Is this programme approved by the university? Can I apply right now?

B.Com (AI) is a proposed programme currently awaiting official approval from the affiliating university. Admissions will open only after the approval is received. You can register your interest via our Contact page and we will notify you as soon as applications open — no payment or commitment is required at this stage.

How do I know the admission fee for B.Com AI?

The official fee structure will be published once the programme receives university approval. Register your interest via the Contact page to receive the fee structure as soon as it is finalised.

Proposed Programme: This programme is currently awaiting official approval from the affiliating university. Admissions will open once approval is received. You are welcome to register your interest and we will keep you informed.

Self-Finance ProgrammeSubject to University Approval

Bachelor of Commerce in Artificial Intelligence

Where Commerce Meets Intelligence — Build the Future of Finance

3 Years Duration

6 Semesters

Full-Time Programme

Admissions open after university approval. Register your interest to receive updates.

NAAC

Accredited Institution

Quality assured education

AI+

Future-Ready Learning Framework

Commerce meets Artificial Intelligence

Internships Included

Analytics + FinTech exposure

Hybrid

Dual-Skill Graduate

Commerce + AI employability

About the Programme

Programme Overview

The Bachelor of Commerce in Artificial Intelligence is a pioneering three-year undergraduate programme designed for the AI-driven economy. It integrates the timeless foundations of commerce — accounting, finance, taxation, and auditing — with cutting-edge knowledge of Artificial Intelligence, Machine Learning, and Business Analytics.

Learners are trained to automate financial workflows, analyse data at scale, and build AI-driven decision models used in modern banks, FinTech firms, accounting practices, and corporate finance teams. Graduates emerge as a new kind of commerce professional — equally comfortable with a balance sheet and a Python notebook.

Industry-Aligned Learning Framework

Python, SQL & Power BI Training

AI + FinTech Focus

Mandatory Internships

Commerce × AI

The future of finance is intelligent

Admissions

Eligibility & Admission Criteria

Requirements for joining the B.Com Artificial Intelligence programme

Academic Qualification

•Higher Secondary +2 from a recognized board
•Open to Commerce, Science, and Arts streams
•Minimum 50% aggregate marks
•45% for OBC, 40% for SC/ST (as per norms)

Recommended Background

•Any +2 stream is welcome
•Basic comfort with mathematics is helpful
•No prior programming knowledge needed
•Curiosity about technology and business

Documents Required

•10th, 11th & 12th Mark Sheets
•Transfer Certificate
•Community Certificate
•Passport Size Photos
•Aadhaar Card Copy
•Bank Details

Academic Structure

Course Learning Framework

A balanced blend of core commerce, AI foundations, analytics, and FinTech specialisations

Learning Period I

Tamil / Language - I

English - I

Financial Accounting - I

Principles of Management

Fundamentals of Artificial Intelligence

Python Programming for Business

Business Communication

Learning Period II

Tamil / Language - II

English - II

Financial Accounting - II

Business Law

Statistics for Business & AI

Data Structures & Algorithms

Environmental Studies

Indicative curriculum — subject codes and titles are updated as per the latest university learning pathway.

What You'll Gain

Programme Learning Outcomes

Skills and competencies you will develop through this programme

Core Commerce Mastery

Build a strong foundation in financial accounting, corporate accounting, taxation, auditing, business law, and cost & management accounting.

AI & Machine Learning

Understand core AI concepts, Python programming, ML algorithms, and neural networks — and apply them to real business problems.

Business Analytics

Master data-driven decision making using SQL, Excel (advanced), Power BI, and Tableau to turn business data into actionable insight.

FinTech & AI in Finance

Learn algorithmic trading, AI-driven fraud detection, risk analytics, and the use of AI in auditing and corporate finance.

Process Automation (RPA)

Apply Robotic Process Automation to accounting, reconciliation, compliance and reporting — the fastest-growing skill in commerce today.

Ethics & Communication

Develop professional communication, ethical decision-making, and an understanding of responsible AI usage in business contexts.

