The Business Analytics certificate is an excellent specialization if you are currently pursuing a Quinlan graduate degree or are a working professional who needs to better understand current business analytics methodologies. This certificate will strengthen your analytic skills, while also guiding you through the most contemporary software, languages, and methodologies for modeling and analyzing data.
CURRICULUM
Course List Code | Title | Hours |
INFS 492 | Database Systems 1 | 3 |
INFS 494 | Data Mining | 3 |
INFS 796 | Data Warehousing | 3 |
| 6 |
| Applied Econometrics | |
| Business Analytics | |
| Strategic Use of Database Analytics | |
| Global Strategy and Data | |
| Data Visualization | |
| Principles of Analytic Programming | |
| Programming for Business Decision Making | |
| Applications of Visualization | |
| Managerial Statistics | |
| Forecasting Methods | |
| Data Driven Decision Making | |
| Research Methods in Marketing | |
| Database Marketing Strategy | |
| Customer Analytics | |
| Marketing Metrics | |
| Supply Chain Analytics | |
Total Hours | 15 |
Suggested Sequence of Courses
The below sequence of courses is meant to be used as a suggested path for completing coursework. An individual student’s completion of requirements depends on course offerings in a given term as well as the start term for a major or graduate study. Students should consult their advisor for assistance with course selection.
Plan of Study Grid
Fall |
INFS 492 |
Database Systems |
3 |
| Hours | 3 |
Winter |
|
3 |
| Hours | 3 |
Spring |
INFS 494 |
Data Mining |
3 |
|
3 |
| Hours | 6 |
Summer |
INFS 796 |
Data Warehousing |
3 |
| Hours | 3 |
| Total Hours | 15 |
Graduate & Professional Standards and Regulations
Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supersede school policies.
LEARNING OUTCOMES
Upon completion of the certificate program, you will be able to:
- Organize and analyze data in a professional manner using formal methods and techniques;
- Leverage data and analytics as a business asset;
- Use data and analytics to identify new business opportunities;
- Formulate strategic recommendations based on data and analytics;
- Use various languages and tools, including R, SQL, Tableau, and data modeling software