M.Sc
Data and Business Analytics
Overview

MSc. in Data and Business Administration bridges the gap between data science and strategic business management, offering a uniquely integrated approach to developing data-driven leaders. This interdisciplinary program combines the power of data analytics, business intelligence, and statistical modeling with a solid understanding of modern business operations. The curriculum includes topics such as data visualization, predictive analytics, financial modeling, operations research, digital marketing analytics, and decision sciences, empowering students to make informed business decisions based on data. Using tools like Python, R, SQL, Excel, Tableau, and cloud-based platforms, students work on real-time business problems, develop dashboards, and interpret large datasets to uncover actionable insights.

The program is ideal for graduates from business, economics, IT, or engineering backgrounds who wish to work at the intersection of analytics and management. Career opportunities span across diverse industries, with job roles such as Business Analyst, Data Consultant, BI Specialist, Strategy Analyst, and Data-Driven Project Manager. With the growing global emphasis on data-centric decision-making, graduates are highly valued in sectors like finance, retail, logistics, consulting, and technology.

Curriculum Structure
S. No. Course Work - Subject Area Break Down of Credits
1 Data and Business Analytics Core 19
2 Data and Business Analytics Electives 12
3 Skill Enhancement Core 27
4 Value Added Core 2
5 Capstone Project/Dissertation 20
Total Credit 80
First Semester
Course Codes Courses L T P Credits Type
25M31CA111 Business Analytics using R 2 0 0 2 SEC
25M35CA111 Business Analytics using R (Lab) 0 0 2 2 SEC
25M31CA112 Business Statistics using Excel 2 0 0 2 SEC
25M35CA112 Business Statistics using Excel (Lab) 0 0 2 2 SEC
25M31CA113 Data Mining Tools & Techniques 3 1 0 4 PCC
25M31CA114 Design Thinking and Innovation 2 0 0 2 PCC
25M31CA115 Business Communication 3 0 0 3 SEC
25M31CA116 Introduction to Data Science 3 0 0 3 PCC
Total Credits 20  
Second Semester
Course Codes Courses L T P Credits Type
XXXXXXXXX Research Methods in Business 3 1 0 4 PCC
XXXXXXXXX Big Data and Data Visualization 1 0 0 1 SEC
XXXXXXXXX Big Data and Data Visualization (Lab) 0 0 2 2 SEC
XXXXXXXXX Data Management using SQL 2 0 0 2 SEC
XXXXXXXXX Data Management using SQL (Lab) 0 0 2 2 SEC
XXXXXXXXX Digital Technology and Strategic Management 3 0 0 3 PCC
XXXXXXXXX Elective 1 3 0 0 3 PEC
XXXXXXXXX Elective 2 3 0 0 3 PEC
Total Credits 20  
Third Semester
Course Codes Courses L T P Credits Type
XXXXXXXXX Data Analytics using Python 2 0 0 2 SEC
XXXXXXXXX Data Analytics using Python (Lab) 0 0 1 1 SEC
XXXXXXXXX Predictive Analytics 2 1 0 3 PCC
XXXXXXXXX Employability Skills 2 0 0 2 VAC
XXXXXXXXX Elective 3 3 0 0 3 PEC
XXXXXXXXX Elective 4 3 0 0 3 PEC
XXXXXXXXX Corporate Internship 6 SEC
Total Credits 20  
Fourth Semester
Course Codes Courses L T P Credits Type
XXXXXXXXX Capstone Project/Dissertation 0 0 0 12 Project
XXXXXXXXX Term Paper 0 0 0 8  
Total Credits 20  
Total Program Credits 80  
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