The Department of Biotechnology and Bioinformatics explores well in academic & research activities with a team of dedicated, efficient and well qualified faculty members under the able leadership of the Head of the department. The strength of the department is evident through the patents, research projects and publications with high impact factors of the faculty members and the well-established sophisticated lab facilities for UG, PG and research students. The students are trained to be competent to meet the demands of the job market and also showcase their skills in the emerging areas of life sciences by earning extra credits in specialized courses in the field of biological sciences and other skill oriented courses.

The department further strives to train the young students in technical education and research by imparting biological and computational knowledge through updated curriculum and involve the students in a number of socially relevant extension activities to sensitize the society and introduce radical changes in issues like environmental protection, human health and agricultural upliftment.

The Department of Biotechnology was established in the year 2002, further it expanded by introducing various programmes due to the increase in demand ratio and was upgraded as a research department in 2012.

The department encompasses a team of highly-efficient and well-qualified teaching faculty with good experience in teaching and research. The research expertise among the faculty members is distinct and diverse. The quality and reputation of the faculty members are reflected in their publication of research papers and books, projects undertaken and patents registered. In addition, they share their expertise in different capacities.

This programme prepares the students for higher education at prestigious national institutes and for suitable jobs in the world job market. Students will acquire comprehensive knowledge of the core and cross disciplinary domains of Biotechnology as the curriculum comprises updated theory and practical courses. The technical abilities needed for employment in the field of Biotechnology and Health care sectors will be offered through this programme.

This programme is designed to provide opportunities in research and enterprise domains. The students would acquire in-depth knowledge and understanding in various fields of Biotechnology. They would develop the ability to think critically, design research creatively and communicate effectively to present their research findings. The technical, experimental skills in Tissue Culture and Digital Competency are embedded with regular teaching and learning for the progression of students in research and placement opportunities in reputed sectors.

The Master of Science in Bioinformatics (Integrated) is an interdisciplinary five year programme that combines the application of computer technology and analysis of biological data. The programme was specifically designed to develop skills in computer programming, data analysis, and problem solving. Students would acquire knowledge in technology competency and creativity to handle biological information related to Genomics, Proteomics, molecular biology using various softwares to provide meaningful and innovative outcomes for industrial, research oriented and socially relevant problems.

Graduates can apply for Full-time and Part-time Ph.D. programme.The students would be enabled to apply their knowledge in their chosen domain and create new knowledge through problem solving skill, technology competency and excellent communication skills to publish original research articles in the reputed journals and file their findings as Intellectual Property.

Postgraduate diploma in Bioinformatics (PGDBI) and Diploma in Bioanalytical Techniques(DBAT) were initiated in 2006 and are offered to Biology students to upgrade and apply their knowledge for the cross disciplinary applications to provide innovative outcomes.

• Antimicrobials and phytomedicine
• Biodiversity conservation and plant tissue regeneration
• Bioenergy and Bioremediation
• Cancer Biology
• Computer Aided Drug designing
• Computational Biology and Algorithms
• Mental simulation and neuroscience
• Nano biomedicine
• Plant Metabolic Engineering
• Protein engineering and biomarker prediction
• Redox Biology