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Bachelor of Science in Artificial Intelligence & Machine Learning

A future-focused undergraduate programme designed to build expertise in Artificial Intelligence, Machine Learning, intelligent systems, data analytics, and automation technologies that are transforming industries worldwide.

3 Years Program Duration
6 Semesters
45% Minimum Eligibility

B.Sc. AI & ML

3 Years · 6 Semesters · University of Mumbai

Artificial Intelligence Machine Learning
AI Innovation
Future-Ready Technology
Machine Learning
Intelligent Systems
Duration

3 Years

Eligibility

HSC Mathematics

Affiliation

University of Mumbai

Focus Area

AI & ML

Mode

Full-Time

Degree

B.Sc AI & ML

Why Choose This Course

Why Choose B.Sc AI & ML?

Build a career in one of the fastest-growing sectors powered by Artificial Intelligence, Machine Learning, and data-driven technologies.

Industry-Aligned Curriculum

A modern AI & ML curriculum structured according to current industry requirements and future trends.

Experiential Learning

Learn through hands-on projects, coding exercises, datasets, and real-world AI applications.

Future-First Education

Prepare to work with intelligent systems, automation technologies, and data-driven innovation.

Innovation Mindset

Analyze complex challenges and develop intelligent solutions using AI and Machine Learning.

Career Opportunities

Career Opportunities After B.Sc AI & ML

Graduates of the B.Sc AI & ML programme are equipped to build intelligent systems, solve complex business challenges, and drive innovation across industries.

Data Scientist

Transform complex data into meaningful insights that support strategic decision-making and innovation.

Machine Learning Engineer

Develop intelligent algorithms, predictive models, and machine learning systems for real-world applications.

AI Developer

Build AI-powered applications, automation tools, and intelligent technologies for modern enterprises.

Business Intelligence Analyst

Use analytics and visualization tools to support organizational growth and data-driven decisions.

Data Engineer & Cloud Specialist

Design, manage, and optimize large-scale data infrastructure and cloud-based solutions.

Technology & Innovation Leader

Lead AI-driven transformation initiatives, innovation projects, and intelligent business solutions.

FAQs

Frequently Asked Questions

The B.Sc Artificial Intelligence & Machine Learning programme is a 3-year undergraduate degree divided into 6 semesters. The curriculum focuses on AI, Machine Learning, intelligent systems, automation, analytics, and emerging technologies.

Candidates must have passed HSC (12th) Mathematics from a recognized board with a minimum of 45% aggregate marks. Reserved category candidates require a minimum of 40% marks as per applicable norms.

Graduates can pursue careers as AI Engineers, Machine Learning Engineers, Data Scientists, AI Developers, Business Intelligence Analysts, Data Engineers, Cloud Specialists, Product Managers, and Technology Consultants.

Students can pursue MSc in Artificial Intelligence & Machine Learning, Master of Computer Applications (MCA), or an MBA in Technology Management to advance their technical expertise and leadership capabilities.

Yes. The programme emphasizes experiential learning through coding exercises, real-world datasets, AI projects, Machine Learning model development, case studies, and hands-on industry-oriented applications.
Industry Exposure

Real-World Experience

Gain practical exposure through workshops, certifications, industrial visits, and guest lectures.

Workshops

Hands-on skill development sessions

Certifications

Industry-recognised certifications

Industrial Visits

Real-world business exposure

Guest Lectures

Insights from industry experts

Placement Support

100% Placement Assistance

Dedicated career support to help you transition from academic learning to professional success.

100%
Placement Rate
50+
Recruiting Partners
₹4.5L
Average Package
100%
Internship Assistance
Our Faculty

Meet Our Expert Educators

Our distinguished faculty members bring a wealth of academic excellence and industry experience to guide you towards success in your academic journey.

Dr. Soni Singh
Incharge Principal
Ph.D (Commerce), M.Phil, MBA (Finance), M.Com
Accountancy Finance Commerce
Dr. Purva Gupta
Assistant Professor
Ph.D (Commerce) & MBA (Finance)
Finance Commerce Management
Mohd Sarim Syed
Assistant Professor
Double UGC NET (Commerce) & M.Com
Accounts Taxes Business Statistics
Anamika Malhotra
Assistant Professor
NET (Commerce) & M.Com (International Business)
Accountancy International Business
Kiran Hanmant Chavan
Assistant Professor
M.Phil (Hospitality Management), M.T.M
Research Leadership Hospitality
Viji Gladies Kala
Assistant Professor
M.Com, M.Phil
Accountancy Taxation
CA. Jyoti Sharma
Assistant Professor
Chartered Accountant, M.Com
Accountancy Operation Research CA
Suparna Roy
Assistant Professor
MBA (HR)
HR Law
Chanda Pandey
Assistant Professor
M.Com (Advanced Accountancy), B.Ed
Marketing Mass Media
Prachi Shah
Assistant Professor
M.Com (Advanced Accountancy), B.Ed
Marketing Mass Media
Bushra Mulla
Assistant Professor
M.Com (Business Management), B.Ed
Marketing HR Mass Media
Swati Pandey
Assistant Professor
M.Com (Business Management), B.Ed
Marketing Management
Rinka Yadav
Assistant Professor
M.Com (Advanced Accountancy), B.Ed
Marketing Mass Media
Madhuri Agarwala
Assistant Professor
M.Com (Financial Accounting)
Mass Media Marketing
Arti Mishra
Assistant Professor
M.Com (Accountancy)
Management Mass Media
Progati Mukherjee
Assistant Professor
M.A. (Social Work)
Marketing Mass Media Social Work
Admission Process

How to Apply

Simple and transparent admission process to help you get started on your academic journey.

