B.Sc Biotechnology
Program that combines biology and technology to develop products and solutions for healthcare, agriculture, and industry. It covers genetics, microbiology, biochemistry, and molecular biology.
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Highlights Of The Department

High-level knowledge in various domains of Biotechnology apart from transcribing value-based education.
Highlights - State of Art Laboratories, Hi-tech equipment, including gradient PCR and Nano View Spectroscopy and need-based E-resources.
Add-on course – A 2-year BSS Diploma in Medical Laboratory Technology.
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Scope Of The Course
Drug development, clinical research, and diagnostics.
Genetically modified crops, pest-resistant plants, and sustainable farming.
Waste management, biofuels, and pollution control.
Working in biotech labs, universities, or government institutions.
Developing biotech products and innovations.
Skill Development
Add-on Courses
The Department of Biotechnology offers add-on courses along with UG/PG courses from the academic year 2015-2016 onwards.
BSS Diploma in Medical Laboratory Technology . 2 year
The course is affiliated with Bharat Sevak Samaj Vocational Education, Affiliation No: (TN/7732). Medical laboratory technicians can work in private hospitals, nursing homes, blood banks, and pathology laboratories and can also run a private medical laboratory. In addition to that, if the biotechnology students want to enter the Medical Biotechnology field, this will be an added qualification for them.
Quality Assurance and Quality Control for Biotechnological Products – 30 hrs
course focuses on ensuring the safety, efficacy, and consistency of biotech products. It covers regulatory guidelines, good manufacturing practices (GMP), analytical techniques, and validation processes.
Cell Culture Technologies - 30 hrs
Course focuses on the principles and applications of growing and maintaining cells under controlled conditions.
Advanced Tools in Bioinformatics - 30hrs
Explores computational methods for analyzing biological data. It covers key bioinformatics software, algorithms, and databases used for genomics, proteomics, molecular modeling, and systems biology.
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