Master of Science in Data Analytics

Here, you can expect advanced training in high-demand skills at a cost that makes sense for your future. With access to experienced faculty, flexible learning options, real-world datasets and modern data tools, the MS in Data Analytics degree delivers both quality and value. 

If you live in Arkansas, Illinois, Iowa, Kansas, Kentucky, Nebraska, Oklahoma, Tennessee or Texas, you’re eligible for an automatic in-state tuition rate known as Lion Pride Tuition.

Note: Estimated tuition and fees are based on current rates. The cost does not include books and materials. The University offers scholarships (tuition discount) and competitive graduate assistantship positions (one position for each of the three colleges for fall and spring; no funding available for summer).

Missouri Southern Cost Information

We understand that earning a master's degree is a significant commitment. Whether you’re a working professional seeking a balanced 24-month completion track or a full-time student aiming to finish in as little as 12 months, Missouri Southern offers learning styles that fit your schedule and allow you to meet the demands of other responsibilities. 

Explore your options for joining classes:

• In Person: Attend evening sessions (6pm-9pm) on campus one day per week (no Fridays) in our newly renovated data analytics lab. 
• Live Online: Participate virtually in real time from anywhere by logging on during class time. 
• On Demand: Watch recorded lectures at your convenience. 

Note: International students are required to attend in-person classes to meet immigration requirements.

• DATA 510 Foundations of Data Analytics
• DATA 520 Enterprise Data Management
• DATA 530 Programming for Data Analysis
• DATA 540 Data Models and Structured Analysis
• DATA 550 Machine Learning
• DATA 555 Artificial Intelligence

• GB 525 Revenue Management
• GB 530 Data Visualization
• GB 540 Forecasting with Time Series Analysis
• GB 560 Supply Chain Decision Modeling

The MS in Data Analytics degree program prepares you to confidently:

• Identify patterns in data via data mining and visualization
• Transform data into useful information for decision-making
• Devise data-driven solutions to support organizational goals
• Communicate data-driven information to various organizational stakeholders
• Evaluate ethical issues in data analyses

To apply to the Master of Science in Data Analytics program, you must hold a bachelor’s degree in any discipline from a regionally accredited college or university or an equivalent international institution, with a cumulative GPA of 2.75 or higher. In addition, you must provide documentation of one of the following:

• 3.25 cumulative GPA in a bachelor’s degree
• Three years of full-time work experience
• Combined score of 300 on the verbal and quantitative sections of the Graduate Records Examination (GRE)
• Minimum score of 450 on the Graduate Management Admission Test (GMAT)
• Master’s degree from a regionally accredited institution with at least a 3.0 GPA

Conditional Admission: An applicant who does not fully meet the requirements for admission as a regular graduate student, at the discretion of the Program Director, may be allowed to enroll in the graduate program under a conditional acceptance status.

MSSU Admissions

Students applying from outside the U.S. whose native language is not English must submit TOEFL, IELTS or Duolingo scores. 

Note: Applicants who have taken classes outside the U.S. may have their transcripts evaluated by MSSU Admissions. MSSU requires a GPA equivalency. If MSSU Admissions is unable to determine a GPA or the applicant disagrees with the evaluation, they may submit their transcript to an approved third-party evaluation service.

Fall Semester Start

• Domestic Students: July 31
• International Students: June 30

Spring Semester Start

• Domestic Students: December 31
• International Students: November 30