Undergraduate Programme

B.Tech. in Mathematics and Computing

Traditional applied mathematics, with an emphasis on classical core engineering areas, rose to prominence in the aftermath of World War II and has since dominated the engineering mathematics curricula. In the past couple of decades, a new kind of applied mathematics, dealing with generation, storage, distribution, and utilization of information, has had a tremendous impact on our lives. These tasks require a high level of computational, mathematical, and data analytic skills. These skills form the core of emerging disciplines such as Artificial Intelligence, Machine Learning, Data Science, Quantum Computing, Computational Biology etc.

Training in these areas is available in courses that are at best scattered and not cohesively organized in traditional B. Tech. programs. Interested students at the undergraduate level must contend with a lack of resources, guidance, and direction. Exposure to these drivers of future technologies is often left to chance. It would thus be of immense value to nurture such skills among undergraduate students through a dedicated course. Individuals trained thus will make a significant impact in both academia and industry.

This new undergraduate program in Mathematics and Computing seeks to enter a niche area with the aim of producing future leaders who will be at the forefront of research, development, and innovation in futuristic disciplines and next generation technologies that require deep use of mathematics, computer science, and data science. The program leverages the unmatched expertise available across the institute in achieving this goal.

The program hopes to attract some of the best young minds across the nation qualifying through the JEE Advanced examination. There is much hunger and demand in the industry for such an offering. Students from this program will be sought after as graduate students across the globe. The location of IISc in Bengaluru, the tech hub of India will be an additional bonus.

The core of the program spread over four semesters includes six courses each in Mathematics and Computing areas apart from courses in the sciences, humanities, and other engineering disciplines. Students can then choose softcore credits from a large pool of courses in Mathematics and Computing areas apart from many exciting electives from across the institute. To help students navigate through the large number of available courses and guide them towards specialization, study tracks have been designed in Mathematics, Artificial Intelligence and Machine Learning, Computational Science, Theoretical Computer Science, Quantum Computing, Signal Processing, Computational Biology and Mathematical Finance. Students can opt for Research/Industry projects in their fourth year. Students can obtain a M.Tech. degree by taking an additional year of course and project credits.

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