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.
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)
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:

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.
Master of Science - Bioinformatics
2 Years
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)
GLdvantage
At GLA University, we emphasize education beyond classrooms with project-based learning to ensure our students imbibe what the industry requires.
Graduates of the M.Sc. Bioinformatics programme can explore opportunities in research, biotechnology, and data driven life science sectors.

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.

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.

Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.
Patents
Published
Research
Centres
Publications in
SCI & Scopus
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.
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.
These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples
Register online by filling in your basic details on the admission portal.
https://
student.glauniversity.in/
Main/Admission
That’s it — your journey with GLA begins here.
Learn more, grow faster, and discover your direction
Open for admission year 2026-27