B.Tech in Mathematics & Computing
Vision
To produce future leaders at the forefront of research, development, and innovation in futuristic disciplines that require deep use of Mathematics, Computer Science, and Data Science. The program emphasizes AI and ML, attracting the nation's brightest minds through the JEE Advanced examination.
Core Focus
The curriculum concentrates on areas where Mathematics and Computing are most relevant and inter-laced. It provides a perfect platform for those seeking strong Mathematical and Analytical components with specialization in topics like AI/ML/DS/Energy.
Background
Recent ground-breaking mathematical developments have far reaching implications on daily life, from mathematical modelling and large scale optimization to data-driven strategies for solving PDEs and mimicking neural processing. These advancements underpin emerging fields like Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Data Science (DS).
With vast potential for applications, these fundamental topics, not surprisingly, have become cynosure for researchers from several scientific fields while resulting in products like Chat GPT, high precision imaging in medical domain, physics-aware neural processing etc.
At the heart of these developments lie some deep rooted advanced mathematical, computational, and data analytic tools, which form the foundational pillars of emerging fields like Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Data Science (DS). Recognizing the need for trained manpower, IIPE Visakhapatnam proposes this 4-year B.Tech. programme.
Admissions
View MoreSelection Process
Admission is based on JEE Advanced ranking. Qualified candidates apply for IIPE BTech Admissions.
Important Dates
JEE Advanced: May 2025
IIPE Admissions: June-July 2025
Classes Begin: August 2025
Co-ordinator

Ramunaidu Randhi
Associate Professor, Mathematics
Sparse Representation Theory (Compressed Sensing), Deep Learning and Model-based AI, Machine Learning, Finite Frame Theory
Program Highlights
- •Strong foundation in Mathematics and Computer Science
- •Specialization in AI, ML, and Data Science
- •Industry-relevant curriculum
- •Hands-on practical training
Career Opportunities
- •Data Scientist
- •Machine Learning Engineer
- •AI Researcher
- •Computational Scientist
- •Software Developer
Program Structure
The program consists of 165 credits distributed across 8 semesters with a balanced mix of core courses and electives.
Faculty

Veerabhadra Rao C
Associate Professor, Computer Science and Engineering
Distributed Systems, Algorithms, AI & ML

Ramunaidu Randhi
Associate Professor, Mathematics
Sparse Representation Theory (Compressed Sensing), Deep Learning and Model-based AI, Machine Learning, Finite Frame Theory

Rathan Samala
Assistant Professor, Mathematics
Computational Methods for (Partial) Differential Equations, Hyperbolic conservation laws, Nonlocal conservation laws: applications to traffic flows, Shock capturing schemes: ENO and WENO

Seshagiri Rao Ambati
Professor, Department of Chemical Engineering
Process Control, Wastewater Treatment, Process Dynamics, Hybrid Energy Systems, Flow Batteries

Venkata Reddy P
Associate Professor, Department of Chemical Engineering
Process Systems Engineering, Water Distribution Networks, Cyber Physical Systems, Security of Critical Infrastructures, Machine Learning applications in Process Design, Fault detection and isolation

Hemanth Kumar Tanneru
Associate Professor, Department of Chemical Engineering
Systems Engineering, Data Analytics and Machine Learning, Waste to Value