Program Overview
Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries by enabling machines to learn, adapt, and make decisions—reshaping everything from healthcare and transportation to finance and cybersecurity. This specialization in Computer Science and Engineering offers a comprehensive and in-depth understanding of intelligent systems and data-driven technologies.
The program focuses on building a strong foundation in AI and ML through a blend of mathematical modeling, algorithm design, computing theory, and hands-on application. Students are trained to address real-world challenges using intelligent systems and to design scalable solutions using advanced learning techniques.
Our curriculum is tailored to meet the growing demand for AI professionals, emphasizing practical learning, research orientation, and industry relevance.
Curriculum Highlights
- Core subjects include Mathematics for AI, Probability & Statistics, Data Structures, and Algorithmic Foundations
- Specialized training in Machine Learning algorithms, Neural Networks, Deep Learning, Reinforcement Learning, and Natural Language Processing
- Exposure to Computer Vision, Soft Computing, and Decision-Making Systems
- Integration with essential CSE domains such as Operating Systems, Compiler Design, Computer Networks, and Software Engineering
- Practical exposure through project-based learning, labs, and live data experiments
Students also participate in workshops, industry seminars, hackathons, and expert lectures to gain real-time insights into the evolving AI/ML landscape.
Why Pursue AI & ML?
High Industry Demand
AI & ML have become central to innovation across various sectors. This has resulted in a strong demand for qualified engineers with the ability to create, optimize, and deploy intelligent systems.
Competitive Salary Packages
Professionals in AI & ML are among the most highly compensated due to the specialized skill set they bring and their critical role in business and technology transformation
Opportunity to Work on Innovative Technologies
Engineers in this domain contribute to cutting-edge advancements—from automation and predictive analytics to smart infrastructure and digital assistants.
Broad Career Opportunities
Graduates can explore roles in data science, AI research, robotics, automation engineering, product development, and consulting across industries including healthcare, automotive, finance, education, and more.
Continuous Learning and Growth
AI & ML are rapidly evolving fields, offering continuous opportunities for learning, research, and career progression through new tools, frameworks, and methodologies.
Learning Environment and Infrastructure
- Modern computer labs equipped with IBM systems and industry-standard AI/ML software
- 1:1 student-to-computer ratio to ensure personalized, hands-on learning
- Strong focus on academic research, industry collaboration, and capstone projects
- Guidance and mentoring from experienced faculty members and industry professionals
Career Pathways
Graduates of this program are well-prepared for roles such as:
- Machine Learning Engineer
- Artificial Intelligence Developer
- Data Scientist
- AI Researcher
- NLP Engineer
- Computer Vision Specialist
- Automation & Robotics Engineer
