PROGRAM OUTCOMES (PO)
PO 1 : Develop knowledge in the field of AI & ML courses necessary to qualify for the degree.
PO 2 : Acquire a rich basket of value added courses and soft skill courses instilling self-confidence and moral values.
PO 3 : Develop problem solving, decision making and communication skills.
PO 4 : Demonstrate social responsibility through Ethics and values and Environmental Studies related activities in the campus and in the society.
PO 5 : Strengthen the critical thinking skills and develop professionalism with the state of art ICT facilities.
PO 6 : Quality for higher education, government services, industry needs and start up units through continuous practice of preparatory examinations.
PO 7 : Gain inter-disciplinary, multi-disciplinary competence as value additions.
Curriculum & Syllabus
CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 140
|Core||Basics of Artificial Intelligence and|
|Core||Object Oriented Programming using|
|Core||Python Programming Lab||0||0||4||2|
|Core||Mathematics – I||4||0||0||4|
|Program||Eligibility||Criteria for Merit|
|B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning||Pass in (10+2) or equivalent with Maths/ Computer Science/ Business Maths/ Statistics/ Informatics Practices|
Lateral Entry: Pass in Diploma in Computer Science/ ECE/ Visual Communication/ EEE/ Information Technology/ Computer Technology
|Merit based on the percentage of marks secured in the qualifying examination|
- Robotics Programmer
- Video Game Programmer
- Data Scientist
- Software Engineer
- Machine Learning Researcher
- Business Intelligence Developer
- Statistical Analyst
| Tuition Fee 2023 - 2024 (Per Sem) ||Other Fee (Per Sem)||Total Fee (Per Sem)
|45,000|| 6,500 ||51,500|