PGDM in Business Analytics
COURSE OVERVIEW
Derive insights to make informed business decisions and craft innovative business solutions
With the exponential rate at which Data is getting generated every day across Industries, it has proven to be a treasure trove for arriving at powerful insights that can be game-changing for effective business decision making. The 2-year specialised PGDM in Business Analytics Program offered at N. L. Dalmia is designed to enhance Data Manipulation and Analytical Thinking skills along with Business point of view to empower students with a unique application-centric approach to data analytics.
As per recent studies, the data analytics industry is expected to create over 11 million jobs by 2026 and increase investments in Al and machine learning by 33.49% in 2022. India's data analytics industry will be the driving force for the growth of Industry 4.0, giving rise to significant job opportunities. The course is aimed to help students develop essential capabilities and skills to build exciting careers in this ever-evolving world of Data Analytics.
COURSE CURRICULUM
| Core Courses | Credits |
|---|---|
| Marketing Management | 3 |
| Quantitative Techniques - I | 3 |
| Financial Accounting and Control | 3 |
| Managerial Economics | 3 |
| Principles and Practices of Management | |
| Business Analytics | |
| Data Management | 3 |
| * Project Work - 101 | 3 |
| TOTAL CREDIT | 21 |
| Core Courses | Credits |
|---|---|
| Operations Management | 3 |
| Quantitative Techniques - II | 3 |
| Cost & Management Accounting | 3 |
| Business Analytics | |
| Time Series & Forecasting | 3 |
| Analytics at Work | 3 |
| Python for Data Analysis | 3 |
| * Project Work - 201 | 3 |
| TOTAL CREDIT | 21 |
| Core Courses | Credits |
|---|---|
| Business Communication | 3 |
| Corporate Finance | 3 |
| Business Analytics | |
| Advanced Multivariate Techniques | 3 |
| Storytelling with Data | 3 |
| Consumer Data Analytics | 3 |
| Tools & Techniques for Data Analysis and Modelling | 3 |
| * Project Work - 301 | 3 |
| TOTAL CREDIT | 21 |
| Core Courses | Credits |
|---|---|
| Summer Project | 12 |
| Core Courses | Credits |
|---|---|
| Strategic Management | 3 |
| Design Thinking | 3 |
| Electives (any two) | |
| Integrated Marketing Communication | 3 |
| Financial Aspects of Marketing | 3 |
| Investment Analysis and Management | 3 |
| Rural Banking and Micro Finance | 3 |
| Marketing of Financial Products and services | 3 |
| Digitial Marketing | 3 |
| Sports, Luxury and Political Marketing | 3 |
| Supply Chain Management | 3 |
| Business Analytics | |
| AI/ML Techniques | 3 |
| * Project work - 501 | 3 |
| Electives (any one) | |
| Programming in Python | 3 |
| Big DataTech and Its Applications | 3 |
| TOTAL CREDIT | 21 |
| Core Courses | Credits |
|---|---|
| Project Management | 3 |
| Organization Behaviour | 3 |
| Electives (any one) | |
| Legal aspect of Business | 3 |
| Entrepreneurship Management | 3 |
| Managing Diversity & Inclusion | 3 |
| Talent Management (Retention & Engagement) | 3 |
| HR Audit & Scorecard | 3 |
| Business Analytics | |
| * Project work - 601 | 3 |
| Electives (any three) | |
| Financial & Risk Analytics | 3 |
| Demand Management and Price Optimization | 3 |
| HR Analytics | 3 |
| Health Care Analytics | 3 |
| Insurance Analytics | 3 |
| Retail Analytics | 3 |
| Sports Analytics | 3 |
| TOTAL CREDIT | 21 |
KEY HIGHLIGHTS
OUR APPROACH
At N. L. Dalmia, we believe in giving students the upper edge and empowering them with practical knowledge in analytical thinking through continual Business Analytics Research, along with industry-relevant training, curriculum and infrastructure. We implement the case method as the chief pedagogical tool to bring real-world business scenarios to the classroom and provide compelling opportunities amidst challenging settings.
- Case discussions, Project Work and Simulations
- Open-ended discussions, Assessment & Evaluation of Student Learning
- Detailed study plans including globally benchmarked additional reading materials like HBR cases and uniquely designed assignments to promote practical rigor in every subject
- Fourth Trimester (including Summers) for an industry-relevant consulting project
ELIGIBILITY
- Bachelor's degree in any discipline with a minimum passing percentage of 55% from an UGC approved University (Applicants while applying to this program can be in their last semester of their Bachelor's Degree program)
- Applicant should give any one of the Aptitude test: CAT/XAT/CMAT/MH-CET/MAT/ATMA/N.L. Dalmia Aptitude Test
- Personal Interview
- Academic Track Record (Xth, XIIth, Graduation)
Who is this program for?
