Frequently Asked Questions
Frequently Asked Questions
Plaksha’s BTech in Biological Systems Engineering (BSE) is designed as an interdisciplinary engineering program at the intersection of biology, computing, materials and engineering. Coursework blends life sciences with computational thinking, sensor systems, materials engineering and applied AI, so graduates are equipped to build biological engineering systems and diagnostic technologies.
Yes. CRISPR, genetic engineering and biosensors are part of the Biological Systems Engineering curriculum. The major covers Genetics and Genetic Engineering as a core course, along with the elective Nucleic Acids and Protein Biosensors, and hands-on molecular biology techniques including molecular cloning, plasmid purification, mutagenesis, PCR, qPCR, gel electrophoresis and DNA sequencing in the accompanying laboratory course.
Yes. Biomedical devices and diagnostics are central themes in the BSE major. It includes coursework in Material Science for Bioengineering, which covers biomedical implants and vascular stents, while Sensing and Actuation covers sensor technologies for biomedical instrumentation. Dedicated electives in Diagnostic Technologies and Nucleic Acids and Protein Biosensors deepen this focus, preparing students for careers in medical devices, diagnostics and health technology.
Graduates of the BSE major are equipped to work on a wide range of applications, including diagnostic technologies for diseases such as diabetes and inherited metabolic disorders, drug design, biomedical implants and vascular stents, fermented food products, wastewater treatment using immobilized microbial cultures, nutraceutical production from microalgae in photobioreactors and green energy applications including artificial photosynthesis for hydrogen generation.
Graduates can step into roles across biomedical devices and diagnostics, biotechnology and pharma, bioinformatics and computational biology, sustainable food and bioprocess engineering, agri-food and clean energy startups and applied AI in life sciences. The interdisciplinary curriculum also opens up higher education pathways in bioengineering, computational biology and biomedical research.
