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overview

The B.Sc. (Hons.) Mathematics and Artificial Intelligence is an interdisciplinary undergraduate programme that integrates strong mathematical foundations with modern Artificial Intelligence, Machine Learning, and Data Science. The programme is designed to develop analytical thinking, computational skills, and problem-solving abilities required in today’s data-driven and technology-oriented world.

The curriculum includes core Mathematics courses such as Calculus, Linear Algebra, Probability, Statistics, Optimization, Differential Equations, Dynamical Systems, and Abstract Algebra along with Artificial Intelligence areas including Machine Learning, Deep Learning, Pattern Recognition, Data Science, Reinforcement Learning, Natural Language Processing, and Generative AI. The programme also includes programming, computational tools, internships, projects, and a final-year research dissertation.

This programme prepares students for careers in Artificial Intelligence, Data Science, Analytics, Finance, Research, and Technology industries, as well as for higher studies and research in Mathematics and Artificial Intelligence.

Attention Please !

Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.
– Issued in Public Interest by Directorate of Admissions and Academic Outreach

Programme Vision

To develop mathematically strong and technologically skilled graduates capable of contributing to Artificial Intelligence, Data Science, and interdisciplinary research and innovation.

Programme Mission

  • To provide strong foundations in Pure and Applied Mathematics.
  • To integrate Artificial Intelligence and Machine Learning with mathematical modeling and analysis.
  • To develop computational, analytical, and problem-solving skills.
  • To prepare students for research, higher education, and industry careers.
  • To promote interdisciplinary learning aligned with modern technological developments.

programme Highlights

Strong foundation in Pure and Applied Mathematics
Integrated curriculum combining Mathematics, Artificial Intelligence, and Data Science
Courses in Machine Learning, Deep Learning, NLP, Reinforcement Learning, and Generative AI
Programming using Python, MATLAB, R, and scientific computing tools
Mathematical Modeling, Optimization, and Statistical Learning
Capstone Project and Final Year Dissertation
Internship and Industry Project opportunities
Interdisciplinary applications in Finance, Biology, Control Systems, and Data Analytics
Designed for Higher Studies, Research, and Industry Careers

why choose this programme

Mathematics is the foundation of Artificial Intelligence and Data Science

High demand for AI and Data Science professionals worldwide

Combines theory, computation, and real-world applications

Opens opportunities in technology, finance, analytics, and research sectors

Strong foundation for higher studies

Interdisciplinary and future-oriented programme

Career Opportunities

Graduates of this programme can pursue careers as:

  • Data Scientist
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Data Analyst
  • Quantitative Analyst
  • Statistical Analyst
  • AI Research Assistant
  • Business Intelligence Analyst
  • Mathematical Modeler
  • Software/Algorithm Developer
Employment Sectors
  • IT and Software Companies
  • AI and Data Science Companies
  • Banking and Financial Institutions
  • Research Organizations
  • Healthcare Analytics
  • Government Research Labs
  • EdTech Companies
  • Startups in AI and Data Analytics
  • Energy Systems and Engineering Analytics
Higher Education Opportunities
  • M.Sc. Mathematics
  • M.Sc. Artificial Intelligence
  • M.Sc. Data Science
  • M.Tech Artificial Intelligence / Data Science
  • MBA Business Analytics
  • Ph.D. in Mathematics, Artificial Intelligence, Data Science, Computational Sciences, Operations Research, Control Systems, etc.

fee structure

  • Tuition Fee – Rs. 45,000
  • Caution Deposit – 3,000

Facilities at a glance

  • Central Library
  • Hostel Accommodation
  • Sports Facilities
  • Banking Facilities
  • Transport
  • Medical Services
  • Canteen
  • General Store
  • CISCO
  • ICTS
  • Reprographic Facility
Amrita First in India & Top 50 in THE Impact Rankings 2025

Students can learn in an environment where they are comfortable and looked after. Here are the facilities that our campus provides…

Why Amrita

The top reasons to choose Amrita for your career

1st

In India

41

In the World

601-800th

World University Rankings 2020

141

BRICS

8th

India University Rankings 2025

Overall Rankings 2025

Overall Rankings 2025
ranking
8th Ranked
University in India
ranking
Amrita Ranked No.1 in India Top 50 in The World
ranking
Topmost
‘A++’ Grade
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