School of
Mathematics and Computer Sciences
Explore our research areas that blends mathematics as well as statistical ideas and methods developed over the last century with AIML algorithms.
The School of Mathematics and Computer Sciences leads cutting-edge research and education in pure and applied mathematics, theoretical computer science, artificial intelligence, and data science, building strong foundations for the digital and computational frontiers of the future. The school aims to cultivate highly skilled researchers with strong analytical and quantitative capabilities essential for modern science and technology in the areas of Cryptology, Translational Mathematics, and Artificial Intelligence and Machine Learning.
Prof. Goutam Mukherjee
Dean
Prof Goutam Mukherjee is the Dean of Mathematics and Computer Sciences and Director of the Institute for Advancing Intelligence (IAI). He previously served as a Professor in the Stat-Math Unit at the Indian Statistical Institute (ISI), Kolkata. He served as the Professor-in-Charge of the Theoretical Statistics and Mathematics Division of ISI, the Dean of Studies of the Indian Statistical Institute, and a member of several others administrative committees. He earned his Ph.D. from the Indian Statistical Institute, Kolkata, in 1992, an M.Sc. in Pure Mathematics from Burdwan University and a B.Sc. (Honours) in Mathematics from Hooghly Mohsin College. He stood first in first class in both B. Sc. and M. Sc. Examinations.
His research interests span algebraic topology, transformation groups, algebraic deformation theory, and the theory of Lie groupoids and Lie algebroids. He has published more than 45 research papers in national and international journals. Prof. Mukherjee has guided several Ph.D. scholars in areas ranging from Algebraic Deformation theory of non-associative algebras, Equivariant Cohomolgy, Nambu structures and Lie-Filippov Algebroid to Equivariant Deformation theory, contributing to the development of the next generation of mathematical researchers.
Programmes @ School of Mathematics and Computer Sciences
In alignment with the University’s reverse trajectory model of building research and academic excellence through advanced doctoral and postgraduate offerings, the School of Mathematics and Computer Sciences commenced with research-intensive Ph.D. programmes across Cryptology, Artificial Intelligence, and Translational Mathematics. These will be complemented by two specialised master’s programmes August 2026.
Ph.D. Programme
The PhD programmes at the School of Mathematics and Computer Sciences are designed to advance multi-disciplinary, fundamental and translational research across the below research areas
Cryptology and Post-Quantum Cryptology
PhD programme in Cryptology and Post-Quantum Cryptology combines theoretical knowledge…
Artificial Intelligence and Machine Learning
PhD programme in Artificial Intelligence and Machine Intelligence is structured to give PhD candidates a deep…
Translation Research in Mathematics
PhD programme in Translational Research in Mathematics is structured to provide a deep understanding of…
Upcoming M.Sc. Programmes
The school plans to offer two-year master’s courses beginning August 2026 in the below research areas
M.Sc. in Artificial Intelligence
It is a forward-thinking graduate program required to excel in the rapidly evolving field of artificial intelligence (AI).
M.Sc. in Cryptology and Cybersecurity
It is advanced knowledge and skills required to excel in the rapidly evolving field of translational aspects of Cryptology.
Skill Development Programmes
The School of Mathematics and Computer Science is committed to advancing capability and innovation in the digital era through well-crafted Skill Development Programmes. As emerging technologies continue to redefine industries and accelerate transformation, these programmes provide professionals with the opportunity to continually upskill. Designed with strong industry alignment, they blend cutting-edge expertise, hands-on exposure to tools, and real-world case applications—empowering learners to enhance productivity, elevate delivery excellence, and make data-driven decisions with confidence.
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Research Areas
The school blends mathematical as well as statistical ideas and methods developed over the last century with AIML algorithms – encouraging faculty, researchers, and students to actively explore such possibilities in multiple related areas. Our research has a major focus on: Cryptology and Quantum Cryptology, Adaptive Signal Processing, Algorithms in Artificial Intelligence and Machine Learning, Financial Analytics, Risk Analysis, and Foundation and Translational aspects of Mathematics.
Translational Research in Mathematics (TRIM)
TRIM focuses on both fundamental and applicable aspects of mathematics. One of our major goals is to explore the connections between theoretical results and its applications to real-world problems arising out of industrial and social needs. We also aim to foster excellence in higher mathematical education that is suitable for both academia and industry.
Cryptology
The research area in Cryptography and security focuses on the theoretical as well as the applied aspect of Cryptology and security research, post quantum and quantum cryptology. The long-term objective is to carry out top-notch academic and industrial research in the field of theoretical and applied cryptography and security and to bring out the future generation of leading crypto experts by means of providing rigorous training in the field.
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning research at the school focuses on advancing fundamental, human-centric, and sustainable AI research. The focus is on pursuing cutting-edge work across core areas such as deep learning, optimization, generative models, and responsible AI, while driving impactful applications in areas such as medical image analysis, speech technology, large language models, computer vision and material sciences, AI in healthcare.
Board of Studies
Prof. Goutam Mukherjee
Dean
Prof. Rana Barua
Member
Dr. Arpita Maitra
Member
Dr. Nilanjan Datta
Member
Dr. Sayan Chakraborty
Member
Dr. Avisek Gupta
Member
Prof. Jaya Sil
External Member
Prof. Santanu Sarkar
External Member
Cryptology and Post-Quantum Cryptology
The PhD programme in Cryptology and Post-Quantum Cryptology offers a rigorous curriculum combining theoretical foundations and practical applications. PhD candidates will not only gain theoretical knowledge of Cryptology will also be equipped with the knowledge of post-quantum and quantum cryptography that can resist quantum attacks, and quantum information theory that will be useful when quantum computers become a reality.
Artificial Intelligence and Machine Learning
The PhD programme in Artificial Intelligence and Machine Intelligence offers a rigorous curriculum combining theoretical foundations and practical applications. It is structured to give PhD candidates a deep understanding of core AI concepts, including machine learning, deep learning, natural language processing, generative AI, large language model, computer vision, reinforcement learning, and applications of AIML in healthcare. The programme also emphasizes the development of critical thinking, problem-solving abilities, and ethical considerations essential for responsible AI development and deployment.
Translation Research in Mathematics
The PhD programme in Translational Research in Mathematics offers a rigorous curriculum combining theoretical foundations and practical applications. It is structured to give PhD candidates a deep understanding of core areas of Pure Mathematics and its application areas, including analysis of data, graph theory, combinatorics and programming. The programme also emphasizes the development of critical thinking, problem-solving abilities, and deployment.
M.Sc. in Cryptology and Cybersecurity
The Master of Science (M.Sc.) in Cryptology and Cybersecurity is a forward-thinking and comprehensive graduate programme designed to equip students with the advanced knowledge and skills required to excel in the rapidly evolving field of translational aspects of Cryptology, for example security in digital transaction in banking and financial sector.