- Graduates will be able to employ research methodologies appropriate for the field of analytics.
- Graduates will be able to apply program-specific knowledge to address practical problems using an ethical, evidence-based framework.
- Graduates will be able to implement analytics systems that facilitate context-appropriate decision-making.
- Graduates will be able to utilize argumentation skills appropriate for a given problem or context.
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
- Statement of purpose (about 500 words)
- Resume or curriculum vitae
- External reference recommendations (encouraged but not required)
Upon admission, a new online student* must successfully complete a virtual meeting with their academic coach to be enrolled in first-term coursework.
- *
This is for 100% online students only. International on-campus graduate students will meet their academic coach at on-campus orientation.
Requirements for International Students
All admission policies and requirements for domestic students apply to international students, along with the following:
- Applicants must demonstrate 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, of students who have undertaken post-secondary studies outside the United States 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 |
---|---|---|
Graduate Core Courses | ||
AA 5221 | Applied Analytics & Methods I † | 3 |
ORLD 5050 | Ethical, Evidence-Based Decision Making | 3 |
Foundation Courses | ||
AA 5050 | Programming & Problem Solving | 3 |
AA 5000 | Foundations of Analytics | 3 |
AA 5100 | Information Retrieval ‡ | 3 |
AA 5200 | Visualization, Feedback and Dissemination | 3 |
AA 5222 | Applied Analytics & Methods II: Survey Approaches | 3 |
or AA 5223 | Applied Analytics & Methods II: Experimental Approaches | |
Electives or Post-Baccalaureate Certificate | 9 | |
Three courses, 9 credits, of electives can be taken from the following courses or as part of the Advanced Analytics, Post Baccalaureate Certificate. Other courses whose learning objectives align with those of the MS Analytics program may also count as electives, subject to approval by the program director. | ||
AA 5300 | Advanced Analytics | |
AA 5750 | Contemporary Issues in Analytics | |
AA 5800 | Simulation and Modeling | |
ORLD 5700 | Advanced Evidence-Based Decision Making | |
Master's Project | 3 | |
AA 5960 | Masters Research Project | |
Total Credits | 33 |
- †
Former business students may substitute OPM 5020 Applied Business Statistics (3 cr) for AA 5221 Applied Analytics & Methods I (3 cr)
- ‡
Former computer science students may substitute CSCI 5710 Databases (3 cr) for AA 5100 Information Retrieval (3 cr) and former business students may substitute ITM 6550 Big Data in Organizations (3 cr) for AA 5100 Information Retrieval (3 cr)
Continuation Standards
Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
100% Online Roadmap
Year One | ||
---|---|---|
Fall | Credits | |
Fall 1 | ||
AA 5000 | Foundations of Analytics | 3 |
Fall 2 | ||
ORLD 5050 | Ethical, Evidence-Based Decision Making | 3 |
Credits | 6 | |
Spring | ||
Spring 1 | ||
AA 5221 | Applied Analytics & Methods I | 3 |
Spring 2 | ||
AA 5222 or AA 5223 |
Applied Analytics & Methods II: Survey Approaches or Applied Analytics & Methods II: Experimental Approaches |
3 |
OR | ||
AA 5250 | Project Management | 3 |
Credits | 9 | |
Year Two | ||
Fall | ||
Fall 1 | ||
AA 5200 | Visualization, Feedback and Dissemination | 3 |
Pick one of the following: | 3 | |
AA 5300 |
Advanced Analytics | |
AA 5750 |
Contemporary Issues in Analytics | |
AA 5800 |
Simulation and Modeling | |
Credits | 6 | |
Spring | ||
Spring 1 | ||
Pick one of the following (not previously taken): | 3 | |
AA 5300 |
Advanced Analytics | |
AA 5750 |
Contemporary Issues in Analytics | |
AA 5800 |
Simulation and Modeling | |
Spring 2 | ||
AA 5100 | Information Retrieval | 3 |
Credits | 6 | |
Summer | ||
AA 5960 | Masters Research Project | 3 |
Pick one of the following (not previously taken): | 3 | |
AA 5300 |
Advanced Analytics | |
AA 5750 |
Contemporary Issues in Analytics | |
AA 5800 |
Simulation and Modeling | |
Credits | 6 | |
Total Credits | 33 |
On-campus Roadmap
Year One | ||
---|---|---|
Fall | Credits | |
16 Week Course (Covers Fall 1 and Fall 2) | ||
AA 5050 | Programming & Problem Solving | 3 |
Fall 1 | ||
AA 5221 | Applied Analytics & Methods I | 3 |
Fall 2 | ||
AA 5222 or AA 5223 |
Applied Analytics & Methods II: Survey Approaches or Applied Analytics & Methods II: Experimental Approaches |
3 |
Credits | 9 | |
Spring | ||
Spring 1 | ||
AA 5000 | Foundations of Analytics | 3 |
AA 5200 | Visualization, Feedback and Dissemination | 3 |
Spring 2 | ||
AA 5100 | Information Retrieval | 3 |
ORLD 5050 | Ethical, Evidence-Based Decision Making | 3 |
Credits | 12 | |
Year Two | ||
Fall | ||
Fall 1 | ||
AA 5300 or ORLD 5700 |
Advanced Analytics or Advanced Evidence-Based Decision Making |
3 |
AA 5800 | Simulation and Modeling | 3 |
Fall 2 | ||
AA 5750 | Contemporary Issues in Analytics | 3 |
Credits | 9 | |
Spring | ||
16 Week Course (Covers Spring 1 and Spring 2) | ||
AA 5960 | Masters Research Project | 3 |
Credits | 3 | |
Total Credits | 33 |