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B.Tech. (Hons.) in Computer Science & Engineering
Specialisation: Data Science
Vidyashilp University's B.Tech. (Hons.) program is a specialization in Data Science built on Computer Science and Engineering. It is a unique combination of interdisciplinary program work designed for those who seek to become 'Data Scientists'. The curriculum design and structure are guided both by recent work on the relation of Data Science to the other domains as well as the need for talent to meet the demands of the data-driven economy of the future. Graduates of the B.Tech. program in Computer Science and Engineering will be uniquely positioned to pursue a career in industry, academia, or research in this rapidly growing and all-pervasive field of Data Science.
Read MoreMajor
Data Science
Minor
Economics, Marketing, Psychology, Finance, Design, Law
Domain Expertise in Data Science
Data Science has emerged as a transformative force shaping business, research, and society, driving the rapid expansion of digital technologies. As data generation accelerates, so does our ability to interpret and apply it, powering intelligent, data-driven systems across industries.
An interdisciplinary field by nature, Data Science integrates Computer Science, Statistics & Mathematics, and Business and domain knowledge.
Data Science helps:
1. Build meaningful insights and responsible systems from data
2. Data collection to communication, ensuring data integrity and usability
3. Apply ethical principles to data-driven decision-making
Data professionals today:
1. Translate complex datasets into actionable insights
2. Drive informed decisions across industries
3. Combine analytical thinking with real-world problem-solving
What Sets This Programme Apart
Nurturing Future-Ready Data Scientists
The B.Tech. (Hons.) in the Data Science program at Vidyashilp University is built to prepare students for an evolving tech-driven world...
The B.Tech. (Hons.) in the Data Science program at Vidyashilp University is built to prepare students for an evolving tech-driven world. With a curriculum that blends core Computer Science and Engineering with advanced Data Science topics, students gain the skills to lead in fields like Artificial Intelligence, Machine Learning, and Deep Learning. This future-focused academic approach ensures graduates are equipped to create real impact through technology.
Read MoreCustomizable Learning Pathways
Students have the freedom to personalize their academic journey through specialization tracks such as Applied Deep Learning and Full Stack Development...
Students have the freedom to personalize their academic journey through specialization tracks such as Applied Deep Learning and Full Stack Development. Interdisciplinary minors in areas like Psychology, Design, Marketing, Finance, Law, and Economics further expand career possibilities, enabling students to operate at the intersection of data and domain knowledge. This open academic system fosters unique combinations of skills tailored to individual ambitions.
Read MoreLearning Beyond the Classroom
At Vidyashilp University, learning goes beyond lectures. With hands-on projects, internships, and practical lab sessions, students gain real-world experience that mirrors industry expectations...
At Vidyashilp University, learning goes beyond lectures. With hands-on projects, internships, and practical lab sessions, students gain real-world experience that mirrors industry expectations. This experiential learning model enhances problem-solving, critical thinking, and technical dexterity — qualities that employers actively seek.
Read MoreMentorship and Modern Infrastructure
Students benefit from mentorship by leading academicians and industry experts who bring real-world insights into the classroom...
Students benefit from mentorship by leading academicians and industry experts who bring real-world insights into the classroom. Coupled with access to cutting-edge infrastructure and research facilities, the program also emphasizes soft skills like communication, teamwork, and ethical reasoning — ensuring well-rounded, globally aware graduates who are ready to lead innovation.
