PGDM in Business Analytics with AI
Lead the Data-Driven Future with PGDM in Business Analytics with AI at CMT Business School
CMT Business School offers a cutting-edge PGDM specialization in Business Analytics with AI, designed to prepare students for the era of data-driven decision making. The program integrates business intelligence, data visualization, machine learning fundamentals, predictive analytics, and AI applications in business.
Students gain hands-on experience with analytical tools and real-time datasets to solve complex business problems.
Why Business Analytics?
- Over 35% of organizations globally have adopted AI in business functions such as finance, marketing, HR, and supply chain.
- AI-powered decision systems are now core to strategic planning, risk assessment, customer personalization, and revenue forecasting.
- India's Artificial Intelligence market is projected to exceed $7–8 billion by 2025, accelerating demand for AI-enabled analytics professionals.
- Professionals trained in Business Analytics with AI gain expertise in tools like data visualization, predictive modeling, automation platforms, and intelligent decision systems.
✨ Value Added Courses For You
4 Simple Steps to Join PGDM Business Analytics
Simple, transparent, and student-friendly. Apply online or visit campus directly.
Submit Application
Complete the online application form or visit the campus.
Admission Counseling
Interact with our admission team for program guidance.
Document Verification
Submit academic records and required documents.
Confirm Admission
Pay fees and secure your seat in the PGDM program.
PGDM Specialization in Business Analytics at CMT Business School
Build a future in data-driven business decision-making with a cutting-edge PGDM program designed to develop analytical thinkers and future-ready business analytics professionals.
Course Overview
CMT Business School offers a two-year full-time Post Graduate Diploma in Management (PGDM) with a specialization in Business Analytics.
This industry-focused program equips students with expertise in data analysis, machine learning, business intelligence, predictive modeling, data visualization, and analytical decision-making for solving real-world business challenges.
Learning Focus
- Business Data Analysis Techniques
- Statistical Modeling & Forecasting
- Machine Learning Applications
- Data Visualization Tools
- SQL, Python & R Programming
- Business Intelligence Systems
- Predictive Analytics
- Data Governance & Ethics
Program Highlights
Foundational Knowledge
Strong grounding in statistics, analytics, and business fundamentals.
Technical Proficiency
Hands-on learning with Python, R, SQL, Tableau, and Power BI tools.
Data Management Skills
Learn data collection, cleaning, governance, and compliance practices.
Analytical Problem Solving
Build predictive models and solve complex business challenges effectively.
Career Opportunities
Business Analyst • Data Analyst • BI Consultant • Data Scientist • Analytics Manager • Predictive Modeler • Research Analyst
Program Structure & Course Highlights
Designed to shape future business leaders through academic excellence, practical exposure, and industry-driven learning.
Course Details
- No. of Credits: 108
- No. of Instructional Hours: 1030
- Fee Structure: ₹1.5 Lakhs Per Annum
Conduct of Program
- Academic Year Starts from July
- Semester - 1 : 20 Weeks
- Project : 2 Weeks
- Semester - 2 : 18 Weeks
- Summer Internship : 10 Weeks
Lecture Schedule
- 5 Days a Week (Mon - Fri)
- 30 Hours Per Week
- 1st Session : 9:30 AM – 11:30 AM
- Break : 11:00 AM – 11:15 AM
- 2nd Session : 11:15 AM – 12:45 PM
- Lunch : 12:45 PM – 1:30 PM
- 3rd Session : 1:30 PM – 2:45 PM
- Break : 2:45 PM – 3:00 PM
- 4th Session : 3:00 PM – 4:30 PM
Practical Learning
- No. Of Weeks: 38
- No. Of Instructional Hours: 30
- No. Available Hours: 1140 Hours
Business Analytics Program Structure
A comprehensive semester-wise curriculum designed to build expertise in analytics, data science, machine learning, business intelligence, and strategic decision-making.
Semester - 1
26 CreditsManagement Theory & Practice
2Statistics for Managers
3Accounting for Managers
3Macro Economics
3Business Communication
2Principles of Marketing
3Financial Management
3IT for Managers
3Introduction to Retailing
2Viva-Voce & Industrial Visit
2Mini Project
-Semester - 2
25 CreditsOrganization Behaviour
2Human Resource Management
3Operations Management
3Introduction to FinTech
2Business Research Methods
2Business & Society
2Banking, Financial Services & Insurance
3Cost & Management Accounting
3Corporate Skills for Executives
2Viva-Voce & Industrial Visit
2Mini Project
-Semester - 3
25 CreditsBusiness Laws
2Business Policy & Strategic Management
3Entrepreneurship
3Elective 1
3Elective 2
3Elective 3
3Elective 4
3Elective 5
3Viva-Voce & Industrial Visit
2Semester - 4
24 CreditsCorporate Governance & Business Ethics
2International Business
3Application of Emerging Tech (AR, VR)
2Elective 6
3Elective 7
3Elective 8
3Elective 9
3Viva-Voce & Industrial Visit
2Campus to Community
3Electives
25 CreditsIntroduction to Business Analytics
3Data Warehouse and Analysis
3Introduction to Machine Learning
3Data Visualization & Descriptive Analytics
3Exploratory Data Analysis
3Risk Analytics
3Artificial Intelligence & Deep Learning
3Big Data Analytics
3Advanced ML Algorithms Using Python
3Web Analytics
3Job Opportunities in Business Analytics
Upon completion of the program, graduates are well-equipped to build successful careers across the rapidly expanding Financial Technology ecosystem.
Business Analyst
Analyze business processes, identify opportunities, and provide data-driven solutions to improve organizational performance.
Data Analyst
Collect, process, and interpret data to generate insights that support strategic business decisions.
Business Intelligence Specialist
Develop dashboards, reports, and BI solutions to help organizations monitor and optimize performance.
Machine Learning Executive
Build and implement machine learning models to automate processes and improve predictive capabilities.
Analytics Manager
Lead analytics teams and drive data-centric strategies to achieve business objectives and growth.
Data Scientist
Apply advanced statistical techniques, AI, and machine learning to solve complex business problems.
AI Business Consultant
Advise organizations on adopting AI technologies and integrating intelligent solutions into business operations.
Hear From Our Students & Future Business Leaders
Discover real experiences, success stories, and student journeys at CMT Business School through video testimonials and student feedback.
Frequently Asked Questions
Have questions about PGDM in Business Analytics at CMT? Find answers below.
PGDM Business Analytics focuses on data-driven decision-making, analytics, visualization, AI applications, and business intelligence.
Business Analyst, Data Analyst, Analytics Consultant, BI Specialist, and Strategy Analyst.
No. Students are introduced to analytics concepts and tools from the fundamentals.
Students gain exposure to business intelligence, data visualization, analytics platforms, and AI-driven tools.
Yes. Industry projects, internships, and practical analytics assignments are included.
IT, Banking, Healthcare, Retail, Manufacturing, Consulting, and E-Commerce sectors.
Yes. Students receive placement preparation, recruiter interaction, and career guidance.
Apply online through the admission form or visit CMT Business School for admission support.
