Explore data analysis, predictive modeling, decision support systems. Study online, at your pace. Gain expertise in harnessing data for strategic decision-making.
The syllabus for an Online MBA in Business Analytics is carefully crafted to provide students with a comprehensive understanding of business analytics concepts and applications. Core courses typically cover areas such as data analysis, statistical modelling, data visualization, and business intelligence. Elective courses enable students to specialize in areas like predictive analytics, data mining, and marketing analytics. The syllabus incorporates practical projects, case studies, and real-world scenarios to ensure that students can apply their learning in business contexts. Graduates emerge with a solid foundation in business analytics, making them well-prepared for analytical roles in diverse industries.
Semester | Subjects |
Semester 1 | Business Communication |
Managerial Economics | |
Financial Accounting and Analysis | |
Marketing Management | |
Business Statistics and Analytics | |
Operations Management | |
Data Visualization | |
Data Warehousing and Data Mining | |
Business Ethics and Corporate Social Responsibility | |
Business Analytics Capstone Project | |
Semester 2 | Managerial Finance |
Human Resource Management | |
Strategic Management | |
Business Research Methods | |
Predictive Modeling and Forecasting | |
Machine Learning and Artificial Intelligence | |
Data-driven Decision Making | |
Data Analytics for Marketing and Sales | |
Operations Research | |
Business Analytics Capstone Project II | |
Semester 3 | Big Data Analytics |
Business Process Management | |
Advanced Analytics Techniques | |
Risk Analytics and Management | |
Supply Chain Analytics | |
Text Analytics and Natural Language Processing | |
Customer Relationship Management | |
Data Governance and Privacy | |
Business Analytics in Practice | |
Business Analytics Capstone Project III | |
Semester 4 | Elective Courses (based on specialization or area of interest) |
Dissertation/Thesis | |
Internship/Industry Project |
Projects for Online
MBA in Business Analytics
(1). Predictive Modeling: Develop a predictive model using statistical
techniques to forecast future outcomes or trends based on historical data.
(2). Market Segmentation Analysis: Conduct a market segmentation
analysis to identify distinct customer segments and develop targeted marketing
strategies.
(3). Customer Churn Analysis: Analyze customer data to identify factors
that contribute to customer churn and develop retention strategies.
(4). Pricing Optimization: Use data analysis and optimization techniques
to determine optimal pricing strategies for products or services.
(5). Supply Chain Optimization: Analyze supply chain data to identify
bottlenecks, optimize inventory levels, and improve overall supply chain
efficiency.