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Pioneer the future of business with our cutting-edge MBA in Data Science and AI program.

This specialized 2-year program combines traditional business management principles with advanced analytics, machine learning, and artificial intelligence to prepare leaders for the data-driven economy.

Designed for professionals ready to lead digital transformation initiatives across industries.

Duration
2 Years
Total of 4 semesters
Eligibility
Graduation
In Any discipline
(STEM background preferred)
Mode
100% Online
With Hands-on Lab Sessions
Accreditation
UGC Recognized
& AICTE Approved
Industry 4.0 Focus
Evening & weekend
Classes for working professionals
Global Curriculum
Industry-aligned curriculum
With International standards

Why Choose MBA in
Data Science and AI?

Future-Ready
Skills

Master both business strategy and technical execution

Lead AI transformation projects in organizations

Bridge the gap between technical teams and business stakeholders

Develop ethical AI frameworks and governance models

Global Recognition

High-Demand
Specialization

Data Science roles growing 35% annually

Average salary premium of 60-80% over general MBA

Critical shortage of AI-business hybrid professionals

Cross-industry applicability and opportunities

Featured Programs

Technology
Leadership

Hands-on experience with cutting-edge AI tools

Real-world project implementation

Industry partnerships with tech leaders

Access to premium software and platforms

For High-School Passouts
Global Recognition Featured Programs For High-School Passouts

Course Structure

Semester 1

Business Core

Business Core

subject

Strategic Management for Digital Age

subject

Marketing in the Data Economy

subject

Organizational Behavior & Change Management

subject

Financial Management with Analytics

subject

Operations Management with AI

Technical Foundation

Technical Foundation Advanced Core & Analytics

subject

Statistics and Probability for Business

subject

Database Management and SQL

subject

Data Visualization and Storytelling

subject

Python Programming for Business Analytics

subject

Introduction to Machine Learning

Semester 2

Business Analytics

Business AnalyticsSpecialization Focus

subject

Predictive Analytics for Business Decisions

subject

Financial Risk Modeling

subject

Marketing Mix Modeling

subject

Customer Analytics and Segmentation

subject

Supply Chain Analytics

AI & Machine Learning

AI & Machine Learning Capstone & Integration

subject

Deep Learning and Neural Networks

subject

Computer Vision Applications

subject

AI Ethics and Governance

subject

Natural Language Processing for Business

subject

Reinforcement Learning

Semester 3

Industry Applications

Industry Applications

subject

AI in Financial Services (Fintech, Banking)

subject

Retail and E-commerce Intelligence

subject

Smart Cities and Government AI

subject

Healthcare Analytics and AI

subject

Manufacturing and Industry 4.0

Strategic Management

Strategic Management Capstone & Integration

subject

Digital Transformation Strategy

subject

Data Monetization Strategies

subject

Global AI Trends and Implications

subject

AI Implementation and Change Management

subject

Innovation Management with AI

Semester 4

Capstone Project Options

Capstone Project Options

subject

AI Strategy Consulting Project

subject

Corporate AI Transformation

subject

Research and Development Initiative

subject

Start-up Product Development

subject

Social Impact AI Project

Advanced Specializations

Advanced Specializations Capstone & Integration

subject

Generative AI and Large Language Models

subject

Edge AI and IoT Integration

subject

AI for Sustainability and ESG

subject

Quantum Machine Learning

subject

Autonomous Systems and Robotics

Technical Skills Development

Programming and Tools

Finance & Accounting

Languages

Python
R
SQL
JavaScript

Finance & Accounting

Machine Learning

Scikit-learn
TensorFlow
PyTorch

Finance & Accounting

Big Data

Hadoop
Spark
Kafka

Finance & Accounting

Cloud Platforms

AWS
Azure
Google Cloud

Finance & Accounting

Visualization

Tableau
PowerBI
D3.js

Business Intelligence Stack

Advanced Excel and VBA

Business process automation

Database design and optimization

Statistical software (SPSS, SAS)

API development and integration

Emerging Technologies

Blockchain and smart contracts

Internet of Things (IoT)

5G and edge computing

Augmented Reality/Virtual Reality

Quantum computing basics

Learning
Methodology

Project-Based
Learning

Industry Projects: Live consulting assignments with data science challenges

Hackathons: Monthly AI/ML competitions and challenges

Case Competitions: National and international business case contests

Startup Incubation: AI venture development and funding

Experiential
Learning Components

Virtual Labs: Cloud-based development environments

Industry Internships: 8-12 week specialized placements

Global Conferences: Virtual participation in major AI conferences

Research Collaboration: Work with faculty on cutting-edge research

Blended
Enhanced Learning

Live Interactive Sessions: Real-time doubt resolution and discussions

Hands-on Lab Sessions: Practical implementation and coding

Self-paced Learning: Recorded lectures and tutorials

Peer Collaboration: Group projects and study circles

Assessment &
Evaluation

Comprehensive
Assessment Model

Technical Projects: 40% - Hands-on coding and implementation

Business Case Analysis: 25% - Strategic thinking and presentation

Examinations: 20% - Theoretical knowledge and concepts

Industry Assignments: 15% - Real-world problem solving

Global Recognition

Capstone
Requirements

Major AI/ML project with business impact

Technical documentation and code repository

Business case presentation to industry panel

Peer review and collaborative assessment

Featured Programs
Global Recognition Featured Programs

Faculty &
Industry Expertise

Expert Faculty Team

PhD holders in Computer Science, Statistics, and Business

Industry veterans from FAANG companies

Startup founders with AI product experience

International faculty from top global universities

Industry Partnership Ecosystem

Technology Partners: Microsoft, IBM, Google, Amazon Web Services

Consulting Partners: McKinsey Digital, BCG Gamma, Accenture Applied Intelligence

Startup Ecosystem: Y Combinator, Sequoia Capital portfolio companies

Government Initiatives: Digital India, AI for All programs

Career
Opportunities

Emerging Leadership Roles

Chief Data Officer (CDO)

