Overview
- The B.Sc CS (AI & ML) program is designed to build a strong foundation in Computer Science with advanced skills in Artificial Intelligence and Machine Learning. It combines essential theory with practical tools like Deep Learning, Computer Vision, and NLP.
- The curriculum focuses on real-world learning using case studies and problem-solving methods. This helps students clearly connect AI concepts with practical applications in technology and industry.
- To strengthen industry readiness, the program offers hands-on training, workshops, and internships through collaborations with partner companies. These experiences improve students’ practical skills and make them more employable.
- With a blend of conceptual learning, project-based application, and industry exposure, the program prepares students to excel in AI-driven careers. It equips them to design intelligent solutions for modern technological challenges.
Special features of the Program are as follows:
- 15 weeks Internship during the sixth semester to get hands-on industry experience.
- Guest Lectures from industry people to update the happenings of the industry to the students.
- Industrial visits to get practical real-world exposure
- Wide range of courses including Machine Learning , Natural Language Processing, Artificial Intelligence, R Programming, Python, etc.
- Providing Value added courses like python programming, power BI & Tableu, Data Engineering, MLOPs Deployment and Amazon AWS during each semester.
- Providing International Certification on Power BI & Microsoft Azure.
- Blog Maintenance by each student.
- AWS Student Club and Cloud Club
Our Department Vision and Mission
DEPARTMENT VISION
To be a center of excellence in Artificial Intelligence and Machine Learning education, nurturing innovative minds to create impactful, intelligent solutions for a better world.
DEPARTMENT MISSION
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- To provide a strong foundation in Computer Science with specialized expertise in Artificial Intelligence and Machine Learning.
- To foster critical thinking, problem-solving, and creativity through practical, interdisciplinary learning experiences.
- To enhance industry readiness through collaborations, internships, hands-on training, and real-world exposure.
- To promote ethical values, social responsibility, and inclusive practices in the development and application of AI and ML technologies.
Eligibility For Admission
Above 60 % in +2 with Mathematics and Physics subjects.
Career Opportunities and Placement
- Machine Learning Engineer
- Artificial Intelligence Support/Operation Engineer
- AI Product Tester/QA Analyst
- AI Chatbot Developer
- Research Analyst
- Quantitative Analyst (Quant)
- Prompt Engineer
- MLOps Engineer
- Data Visualization Specialist
- Business Intelligence Analyst
- Entrepreneur in Tech/AI Startups
Value Added Courses
- Python Programming for AI
- Power Bi & Tableu
- Data Engineering
- Amazon AWS
- MLOps Deployment
International Certificates
- Power Bi
- Amazon AWS