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Analytics, M.S.

  1. Graduates will be able to employ research methodologies appropriate for the field of analytics.
  2. Graduates will be able to apply program-specific knowledge to address practical problems using an ethical, evidence-based framework.
  3. Graduates will be able to implement analytics systems that facilitate context-appropriate decision-making.
  4. 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.

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Program Requirements 

Graduate Core Courses
AA 5221Applied Analytics & Methods I 3
ORLD 5050Ethical, Evidence-Based Decision Making3
Foundation Courses
AA 5050Programming & Problem Solving3
AA 5000Foundations of Analytics3
AA 5100Information Retrieval 3
AA 5200Visualization, Feedback and Dissemination3
AA 5222Applied Analytics & Methods II: Survey Approaches3
or AA 5223 Applied Analytics & Methods II: Experimental Approaches
Electives or Post-Baccalaureate Certificate9
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 Project3
AA 5960
Masters Research Project
Total Credits33

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 

Plan of Study Grid
Year One
FallCredits
Fall 1  
AA 5000 Foundations of Analytics 3
Fall 2  
ORLD 5050 Ethical, Evidence-Based Decision Making 3
 Credits6
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
 Credits9
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  
 Credits6
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
 Credits6
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  
 Credits6
 Total Credits33

On-campus Roadmap

Plan of Study Grid
Year One
FallCredits
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
 Credits9
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
 Credits12
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
 Credits9
Spring
16 Week Course (Covers Spring 1 and Spring 2)  
AA 5960 Masters Research Project 3
 Credits3
 Total Credits33