In today’s era of digital disruption and data dominance, Artificial Intelligence (AI) and Data Science have emerged as two of the most transformative forces shaping the global economy. Businesses now demand professionals who not only understand traditional management principles but also possess advanced technical proficiency in AI and data-driven decision-making. Rising to this demand, Aditya School of Business Management (ASBM) offers a cutting-edge PGDM in Artificial Intelligence & Data Science, preparing students for the future of intelligent business.
Located in Mumbai the hub of finance, technology, and innovation ASBM has gained recognition as one of the best management colleges in Mumbai, and this specialized program is a testament to its forward-thinking academic approach.
Overview of the PGDM in AI & Data Science
The PGDM in Artificial Intelligence & Data Science is a two-year full-time postgraduate program designed to integrate AI technologies, machine learning, analytics, and business strategy into a single comprehensive curriculum. The course focuses on building managerial acumen along with technical capabilities to analyze data, predict outcomes, automate decisions, and create AI-driven solutions.
Program Objectives
- To develop leaders with a dual understanding of business management and data science.
- To provide hands-on experience in data analysis, machine learning, and AI tools.
- To enable students to build models for real-world business problems using data-driven insights.
- To nurture ethical and strategic thinking in applying AI to organizational growth.
Program Structure
The PGDM in AI & Data Science at ASBM is structured into four semesters over two years, with a mix of foundational courses, technical training, hands-on projects, and specializations.
Year 1: Foundation in Business & Data Science
Semester I: Core Business Foundations
- Principles of Management
- Financial & Management Accounting
- Business Statistics
- Organizational Behavior
- Marketing Management
- Managerial Economics
- Business Communication
Semester II: Introduction to Data Science & Analytics
- Introduction to Artificial Intelligence
- Python Programming for Data Science
- Data Visualization & Storytelling
- Business Analytics Fundamentals
- Operations Management
- Data-Driven Decision Making
Additional Features:
- Soft skills training
- Case study analysis
- Mini-projects using real datasets
Summer Internship Program (SIP)
At the end of Year 1, students undertake an 8–10 week internship in reputed organizations, working on real-time AI or analytics-driven projects.
Internship Domains Include:
- Predictive Analytics
- AI-based CRM
- Financial Risk Modeling
- Retail Analytics
- Supply Chain Optimization
Year 2: Specialization & Advanced AI Applications
Semester III: Technical Mastery & Specialization
- Machine Learning Techniques
- Big Data Management
- Natural Language Processing (NLP)
- AI in Business Strategy
- Cloud Computing & Data Infrastructure
- Deep Learning Models
Semester IV: Integration & Application
- AI Ethics & Governance
- Capstone Project in AI & Data Science
- Industry-led Electives
- Entrepreneurship in AI Startups
- Emerging Technologies: Blockchain, IoT, Edge AI
Capstone Project
Each student works on a Capstone Project, applying AI and data science to solve a complex business problem. These projects are guided by faculty and industry mentors and culminate in a formal presentation.
Example Projects:
- Predictive Maintenance using IoT & ML
- Customer Churn Prediction for Telecom
- AI-Powered Resume Screening System
- Demand Forecasting for FMCG Brands
Value-Added Certifications
ASBM’s PGDM in AI & Data Science includes industry-recognized certifications such as:
- Python for Data Science (IBM or Google)
- Tableau & Power BI
- SQL for Data Management
- TensorFlow Developer Certificate
- AWS Cloud Practitioner
- Google AI Foundations
These certifications are embedded in the curriculum and provide a significant edge in placements.
Skill Development & Tech Labs
ASBM has dedicated AI & Analytics Labs where students learn:
- Model development with Jupyter Notebooks
- Data cleaning and preprocessing
- Neural network design
- AI tools like TensorFlow, Keras, Scikit-Learn, and Hadoop
- Business Intelligence dashboards with Tableau & Power BI
Soft skills, resume building, public speaking, and mock interviews are also integrated into the program.
Career Opportunities
Graduates from the PGDM in AI & Data Science program can explore diverse roles, including:
- Business Data Analyst
- AI Product Manager
- Data Scientist
- Machine Learning Engineer
- AI Consultant
- Business Intelligence Analyst
- Risk Analyst
- AI Strategist
Top Recruiters and Industry Connect
ASBM has strong industry connections and a dedicated placement cell. Top recruiters for AI & Data Science students include:
- TCS
- Infosys
- Capgemini
- Deloitte
- Fractal Analytics
- Accenture
- Cognizant
- HDFC Bank
- L&T Infotech
- Startups in FinTech, EdTech, and HealthTech
Regular guest lectures, industry webinars, and CXO interactions ensure students stay updated with the latest trends in AI and data strategy.
Why Choose ASBM for AI & Data Science?
- Dual Focus: Combines AI technical skills with business leadership
- Experiential Learning: Internships, capstone, and live projects
- Mentorship Model: Corporate and faculty mentorship
- Location Advantage: Situated in Mumbai – India’s AI & fintech hub
- Proven Placement Record: Consistent placement success in top MNCs
Conclusion
The PGDM in Artificial Intelligence & Data Science at Aditya School of Business Management is not just a program it’s a transformational journey that equips students with future-ready skills. With a dynamic curriculum, industry integration, and value-added certifications, ASBM empowers students to lead AI-driven innovations in the business world.
If you’re looking for the perfect blend of AI technology and business acumen, ASBM is your launchpad to a successful and meaningful career in the digital age.
Enroll in the PGDM AI & Data Science Program at ASBM — and become a data-smart leader of tomorrow.