Read MoreProgram Structure
4
YEARS
180
CREDITS
8
SEMESTERS
University Core
Communication Skills
Human Values and Ethics
Analytical Academic Writing
Critical Thinking
Problem Solving for Design Thinking
Environmental Studies and Sustainability
Fundamentals of Indian Constitution and Human Rights
Community Engagement
Humanistic Leadership Development
Socio-Cultural Perspectives on Indian Life
Program Foundation
Materials for Smart Devices
Sustainable Smart Materials
Design Workshop
Calculus
Probability and Statistics
Linear Algebra
Advanced Statistical Analysis and Research Methods with R
Program Core
Data Structures
Theoretical Computer Science
Analysis of Algorithms
Digital Design and Computer Organization
Object-Oriented Programming
Microprocessors and Computer Architecture
Operating Systems
Networks
Databases Management
Programming in Python
Data Visualization and Storytelling
Artificial Intelligence
Internet of Things
Honors Program Core
Advanced Exploratory Data Analysis
Optimization Techniques for Data Science
Machine Learning
Deep Learning
Cloud Computing and AI Model Deployment
Specialization Tracks
Track 1
Advanced Exploratory Data Analysis
Optimization Techniques for Data Science
Machine Learning
Deep Learning
Cloud Computing and AI Model Deployment
Track 2
Full Stack Development
Backend Systems and API Development
Big Data Analytics
Web Frameworks
Mobile Application Development
Performance Optimization and Testing
Minors
Economics
Psychology
Design
Marketing
Finance
Law
Admissions 2026-27 — Quick Facts
| Programme | B.Tech. (Hons.) Data Science |
|---|---|
| Duration | 4 years | Full-time |
| Annual fee | ₹5,03,500 Lakh |
| Eligibility | Class 12 pass; [Physics & Mathematics are compulsory]; minimum 50% |
| Entrance exams | [KCET / JEE Mains / COMEDK / CUET and Other State Level Entrance Examination ] |
| Selection process | Registration, Form Submission, One-on-One session with the Program Heads, Interactions with Academic Deans, Personal interview |
Internships
Experiential learning is at the heart of the B.Tech. (Hons.) in the Data Science program at Vidyashilp University. The curriculum is designed to bridge theory and practice through internships, industry-led projects, and interdisciplinary collaboration. Students are required to undertake internships that offer hands-on exposure to real-world challenges, allowing them to sharpen their analytical thinking and adapt to professional environments.
Internships serve as a launchpad for a student’s professional journey, offering students an opportunity to explore career pathways, apply their learning in practice, and build the confidence to pursue both industry roles and entrepreneurial ventures.
The University partners with leading organizations such as EvueMe, Cytecare, and others to provide these invaluable opportunities. In addition to internships, students engage in interdisciplinary projects that span psychology, economics, design, marketing, finance, and law—enhancing their ability to integrate technical skills with domain-specific knowledge. These experiences collectively prepare students to tackle complex, real-world problems with agility, insight, and innovation.
Career Pathways
Data Science and AI Roles
Software Development and Engineering Roles
Business and Analytical Roles
Research and Innovation Roles
Eligibility
National/State Boards
Passed 10+2 examination with Overall 50% with Physics and Mathematics as compulsory subjects along with one of the subjects - Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational Subjects / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship.
Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above three subjects taken together.
OR Passed minimum 3 years Diploma examination with at least 50% marks (45% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
IB
English, Physics, Mathematics and Chemistry / Biotechnology / Biology / Computer Science or any other technical vocational subject* as optional subject (preferably Mathematics and Physics at HL level).
IB Diploma or IB Certificate with minimum average of 4 points for Physics, Mathematics and any optional subject* with overall minimum of 24 points.
Minimum 3 subjects in HL and 3 subjects in SL.
*Technical vocational subject must be related to Chemical / Civil / Computer / Electrical / Mechanical streams.
Eligibility criteria for engineering is based on AICTE & KCET requirement.
Qualifying Exams for B. TECH (HONS.)
ADMISSION is KCET / JEE Mains / COMEDK / CUET and other State Level Entrance Examination (Eg.: CETs of Andhra Pradesh, Tamil Nadu, Maharashtra...).
IBCP Equivalence for Engineering
Students graduating with 03 DP subjects (Maths, Physics, Chemistry / other similar subjects) with at least 01 subject at HL Level and minimum 03 points in each DP Subject.
Career Related Study (CRS) with at least 03 subjects.
International Baccalaureate Career Related Study (IBCP) qualification with core components requirement awarded by IB.
Required equivalence certificate from the Association of Indian Universities (AIU).
A Level
Physics, Mathematics and Chemistry / Biotechnology / Biology / Computer Science or any technical vocational subject* as an optional subject in the 'A' Levels and English in the 'AS' / IGCSE/ GCSE.
Minimum grade required is an average of 'D' grade in Physics, Mathematics and any one of the optional subjects.
*Technical vocational subject must be related to Chemical / Civil / Computer / Electrical / Mechanical streams.
The future of Data Science extends beyond creating more specialists, it lies in enabling every role to become data-driven. As data becomes ubiquitous across organizations and AI integrates into everyday workflows, decision-making will increasingly be shaped by a combination of intelligent systems and human judgment. This shift is creating a hybrid workforce that works seamlessly with AI using data-driven thinking.
B.Tech. (Hons.) – AI & ML
This program emphasizes artificial intelligence, deep learning, neural networks, and automation. Students gain strong foundations in intelligent systems, data-driven decision making, and real-world AI applications.