1
Check Eligibility

HSC (10+2) with 45% aggregate from a recognised board. Minimum 17 years of age.

2
Fill Application

Complete the online application form with your personal and academic details.

3
Document Verification

Submit HSC marksheet, transfer certificate, ID proof, and passport-size photographs.

4
Confirm Admission

Pay the admission fee and secure your seat in the B.Com programme.

Documents Required
  • HSC Marksheet
  • Transfer Certificate
  • ID Proof (Aadhar/PAN)
  • Passport-size Photographs
  • Caste Certificate (if applicable)
  • Gap Certificate (if applicable)
Eligibility Criteria
  • Academic Qualification: Passed HSC (12th) from a recognised board
  • Minimum Marks: 45% aggregate score
  • Age Requirement: Minimum 17 years
  • University Guidelines: Subject to university eligibility norms
Exam Committee

Flow Chart of Examination

Structured examination process ensuring transparency and efficiency

Internal Examination

1
Notice & Time-Table issued 15 days prior to Exam
2
Notice & Time-Table issued 15 days prior to prepare for 2 Sets of Question Paper

Regular / ATKT Examination

1
Notice & Time-Table issued 25 days prior to Exam
2
Notice & Time-Table issued 25 days prior to prepare for 4 Sets of Question Paper
Admission Procedure

Standard Operating Procedure

Comprehensive admission process for all degree courses

First Year Admission All Degree Courses
  • After HSC Result, students fill the online admission form on Samarth portal.
  • Students fill offline form and submit with original HSC Marksheet, HSC Leaving certificate, and xerox copies of HSC marksheet, HSC leaving certificate, SSC passing certificate, Aadhar card, ABC-ID and Samarth portal admission form.
  • Admin staff checks admission forms and guides students to pay admission fee.
  • Clerk fills student enrollment form in college login on Samarth portal.
  • College pays admission fee online to Mumbai University.
  • Clerical staff submits Enrollment Form to Enrollment Department, Mumbai University with documents: Enrollment form, xerox copy HSC marksheet, HSC leaving certificate, SSC passing certificate and online admission payment receipt.
  • College pays examination fee of Semester-I and Semester-II.
  • College pays Continuation Affiliation fee in August and Yearly Affiliation fee in January.
Second & Third Year Admission All Degree Courses
  • First and Second year students take offline admission in Second and Third year.
  • Students fill offline form and submit with xerox copy of last attempt result, Aadhar card, and ABC-ID.
  • Clerk fills online admission forms of Second and Third year students on MKCL portal.
  • College pays admission fee and examination fee online to Mumbai University.

Note: All admissions are subject to university eligibility norms and document verification.

Eligibility Criteria

Admission Eligibility

Minimum qualification requirements for admission to various courses

Course Name Minimum Percentage Eligibility
Bachelor of Commerce (B.Com) 45.00% 12th Pass
Bachelor of Commerce (Management Studies) 45.00% 12th Pass
Bachelor of Accounting & Finance (B.A.F.) 45.00% 12th Pass
B.Sc. Cyber Security 45.00% 12th Science / Mathematics
B.Sc. Data Science 45.00% 12th Science
B.Sc. Artificial Intelligence & Machine Learning 45.00% 12th Mathematics
Exam Pattern

NEP Examination Framework

As per the New Education Policy (NEP) 2020, all courses follow a semester-based evaluation system

Semester Pattern

All courses are conducted in semester pattern as per NEP guidelines.

22 Credits per Course

Each course carries a total of 22 credits, divided across two semesters.

40% Internal + 60% External

Evaluation split: 40% internal assessment and 60% semester end examination.

Individual Passing Required

Students must pass internal and external components separately.

Academic Year 2024-2025

Under the NEP-2020 implementation, for many UG courses, the evaluation is divided into Internal Assessment (Continuous/Internal assessments) + Semester End / External Examination. The split is 40% internal and 60% external for theory papers.

NEP 2020 Compliant
Academic Excellence

Our Rankers 2024-2025

Celebrating the academic achievements of our top-performing students

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SY.B.Com (MS)
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TY.B.Com (MS)
🥇SAYED AMMAR IDRISHI
🥈BANDAY LAYABA RIYAZII
🥉SAYYED TUBA ZEHRAIII
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