The Data and Business Analytics Concentration is designed for students looking to hone their analytical skills in an effort to provide data-driven business recommendations.
Mastering successful business decision-making demands the skill to analyze complex data and generate managerial insights. The Full-Time MBA Data and Business Analytics Concentration empowers students to tackle real-world business challenges using data science.
To express interest or ask questions about the concentration, contact an academic advisor at [email protected].
Fulfill a minimum of 12 credits of approved coursework to complete the concentration, subject to the following:
- Complete at least two courses in Group 1: Data and Business Analytics Fundamentals
- Complete at least two courses in Group 2: Tools and Applications Electives
- Complete at least one course in Group 3
- Courses marked with * are equivalent and only one may count toward concentration
- Courses can be completed within the 57 credits needed for the Full-Time MBA
- You are encouraged to add the concentration in your first year of enrollment and can complete both the concentration and the Full-Time MBA program in two years.
MKT 608: Pricing Analytics and Strategy (2.25 cr.)
MKT 626: Customer Analytics (2.25 cr.)
MKT 630: Marketing Engineering (2.25 cr.)
TO 513: Spreadsheet Modeling and Applications (1.5 cr.)
TO 515: Business Application Development with Visual Basic for Excel (2.25 cr.)
TO 538: Empowering Business Decision Making with Generative AI (1.5 cr.)
TO 550: Data Visualization and Storytelling (2.25 cr.)
TO 566: Applied Regression and Data Analysis (1.5 cr.)
TO 567: Data Mining and Applied Multivariate Analysis (1.5 cr.)
TO 572: Applied Business Forecasting (1.5 cr.)
TO 633: Artificial Intelligence for Business (2.25 cr.)
TO 649: Revenue Management (2.25 cr.)
BIOSTAT 521: Applied Biostatistics (4 cr.)
IOE 561: Risk Analysis I (3 cr.)
ES 616: Equity Analytics (2.25 cr.)
MKT 625: New Product and Innovation Management (2.25 cr.)
MKT 642: Digital Marketing: Applications and Analytics (2.25 cr.)
TO 512: Decision Support with Spreadsheets (1.5 cr.)
TO 630: New Age of Innovation (2.25 cr.)
BIOSTAT 522: Biostatistical Analysis for Health-Related Studies (3 cr.)
BIOSTAT 523: Statistical Methods in Epidemiology (4 cr.)
HS 650: Data Science and Predictive Analysis (4 cr.)
IOE570: Experimental Design (3 cr.)
PUBPOL 750.310: Applied Methods for Development (3 cr.)
SI 618: Data Manipulation (3 cr.)
