Amrita School of Computing
Computer Science & Engineering (Artificial Intelligence)
(CAI)
B.Tech. in Computer Science and Engineering with a specialization in Artificial Intelligence (CSE-AI) is a premier undergraduate program that combines the traditional rigor of Computer Science with the modern advancements of machine learning and autonomous systems.
The programme equips students with strong foundations in algorithms, intelligent systems, machine learning, deep learning, and data-driven technologies required for the future of computing.
Curriculum of B.Tech CSE in AI
- Foundations: Calculus, Linear Algebra, Physics, Programming in C/Python, Engineering Graphics.
- CS Core: Data Structures & Algorithms (DSA), Operating Systems, Computer Organization, DBMS, Probability & Statistics.
- AI Specialization: Machine Learning, Neural Networks, Natural Language Processing (NLP), Computer Vision, AI Ethics.
- Advanced & Labs: Deep Learning, Robotics, Reinforcement Learning, MLOps, Capstone Industry Project.
Job Roles After B.Tech CSE in AI
| Role | Description |
|---|---|
| AI Engineer | Focuses on developing intelligent agents and AI-driven systems. |
| MLOps Engineer | Handles deployment, monitoring, and scaling of AI models. |
| Machine Learning Engineer | Designs and deploys predictive models and self-learning algorithms. |
| Data Scientist | Uses statistical methods and AI tools to derive business insights. |
| NLP Specialist | Develops chatbots, language models, translation systems, and sentiment analysis tools. |
B.Tech CSE in AI Eligibility
A pass in 10 + 2 (Class XII) or its equivalent examination from a recognized Board with a minimum of 60% aggregate marks in Physics, Chemistry and Mathematics, and not less than 50% marks in each of these three subjects individually.
Admission to all the B.Tech programmes for the year 2026 is based on any one of the following:
- Amrita Entrance Examination – Engineering (AEEE)
- JEE Mains Percentile Score
Key Features
Career Opportunities
Course Details
Duration
4 Years
Eligibility
Age: Candidates born on or after 1st July 2005.
Educational Qualification: A pass in 10 + 2 (Class XII) or its equivalent examination with minimum 60% aggregate of marks in Mathematics, Physics and Chemistry with not less than 50% in each of these three subjects – Physics, Chemistry and Mathematics individually.
Available Campuses
Other Specializations
Computer Science & Engineering (Quantum Computing)
(CSE-QT)
A future-oriented B.Tech program that combines core Computer Science with Quantum Computing, enabling students to bridge classical computing with quantum…
Learn More →
Electrical & Computer Engineering
(ELC)
Bridge hardware and intelligent computing systems for the next generation of technology innovation.
Learn More →
Artificial Intelligence & Data Science
(AID)
Build intelligent systems and unlock the power of data-driven decision making.
Learn More →