AI Strategy Director

Digital Transformation Leader

Head of Analytics and Insights

VP of Data Science

Specialized Career Paths

Data Science Manager

AI Product Manager

Machine Learning Engineer (Leadership)

Analytics Consultant (Senior)

Business Intelligence Director

Entrepreneurship Opportunities

AI Startup Founder

SaaS Product Developer

Consulting Firm Founder

Industry-specific AI Solutions

Social Impact AI Ventures

Industry Sectors

Technology and Software

Financial Services and Fintech

Healthcare and Life Sciences

Retail and E-commerce

Manufacturing and Automotive

Government and Public Sector

Placement Support Services

Career Transition Assistance

Role change and industry switch support

Promotion Support

Current employer advancement strategies

Entrepreneurship Incubation

Start-up mentoring and funding connections

International Opportunities

Global role placements and networking

Industry Partnerships
& Internships

Corporate
Learning Partners

Leading Fortune 500 companies

Fast-growing unicorn startups

Government organizations

Non-profit sector leaders

International corporations

Fee Structure
& Financial Aid

Actual Fee ₹25,000(per sem)
Fee with 20% Student Grant (Valid till 10th Sep ’25) ₹20,400 (per sem)
Fee with 20% Student Grant and No Cost EMI (Valid till 10th Sep ’25) ₹5100 per month (in case of 24 month EMI)
Fee with 20% Student Grant + 10% extra waiver in case paid in lumpsum (Valid till 10th Sep ’25) ₹1,11,360
The above fee is applicable to International Applicants of all countries except Sri Lanka, Bhutan, Nepal and Bangladesh.
The above fee is inclusive of an examination fee of US$ 100 per semester and exclusive of the initial registration fee of US$ 10 (non-refundable).

Return on Investment

1.

Average salary increase: 40-60% post-MBA

2.

Career advancement within 18 months

3.

Leadership role transitions

4.

Entrepreneurship success stories

Scholarships

Merit-based Scholarships

Academic excellence scholarships(up to 40%)

Merit-based Scholarships

Corporate Sponsorship: Employer funding programs

Merit-based Scholarships

Alumni Scholarships: Need-based assistance

Merit-based Scholarships

Women Leadership Scholarships: Special programs for women

Technology
& Infrastructure

Advanced
Digital Platform

Cloud-based learning management system

High-definition video streaming

Interactive whiteboards and breakout rooms

Mobile
responsive design

24/7
technical support

Business
Software Access

Microsoft
Office 365 Suite

Tableau for data visualization

SAP
business simulation

Bloomberg
Terminal access

Various industry specific tools

24/7 Student Support

Academic Excellence
Support

Personal academic advisors

Study groups and peer learning circles

Library and research support

Writing center for assignments

Math and statistics help desk

24/7 Student Support

Personal
Developement

Executive presence coaching

Public speaking training

Cross-cultural communication

Negotiation skills workshop

Time management and productivity

24/7 Student Support

Academic Excellence Support

Personal academic advisors

Study groups and peer learning circles

Library and research support

Writing center for assignments

Math and statistics help desk

24/7 Student Support

Personal
Developement

Executive presence coaching

Public speaking training

Cross-cultural communication

Negotiation skills workshop

Time management and productivity

Admission Process

Eligibility Criteria

Bachelor's degree (any discipline) with minimum 50% marks

Minimum 2 years of work experience preferred

English proficiency (IELTS/TOEFL not mandatory for Indian students)

Laptop/desktop with reliable internet connection

Selection
Process

1

Online
Application

2

Written test + Group
Discussion

3

Personal interview
(video call)

4

Work Experience
Evaluation

5

Final
Selection

Required Documents

Required Document

Graduate degree certificates and transcripts

Required Document

Work experience certificates

Required Document

Updated resume/CV

Required Document

Statement of purpose

Required Document

Two professional references

Required Document

Passport-size photographs

Required Document

Government issued ID proof

Program Schedule & Flexibility

Weekend Format

Saturday & Sunday

9 AM - 1 PM

Weekend Format

Tuesday & Thursday

7 PM - 9 PM

Intensive Modules:
Monthly weekend intensives

Global Sessions: Occasional early morning sessions for international faculty

Attendance Requirement

75% attendance mandatory for semester progression

Make-up sessions for unavoidable absences

Recorded session access for review

Flexible examination scheduling

Success Stories & Alumni Network

Alumni Achievements

85% received promotions within 24 months
40% average salary increase post-graduation
200% entrepreneurs from alumni network
Leadership positions in Fortune 500 companies
Successful career transitions across industries

Global Alumni Network

10,000+ MBA alumni worldwide
Industry-specific alumni chapters
Mentorship program connections
Annual alumni conferences
Professional networking events

Contact
Information

Accelerate your career trajectory with Mittal School of Business Online MBA -

Where executive education meets career transformation.

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