Program Overview

Analytics, M.S.

The Master of Science in Analytics program at Saint Louis University is designed to teach students how to design and implement analytics projects to solve complex organizational problems through statistical and analytical techniques for analyzing datasets of various sizes. Through coursework, students gain project management and decision-making skills and learn how to communicate the intricacies of complex data more effectively.

Overview

The program offers a flexible option for data-driven professionals to meet their career goals, with multiple start terms in the fall or spring. Students join a community of academics and practitioners from a wide range of subjects and professional backgrounds, providing the opportunity to learn from a network of peers.

Faculty

Students learn from exceptional faculty who are leading experts in their fields, bringing real-world knowledge to the classroom and dedicated to professional success.

Careers

Graduates from this program are ready to discover patterns within large quantities of data and provide insightful recommendations that inform organizational decision-making. Recent trends in the job market indicate that the job market for data analytics, business analytics, and similar skill sets will continue to grow.

Tuition

• Tuition Per Program: $42,000 (On-Ground)
• Tuition Per Credit: $810 (Online)

Scholarships and Financial Aid

For priority consideration for graduate assistantship, apply by February 1. More information is available through the Office of Student Financial Services.

Learning Outcomes

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)

Requirements for International Students

• Applicants must demonstrate English language proficiency, with minimum score requirements for standardized tests such as TOEFL, IELTS, or PTE.
• 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.

Program Requirements

Course List

• Graduate Core Courses:
  • AA 5221: Applied Analytics & Methods I
  • ORLD 5050: Ethical, Evidence-Based Decision Making
• Foundation Courses:
  • AA 5050: Programming & Problem Solving
  • AA 5000: Foundations of Analytics
  • AA 5100: Information Retrieval
  • AA 5200: Visualization, Feedback and Dissemination
  • AA 5222 or AA 5223: Applied Analytics & Methods II
• Electives or Post-Baccalaureate Certificate: 9 credits
• Master's Project: 3 credits
  • AA 5960: Masters Research Project

Total Credits: 33

Continuation Standards

Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.

Roadmaps

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 must be completed in the semester listed to ensure a timely graduation.

Fall Start

• Year One:
  • Fall 1: AA 5050, AA 5221
  • Fall 2: AA 5222 or AA 5223
  • Spring 1: AA 5000, AA 5200
  • Spring 2: AA 5100, ORLD 5050
• Year Two:
  • Fall 1 & 2: Electives
  • Spring: AA 5960

Spring Start

• Year One:
  • Spring 1: AA 5050
  • Spring 2: AA 5221
  • Fall 1: AA 5000, AA 5200
  • Fall 2: AA 5100, ORLD 5050
• Year Two:
  • Spring 1 & 2: Electives
  • Summer or Fall: AA 5960

Conclusion

The Master of Science in Analytics at Saint Louis University provides students with a comprehensive education in analytics, preparing them for careers in data analysis and decision-making. With a strong faculty, flexible program options, and a focus on real-world application, this program is ideal for data-driven professionals looking to advance their skills and knowledge in the field of analytics.