The MBA in Data Analytics degree program prepares students for managerial positions in a variety of industries, including health, information technology, manufacturing, agriculture, banking and finance, textiles, and trading, where data-driven decision-making is necessary. Its goal is to give students the opportunity to develop knowledge, abilities, attitudes, and understanding that will help them develop deep competency in the skills needed to implement and oversee data-driven business decisions, such as collecting, managing, and describing datasets, forming inferences and predictions from data, and making optimal and reliable decisions. Graduates will be qualified to work in marketing, research, analysis, and/or finance as competent business management experts.
Undergraduates from any discipline with strong fundamentals in Mathematics and Statistics.
Graduates with an MBA in Data Analytics can work on their own in analytics consulting and advising. They could work for companies that offer clients data analytics or business analytics services. They could also operate as freelance analysts or as personal financial advisors.
Graduates of a Data Analytics program can go on to work in a variety of fields. An integrated grasp of data analytics and visualization, data-driven decision-making, and strategic management is especially beneficial to business intelligence (BI) and business analytics (BA) roles. These fields of work entail converting data into actionable insights. Analysts in the BI and BA fields frequently advance to top-level management and director positions with ease.
MBA Data Analytics Core Courses
- Organizational Leadership
- Managerial Economics
- Marketing Management
- Strategic Management in a Globalized Economy
- Managing Information Systems & Technology
- Managerial Accounting
- Organizational Behavior
- Financial Management
- Managerial Communication
- Data Analysis & Business Intelligence
- Principles of Data Management
- Database Design and Management
- Data in Artficial-Intelligence and Machine Learning
- Artificial Intelligence and Prescriptive Analytics in Business
- Cloud Data Visualization
- Data Analysis using Python
- Statistics for Data Analysis