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Programs

Master of Science - Bioinformatics

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Overview

An interdisciplinary program integrating biology, computing, statistics, and AI for biological data analysis. Students learn genomics, proteomics, systems biology, molecular modeling, and AI/ML

For life sciences, with strong training in Python/R, databases, pipelines, and HPC. Graduates are prepared for roles in research, healthcare, biotech, pharma, or advanced doctoral studies.

Eligibility Criteria

Bachelor’s in relevant Life  Sciences/CS/Math/Physics/Agriculture/Pharmacology/BMLT, 50%+ (SC/ST: 5% relaxation)

Academic Fee

  • 1st Year : INR.1,27,000/-
  • 2nd Year : INR.1,28,000/-

Scholarship

For B Tech Students On the basis of PCM percentage

Candidates eligible for scholarship on the basis of Physics, Chemistry & Mathematics percentage at 10+2 level as mentioned below:

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Note: The scholarship amount received in the first year will be applicable for all subsequent years. The student must maintain a minimum CPI of 8.00 to avail the scholarship in the next year of his/her studies.

Top-Tier Companies in Our Placement Network

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GLA

Programs

Master of Science - Bioinformatics
Overview

An interdisciplinary program integrating biology, computing, statistics, and AI for biological data analysis. Students learn genomics, proteomics, systems biology, molecular modeling, and AI/ML

For life sciences, with strong training in Python/R, databases, pipelines, and HPC. Graduates are prepared for roles in research, healthcare, biotech, pharma, or advanced doctoral studies.

Eligibility Criteria

Bachelor’s in relevant Life  Sciences/CS/Math/Physics/Agriculture/Pharmacology/BMLT, 50%+ (SC/ST: 5% relaxation)

Academic Fee

  • 1st Year : INR.1,27,000/-
  • 2nd Year : INR.1,28,000/-
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GLdvantage
Designed to Produce Future-Ready Engineers

At GLA University, we emphasize education beyond classrooms with project-based learning to ensure our students imbibe what the industry requires.

Interdisciplinary Approach to Life Sciences and Computing

Interdisciplinary Approach to Life Sciences and Computing

The M.Sc. Bioinformatics programme brings together biology, computer science, and data analysis to help students understand and interpret complex biological data.

Comprehensive Curriculum in Bioinformatics

Comprehensive Curriculum in Bioinformatics

Students study key areas such as molecular biology, genomics, computational biology, and data analysis, building the skills required to work with biological information systems.

Focus on Data Driven Biological Research

Focus on Data Driven Biological Research

The programme emphasises the use of computational tools and analytical methods to study biological processes and genetic information.

Practical Learning and Analytical Skills

Practical Learning and Analytical Skills

Students gain practical exposure to bioinformatics techniques and computational approaches used in modern biological research.

Preparation for Research and Emerging Scientific Fields

Preparation for Research and Emerging Scientific Fields

The programme prepares students for careers and higher studies in bioinformatics, biotechnology, healthcare research, and related scientific areas.

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Rankings & Accreditations

Career Prospects

Graduates of the M.Sc. Bioinformatics programme can explore opportunities in research, biotechnology, and data driven life science sectors.

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Public Sector

B.Tech ECE graduates in the government sector can pursue careers in PSUs, Defense & Space, Telecom, Research, Railways, and Civil Services, with key

roles like Scientist, Engineer, Technical Officer, JE, often requiring competitive exams like GATE, ESE, or specific PSU tests for roles in R&D, infrastructure, and defense technology.

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Private Sector

B.Tech ECE graduates in the private sector can pursue core electronics roles (VLSI, Embedded Systems, Telecom, RF Engineering, Electronics Design),

IT/Software jobs (Software Developer, AI/ML Engineer, Data Analyst), and emerging tech fields like Robotics and IoT, with top recruiters including major IT firms. Key paths involve Hardware/Software roles, R&D, and Network Engineering, focusing on areas like signal processing, systems, and automation for diverse opportunities in tech giants and startups.

