CSE - Artificial Intelligence and Machine Learning (Intake 60)
The Department of Artificial Intelligence and Machine Learning (AI & ML) offers the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning), a four-year undergraduate program with an annual intake of 60 students. The program is supported by a well-structured curriculum that integrates core computer science foundations with advanced AI/ML concepts and extensive hands-on learning. Backed by experienced, research-oriented, and industry-experienced faculty, the department emphasizes emerging areas such as Explainable AI, Deep Learning, Generative Models, and Multimodal AI. It also fosters collaboration, innovation, ethical AI practices, and effective communication skills, preparing students for successful careers and higher studies in cutting-edge technological domains.
Program Highlights
- Flexi-Credit Courses: Learn at your own pace and explore diverse subjects.
- Six-Month Industry Internship: Gain hands-on experience and jumpstart your career.
- Industry Collaboration, Conferences & Workshops: Work on live projects and participate in knowledge-sharing events.
- Global Exposure & International Seminars: Exchange programs, summer schools, international internships, and seminars.
- Special Diploma in Business Management: Develop leadership and managerial skills.
- Mentor-Mentee System & Remedial Support: Receive personalized guidance to unlock your potential.
- Internationally Benchmarked Curriculum: Learn with standards aligned to top universities worldwide.
- Service Learning Activities: Grow by giving back to the community.
- Industrial Visits, Technical Events & Guest Lectures: Gain hands-on insights from industry leaders and experts.
- Foreign Languages & Liberal Arts: Broaden perspectives beyond technology.
- Tinker Lab: Innovate, experiment, and bring your ideas to life.
- State-of-the-Art Infrastructure: Best-in-class facilities for learning and research.
- Innovation, Creative, Critical & Design Thinking Courses, and Entrepreneurship: Sharpen problem-solving and entrepreneurial abilities.
Curriculum Highlights
- Skill-Based & Industry-Oriented Courses: Learn practical skills aligned with industry needs.
- Immense Domain Exposure: Gain deep knowledge across multiple domains.
- Multidisciplinary Application Knowledge: Apply learning across varied fields and projects.
- Major Thrust on Hands-On Training: Learn by doing with real-world applications.
- Stakeholder-Involved Curriculum Design: Courses shaped with industry and academic inputs.
- Courses for Holistic Development: Focus on overall personal and professional growth.
- Latest Technology Skill Development: Master cutting-edge tools and emerging technologies.
Expected Job Roles
- Data Analyst
- Software Engineer
- Business Intelligence Developer
- NLP Engineer
- Machine Learning Engineer
- Deep Learning Engineer
- AI Engineer
- Computer Vision Engineer
- Robotics Engineer
- Predictive Analytics Specialist
- Big Data Engineer / Architect
- Cloud AI / ML Ops Engineer
- Prompt Engineer
- LLM Application Developer
- Reinforcement Learning Engineer
- Research Scientist
- AI Solutions Architect
- AI Ethics & Policy Specialist
- Product Manager (AI / Tech Products)
- Software Architect
