Bachelor of Engineering (Hons.) (Computer Science and Engineering) (Data Science) (In association with IBM)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon October 2026

Course Overview

The Bachelor of Engineering (Hons.) in Computer Science and Engineering (Data Science) at Chandigarh University, in association with IBM, is designed for aspiring innovators ready to tackle the global demand for data-driven insights. You will explore the rapidly expanding field of data science, learning to extract meaningful information from complex datasets to solve real-world problems across various industries. This undergraduate degree provides you with a robust foundation in both the theoretical underpinnings and practical applications of data science, preparing you for a career at the forefront of technological advancement.

This full-time, on-campus programme, studied over four years, immerses you in core areas such as advanced data structures, database management systems, probability and statistics, and AI applications. You will engage in practical learning through labs, mini-projects, and a significant capstone project, culminating in an industrial internship project in your final year. You will graduate with the analytical, programming, and problem-solving skills essential for roles in data analysis, machine learning engineering, and business intelligence, positioning you for success in the high-growth tech sector.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Bachelor of Engineering program in Computer Science and Engineering with a specialization in Data Science provides a comprehensive foundation in core engineering principles and advanced data science concepts. Students will develop skills in logical thinking, programming, algorithms, database management, and statistical methods. The curriculum also emphasizes communication, ethics, and professional development through various electives and project-based learning, preparing graduates for careers in the rapidly evolving field of data science.

1 Semester 1

Logical Thinking & Problem Solving
Mathematics–I
Communication Skills–I
Academic and Career Pathway Planning
Semiconductor Physics & Applications
Universal Human Values, Ethics and Life Skills–I
Emerging & Disruptive Technologies Workshop
Engineering Physics

2 Semester 2

Basic Data Structures
Mathematics–II
Communication Skills–II
General Proficiency–I
Programming Practice
Digital Electronics
Aptitude–I
Design Thinking & Innovation
AI Applications Lab
Computer Graphics Lab
Biology for Engineers

3 Semester 3

Computer Organization and Architecture
Advanced Data Structures & Algorithms
Python Programming
Database Management Systems
Probability and Statistics
Universal Human Values, Ethics & Life Skills–II
Social Internship
Soft Skills–I

4 Semester 4

Software Engineering
Operating Systems
Object-Oriented Programming using Java
Design & Analysis of Algorithms
Professional Elective–I
Semester Mini Project
TPP: Aptitude–II
TPP: Soft Skills–II
Introduction to Soft Computing
Web Technologies
Competitive Coding–I
Full Stack Development–I

5 Semester 5

Numerical Methods
Project-Based Learning in Java
Computer Networks
Professional Elective–II
Professional Elective–III
Institute / Industrial Summer Training
TPP: Soft Skills–III
TPP: Aptitude–III
Fundamentals of Image Processing
Full Stack Development–II
Competitive Coding–II

6 Semester 6

Statistical Methods for AI (R / MATLAB / Scilab)
System Design
Theory of Computation
Professional Elective–IV
Professional Elective–V
Capstone Project–I
TPP: Soft Skills–IV
TPP: Aptitude–IV
Software Project Management
Competitive Coding–III
Advanced Database Management Systems
General Proficiency–II

7 Semester 7

Parallel & Distributed Computing
Professional Elective–VI
Capstone Project–II
Open Elective–I
Environmental Science, Waste & Disaster Management
Institute / Industrial Training
Competitive Coding–IV
Academic Writing Skills & IPR

8 Semester 8

Elective–VII
Capstone Project–III
Open Elective–II
Professional Ethics
Industrial Internship Project

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 7,400.00
Second Year Fee Tuition fee
USD 7,400.00
Third Year Fee Tuition fee
USD 7,400.00
Fourth Year Fee Tuition fee
USD 7,400.00
Total Program Cost Estimated total tuition
USD 29,600.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 28.00 - USD 178.00
Food & Groceries USD 960.00 - USD 2,400.00
Transport USD 180.00 - USD 480.00
Utilities & Bills USD 240.00 - USD 720.00
Estimated Total USD 1,380.00 - USD 3,600.00

Living cost estimates are based on Punjab Campus.

Why Study Bachelor of Engineering (Hons.) (Computer Science and Engineering) (Data Science) (In association with IBM) at Chandigarh University

What makes this program stand out

October 2026 Closing soon

Next intake is in October 2026

Life at Chandigarh University in India

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Bachelor of Engineering (Hons.) (Computer Science and Engineering) (Data Science) (In association with IBM) at Chandigarh University

Can I work while studying?

International students cannot be employed under a student permit in India.

What jobs can I get after studying this course?

Graduates can pursue job titles such as Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, and Machine Learning Engineer.

What will I actually study in this course?

This program covers essential topics such as Data Science ecosystem and Data Analytics. It aims to equip students with an understanding of current technologies and their applications in various industry domains.

When can I start — what are the intake months?

The Bachelor of Engineering (Hons.) program has two intakes each year, in February and October. Students can apply during either of these months to begin their studies in Data Science.
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