M.Sc. Bioinformatics

M.Sc. Bioinformatics is a postgraduate program that integrates computer science, statistics, and biology to analyse biological data and develop computational tools for biological research and drug discovery.

M.Sc. Bioinformatics is a specialised field of study that involves the use of computational tools and techniques to analyse and interpret biological data, such as DNA sequences, protein structures, and metabolic pathways. The program integrates various disciplines, including computer science, statistics, and biology, to provide students with a broad understanding of the field. During the program, students learn how to develop algorithms and software programs to process and analyse large sets of biological data. They also learn about databases, data mining, machine learning, and statistical methods used in bioinformatics research. Additionally, students may specialise in areas such as genomics, proteomics, structural bioinformatics, and systems biology.

About the curriculum:
The curriculum is divided into four semesters, and each semester focuses on specific topics related to bioinformatics. In early semesters, students learn the basics of bioinformatics, including molecular biology, genetics, and algorithms. They also learn programming languages such as Python, R, and Perl, which are widely used in bioinformatics research. The advanced topics include data structures, database management, and machine learning. In later semesters, students specialise in a specific area of bioinformatics, such as genomics, proteomics, or structural bioinformatics. In that semester they learn about molecular modelling, protein structure prediction, and network analysis. In the final semester, students work on research projects under the guidance of faculty members thus applying the concepts and techniques learned in the program to real-world problems. Lab work is an essential component of the M.Sc. Bioinformatics program. Students work in well-equipped bioinformatics labs to gain hands-on experience in analysing biological data and developing computational tools. They learn to use software tools such as BLAST, Clustal, and HMMER for sequence analysis, and they learn to use databases such as NCBI and PDB for data retrieval. During lab work, students also work on group projects to develop bioinformatics tools for specific applications. For example, they may develop tools to predict protein-protein interactions, analyse gene expression data, or identify disease-related mutations in genomic data. 

Enquire Now

    Launch your career with our M.Sc. Bioinformatics program. Experienced faculty, hands-on learning, and industry connections.

    Course Information

    Admission Procedure

    Merit of the qualifying exam

    Provisional Admission

    Seats to be allocated based on projected scores.


    Students having a bachelor’s Degree in Life Sciences, Environmental Sciences. Physical Sciences, Agricultural Sciences, Computer Sciences, Medicine (MBBS) or B.D.S., Pharmacy, Engineering & Technology, Veterinary and Fishery Sciences.

    Important Links

    Fee Structure



    Career Prospects

    Graphic Era Deemed to be University has established valuable partnerships with leading companies in the field of bioinformatics, providing students enrolled in the university’s bioinformatics program with practical industry experience. The university’s placement cell actively connects students with prominent organisations in the bioinformatics sector, resulting in a considerable number of students securing internships and placements in prestigious companies. The university’s primary goal is to provide a comprehensive approach to bioinformatics education, with an emphasis on practical application. To achieve this objective, the university leverages its well-established industry connections by organising site visits, internships, and challenging projects that enable students to apply their knowledge to real-world scenarios. These opportunities equip students with the necessary skills and experience to excel in their future careers in bioinformatics.


    With the explosion of biological data generated by high-throughput technologies, such as next-generation sequencing and microarrays, bioinformatics has become a rapidly growing field with a high demand for skilled professionals. Here are some popular job roles in bioinformatics:  

    • Bioinformatics Analyst 

    • Genomics Data Analyst 

    • Computational Biologist 

    • Bioinformatics Software Engineer 

    • Biostatistician 

    • Systems Biologist 

    • Clinical Bioinformatics Scientist 

    • Transcriptomics Data Analyst 

    • Epigenomics Data Analyst 

    • Metabolomics Data Analyst  

    These job roles may involve analysing large-scale genomics, transcriptomics, proteomics, and metabolomics datasets, developing and implementing computational algorithms and tools, designing and executing experiments, collaborating with experimental biologists and clinicians, and communicating results to stakeholders. 

    Frequently Asked Questions

    What is the reputation of the MSc Bioinformatics program in the job market?

    MSc Bioinformatics programs are highly valued in the job market due to the increasing demand for professionals who can analyze complex biological data. Graduates of MSc Bioinformatics programs are well-equipped to work in a variety of settings such as research institutions, pharmaceutical companies, and biotech firms. Due to the interdisciplinary nature of the field, graduates of MSc Bioinformatics programs have a unique skill set that is highly sought after by employers.

    What can I do after MSC Bioinformatics?

    After completing an MSc Bioinformatics program, there are several career paths available to graduates. Graduates can work in research and development in academic, industrial or government settings. They can also work in biotechnology or pharmaceutical companies, where they can use their skills to develop new drugs. Additionally, graduates can work in data analysis, bioinformatics software development, and bioinformatics consulting.

    Is maths required for MSc bioinformatics?

    Yes, a solid understanding of mathematics is a prerequisite for success in an MSc Bioinformatics program. Students are expected to have a thorough grounding in mathematical concepts such as linear algebra, calculus, and statistics. These mathematical tools are essential for analyzing complex biological data and developing bioinformatics algorithms.

    What kind of skills will I acquire in the program MSc Bioinformatics?

    The MSc Bioinformatics program provides students with a broad range of skills and knowledge in the field of bioinformatics. Students will learn programming languages and become proficient in using bioinformatics tools and software, including databases and analysis pipelines. They will gain expertise in analyzing and interpreting large-scale biological data sets using statistical and machine learning methods, integrating biological knowledge with computational techniques.

    Admissions Open 2024

    The application process at Graphic Era is strictly based on the Merit of the qualifying examination with the entire Admission Process available for completion online