IIT Hyderabad introduces three new BTech programmes: Report

IIT Hyderabad has launched three new BTech courses in biotechnology and bioinformatics, computational engineering, and industrial chemistry.

IIT Hyderabad ( Source: Official Website)IIT Hyderabad ( Source: Official Website)

Vagisha Kaushik | October 16, 2021 | 12:46 PM IST

NEW DELHI: The Indian Institute of Technology Hyderabad has introduced three new Btech programmes in biotechnology and bioinformatics, computational engineering, and industrial chemistry to be offered from this academic year, as per an Indian Express report.

The BTech curriculum at IIT Hyderabad offers the opportunity for the students to take courses from all branches, such as mathematics, physics, and chemistry in the first two semesters, the report said.

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Besides the special BTech curriculum of these three programmes, students will get an opportunity to get in-depth knowledge in the subject by undertaking elective courses from any other department and getting a minor in areas of their interest outside their branch such as entrepreneurship, computer science, and others by completing 12 additional credits in that field, the report said.

In the sixth semester, students can choose semester-long projects which offer an opportunity to work and gain experience in biotech, pharma, manufacturing, IT, data analysis, chemistry informatics, the report added.

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According to the report, BS Murty, Director, IIT Hyderabad, said, “These industry-oriented BTechs have been designed to meet the future and current needs of the industry. Students who are interested in pursuing further studies or research after their BTech will have plenty of options to choose from in national and international universities.”

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Further, as per the report, Raja Banerjee, Department of Mechanical & Aerospace Engineering, mentioned the benefits of BTech in computational engineering and said, “Students of computational engineering will receive an interdisciplinary education where they gain expertise in state-of-the-art numerical methods and algorithms, modelling and simulations of engineering systems and processes, high-performance computing, process control, and optimization, data analytics, and machine learning.”

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