Program Learning Objectives
- Employ key aspects of data management - retrieval, integration, and enrichment
- Apply high ethical standards toward the collection, storage, analysis, and reporting of data
- Apply modeling tools to data of various types and sizes
- Visualize data to infer and communicate insights
- Use data to analyze, inform and solve fundamental business problems
Required Courses | ||
GSB 503 | Collaborative Industry Project 1 | 4 |
GSB 518 | Essential Statistics for Business Analytics | 4 |
GSB 520 | Data Management for Business Analytics | 4 |
GSB 530 | Data Analytics and Mining for Business | 4 |
GSB 544 | Computing and Machine Learning for Business Analytics | 4 |
GSE 519 | Econometrics and Data Analysis | 4 |
Approved Electives | ||
Select from the following: | 21 | |
Individual Research 2 | ||
Collaborative Industry Project 3 | ||
Data Visualization and Communication in Business | ||
Strategic Marketing Analytics | ||
Strategic People Analytics | ||
Cloud Services & Applications for Business Analytics | ||
Data Ethics for Business Analytics | ||
Advanced Machine Learning for Business Analytics | ||
Bayesian Econometrics | ||
Prescriptive Analytics | ||
Selected Advanced Topics 2 | ||
Career Readiness in Data Analytics | ||
Total units | 45 |
1 | GSB 503 satisfies the culminating experience requirement for the degree. To meet the requirement of this course, program advisor may require GSB 503 to be completed in a particular term. |
2 | Not all topics will be taught online, depending on the proposal review process; requires advisor approval prior to enrolling |
3 | 1- 4 additional units of GSB 503 may be taken as an elective beyond the core requirement to work on continuing or new client projects. |