B.Tech. (Hons.) in Computer Science & Engineering
– AI/ML
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
4Years
B Tech. (Hons.) - AI/ML
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.
Major: Â Artificial Intelligence & Machine Learning
Minor: Â Economics
    Psychology
    Marketing
    Finance
    Design
    Law
KCET Code: 287
Program Overview
Year-1Acquire a robust foundation in Mathematics and Computer Science by learning topics such as Calculus, Linear Algebra, Data Structures and Programming, analytical problem solving skills etc.
Year-2Gain a good background in Computer Science by learning topics such as Computer Organization, Algorithms and advanced programmig concepts. Get a good understanding of the field by learning basics of Artificial Intelligence, Machine Learning, statistical methods, and Data Analysis techniques.
Year-3Dive deeper into AI/ ML by studying topics such as Deep Learning, Computer Vision, Natural Language Processing, ML System Development, Cloud Computing etc.
Year-4Acquire good technical competencies through advanced elective courses, Capstone Project and industry internships.
DOMAIN EXPERTISE
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.
Why VU for B.Tech.?
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.
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.
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.
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.
Program Structure
4 YEARS
8 SEMESTERS
180 CREDITS
- 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
- Language
- Smart devices & smart materials
- Introduction to quantum mechanics
- Design Workshop
- Multivariate Calculus
- Probability and Statistics
- Linear Algebra
- Programming in Python
- 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
- Deep Learning
- Natural Language Processing
- Reinforcement Learning
- Image Processing and Computer Vision
- Cloud Computing and AI Model Deployment
- 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
- Economics
- Psychology
- Design
- Marketing
- Finance
- Law
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.
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.
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.
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.
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).
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.
Admission
Applicants ranking in the merit list will be invited for a Personal Interview.
