
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
No. of Courses | Semester I | Credits | No. of Courses | Semester II | Credits | |
Major Mandatory | Major Mandatory | |||||
Foundation of Artificial Intelligence | 02 | Statistical Analysis for Data Science | 02 | |||
Problem Solving Using Python | 02 | Data Structures & Algorithms | 02 | |||
Artificial Intelligence Lab | 01 | Data Structures & Algorithms Lab | 01 | |||
Python Lab | 01 | Statistics Lab | 01 | |||
Minor | Minor | |||||
NIL | _ | AI Ethics and Governance | 02 | |||
Open Electives: OE (Any-two) | Open Electives: OE (Any-Two) | |||||
Digital Marketing | 02 | Introduction to Vlogging | 02 | |||
Service Sector in India | 02 | Introduction to Photography | 02 | |||
Beginners Module to Editing | 02 | Introduction to Economics | 02 | |||
Vocational Skill Courses: VSC | Vocational Skill Courses: VSC | |||||
Linear Algebra for Data Science | 02 | 7. | Python for AI | 02 | ||
Skill Enhancement Courses: SEC | Skill Enhancement Courses: SEC | |||||
Spreadsheet Analytics and Visualization Tools | 02 | Data Visualization using Tableau | 02 | |||
Computer Organization | 02 | Graphic Designing | 02 | |||
Ability Enhancement Courses: AEC | Ability Enhancement Courses: AEC | |||||
Communication Skills and Presentation Techniques | 02 | Advanced Communication | 02 | |||
Value Education Courses: VEC | Value Education Courses: VEC | |||||
Green IT | 02 | Human Values in Social Environment | 02 | |||
Indian Knowledge System: IKS | Indian Knowledge System: IKS | ||||
Introduction to Indian Knowledge System OR Indian Knowledge System: Custodian of Knowledge | 02 | NIL | _ | ||
Co-curricular Courses: CC; | Co-curricular Courses: CC; | ||||
Foundation course in NSS/ Foundation course in NCC/ Physical Education and Sports/ Dance appreciation / Yoga Asanas and Meditation | 02 | 13. | Foundation course in NSS/ Foundation course in NCC/ Physical Education and Sports/ Dance appreciation / Yoga Asanas and Meditation | 02 | |
Total Credits | 22 | Total Credits | 22 | ||
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