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MSc Bioinformatics

Bioinformatics is a new scientific discipline with roots in computer science, statistics and molecular biology. Bioinformaticians apply information technology to store, retrieve and manipulate these data and employ statistical methods capable of analyzing large amounts of biological data to predict gene functions and to demonstrate the relationship between genes and proteins. The MSc programme in Bioinformatics at REVA University provides students with a BSc in Life Sciences or Computer Sciences with skills necessary to manipulate large biological datasets, the ability to analyze these data and the ability to develop new bioinformatics tools.

At REVA University the Bioinformatics programme focuses on the practical application of Bioinformatics. Depending on previous BSc degree, candidates are requested to follow supplementary introduction courses. Students with BSc in Computer Science follow courses in molecular biology and students with BSc in Life Science courses on programming and computer science.
The curriculum commences with training in programming, data science and elementary bioinformatics tools aimed at using existing software to collect, analyze and interpret DNA and protein sequence information and moves on to more open challenges. Afterwards students follow Molecular Systems Biology.
Advanced bioinformatics courses deal with structural and functional genomics, transcriptomics and DNA array technology data, as well as algorithm development and machine learning. Alternatively, students can focus on systems biology.’ The aim of the program is to produce postgraduates with – advanced knowledge and understanding of Bioinformatics tools and softwares; higher order critical, analytical, problem solving and attitudinal skills (transferable) to meet expectations of biotech industry, academics and research institutions or to take up entrepreneurial route.

Course Curriculum

Course Curriculum

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs)

PEO-1: 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
PEO-2: 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
PEO-3: 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)

Program Outcomes (POs)

Program Outcomes (POs)
PO1. Science knowledge: Demonstrate of the knowledge of bioinformatics for the solution of complex biological problems to understand the molecular functions of organism.

PO2. 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.

PO3. 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.

PO4.  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.

PO5. Environment and sustainability: Understand and implement environmentally friendly approaches in Biopharmaceutical industries to support sustainable development.

PO6. Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms in Life Sciences.

PO7. 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.

PO8. 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.

PO9. 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.

PO10. 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.

Program Specific Outcomes (PSOs)
After successful completion of the programme, the graduates shall be able to

PSO1. An ability to integrate algorithms and statistical methods to understand biological data and necessary concepts of information technology.

PSO2. Manage health, medical, and bio-informatics information using best practices in data stewardship; data science and data analytics; and human-centered design and systems.

PSO3. Learn and utilize scripting languages in genomic data science algorithm development and pipeline design of a wide array of technical research skills.

Career Opportunities

Career Opportunities

Bioinformatics is a new fast growing field of research poorly served by traditional curricula in Life Sciences. As the demand has outpaced the supply of bioinformaticians the first job after graduation is often a PhD project at a research institute or at an University in or outside the India. About one third will still be employed as a scientist at an University or research center. Others will choose for a career at research-oriented pharmaceutical, biotechnology, software and data science companies. The scope includes the opportunity for students to pursue their career as 
- Bioinformatician
- Bioinformatics Internship
- Bioinformatics analyst
- Data Curator
- Software developer
- Data scientist 
- Programmer
- PhD Program
- Bioinformatics systems adminstrator
- Bioinformatics Research Fellow
- Bioinformatics Research Assistant
- Bioinformatics Research Associate
- Bioinformatics Scientist (Researcher)
- Bioinformatics Senior (Staff) Scientist
- Bioinformatics Project Manager
- Director (Head) of Bioinformatics

Top Indian recruiters  in bioinformatics:- 
· Strand Life Sciences 
· Genotypic Technologies 
· MedGenome 
· AgriGenome 
· Mapmygenome 
· Nucleome 
· Eurofins 
· Biocon 
· Thermofisher Scientific 
· Clevergene 
· Genome Life Sciences 

Eligibility Criteria

Eligibility Criteria

B.Sc in Life Sciences and Computer Science

How to Apply?


Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore - 560064, Karnataka

+91-90211 90211 080-46966966

Application Fee

MSc Bioinformatics

Indian / SAARC Nationals 1000
NRI Fee 2000
Foreign Nationals 50