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B.Sc. Artificial Intelligence & Machine Learning
(B.Sc. AIML)

Introduction

A Bachelor of Science in Artificial Intelligence & Machine Learning is a Bachelor's degree affiliated to the University. This programme is of three years, comprising of six semesters. The programme focuses on Artificial Intelligence, Machine Learning, Python Programming, Data Analysis, Database Systems, Intelligent Computing, Web Technologies, and emerging AI applications. It provides students with strong theoretical knowledge and practical skills through laboratory sessions, projects, and hands-on training using modern AI tools and technologies. The programme prepares students for careers in Artificial Intelligence, Machine Learning, Data Science, Software Development, Business Intelligence, and other emerging technology domains.

Syllabus

1st Semester
Subjects Credit
Digital Marketing Fundamentals / Financial Literacy & Personal Finance 04
Introduction to Artificial Intelligence 02
Programming Fundamentals using Python 02
AI & Python Programming Lab 02
Introduction to AI Tools & Platforms 02
Digital Systems & Computer Fundamentals 02
English – I 02
Green Technology & Sustainable Development 02
Computing in Ancient India 02
Physical Education / NSS / NCC 02
2nd Semester
Subjects Credit
Entrepreneurship & Startup Essentials / Business Law & Consumer Awareness 04
Data Structures for AI 02
Data Analysis & Interpretation for AI 02
Data Structures & Data Analysis Lab 02
Database Management Systems 02
Python for Data Handling & AI Preparation 02
Web & API Basics for AI 02
English – II 02
Ethics in Artificial Intelligence 02
Physical Education / NSS / NCC 02

Eligibility

  • A candidate for being eligible for admission to B.Sc. (Artificial Intelligence & Machine Learning) shall have passed the Std. XII (HSC) Examination in Science, Commerce or its equivalent and have secured not less than 45% marks in aggregate at the first attempt (40% in case of Reserved Category).
  • Every candidate admitted to the degree course shall have to register with the University.

Admission

  • Admission to the course shall be offered as per the rules framed by the University from time to time and will be granted at the commencement of the first semester.
  • Candidates seeking admission from Boards other than the Maharashtra State Board and colleges affiliated to universities other than the University must produce a Transfer Certificate from the Board/College last attended.

Programme Outcome

  • This programme is best suited for students who are keen on building a career in Artificial Intelligence, Machine Learning, Data Science, and emerging technologies.
  • It provides strong foundations in programming, intelligent systems, data analysis, AI tools, ethical computing, problem-solving, and industry-oriented practical skills, enabling graduates to pursue higher education, research, entrepreneurship, and employment in the rapidly growing AI industry.

Scheme of Examination

The Scheme of the Examination shall be divided in three parts:

  • Internal Assessment – 25 Marks
    • One class test of 20 marks to be held in the given semester.
    • 5 marks for Class Participation and Attendance.
  • Semester End Examination – 75 Marks
    • Duration – This examination shall be of 2½ hours.
  • Practical – 50 Marks
    • The marks are allotted based on practical and case study.

Why Choose B.Sc. Artificial Intelligence & Machine Learning?

The B.Sc. Artificial Intelligence & Machine Learning programme is designed to equip students with the knowledge and practical skills required to excel in the rapidly evolving field of Artificial Intelligence. The curriculum combines strong theoretical foundations with hands-on learning, enabling students to develop intelligent solutions for real-world problems. With an industry-oriented approach, practical laboratories, project-based learning, and exposure to modern AI technologies, the programme prepares students for higher education, research, entrepreneurship, and rewarding careers in emerging technology sectors.


Key Features

  • Industry-oriented curriculum aligned with NEP 2020.
  • Comprehensive coverage of Artificial Intelligence, Machine Learning, Python Programming, Data Analysis, and Database Management.
  • Practical-based learning through laboratory sessions, projects, and case studies.
  • Hands-on experience with modern AI tools and development platforms.
  • Workshops, seminars, expert lectures, and technical activities to enhance practical knowledge.
  • Focus on analytical thinking, problem-solving, innovation, and ethical use of Artificial Intelligence.
  • Internship guidance and placement assistance for final-year students.

Faculty

Faculty details will be updated shortly.


Contact Person

For programme and admission-related enquiries, kindly contact the College Office.

Under Graduate Courses