B.Sc. in Bioinformatics, Statistics, Computer Science (BStCs) ( B.Sc. Bioinformatics)

Bioinformatics has emerged as a powerful interdisciplinary field that merges biology, statistics, and computer science to address some of the most complex challenges in the life sciences. The rapid advancement of high-throughput technologies such as next-generation sequencing, proteomics, and metabolomics has led to an unprecedented generation of biological data. This has created a pressing need for professionals who can process, analyze, and interpret these data using computational and statistical approaches.

The B.Sc. Bioinformatics, Statistics, and Computer Science program offered by the School of Applied Sciences at REVA University is designed to cater to this need. It provides a unique blend of biological sciences with quantitative and computational skills, enabling students to explore diverse domains such as genomics, personalized medicine, drug discovery, molecular modeling, and health informatics. The program is structured to equip students with the ability to apply machine learning, artificial intelligence, and data mining techniques to biological datasets for meaningful discovery.

The curriculum is outcome-based and future-focused, integrating theoretical knowledge with hands-on training in programming, data analysis, and visualization. Students are exposed to industry-standard tools and platforms such as Python, R, Bioconductor, TensorFlow, SQL, and cloud computing environments like AWS and Google Cloud. This hands-on experience ensures that graduates are ready to tackle real-world problems in biomedical research, diagnostics, and healthcare technology. Graduates of this program are prepared for diverse career paths, including roles in biotechnology and pharmaceutical industries, academic research institutions, clinical genomics labs, and healthcare IT companies. They are also well-positioned to pursue advanced studies in computational biology, biomedical informatics, systems biology, and allied disciplines at national and international levels.

The B.Sc. Bioinformatics, Statistics, and Computer Science program at REVA University stands out for its strong academic foundation, industry-aligned curriculum, modern infrastructure, and experienced faculty. With a focus on innovation and experiential learning, the program aims to nurture competent, ethical, and forward-thinking professionals who can lead the future of life sciences in the digital era.

Program Highlights

• Interdisciplinary Learning – The program integrates Bioinformatics, Statistics, and Computer Science for a broad knowledge base.
• Industry-Oriented Curriculum – Designed with industry experts, featuring real-time industrial visits, skill development programs, and hands-on training.
• Advanced Computational & Data Skills – Focus on programming, big data analytics, artificial intelligence, and data mining techniques for bioinformatics applications.
• Research & Innovation Support – Student research projects and support through government grants (KSCST) along with internships.
• Enhanced Career Prospects – MOOC, Swayam, and Coursera courses enhancing employability in bioinformatics and related fields.