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B.Tech. (Hons.) in Computer Science & Engineering
Specialisation: Artificial Intelligence & Machine Learning
The Bachelor of Technology (Hons.) in Computer Science and Engineering (AI/ML) is a four-year program that focuses on developing expertise in Artificial Intelligence (AI) and Machine Learning (ML). This undergraduate honours program in AI/ML is designed to equip students with both the theoretical foundations as well as the practical skills needed to become successful professionals in this exciting and most impactful technology of the 21st century. Through a blend of AI, computer science, mathematics, data science, and ethics & philosophy, students learn to build intelligent systems for the future society. The core curriculum balances foundational areas of computer science with basics of AI including Deep Learning, Reinforcement Learning, and Natural Language Processing. In addition, the students have the opportunity to pursue minors in diverse fields such as Economics, Marketing, Psychology, Finance, Design, and Law. The program offers flexibility to the students to specialize into different subareas through a well designed bouquet of elective courses. The students can exercise their choice to focus on advanced AI/ML algorithms including Probabilistic Graphical Models, Bayesian Methods in Machine Learning, Generative AI, Multi-Modal Learning etc., or focus on AI systems development by doing courses on Full Stack Development, Backend Systems and API Development, Big Data Analytics, and Mobile Application Development. AI and ML are transforming our world — from healthcare and finance to transportation and creative arts. The undergraduate honours program in AI/ML at Vidyashilp University is designed to train students to become future leaders in this important technology. With highly experienced teachers creating a learning ecosystem that balances theoretical understanding with hands-on practical skills, this program offers students an exciting and unique opportunity to launch successful careers in Artificial Intelligence
Read MoreMajor
Artificial Intelligence & Machine Learning
Minor
Economics, Marketing, Psychology, Finance, Design, Law
Domain Expertise in Data Science
The Evolution of Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning are transforming our world — from healthcare and finance to transportation and creative arts. The undergraduate honors program in AI/ML at Vidyashilp University is designed to equip students to be the next generation of innovators and leaders in this transformative field. Our skilled & experienced faculty help create a learning ecosystem that balances theoretical understanding with hands-on practical skills, offering students a unique and exciting opportunity to launch successful careers in Artificial Intelligence.
The global AI market is projected to reach significant value in the coming years, with a substantial contribution to the worldwide economy, cementing AI/ML Specialists as one of the fastest-growing and most in-demand job roles globally.
Choose from a diverse range of Elective Courses
The program offers flexibility to the students to delve deep into different subareas through a well designed bouquet of elective courses. The students can exercise their personal choice to focus on, e.g., advanced AI/ML methods such as Probabilistic Graphical Models, Bayesian Methods in Machine Learning, Generative AI, Multi-Modal Learning, or focus on AI systems development by doing courses on Full Stack Development, Backend Systems and API Development, Big Data Analytics, or Mobile Application Development.
What Sets This Programme Apart
Nurturing Future-Ready AI/ML Wizards
The B.Tech. (Hons.) in Computer Science & Engineering (AI/ML) Program at Vidyashilp University is built to prepare students for an evolving tech-driven world...
The B.Tech. (Hons.) in Computer Science & Engineering (AI/ML) 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 AI/ML 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 a range of Elective Courses for a focussed approach...
Students have the freedom to personalize their academic journey through a range of Elective Courses for a focussed approach. 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...
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 in work and Life
Learning to Learn
Environmental Studies and Sustainability
Fundamentals of Indian Constitution and Human Rights
Community Engagement
Socio-Cultural Perspectives on Indian Life
Humanistic Leadership Development
Analytical Academic Writing
Critical Thinking
Problem Solving for Design Thinking
Program Foundation
Language
Smart devices & smart materials
Introduction to quantum mechanics
Design Workshop
Multivariate Calculus
Probability and Statistics
Linear Algebra
Programming in Python
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
Optimization Techniques
Machine Learning
Artificial Intelligence
Honors Program Core
Deep Learning
Natural Language Processing
Reinforcement Learning
Image Processing and Computer Vision
Cloud Computing and AI Model Deployment
Electives
Generative AI models
Parallel Computing
Probabilistic Graphical Models
Bayesian Methods in Machine Learning
Multi-Modal Learning
Data Visualization and Story Telling
Full Stack Development
Backend Systems and API Development
Big Data Analytics
Web Frameworks
Mobile Application Development
Performance Optimization and Testing
Advanced Statistical Analysis and Research Methods with R
Minors
Economics
Psychology
Design
Marketing
Finance
Law
Internship/Capstone Project
Internships
Experiential learning is at the heart of the B.Tech. (Hons.) in Computer Science & Engineering (AI/ML) 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. The University partners with industrial and research organizations 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.
The Expansive Scope of AI/ML: A Career Perspective
The need for skilled AI and ML professionals is experiencing an explosive surge, as businesses across every industry adopt intelligent systems to automate processes, enhance decision- making, and create smarter products. This translates into exceptional career prospects and a dynamic job market.
In-Demand Career Paths & Roles
The program prepares students for a diverse range of specialized and high-value roles that are currently at the forefront of technological innovation:
Machine Learning Engineer
Focuses on designing, building, and deploying ML models and platforms. This is consistently cited as one of the most sought-after AI jobs.
Data Scientist
Uses AI-driven techniques, statistical models, and programming to analyze massive datasets, extract actionable insights, and solve complex real-world problems.
AI Engineer
Develops and implements AI systems and applications that solve real-world problems, helping organizations increase efficiency and productivity.
Computer Vision and Natural Language Processing (NLP) Specialist
Experts who create systems to interpret and understand visual data and human language.
AI Research Scientist
Explores new, cutting-edge AI models and algorithms, often working to push the boundaries of technology in R&D labs.
IoT Developer
Designs, develops, and maintains embedded systems and device-to-cloud communication for Internet of Things applications.
Cloud Systems Engineer
Designs, implements, and manages scalable, secure, and highly- available infrastructure on cloud platforms (e.g., AWS, Azure, GCP).
Full Stack Developer
Builds and maintains both the client-side (frontend) and server-side (backend) of web applications.
DevOps Engineer
Streamlines the software development lifecycle by implementing CI/CD pipelines, automation, and infrastructure-as-code (IaC).
Business Analyst (BA)
Bridges the gap between business needs and technical solutions by gathering, documenting, and analyzing requirements from stakeholders.
Product Manager (PM)
Defines the product vision, strategy, and roadmap, prioritizing features and leading cross-functional teams to deliver value to customers.
Database Engineer
Designs, implements, and maintains database systems to ensure optimal performance, integrity, and security of stored data.
Eligibility
National/State Boards (CBSE / ISC / STATE BOARDS / NIOS / EQUIVALENT EXAMINATIONS)
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.
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...).
Eligibility criteria for engineering is based on AICTE & KCET requirement.
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.
