Undergraduate Programme
For Women & Men

Duration: 4 Years
ARTIFICIAL INTELLEGENCE
As Artificial Intelligence (AI) permeates multiple spheres of innovation, Sri Sathya Sai Institute of Higher Learning takes responsibility for shaping future citizens with AI skills alongside a solid foundation in Computer Science. This niche multidisciplinary programme in Computer Science and Artificial Intelligence, offered by the Department of Mathematics and Computer Science, seamlessly integrates the AI skills required into a foundational Computer Science undergraduate programme.
Artificial Intelligence is an allied discipline alongside Mathematics, Statistics and Computer Science in this programme. The Mathematics and Statistics disciplines build a solid foundation in Calculus, Linear Algebra, Optimization, Probability and Statistics in R, leading up to data science courses such as Data Mining and Machine Learning. With this strong mathematical and statistical foundation and data science skills, the programme then offers Deep Learning and Natural Language Processing, with an Introduction to Large Language Models. While these courses are competitive enough to be part of an AI programme, the programme takes the student a notch higher by offering specializations in Human-Centric AI (courses such as Generative AI, Responsible AI, Agentic AI), Quantum Computing (courses such as Quantum Information Theory, Quantum Machine Learning) or Cyber Security (courses such as Cryptography, Network Security).
All GATE DA (Data Science & Artificial Intelligence) courses are covered.
COMPUTER SCIENCE
The Computer Science component of this programme deepens one’s understanding of programming logic, computer systems and networks. For example, programming skills are introduced with Problem Solving in the first semester, followed by Introduction to Data Structures in the second semester, and progress to Object-oriented programming concepts, Software Engineering, culminating in a project. The programme builds proficiency in programming languages such as C, C++, Python, and Java, as well as in web programming. Students gain knowledge of computer systems through foundational courses such as Computer Organization & Design and Operating Systems. Courses such as Computer Networks, Database Management Systems, SQL and Cloud Computing strengthen skills in networks, cloud operations and databases.
All GATE CS (Computer Science and Information Technology) courses are covered, including Formal Languages and Compiler Design.
PROGRAMME STRUCTURE
This programme provides niche skills in Artificial Intelligence with a solid foundation in Computing and Technology. It focuses on linking theory and practice and applies fundamental principles across a wide range of applications. In the eighth semester, students with research capabilities can pursue a research project, and students with analytical capabilities can pursue a software development / data science project. This gives students tremendous confidence in their ability to join research in AI / CS, software development, AI engineering, data engineering and data science organisations. In essence, the programme offers sufficient depth and breadth across multiple disciplines, leading to the development of very mature professionals in Computer Science, Artificial Intelligence and Data Science.
Over and above all the disciplines, the programme offers multiple Awareness courses, such as Unity of Religions, and the study of classics like the Ramakatha Rasavahini and Bhagavatha Vahini, which channel students’ minds in the right direction. In its entirety, this programme attempts to implement the journey of Knowledge, Skill, Balance and Insight as ordained by our Founder Chancellor, Bhagawan Sri Sathya Sai Baba.
B.S. (Hons.) in Computer Science
For students who complete a 4-year (8-semester) programme of study.
B.S. (Hons. with Research) in Computer Science
For students who secure a CGPA of 7.5 or more after the first six semesters (3 years of study) and opt to pursue research during the fourth year.
Entry & Exit options as per NEP 2020 Policy.
Ph.D. programme
Direct entry for students who complete a 4-year B.S. (Hons. with Research) in Computer Science and Artificial Intelligence
M.S. in Artificial Intelligence programme (1-year)
For students who complete a 4-year B.S. (Hons.) with CGPA of 7.5 or more or B.S. (Hons. with Research) in Computer Science and Artificial Intelligence
M.B.A. programme
For students who complete a 3-year B.Sc. or 4-year B.S. (Hons.) / B.S. (Hons. with Research) in Computer Science and Artificial Intelligence
- 10+2 years of schooling from a recognized board (CBSE or equivalent) with Mathematics as a core subject
- Either passed or appeared for Final exams at XII level before Admissions. If not appeared for XII Standard exams, X and XI Standard marks will be considered
- Consistent academic performance of 60% aggregate marks in X and/or XII Standard
- Age: Preferably below 19 years as of 30th June in the year of admission
YEAR 1
Semester 1
Calculus
Problem Solving with Computer
Practical: Software Lab in C – Part I
Practical: Software Lab in Python – I
Multidisciplinary Course (Environmental Science)
Awareness Course I: Sai Education for Transformation (Based on Bhagawan Baba’s Life and Teachings)
Semester 2
Probability and Statistics
Introduction to Data Structures
Practical: Software Lab in C – Part II
Practical: Software Lab in Python – II
Multidisciplinary Course (Indian Constitution)
Awareness Course II: Unity of Religions
YEAR 2
Semester 3
Discrete Mathematics for Computer Science
Statistics for Data Science in R
Computer Organization and Design
Cybersecurity
Practical: Software Lab in Data Visualization
Multidisciplinary Course (Soft Skills)
Awareness Course III: Study of Classics I – Ramakatha Rasavahini
Semester 4
Linear Algebra for Data Science
Database Management System
Object Oriented Programming Concepts
Practical: Software Lab in C++
Practical: Software Lab in SQL
Practical: Software Lab in Web Programming
Awareness Course IV: Study of Classics II – Bhagavatha Vahini
YEAR 3
Semester 5
Optimization for Machine Learning
Operating Systems
Computer Networks
Artificial Intelligence
Data Mining and Machine Learning
Practical: Software Lab in Java
Awareness Course V: Ethos and Values for the Changing World
Semester 6
Software Engineering
Design and Analysis of Algorithms
Cloud Computing
Deep Learning
Specialization Elective – I
Internship
Awareness Course VI: Life and its Quest
YEAR 4
Semester 7
B.S. (Hons.) Courses:
Formal Languages
Natural Language Processing and Introduction to Large Language Models
Research Methodology
Specialization Elective – II
Specialization Elective – III
Project Work
Awareness Course VII: Education for Life
B.S. (Hons. with Research) Courses:
Formal Languages
Natural Language Processing and Introduction to Large Language Models
Research Methodology
Specialization Elective – II
Specialization Elective – III
Research Project
Awareness Course VII: Education for Life
Semester 8
B.S. (Hons.) Courses:
Compiler Design
Specialization Elective – IV
Project Work
Open Elective (Big Data Analytics / Linux System Programming)
Awareness Course VII: Education for Life
B.S. (Hons. with Research) Courses:
Compiler Design
Specialization Elective – IV
Research Project
Awareness Course VII: Education for Life

