Advanced Analytics, Post-Baccalaureate Certificate
The post-baccalaureate certificate in advanced analytics is designed for students with a foundational background in exploratory data analysis, offering advanced education in machine learning, deep learning, generative AI, and advanced statistical modeling.
The program equips students with the knowledge and skills needed to conceptualize, design and implement analytics projects that address specific business challenges. Graduates will be prepared for roles requiring expertise in these advanced analytical techniques, enabling them to drive data-informed decision-making and innovation in their organizations.
Tuition
| Tuition | Cost Per Credit |
|---|---|
| Online Graduate Degrees and Post-Baccalaureate Certificates | $810 |
Additional charges may apply. Other resources are listed below:
- Graduates will be able to design and implement analytics systems tailored to specific decision-making contexts.
- Graduates will be able to communicate model uncertainty to decision makers, supporting informed, risk-aware decision-making.
Admission Requirements
- Completed application
- Undergraduate degree (most successful applicants have an undergraduate grade point average of 3.0 or better)
- Official transcript from a degree-granting institution
- Resume or curriculum vitae
- External reference recommendations (encouraged but not required)
Upon admission, a new student must successfully complete a virtual meeting with their academic coach to enroll in first-term coursework.
Requirements for International Students
Along with the general admission requirements above, the following must be provided by prospective international students:
- Demonstration of English Language Proficiency. Some examples of demonstrated English language proficiency include minimum score requirements for the following standardized tests:
- Paper-based TOEFL: 550
- Internet-based TOEFL: 80
- IELTS: 6.5
- PTE: 54
- Academic records, in English translation, for postsecondary studies outside the United States. These must include the courses taken and/or lectures attended, practical laboratory work, the maximum and minimum grades attainable, the grades earned or the results of all end-of-term examinations, and any honors or degrees received. WES and ECE transcripts are accepted.
Program Requirements
| Code | Title | Credits |
|---|---|---|
| AA 5300 | Advanced Analytics | 3 |
| AA 5750 | Contemporary Issues in Analytics | 3 |
| AA 5800 | Simulation and Modeling | 3 |
| Total Credits | 9 | |
This roadmap is just one example of a semester-by-semester plan of study for this program. There are other plans students can and do take. The plan of study for each particular student is established in consultation with each student’s academic advisor; this roadmap does not replace academic advising appointments.
Roadmap notes:
- This Roadmap assumes full-time enrollment unless otherwise noted.
- Courses/Milestones marked with an “!” are critical and must be completed in the semester listed in the Roadmap to ensure a timely graduation.
- Course availability and sequencing are subject to change.
Fall Entry
| Year One | ||
|---|---|---|
| Fall | Credits | |
| Fall 1 | ||
| AA 5300 | Advanced Analytics | 3 |
| Fall 2 | ||
| AA 5750 | Contemporary Issues in Analytics | 3 |
| Credits | 6 | |
| Spring | ||
| Spring 1 | ||
| AA 5800 | Simulation and Modeling | 3 |
| Credits | 3 | |
| Total Credits | 9 | |
Spring Entry
| Year One | ||
|---|---|---|
| Spring | Credits | |
| Spring 1 | ||
| AA 5300 | Advanced Analytics | 3 |
| Spring 2 | ||
| AA 5750 | Contemporary Issues in Analytics | 3 |
| Credits | 6 | |
| Summer | ||
| AA 5800 | Simulation and Modeling | 3 |
| Credits | 3 | |
| Total Credits | 9 | |
For additional admission questions, please call 314-977-2330 or email sps@slu.edu.