IIT Hyderabad launches new course, BTech in Computational Engineering

Indian Institute of Technology (IIT) Hyderabad recently launched the nation’s first BTech degree in computational engineering. With a BTech in Computational Engineering, graduates will receive interdisciplinary training that will enable them to become experts in cutting-edge numerical methods and algorithms, modelling and simulation of engineering systems and processes, high-performance computing, process control and optimization, data analytics, and machine learning.

The four-year, interdisciplinary undergraduate programme is evenly divided into eight, six-month semesters. Students will get in-depth education in mathematical methods, numerical approaches, the creation of mathematical models, computer simulations, optimization, high-performance computing, data analytics, and machine learning during the first five semesters.

In order to pursue more specialised knowledge in the final three semesters, students will have a selection of electives to choose from. Advanced manufacturing, structural design, process engineering, materials design, chip design, and biomedical engineering are just a few examples of the courses offered as electives.

Admission to the BTech in Computational Engineering programme at IIT Hyderabad is based on IIT-JEE (Joint Entrance Exam), just like it is for all other BTech programmes there. Candidates must have advanced scores and have successfully completed class 12 (or an equivalent) from an accredited state or central board.

With the exception of the BTech 2022 Batch, students who fall under the general, EWS, and OBC categories are required to pay Rs 1 lakh per semester. Students who fall under the SC/ST or PH categories are completely exempted from paying fees. In addition to tuition expenses, there are other costs including welfare funds, hostel, and mess fees. Students who fall under the SC/ST or PH categories are not excluded from these additional fees.

Benefits of a BTech in Computational Engineering include: expertise in numerical algorithms and methods, a strong foundation in scientific computing, system design and simulation, fluency in computing tools and techniques, and Industry 4.0 readiness.