School of Innovation and Management
PGDM in Business Analytics
Build and manage a successful business or career using data management
Transforming Data into Business Intelligence
The PGDM in Business Analytics at the School of Innovation and Management (SoIM) is designed to equip future leaders with the ability to analyze complex data, uncover business insights, and drive strategic decision-making. This program blends data science, statistical modeling, AI, and business strategy, preparing professionals to thrive in data-driven industries.
Why Business Analytics?
In today’s digital economy, data is the key to competitive advantage. Businesses across industries—finance, healthcare, retail, and technology—rely on analytics to optimize operations, enhance customer experiences, and fuel innovation. This program empowers students with the skills to harness big data, predictive analytics, and machine learning for business growth.
This program is ideal for individuals who:
- Have a strong analytical mindset and problem-solving skills
- Are proficient in data interpretation and statistical tools
- Possess business acumen and strategic thinking
- Aspire for roles in data analytics, business intelligence, and consulting
eligibility
- A minimum of 55% in graduation
- A minimum of 2 years of work experience (preferred)
- A candidate cutoff in any one of the National Entrance Exam like CAT, ICET, XAT, GMAT, and NMAT or 50% and above in the entrance exam conducted by SoIM
Career Opportunities
Graduates can explore high-impact careers in data science, business intelligence, market research, risk analytics, and digital transformation, with opportunities in leading global firms and tech-driven enterprises.
With cutting-edge curriculum, industry collaborations, and hands-on learning, SoIM’s PGDM in Business Analytics equips professionals to lead in the age of AI and big data.
Would you like to highlight specific tools, certifications, or industry partnerships?
Thorough and Industry-Relevant Learning Pathway
This rigorous and well-rounded program equips students with the skills needed to excel in the evolving business landscape. With a curriculum tailored to industry trends, students gain a competitive edge in analytics, preparing them for real-world challenges.
Expert Faculty and Industry Collaboration
Real-World Application Through Capstone Projects
Capstone projects provide students with hands-on experience, enabling them to apply analytical skills to real-world business scenarios. This fosters practical problem-solving abilities and industry readiness.
Driving Innovation Through Business Analytics
Global Exposure and Industry Alignment
Through exchange programs and cross-cultural experiences, students gain international exposure, enhancing their understanding of global market trends and making them adaptable in diverse business environments.
Internships & Placement Support
Internships with top companies offer hands-on experience, bridging the gap between classroom learning and industry applications. These opportunities help students build valuable connections and gain practical insights, making them job-ready. Strong corporate partnerships offer career opportunities in top consulting, tech, and financial firms.
| Subject Code | Trimester - I Total Courses: 7 (Core) | Credits (21) |
|---|---|---|
| 101 | Marketing Management | 3 |
| 102 | Organizational Behaviour | 3 |
| 103 | Financial Reporting & Analysis | 3 |
| 104 | Applied Economics for Business Decisions | 3 |
| 105 | Advance Excel (Certification) | 3 |
| 106 | Business Communication - I | 3 |
| 107 | Business Statistics for Managers | 3 |
| Subject Code | Trimester - II Total Courses: 7 (Core) | Credits (21) |
|---|---|---|
| 201 | Banking & Financial Services | 3 |
| 202 | Corporate Finance | 3 |
| 203 | Business Analytics with Python | 3 |
| 204 | Business Research Methods | 3 |
| 205 | Ethics, Responsibility, and Sustainability | 3 |
| 206 | Business Communication - II | 3 |
| 207BA | Human Resource Management | 3 |
| Subject Code | Trimester - III Total Courses: 6 (Core) |
Credits (18) |
|---|---|---|
| 301 | Data Visualization with Tableau (Certification) | 3 |
| 302 | Data Management and SQL | 3 |
| 303 | Corporate and Business Law | 3 |
| 304BA | Innovative Design Thinking for Entrepreneurship & Business Development | 3 |
| 305BA | Operations Management & Strategy | 3 |
| 306BA | Machine Learning in Business | 3 |
| Subject Code | Trimester - IV Total Courses: 7 (1 Core + 6 Electives) |
Credits (21) |
|---|---|---|
| 401 | Project Management (Certification) | 3 |
| 402BA-MM | Services & Retail Marketing | 3 |
| 403BA-MM | Digital Marketing & Analytics | 3 |
| 404BA-MM | International Marketing | 3 |
| 405BA-HR | HR Metrics and Dashboards | 3 |
| 406BA-HR | Compensation and Rewards Management through Analytics | 3 |
| 407BA-HR | Negotiation & Conflict Management | 3 |
| 408FS | Fundamental Analysis | 3 |
| 409FS | Cryptocurrency, Blockchain and Data Science | 3 |
| 410FS | Portfolio Management & Mutual Funds (NISM Series V A: Mutual Funds) | 3 |
| 411BA-OM | Logistics & SCM | 3 |
| 412BA-OM | Supply Chain Analytics | 3 |
| 413BA-OM | Quality Toolkit for Managers | 3 |
| Subject Code | Trimester - V Total Courses: 6 (1 Core + 5 Electives) |
Credits (18) |
|---|---|---|
| 501 | Digital & Text Analytics | 3 |
| 502BA-MM | Consumer Psychology & Data Privacy | 3 |
| 503BA-MM | Marketing Analytics for Decision Making | 3 |
| 504BA-MM | Product & Brand Management | 3 |
| 505BA-HR | Employee Performance Analytics | 3 |
| 506BA-HR | Strategic Human Resource Management | 3 |
| 507BA-HR | Emotional Intelligence and Managerial Effectiveness | 3 |
| 508FS | Financial Analytics using R/Python | 3 |
| 509FS | AI and Machine Learning for BFS | 3 |
| 510FS | Financial Modelling | 3 |
| 511BA-OM | Service Operations Management | 3 |
| 512BA-OM | Operations Analytics | 3 |
| 513BA-OM | Pricing & Revenue Management | 3 |
| Subject Code | Trimester - II Total Courses: 7 (Core) |
Credits (21) |
|---|---|---|
| 201 | Banking & Financial Services | 3 |
| 202 | Corporate Finance | 3 |
| 203 | Business Analytics with Python | 3 |
| 204 | Business Research Methods | 3 |
| 205 | Ethics, Responsibility, and Sustainability | 3 |
| 206 | Business Communication - II | 3 |
| 207BA | Human Resource Management | 3 |
| Component | Credits |
|---|---|
| Total Course Credits | 108 |
| Summer Internship | 6 |
| ERS Project and / or Conference Presentation | 3 |
| Graduation Project (Project Thesis) | 3 |
| Total Program Credits | 120 |
The International Immersion Program under the PGDM in Business Analytics at the School of Innovation and Management (SoIM) is designed to provide students with global exposure to cutting-edge analytics practices, emerging technologies, and international business strategies. This program bridges academia and industry, equipping future analytics professionals with a global mindset and cross-cultural business acumen.