B Tech Bioinformatics
B Tech Bioinformatics at Shoolini University is designed on the new-age NEP curriculum that has been launched by the Government of India. This is a four-year full-time undergraduate program divided over eight semesters.
A multidisciplinary course that combines cutting-edge courses of Information Technology and Biological Sciences, it is closely aligned to the industry needs as well. Graduates acquire engineering knowledge for problem analysis, design solutions, investigate complex problems and use modern age tools.
Highlights
Students of applied sciences at Shoolini University regularly receive JRF scholarships. They work closely with the faculty to pursue high-end research, enroll in international exchange programs and prepare for real-life jobs.
- Ideal student and teacher ratio
- Faculty aims at one patent for every student
- Guest lectures from highly acclaimed global experts
- 104+ labs on campus to support research
Career Opportunities
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Key Areas of Research
Recombinant DNA Technology | Genomics and Proteomics | Bioprocess Engineering | Biomedical and Pharmaceutical Technology | Plant Biotechnology | Animal Biotechnology | Yeast Biology | Biosensor Technology | Pharma Biotechnology | Industrial Biotechnology | Food Biotechnology | Immuno-technology | Gene Regulation
Meet The Faculty
The faculty of Bioinformatics at Shoolini University works incessantly towards high-quality research. So far, the department has received Rs 10 crore towards research from government funding agencies such as DBT, DST, ICMR, NMHS, MoFPI and HIMCOSTE. Additionally, faculty members have been awarded a Patent Information Center, a Food Testing Laboratory by ICAR/MoFPI, and a Skill Development Grant by DBT-HIMCOSTE Center for Skill Development.
Placements
Curriculum
The curriculum for B Tech Bioinformatics at Shoolini University covers engineering physics, engineering chemistry, fundamentals of biology, programming using C++, introduction to biochemistry, cell biology and algorithms. Senior classes delve into immunology, structural biology, genetics, statistics, molecular modeling, database management, drug designing, etc.
