introduction
The B.Sc. (Honors) (Artificial Intelligence and Machine Learning) is a degree program under the National Education Policy (NEP) semester pattern for Three / Four years. The Department’s objective is to prepare students with a practical understanding of artificial intelligence and machine learning to make the most of real-world projects from diverse industries. This course goes a long way towards helping students to unlock career opportunities in the coveted fields of Artificial Intelligence and machine learning. The Department has a strong commitment to excellence in graduation. The Department has a strong commitment to excellence in graduation. The college provides well-furnished smart classrooms, Wi-Fi enabled campus and world-class infrastructure facilities for students with well-experienced, qualified and dedicated faculty.
The college has tie-ups with the leading IT Industries for the benefit of the students. The Program provides necessary training through placement cells to make students fit for the current corporate needs.
Aim of the Program
The Artificial Intelligence and Machine Learning course is designed to equip professionals with the skills necessary to excel in today’s digital world. Gain the right skills to achieve top-level career positions with the program. This graduation certification course is meant to prepare the students for the AI and Machine Learning job roles for which they aspire. Students will learn real-world Machine Learning and Deep Learning skills through multiple AI Deep Learning business projects, transforming them into a sought-after New Age AI and ML Specialist.
Students who enrol in this program will: Learn AI and ML concepts, purpose, domain breadth, phases, implementations, and impact. Create real-world projects, games and prediction models. This graduation in Artificial Intelligence and Machine Learning has been designed to provide the best learning outcome to aspiring AI and ML learners. This three-year / four-year course will help the students to prepare for the data scientist, Data analyst, Machine learning engineer and AI engineering roles.
Duration of the Program
Eligibility for Admission:
Age Limit:
Lateral Entry Admission(For the Academic year-2023-24 onwards):
- That the University shall notify the admission process and number of vacancies open for lateral entry. that the Lateral entrants shall be admitted only after such a transparent screening process and such procedure that the University may prescribe from time to time. University may prescribe different methods of screening for different programmes depending on the circumstances prevailing in each case.
- Lateral entry shall be permissible only at the beginning of years 2, 3, and 4 of the Under Graduate / Honors programme, provided that the students seeking lateral entry shall have obtained the minimum pass marks/grades fixed by the University in their previous academic years. .
Medium of Course
Sl.No | Name of the program (NEP 2020) | Duration of the program | Whether Semester/ Non-Semester | Student Intake |
---|---|---|---|---|
1 | Bachelor of Artificial intelligence and Machine learning with Honors / Honors with Research | Three / Four Years | Semester | 60 |
Program of Study
- Digital Logics and Fundamentals (MJD 1)*
- Data Visualization (MID 1)*
- Natural Sciences (MLD 1)*
- English I (AEC 1)*
- Python Programming (SEC 1)*
- Understanding India (VAC 1)*
- Environmental Sciences/Education (VAC 1)*
- Problem Solving & Programming Fundamentals (MJD 2)*
- Introduction to Artificial Intelligence (MID 2)*
- Physical Sciences (MLD 2)*
- Indian Language I (AEC 2)*
- Health & Wellness/Yoga Education (VAC 3)
- Digital Technologies (VAC 4)
- Mathematical Foundations of CS (MJD 3)*
- Data Structures (MJD 4)*
- AI and Ethics (MID 3)*
- English II (AEC 3)*
- Machine Learning Frameworks
- Data Mining & Tools (SEC 3)*
- Computer System Architecture (MJD 5)*
- Design and Analysis of Algorithms (MJD 6)*
- Object Oriented Programming (MJD 7)*
- Mathematical Foundations of Machine Learning (MID 4)*
- Indian Language II (AEC 4)*
- Community Engagement and Service (Project)*
- Operating Systems (MJD 8)*
- Database Management Systems (MJD 9)*
- Management Strategies & Concepts (MJD 10)*
- Artificial Neural Networks (MID 5)*
- Summer Internship (MJD 11)*
- Computer Networks (MJD 12)*
- Software Engineering Theory and Practice (MJD 13)*
- System Modelling & Simulation (MJD 14)*
- Web Engineering (MJD 15)*
- Machine Learning in IoT
- Big Data Analytics (MID 6)*
- Software Testing and Quality Assurance (MJD 16)*
- Distributed Systems (MJD 17)*
- Wireless Communication Networks (5G) (MJD 18)*
- Reinforcement Learning
- Natural Language Processing (MID 7)*
- Deep Learning and Image Analytics
- Robotics (MID 8)*
- Sequence Models
- AI and Cybersecurity (MJD 19)*
- Generative AI
- Explainable AI(MJD 20)*
- Large Language Models (MJD 21)*
- Prompt Engineering (MJD 22)*
- Time Series Analysis (MJD 23)*
- Sequence Models
- AI and Cybersecurity (MJD 19)*
- Generative AI
- Explainable AI(MJD 20)*
- Research Project (MJD 21)*(MJD 21)*
- Project Report (MJD 22)*
- Project Viva-voce (MJD 23)*
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