Skip to main content
Menu Search & Directory

Analytics, M.S.

Learn to design and implement analytics projects to solve complex organizational problems through statistical and analytical techniques for analyzing datasets of various sizes. Through your coursework in Saint Louis University's Master of Science in Analytics program, you'll gain skills in project management and decision making and learn how to communicate the intricacies of complex data more effectively.  

Along the way, you’ll learn from a network of diverse peers from around the world, merging technology with human and organizational structures as you engage in knowledge discovery, management, and dissemination of industry-critical knowledge. 

You can also earn a graduate certificate that complements a master’s degree, often without taking additional credits, allowing you to tailor the program to your specific interests.

As part of the School for Professional Studies, this 33-credit master's program offers data-driven professionals like you a flexible option to meet your personal career goals. With multiple start terms, you can begin the master's program in the fall or spring. All courses are offered in online and hybrid formats in eight-week terms, making advanced education more accessible for working professionals.  You will join a community of academics and practitioners from a wide range of academic and professional backgrounds, providing you the opportunity to learn from a network of peers.

Faculty

As a student in the School for Professional Studies at Saint Louis University, you’ll learn from exceptional faculty who are leading experts in their fields. They bring real-world knowledge to the classroom and are dedicated to your professional success. Learn more on our faculty page.

Careers

SLU's M.S. in Analytics provides students with skills in data mining, data visualization, predictive analytics, design and implementation of analytics projects and data management. Graduates from this program are ready to discover the patterns within large quantities of data and provide insightful recommendations that inform organizational decision-making.

Recent trends in the job market data and experts’ predictions indicate that the job market for data analytics, business analytics and similar skill sets will only continue to grow in the future.

Scholarships and Financial Aid

For priority consideration for graduate assistantship, apply by Feb. 1. 

For more information, visit the student financial services office online at https://www.slu.edu/financial-aid/index.php.

  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 student must successfully complete a virtual meeting with their academic coach to be enrolled in first term coursework.

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 postsecondary 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.

Apply Now

Program Requirements 

Graduate Core Courses
AA 5221Applied Analytics & Methods I3
ORLD 5050Ethical, Evidence-Based Decision Making3
Foundation Courses
AA 5000Foundations of Analytics3
AA 5100Information Retrieval3
AA 5200Visualization, Feedback and Dissemination3
AA 5222Applied Analytics & Methods II: Survey Approaches3
or AA 5223 Applied Analytics & Methods II: Experimental Approaches
AA 5250Project Management3
Electives
Select three of the following:9
AA 5300
Advanced Analytics
AA 5750
Contemporary Issues in Analytics
AA 5800
Simulation and Modeling
Elective
Student's choice outside of program
Applied Research Project
AA 5961Applied Analytics Master’s Project - I1
AA 5962Applied Analytics Master’s Project - II1
AA 5963Applied Analytics Master’s Project - III1
Total Credits33

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.

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
 Credits6
Summer
AA 5961 Applied Analytics Master’s Project - I 1
 Credits1
Year Two
Fall
Fall 1  
AA 5200 Visualization, Feedback and Dissemination 3
AA 5250 Project Management 3
OR  
AA 5750
Contemporary Issues in Analytics  
Fall 2  
AA 5962 Applied Analytics Master’s Project - II 1
 Credits7
Spring
Spring 1  
AA 5300 Advanced Analytics 3
OR  
AA 5800
Simulation and Modeling  
Spring 2  
AA 5100 Information Retrieval 3
 Credits6
Summer
AA 5300 Advanced Analytics 3
OR  
AA 5800
Simulation and Modeling  
 Credits3
Year Three
Fall
Fall 1  
AA 5750 Contemporary Issues in Analytics 3
OR  
AA 5250
Project Management  
Fall 2  
 Credits3
Spring
AA 5963 Applied Analytics Master’s Project - III 1
 Credits1
 Total Credits33