PG Specialization – MBA with specialization in Business Analytics (Online MBA)
Only Online Master of Business Administration with specialization in Business Analytics Globally Ranked By QS In India.
We offer a cutting-edge analytics program, delivered by prominent industry leaders and esteemed faculty. This specialized course aims to empower learners with sought-after skills in utilizing advanced statistical methods and data visualization tools for handling dynamic data. Structured with a focus on tangible outcomes, challenge-driven coursework, and a comprehensive curriculum, the program is designed to equip students for leadership roles in the 21st century.
Why MBA with specialization in
Business Analytics?
In an era where the need for business analysts is set to increase by 24%, learn statistical methods and data visualization for dynamic data management. Compare predictive analytics, execute hypothesis tests, and derive insights from Big Data using popular technologies and models. Gain expertise in modern statistical tools like R, Python, Excel, Tableau, MySQL, and Power BI. Apply analytics seamlessly in real-world business contexts.
Semester 1
Managerial Economics
Statistics for Management
Professional communication
Accounting for Managers
Marketing Management
Semester 2
Legal Aspects of Business
Business Research Methods
Financial Management
Human Resource Management
Conflict Resolution and Management
Semester 3
Analyzing and Visualizing Data with Power BI
Forecasting Techniques
Introduction to Business Analytics
Minor Project
Professional Ethics
Strategic Management
Supervised Learning Techniques
Semester 4
Big Data Analytics
Digital Marketing
Major Project
Management in Action – Social Economic and Ethical Issues
Optimization and Dimension Reduction Techniques
What Will I Learn?
- Statistical Methods and Data Visualization
- Develop in-demand skills in leading statistical methods and data visualization tools to effectively manage dynamic data
- Understanding Analytics Types
- Enhance your innovative ability by distinguishing between descriptive and predictive analytics, leveraging their respective strengths
- Hypothesis Testing and Non-Parametric Tests
- Apply knowledge to set up hypothesis tests and comprehend non-parametric testing methods for robust analysis
- Deriving Insights from Big Data
- Identify strategies to extract meaning from Big Data, utilzing emerging technologies and analytical models effectively
- Proficiency in Statistical Tools and Real-World Application
- Gain expertise in using modern statistical tools and software packages like R, Python, Excel, Tableau, MySQL, and Power BI
- Strategic Planning and Decision-Making
- Students will be able to adapt strategies in response to evolving market dynamics, emerging technologies, and shifting consumer preferences.
About the instructor
33 Courses
0 students
Requirements
- Working professionals in IT/Finance/Statistics
- Entrepreneurs looking to enhance their skills in Analytics
- Fresh graduates from Engineering / Mathematics background
- Final year students completing their graduation on or before the start of the program
- Graduation in any discipline with 40% marks in the last qualifying examination.
- Below 40% marks, a test is conducted & if passed then the student is eligible for admission.