New-age business analytics subjects covered in the program
- Data Management
- Time Series & Forecasting
- Python for Data Analytics
- Advanced Multivariable Techniques
- Tools and Techniques for Data Analytics and Modelling
- Machine Learning
- Consumer Data Analytics
Specializations
Handle a team with a core emphasis on the Business Analytics domain. Some vital skillsets to become a Business Analyst manager are communication, leadership, team management and strategic thinking.
Handle business interpretation and analytics in generating actionable information from data as an individual contributor. Requires good understanding of technical tools, data analytics foundation methods, data gathering and processing, for having a big picture of insights.
Help in comprehending data models to support business decisions. Strong background in mathematics, science, and computer science.
Show a deeper understanding of math and statistics, they have a particular interest towards reading statistics and are proficient in coding. Show interest in the technical aspect of business analytics and modifying/building new algorithms.
Application Areas and Industries
The thoughtfully curated course helps students develop vital Data Analytics Skills coupled with Management Skills, making them equipped to apply their knowledge across multiple industries. The sky is the limit when it comes to using one’s creativity with regards to how they can leverage these skills in various fields.
Average expected range of stipened and salary
INR 15,000-25,000 average stipend per month for internships. Salary range of INR 08-12 lakhs per annum for full-time.
Program Head - Business Analytics
Career Highlights
More than two decades of experience in Business Analytics Consulting and Education with proven track record of leading successful consulting practice, analytics center, implement projects, develop data science programs and managing revenue.
Areas of Expertise
Extensive experience in evaluating organizational maturity and readiness to deploy and use Business Analytics. Mr. Desai specializes in assessing the Business Analytics infrastructure, resources and skills, internal processes and culture of organizations, and evaluating their alignment and capabilities to support their organization strategies and objectives. He also teaches and mentors students of Statistics and Management programs that he has co-developed.
Consulting Experience
Mr. Desai leads discussion and workshop with executive level management to implement business objectives by steering organization’s current capabilities and readiness. He has led consulting projects and build roadmaps to implement the desired strategies and evolve organizations towards a higher maturity level. Mr. Desai has implemented solutions addressing analytical requirements in Financial Services and Telecommunications.
Prior Experience
Prior to starting with N.L Dalmia, he was setting-up Analytics Center of Excellence at NMIMS Deemed to-be University and develop Management and Statistics programs. Mr. Desai held P&L responsibility with SAS Institute India Pvt. Ltd., analyst positions with leading firms like GE Capital, where he applied statistics and technologies to support data driven decisioning.
Degrees and Credentials
Amul Desai
Specializations
Handle a team with a core emphasis on the Business Analytics domain. Some vital skillsets to become a Business Analyst manager are communication, leadership, team management and strategic thinking.
Handle business interpretation and analytics in generating actionable information from data as an individual contributor. Requires good understanding of technical tools, data analytics foundation methods, data gathering and processing, for having a big picture of insights.
Help in comprehending data models to support business decisions. Strong background in mathematics, science, and computer science.
Show a deeper understanding of math and statistics, they have a particular interest towards reading statistics and are proficient in coding. Show interest in the technical aspect of business analytics and modifying/building new algorithms.
Application Areas and Industries
The thoughtfully curated course helps students develop vital Data Analytics Skills coupled with Management Skills, making them equipped to apply their knowledge across multiple industries. The sky is the limit when it comes to using one’s creativity with regards to how they can leverage these skills in various fields.
Average expected range of stipened and salary
INR 15,000-25,000 average stipend per month for internships. Salary range of INR 08-12 lakhs per annum for full-time.
Program Head - Business Analytics
Amul Desai
Career Highlights
More than two decades of experience in Business Analytics Consulting and Education with proven track record of leading successful consulting practice, analytics center, implement projects, develop data science programs and managing revenue.
Areas of Expertise
Extensive experience in evaluating organizational maturity and readiness to deploy and use Business Analytics. Mr. Desai specializes in assessing the Business Analytics infrastructure, resources and skills, internal processes and culture of organizations, and evaluating their alignment and capabilities to support their organization strategies and objectives. He also teaches and mentors students of Statistics and Management programs that he has co-developed.
Consulting Experience
Mr. Desai leads discussion and workshop with executive level management to implement business objectives by steering organization’s current capabilities and readiness. He has led consulting projects and build roadmaps to implement the desired strategies and evolve organizations towards a higher maturity level. Mr. Desai has implemented solutions addressing analytical requirements in Financial Services and Telecommunications.
Prior Experience
Prior to starting with N.L Dalmia, he was setting-up Analytics Center of Excellence at NMIMS Deemed to-be University and develop Management and Statistics programs. Mr. Desai held P&L responsibility with SAS Institute India Pvt. Ltd., analyst positions with leading firms like GE Capital, where he applied statistics and technologies to support data driven decisioning.
Degrees and Credentials
PROGRAM FEE
Admission Process
The application for PGDM is online. Please see the Online Selection Process FAQ below.