Potential career paths include

  • Biotechnology and Pharmaceutical Industries
  • Bioinformatics and Genomics Research Organisations
  • Healthcare and Biomedical Research Institutions
  • Data Analysis in Life Science Sectors
  • Higher Education and Academic Institutions
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Common job roles include

  • Bioinformatics Analyst
  • Research Associate
  • Computational Biology Specialist
  • Genomics Data Analyst
  • Life Science Educator

Research

Think Beyond Innovation in a Research-Driven Environment

Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.

850+

Patents
Published

14

Research
Centres

12k+

Publications in
SCI & Scopus

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Outcomes & Objectives

Demonstrate a strong understanding of the principles of bioinformatics and computational biology.

Apply computational tools and analytical methods to interpret biological and genomic data.

Analyse biological datasets using scientific and computational approaches.

Develop problem solving skills related to biological information systems and data analysis.

Communicate scientific and analytical findings effectively in written and oral forms.

Work independently and collaboratively in research and analytical environments.

Apply interdisciplinary knowledge of biology and computing to emerging scientific challenges.

Demonstrate readiness for research, higher studies, or professional careers in bioinformatics and related sectors.

Develop graduates with a solid understanding of biological sciences along with computational and analytical techniques used in bioinformatics.

Encourage the ability to analyse biological data and apply computational tools to interpret complex biological information.

Prepare students to pursue advanced research and higher studies in bioinformatics and related life science disciplines.

Promote responsible handling of biological data and ethical awareness in scientific research and technological applications.

Apply computational methods and bioinformatics tools to analyse genomic and biological datasets.

Use concepts from molecular biology, genetics, and computer science to understand biological information systems.

Engage in research oriented activities involving biological data interpretation and computational modelling.

Understand the role of bioinformatics in drug discovery, genomics research, and modern biotechnology applications.

Why M.Sc. Bioinformatics?

The M.Sc. Bioinformatics program is designed to equip students with advanced knowledge of biological data analysis through the integration of life sciences, computer science, and statistical tools. The program focuses on areas such as genomics, proteomics, computational biology, molecular modeling, and database management, enabling students to interpret complex biological information and support scientific research in healthcare, biotechnology, and pharmaceutical sectors.

With increasing demand for data-driven biological research, the program develops analytical, computational, and research skills through practical training, software applications, and project-based learning. Students gain expertise in handling large biological datasets and applying computational methods to solve challenges in genetics, drug discovery, and biomedical research.

M.Sc. Bioinformatics grads acquire the following positions
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Bioinformatics Analyst

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Genomics Data Specialist

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Computational Biology Research Associate

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Clinical Data Analyst

What else can you do while studying at GLA

GLA University offers a wide range of campus extra-curricular activities across all domains.

These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples

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Cultural and Performing Arts

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Library, Debating and Quizzing

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Technical and Professional Clubs

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Sports, Fitness and Adventure Activities

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Apply Now

Master of Science - Bioinformatics Frequently Asked Questions

In other than unusual circumstances, GLA University follows ONE STUDENT ONE JOB policy. If a student found placed in more than one company (unless not placed in one’s core branch) without prior permission.

Admission Process

How to apply to GLA
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Registration

Register online by filling in your basic details on the admission portal.

https://
student.glauniversity.in/
Main/Admission

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Application Fee

Complete your application by paying the online application fee.

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GLA Entrance Test (GLAET)

Appear for the 2-hour online entrance test with multiple-choice questions covering your chosen field, English, and reasoning.

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GLAET Result

Check your result on the portal to know your eligibility for the selected course.

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Pay Token Amount

If you qualify, confirm your seat by paying the token amount.

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Upload Documents

Upload the required documents for verification to complete your admission.

That’s it — your journey with GLA begins here.

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Open for admission year 2026-27
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