Business Analytics Concentration
The Business Analytics concentration is designed to provide advanced skills and techniques that can be applied to discipline-specific and more general business problems. This concentration will leverage the importance of data analytics and enhances it with the business and advanced analytical skills that today's organizations demand for decision making.
Total Required Credits: 12
“Ninety-eight percent of employers believe business school graduates need to know how to use data to drive decisions, according to the 2013 "Year-End Poll of Employers" by the Graduate Management Admission Council.
Requirement A (Foundation): Choose two courses (one from Data Analytics groups and one from Data Management group).
The total number of credits for Requirement A can be 3, 4.5, or 6 depending on the depth at which students would like to learn each subject area.
- QTM9515 Introduction to Data Science and Business Analytics (1.5 credits)
- QTM7571 Business Intelligence, Analytics, and Visualization (3 credits) or QTM6300 Data Exploration and Analytics (3 credits). These two courses can be used for credit towards an MS in Business Analytics at Babson.
- MIS9530 Competing on Analytics using Technology (1.5 credits)
- MIS6300 Information Technology (3 credits). This course can be used for credits towards an MS in Business Analytics at Babson.
Note: QTM9515 and MIS9530 are at an introductory level and are recommended for students with limited background in the corresponding area. Students can choose to mix and match courses with varying levels from the two areas (e.g., QTM9515 with MIS6300) depending on the student's background.
Requirement B (Application): 3 credits
Choose one of the following:
- ECN7520 Economic and Financial Forecasting (3 credits)
- MKT7506 Marketing Analytics (3 credits)
Requirement C (Depth): 3, 4.5, or 6 credits
The list of general electives with substantial analytical content that can count toward the remaining credits for the Business Analytics concentration includes:
- ECN7520 Economic and Financial Forecasting (3 credits)*
- ECN7555 Health Care: Markets, Analytics and Strategies (3 credits)
- MBA7509 Decisions (3 credits)
- MBA7515 Enterprises 2.0 Building Social Networks (3 credits)
MBA7545 Analytical Managers and Organizations (3 credits)
MFE7500 MCFE in Business Analytics (3 credits): requires the approval of a Business Analytics Concentration coordinator
MIS6300 Information Technology* (3 credits) or IT XXXX: Information Technology* (3 credits) These two courses can be used for credits towards an MS in Business Analytics at Babson.
- MIS7557 Clouds, Platforms, and Networks (3 credits)
- MIS7565 Blockchain Venture (1.5 credits)
- MIS9550 Innovation with Wareable Technology (1.5 credits)
- MKT7506 Marketing Analytics (3 credits)* or QTM6300 Marketing Analytics (3 credits) These two courses can be used for credit towards and MS in Business Analytics at Babson.
- MKT7510 Marketing Research and Analysis (3 credits)
- MKT7542 Digital Marketing
- QTM7571 Business Intelligence, Analytics, and Visualization* (3 credits) or QTM 6300 Data Exploration and Analytics * (3 credits) These two courses can be used for credits towards an MS in Business Analytics at Babson.
- QTM7575 Financial Modeling (3 credits)
- QTM9501 Business Forecasting (1.5 credits)
- QTM9505 Financial Simulation (1.5 credits)
- QTM9510 Optimization (1.5 credits)
* If not chosen as part of Requirement B.
Suggested electives that could complement a Business Analytics Concentration
In addition to the courses listed above, we recommend that business analytics concentrators supplement their coursework with relevant courses from other disciplines. These classes will not count toward the concentration but will provide valuable perspective and/or complementary skills. Some great choices include the following:
- MIS7515 High Tech Entrepreneurship
- MKT7572 Brand Management
- MKT9501 Strategy and Tactics of Pricing
For information on the coursework in the concentration and possible career paths, please contact the concentration coordinators:
- Professor Abdul Ali (firstname.lastname@example.org)
- Professor Dessi Pachamanova (email@example.com)