Future Prospects

Career Opportunities

A hybrid Commerce + AI graduate unlocks careers that neither a pure B.Com nor a pure B.Sc. can reach

AI Financial Analyst

AI-driven forecasting & reporting

Business Intelligence Analyst

Dashboards & data storytelling

FinTech Associate

Digital banking & payments

RPA Developer

Automation of finance workflows

Risk & Fraud Analyst

AI-powered risk detection

Data Analyst

SQL, Python & visualization roles

AI Audit Consultant

Digital audit & compliance

Algorithmic Trading Associate

Quant finance entry roles

Recruiting Sectors

FinTech CompaniesBig 4 Accounting FirmsCommercial & Investment BanksInsurance & InsurTechMutual Fund & Wealth ManagementStock Broking & Trading FirmsAI & Analytics FirmsE-commerce & D2C BrandsIT & ITeS CompaniesConsulting FirmsGovernment & PSUsStartups

Infrastructure

Department Facilities

Modern infrastructure for a Commerce + AI learning experience

AI & Analytics Lab

Python, ML & Visualisation Workstations

High-spec systems pre-loaded with Python, Jupyter, scikit-learn, Power BI and Tableau for hands-on AI and analytics practice.

Accounting Software Lab

Tally, Excel & ERP Training

Dedicated lab for Tally Prime, advanced Excel, and ERP exposure — linking core commerce workflows with AI-powered tooling.

Smart Classrooms

Interactive Learning Studios

Air-conditioned studios with smart boards, projectors and modern teaching aids for interactive, case-based learning.

Digital Learning Commons

E-Journals & AI/Commerce Resources

Access to financial databases, AI/ML e-books, research journals and online learning platforms for continuous self-learning.

Seminar Hall

Industry Guest Lectures

Dedicated spaces for seminars, FinTech industry talks, AI workshops and startup showcases by guest experts.

Placement Cell

Career Guidance & Campus Drives

Dedicated placement cell facilitating campus recruitment, internships, resume building and interview preparation.

Future-Ready

Commerce graduates the AI economy is hiring

Our Advantages

Why Choose Our B.Com Artificial Intelligence Programme?

First-of-its-kind Hybrid Learning Framework

A rare programme that genuinely blends accounting, taxation, finance with AI, ML and analytics — not a bolt-on.

Hands-on Tool Exposure

Python, SQL, Power BI, Tableau, Tally, RPA and ML libraries — taught through labs and capstone projects.

Two Industry Internships

Structured internships with FinTech firms, audit houses, and corporate finance teams — you graduate with real CV-ready experience.

Expert, Interdisciplinary Faculty

Learn from commerce faculty with industry exposure alongside AI / Data Science specialists — one programme, two worlds.

Higher Studies & Certification Ready

A strong foundation for MBA (Analytics), M.Sc. Data Science, CA with analytics, CFA, and global certifications in AI and FinTech.

Got Questions?

Frequently Asked Questions

B.Com (AI) is a future-ready undergraduate programme that blends core commerce subjects — accounting, finance, taxation, auditing — with Artificial Intelligence, Machine Learning, and Business Analytics. Unlike a traditional B.Com, graduates learn to build AI-driven financial models, automate accounting workflows using RPA, and apply data science to business decisions.

No. The programme is open to students from any stream (Commerce, Science, or Arts) with 50% aggregate in 10+2. Programming, Python, and AI concepts are taught from the basics — no prior coding experience is required. A curious mind and willingness to learn is enough.

Graduates can pursue roles like AI Financial Analyst, Business Intelligence Analyst, FinTech Associate, Data Analyst, RPA Developer, Risk Analytics Executive, Algorithmic Trading Assistant, AI Audit Consultant, and Digital Transformation Executive. They can also pursue higher studies in MBA (Analytics), M.Sc. Data Science, or CA with an analytics specialisation.

Students get hands-on training in Python, SQL, Excel (advanced), Power BI, Tableau, Tally, machine learning libraries (scikit-learn, TensorFlow basics), RPA tools (UiPath / Automation Anywhere basics), and AI-powered accounting platforms. Capstone projects involve solving real business problems with AI.

Yes. The programme includes two structured internships — one in the second year focused on business analytics, and one in the final year with FinTech firms, accounting & audit firms, or corporate finance teams. This ensures graduates have real-world AI + Commerce exposure before they step into the job market.

B.Com (AI) is a proposed programme currently awaiting official approval from the affiliating university. Admissions will open only after the approval is received. In the meantime, you can register your interest via our Contact page and we will notify you as soon as applications open — no payment or commitment is required at this stage.

The official fee structure will be published once the programme receives university approval. Once admissions open, our admissions office will share the complete fee breakdown, scholarship details, and payment options. Register your interest via the Contact page to receive the fee structure as soon as it is finalised.

Interested in B.Com (Artificial Intelligence)?

This programme is proposed for the upcoming academic year and is currently awaiting official approval from the affiliating university. Register your interest today and we will notify you the moment admissions open.

No admission fee or commitment required at this stage — this is a free interest registration.