ÀÏ˾»ú¸£ÀûÍø

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 inÌýÀÏ˾»ú¸£ÀûÍø's Master of Science in Analytics program,Ìýyou'll gain project management and decision-making skills and learn how to communicate the intricacies of complex data more effectively.ÌýÌý

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.Ìý

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. You will join a community of academics and practitioners from a wide range of subjects and professional backgrounds, providing you the opportunity to learn from a network of peers.Ìý

The 100% online program offers flexible courses in eight-week terms, making advanced education more accessible for working professionals.Ìý

The on-campus version of this program, created so that international students can meet their visa requirements, is also offered in flexible terms.

Faculty

As a student in the School for Professional Studies at ÀÏ˾»ú¸£ÀûÍø, 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 about the SPS faculty.

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.

Tuition

Additional charges may apply. Other resources are listed below:

Net Price Calculator

Information on Tuition and Fees

Miscellaneous Fees

Information on Summer Tuition

Scholarships and Financial Aid

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

For more information, visit the Office of Student Financial Services.

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.

ÀÏ˾»ú¸£ÀûÍø 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.Ìý

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.

Apply Now

On-Campus Roadmap