M.Sc. in Bioinformatics ( M.Sc. BI)

MSc (Bioinformatics) Course at REVA University has been designed to meet the human resources needs of existing and futuristic biotech industries, biotech research organizations and academic institutions. This bioinformatics master bridges the interfaces between genomics, computing and healthcare and aims to equip you with the skills to analyse, interpret and use biological data to inform and improve healthcare and health outcomes. 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, analyse and interpret DNA and protein sequence information and move on to more open challenges. Afterwards students follow Molecular Systems Biology. The Programme also provide sufficient skills and training on entrepreneurship development in Bioinformatics. The Programme deals with courses on Genomic data science, Programming in R and Python, Biostatistical Analysis, Omics Technologies, Systems Biology, Big Data Analytics, Cloud computing, data mining and artificial intelligence, deep learning, and many other related courses.

Program highlights

• Industry-Oriented Curriculum – Designed with a strong focus on technological applications, offering elective choices to align with industry and research needs.
• Skill development program – Skill development programs in collaboration with Bionivid Technology Private Limited, Mediomix Diagnosis and Bioresearch Private Limited, Leucine Rich Bio Pvt Ltd. etc.,
• Project-Based Learning – Paid internships at reputed industries Strand Life Sciences Pvt Ltd, Biocon Biologicals, 4BaseCare, BaseSolve, Avesthagen Limited, Biokart, Eurofins, Mediomix, Leucine Rich Bio, etc.,) and research organizations.
• Global Exposure and collaboration – Student exchange programs in collaboration with foreign universities and guidance from international faculty and industry experts.

Core Modules

• Advanced Genomic Data Analysis
• R and Biostatistics
• Python for Bioinformatics
• NGS & Data Analytics
• AI in Computational Drug Discovery
• AI & Deep Learning Applications
• Health Informatics
• DevOps for Bioinformatics
• Full-Stack Web Based Tool Development
• Metagenomics
• Cloud Computing for Bioinformatics