Criteria

  • Admission to M.Sc. Programs is open to a Graduate from a recognized university in Life Sciences/Computer Science (min 60%) & 10+2 (min 60%).
  • PIO/Foreign Nationals: Candidates studying a course approved by Association of Indian Universities (other than CBSE/ICSE/State Board/ Matriculation) as equivalent to 10+2 system of India are eligible to apply. The last two years of such study should include Biology & English. The candidate should obtain an Equivalence Certificate from the Association of Indian Universities, A.I.U. House, 16 Comrade Indrajit Gupta Marg (Kotla Marg ) New Delhi 110002.

Fee Structure

Course Syllabus

Career Opportunities

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 attribute’s 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

Top Indian recruiters in bioinformatics:

  • Strand Life Sciences
  • Genotypic Technologies
  • Med Genome
  • Agri Genome
  • Mapmygenome
  • Nucleome
  • Eurofins
  • Biocon
  • ThermoFisher Scientific
  • Clever gene
  • Genome Life Sciences