Business Analytics & Data Science — 5-Trimester Skill Pathway
The Business Analytics pathway at Maharaja Agrasen Business School (MABS) is designed to develop managers who can convert data into meaningful business insights and strategic decisions. Structured across five progressive trimesters, the pathway equips students with strong analytical foundations and advanced data-driven problem-solving capabilities. Students begin with data handling, Excel-based analysis and SQL, and advance through statistical analysis using R, Python-based modelling, and data visualization using industry-standard tools such as Tableau and Power BI. The curriculum emphasizes practical learning through labs, projects, real-world datasets, and applied business scenarios, ensuring graduates are prepared for analytics-driven roles across industries.
Why This Pathway Matters for PGDM Students
In today’s digital and data-intensive business environment, analytics is no longer confined to technical roles. It has become a core capability across management functions including marketing, finance, operations, human resources, consulting, and strategy. The Business Analytics pathway enables PGDM students to develop analytical thinking, interpret complex datasets, and support informed managerial decision-making in dynamic business contexts.
Key advantages of this pathway include:
Managerial decision-making with data: Students learn how analytics supports strategic planning, performance measurement, risk assessment, and competitive advantage.
Hands-on tool proficiency: Practical exposure to Excel, R, Python, Power BI, and Tableau ensures job-readiness and confidence in analytics environments.
Career relevance: The pathway is ideal for students aspiring to careers in business analytics, consulting, product management, operations analytics, risk analysis, and data-driven strategy roles.
What You Will Learn (Course Outcomes Across Five Trimesters)
Across the five Business Analytics courses, students progressively develop both technical and managerial analytics capabilities. Learning outcomes include:
Building strong foundations in data handling, cleaning, reporting, and analysis using Excel, Power Query, and SQL for business reporting.
Applying statistical concepts, hypothesis testing, and regression techniques using R to analyze business problems and interpret results.
Using Python for data manipulation, exploratory analysis, predictive modelling, and business-oriented analytical applications.
Designing interactive dashboards and compelling data stories using Tableau and Power BI, including the use of DAX for advanced analytics.
Developing, evaluating, and interpreting predictive models to support business forecasting, optimization, and decision-making in real-world scenarios.
How the Pathway Is Delivered
The Business Analytics pathway follows a highly practical and experiential teaching approach aligned with PGDM outcomes:
Trimester-wise lab sessions, hands-on exercises, and experiential courses that integrate analytics concepts with real business problems.
Individual and group projects, case-based assignments, and continuous assessments that strengthen analytical thinking and teamwork skills.
Exposure to industry-relevant datasets and problem statements to bridge the gap between classroom learning and workplace application.
Advanced & Elective Analytics Options
In addition to the core Business Analytics sequence, students may choose from advanced and specialized analytics electives offered in later trimesters, such as:
Statistics in Python
Data Visualization using Power BI, Tableau, and SQL
Machine Learning and Advanced Machine Learning
Time Series Forecasting
Natural Language Processing (NLP)
Consumer Analytics
Financial Risk Analytics
Project Management for Analytics
These electives allow students to tailor their analytics learning to specific industry domains and career goals.
Programme
| S. No. | Course Code | Course Name | Trimester | Area | Course Type | Credits | Teaching Hours | Syllabus (PDF) |
|---|---|---|---|---|---|---|---|---|
| 1 | BAS2601 | Business Analytics – I | I | BAS | Skill | 3 | 30 | Download PDF |
| 2 | BAS2602 | Business Analytics – II | II | BAS | Skill | 3 | 30 | Download PDF |
| 3 | BAS2603 | Business Analytics – III | III | BAS | Skill | 3 | 30 | Download PDF |
| 4 | BAS2704 | Business Analytics – IV | IV | O&DS / BAS | Skill | 3 | 30 | Download PDF |
| 5 | BAS2705 | Business Analytics – V | V | O&DS / BAS | Skill | 3 | 30 | Download PDF |
Contact us
Maharaja Agrasen Business School (MABS),Maharaja Agrasen Chowk,Sector 22, Rohini, Delhi- 110086
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