Introduction
The Bachelor of Technology in Computer Science and Engineering (Artificial Intelligence) equips students with an in-depth understanding of both foundational computer science principles and advanced artificial intelligence techniques. This programme delves into key areas such as probability, statistics, machine learning, deep learning, natural language processing, computer vision, reinforcement learning and more. Students also explore the ethical dimensions of AI and receive hands-on training in Python, C++, or Java, along with essential data structures, algorithms, and database management skills.
Career Prospects
- AI Engineer
- Data Scientist
- Machine Learning Engineer
- AI Researcher
- Software Engineer
Electives
- Reinforcement Learning
- Natural Language Understanding
- Spoken Language Processing
- Machine Learning with Graphs
- Information Retrieval and Web Search
- Mining of Massive Datasets
- Large Language Models
- Optimization for Machine Learning
- Machine Learning Operations (MLOps)
Semester 1
- Programming – I
- Fundamentals of Electrical and Electronics Engineering
- Design Creativity and Thinking
- Calculus
- Environment and Sustainability
- Fundamentals of Communication
Semester 2
- Programming – II
- Digital Electronics
- Applied Physics
- Linear Algebra and Differential Equations
- Indian Knowledge System
- Critical Thinking and Storytelling
Semester 3
- Data Structure and Algorithms
- Computer Organization and Architecture
- Database Management Systems
- Probability and Statistics
- Essentials of Business Management
- Perspectives on Contemporary Issues
Semester 4
- Design and Analysis of Algorithms
- Machine Learning
- Operating Systems
- Discrete Mathematics
- Managerial Economics
- Communication and Identity
Semester 5
- Artificial Intelligence
- Deep Learning
- Computer Vision
- Departmental Elective – I
- Open Elective – I
- Understanding and Managing Conflict
Semester 6
- Natural Language Processing
- Ethical and Responsible AI
- Departmental Elective – II
- Departmental Elective – III
- Open Elective – II
- Critical Thinking for Decisions at Workplace
Semester 7
- Project
- Departmental Elective – IV
- Departmental Elective – V
- Open Elective – III
- Open Elective – IV
- Open Elective – V
Semester 8
- Practice School-II /Entrepreneurial Project/Research Project/Semester at a partner University
Specializations
Specializations allow students to acquire advanced skills and knowledge in a specific area of their main program. The curriculum for the first two years remains the same for all students, providing a solid foundation in core engineering principles.
In their third year, students can choose to specialize in one of the following areas, requiring the completion of at least three courses within the specialization:
- Foundations of Data Science
- Natural Language Processing
- Business Analytics
- Data Visualisation
- Parallel and distributed computing
- Cloud computing architecture
- Cloud Services and technologies
- Fog and edge networks
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- Big data storage and architecture
- Multi-dimensional and advanced databases
- Mining massive data-sets
- Social network analysis and business analytics
- Introduction to information security
- Fundamentals of cyber security
- Secure Analytics and Coding
- Cyber Forensics
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- CMOS VLSI
- VLSI Physical Design
- VLSI testing and verification
- IC Fabrication Technology/ Real time operating systems
Minors (Interdisciplinary)
For students interested in expanding their horizons beyond their primary field of engineering, minors offer a valuable opportunity. Minors complement the main degree and can enhance employability, facilitate interdisciplinary learning, or serve as a stepping stone to further education.
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The minors currently offered at the institute include:
- Design
- Banking in Fintech
- Entrepreneurship
- Robotics
- Mathematics
Successfully completed specializations and minors are prominently noted on the students’ degree certificates alongside their main field of study. This recognition highlights their additional qualifications and can significantly enhance their profiles for potential employers or academic opportunities.