B.Sc. Honours Artificial Intelligence and Machine Learning
The Artificial Intelligence and Machine Learning course is designed to equip professionals with the skills necessary to excel in today’s digital world.
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.
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.
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 Course
The B.Sc. (Honors) Artificial Intelligence and Machine Learning degree course is for Three / Four years and spread over eight consecutive semesters. The maximum duration to acquire the prescribed number of credits in order to complete the Program of Study shall be Six Semesters (3 Years) for B.Sc. (Honors) (Artificial Intelligence and Machine Learning) and Eight Semester consecutive semesters (4 Years) for B.Sc. (Honors) (Artificial Intelligence and Machine Learning) with Research.
The candidates for admission to this programme shall be required to have passed the 10+2 / 10+3 system of examinations or equivalent with mathematics/business mathematics / Computer Science/Computer Applications/Information Practices/equivalent as one of the subjects of study. Students shall be admitted to this programme based on admissions criteria fixed by the University / Government of Puducherry from time to time.
Age Limit
Candidates must have completed 17 years as of July of the academic year and should be below 21 years of age as of July of the year. In the case of physically handicapped, scheduled caste and scheduled tribe candidates, the age relaxation will be considered for three years as per norms.
Lateral Entry Admission(For the Academic year-2024-25 onwards)
As per NEP, students have a choice of exit and entry into the programme multiple times. UGC specifies that about 10% of seats over and above the sanctioned strength shall be allocated to accommodate the Lateral Entry students. Candidates seeking entry in the second, third and fourth year should meet the necessary eligibility criteria with respect to the certificate/diploma/degree they possess, with the necessary minimum credits banked in the Academic Bank of Credits (ABC). Such students who get admitted in later years, other than the first year, will be guided by the following clauses:
Medium of Course
The medium of instruction is English Language.
| 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
Students will apply the scientific knowledge acquired in classrooms and laboratories in real-life situations and work environments. The course of study for B.Sc. (Honors) (Artificial Intelligence and Machine Learning) and B.Sc. (Honors) (Artificial Intelligence and Machine Learning) with Research Degree shall comprise
Programme Structure
| Semester I | Semester II | Semester III | Semester IV | Semester V | Semester VI | Semester VII | Semester VIII (Honors) | Semester VIII (Honors with Research) |
|---|---|---|---|---|---|---|---|---|
| Digital Logics and Fundamentals (MJD 1)* | Problem Solving & Programming Fundamentals (MJD 2)* | Object Oriented Programming(MJD 3)* | Computer System Architecture (MJD 5)* | Operating Systems (MJD 8)* | Management Strategies & Concepts (MJD 12)* | Web Engineering (MJD 16)* | Sequence Models / AI and Cybersecurity(MJD 19)*(Choose Any One) | Sequence Models / AI and Cybersecurity (MJD 19)*(Choose Any One) |
| Data Visualization (MID 1)* | Introduction to Artificial Intelligence (MID 2)* | Data Structures (MJD 4)* | Design and Analysis of Algorithms (MJD 6)* | Mathematical Foundations of CS (MJD 9)* | Software Engineering Theory and Practice (MJD 13)* | System Modelling & Simulation (MJD 17)* | Generative AI / Explainable A (MJD 20)*(Choose Any One) | Generative AI / Explainable AI (MJD 20)*(Choose Any One) |
| Electives* Choose any one (MLD 1)* | Electives* Choose any one (MLD 2)* | AI and Ethics (MID 3)* | Database Management Systems (MJD 7)* | Computer Networks (MJD 10)* | Distributed Systems (MJD 14)* | Wireless Communication Networks (MJD 18)* | Large Language Models (MJD 21)* | |
| English I / Modern Indian Languages I (AEC 1)* | English I / Modern Indian Languages I (AEC 2)* | Electives* Choose any one (MLD 3)* | Mathematical Foundations of Machine Learning (MID 4)* | Artificial Neural Networks (MID 5)* | Operations Research (MJD 15)* | Reinforcement Learning / Natural Language Processing(MID 7)*(Choose any one) | Prompt Engineering (MJD 22)* | Research Project (MJD 21)*(MJD 21)* |
| Python Programming / Building Interactive Dashboards(SEC 1)* | Data Wrangling with R / Logic Programming * SEC 2(Choose any one ) | English II / Modern Indian Languages II(AEC 3)* | English II / Modern Indian Languages II(AEC 4)* | Summer Internship (MJD 11)* | Machine Learning in IoT / Big Data Analytics(MID 6)*(Choose any one) | Sequence Models / AI and Cybersecurity(MID 8)*(Choose any one) | Time Series Analysis (MJD 23)* | Project Report (MJD 22)* |
| Understanding India (VAC 1)* | Health & Wellness/Yoga Education/ Universal Human Values(VAC 3)* | Machine Learning Frameworks / Data Mining & Tools (SEC 3)*(Choose any one) | Community Engagement and Service (Project)* | |||||
| Environmental Sciences/Education /Higher Order Thinking (VAC 1)* | Digital Technologies(VAC 4)* |