
Bachelor of Science in Artificial Intelligence & Data Science
The B.Sc. (AI & DS) Department of L. S. Raheja College of Arts and Commerce (Autonomous) aims to develop skilled professionals in the rapidly evolving fields of Artificial Intelligence and Data Science. The program is designed to provide a strong foundation in computational techniques, data handling, and intelligent systems along with practical exposure to real-world applications.
With a vision to nurture future-ready professionals, the department creates an environment that encourages analytical thinking, innovation, and problem-solving abilities. Students are trained to work with modern AI tools, data analytics platforms, and machine learning techniques to derive meaningful insights from data.
B.Sc. (AI & DS) is ideal for students interested in data analysis, machine learning, artificial intelligence, business intelligence, and predictive analytics. Graduates can pursue careers in Data Science, AI Engineering, Data Analytics, Machine Learning, Business Analytics, and related domains across industries such as healthcare, finance, e-commerce, and technology.
The department promotes creativity and innovation through participation in projects, hackathons, and technical events. Students gain hands-on experience by working on real-life datasets and AI-based solutions.
Objectives:
• To provide fundamental understanding of Artificial Intelligence and Data Science concepts
• To develop analytical and problem-solving skills using data-driven approaches
• To impart practical knowledge of tools and techniques used in AI and Data Science
• To prepare students for emerging career opportunities in data-centric industries
• To encourage innovation, research, and ethical use of technology
ELIGIBILITY CONDITIONS FOR ADMISSION
A Candidate for being eligible for admission to the degree programme in Bachelor of Science (Artificial Intelligence and Data Science) shall have passed 12th Class Examination of the Maharashtra Board of Higher Secondary Education or its equivalent examination in all the subjects in one and the same sitting.
Please note: There is no separate in-house student quota / admission category for these programmes.
Programme Credits as per the New Education Policy structure:
Sem 1 | Sem 2 |
22 | 22 |
Courses Offered
Course Details
F.Y. B.Sc. (AI & DS) | |||||
UNDER CHOICE BASED CREDIT SYSTEM | |||||
Subject Code | Semester I | Credits | Subject Code | Semester II | Credits |
Major Mandatory | Major Mandatory | ||||
UGBSCAIDSIMJ126 | 2 | UGBSCAIDSIIMJ126 | 2 | ||
UGBSCAIDSIMJ226 | 2 | UGBSCAIDSIIMJ226 | 2 | ||
UGBSCAIDSIMJ326 | 1 | UGBSCAIDSIIMJ326 | 1 | ||
UGBSCAIDSIMJ426 | 1 | UGBSCAIDSIIMJ426 | 1 | ||
Minor | Minor | ||||
NIL | _ | UGBSCAIDSIIMN26 | 2 | ||
Open Electives: OE (Any-two) | Open Electives: OE (Any-Two) | ||||
UGBSCAIDSIOE126 | 2 | UGBSCAIDSIIOE126 | 2 | ||
UGBSCAIDSIOE226 | 2 | UGBSCAIDSIIOE226 | 2 | ||
UGBSCAIDSIOE326 | 2 | UGBSCAIDSIIOE326 | 2 | ||
Vocational Skill Courses: VSC | Vocational Skill Courses: VSC | ||||
UGBSCAIDSIVSC26 | 2 | UGBSCAIDSIIVSC26 | 2 | ||
Skill Enhancement Courses: SEC | Skill Enhancement Courses: SEC | ||||
UGBSCAIDSISEC126 | 2 | UGBSCAIDSIISEC126 | 2 | ||
UGBSCAIDSISEC226 | 2 | UGBSCAIDSIISEC226 | 2 | ||
Ability Enhancement Courses: AEC | Ability Enhancement Courses: AEC | ||||
UGBSCAIDSIAEC26 | 2 | UGBSCAIDSIIAEC26 | 2 | ||
Value Education Courses: VEC | Value Education Courses: VEC | ||||
UGBSCAIDSIVEC26 | 2 | UGBSCAIDSIIVEC26 | 2 | ||
Indian Knowledge System: IKS | Indian Knowledge System: IKS | ||||
UGBSCAIDSIIKS126 | 2 | NIL |
| ||
OR | |||||
UGBSCAIDSIIKS226 | |||||
Co-curricular Courses: CC; | Co-curricular Courses: CC; | ||||
UGBSCAIDSICC126 | 2 | UGBSCAIDSIICC126 | 2 | ||
OR | OR | ||||
UGBSCAIDSICC226 | UGBSCAIDSICC226 | ||||
OR | OR | ||||
UGBSCAIDSICC326 | UGBSCAIDSIICC326 | ||||
OR | OR | ||||
UGBSCAIDSICC426 | UGBSCAIDSIICC426 | ||||
OR | OR | ||||
UGBSCAIDSICC526 | UGBSCAIDSIICC526 | ||||
Total Credits | 22 | Total Credits | 22 | ||
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