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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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