B.Sc Computer Science (AI‑ML) | Indus University Ahmedabad

Department Overview

The Institute of Information & Communication Technology at Indus University, Ahmedabad delivers computing education with a strong emphasis on core computer science principles and emerging intelligent technologies.

The department integrates theoretical foundations, laboratory training, applied projects, and exposure to modern computing environments to prepare students for evolving technological domains such as Artificial Intelligence and Machine Learning.

Program Overview

The B.Sc. Computer Science with specialization in Artificial Intelligence and Machine Learning is designed for students seeking a strong academic foundation in computing along with focused expertise in intelligent technologies.

The programme builds core competencies in Programming, Data Structures, Algorithms, Discrete Mathematics, Operating Systems, and Software Principles.

Alongside this, students gain specialized knowledge in Machine Learning Models, Data Preprocessing, Pattern Recognition, Basic Neural Networks, Natural Language Processing fundamentals, and Intelligent Decision-Making Systems.

The curriculum emphasizes analytical thinking and problem-solving supported by laboratory sessions, hands-on implementation, and guided projects.

Program Highlights / Key Features

Industry-advised curriculum
Balanced theory and practical approach
Hands-on laboratory learning
Project-based experiential training
Internship assistance and industry exposure
Blended learning model
ICT-enabled classrooms
Well-equipped computer laboratories
Industry project management exposure

Curriculum & Learning Areas

Core Computer Science Areas

Programming and Software Development
Data Structures and Algorithms
Discrete Mathematics
Operating Systems
Software Engineering

Specialization Areas

Artificial Intelligence Fundamentals
Machine Learning Principles
Neural Networks
Pattern Recognition
Data-Driven Decision Systems
Natural Language Processing Basics

The curriculum integrates strong theoretical concepts with practical implementation to build expertise in AI-driven technologies.

Industry Exposure & Practical Learning

Students gain practical exposure through:

Laboratory-based learning
Guided AI and Machine Learning projects
Hands-on implementation of models
Industry expert lectures and workshops
Internship assistance

Students gain exposure to contemporary tools, frameworks, and development environments used in AI-enabled applications.

Career Opportunities

Job Roles

AI Application Developer
Machine Learning Support Engineer
Data Analytics Support Executive
Software Developer
Junior AI Engineer

Career Sectors

IT Services
Data Analytics Firms
AI-enabled Product Companies
Research and Development Units

Graduates may also pursue advanced studies in Artificial Intelligence, Machine Learning, Data Science, and related domains.

Course Details

Strong core computing foundation
Focused specialization in AI and Machine Learning
Industry-relevant and future-ready curriculum
Laboratory and project-oriented learning approach
Dedicated training and placement support

Candidates must have passed the Higher Secondary (10+2) examination in Science or Commerce streams with a minimum of 45% aggregate from a recognized board.

B.Sc. Computer Science – 3 Years (6 Semesters)
B.Sc. Computer Science (Honours) – 4 Years (8 Semesters)

Admissions are conducted based on merit as determined by the Admission Committee.

Candidates may register online or opt for walk-in admission, subject to interaction and approval.

Strong core computing foundation
Focused specialization in AI and Machine Learning
Industry-relevant and future-ready curriculum
Laboratory and project-oriented learning approach
Dedicated training and placement support

Candidates must have passed the Higher Secondary (10+2) examination in Science or Commerce streams with a minimum of 45% aggregate from a recognized board.