Master of Science in Information Systems and Business Analytics

Analyze and innovate with a degree that gives you a competitive edge in business and beyond.

This is an approved and accredited STEM degree program by the Missouri Department of Higher Education and Higher Learning Commission with the opportunity for international students to apply for up to 3 years of work experience after graduation.

This program offers the technical, managerial, and strategic acumen you need to support decisions made in business (such as marketing, strategic planning, operations, customer relations) or other fields, like medical data analysis.

Locations & Learning Options

Campus Centers, Online & Parkville

Master of Science in Information Systems and Business Analytics – 36 Hours

Master of Science, Information Systems and Business Analytics, M.S.


The Master of Science in Information Systems and Business Analytics will require applicants to meet the same admissions requirements as any other graduate program is business.

  1. A baccalaureate degree from a regionally accredited college or university in the U.S. or from an accredited foreign institution of higher learning.
  2. Minimum of a 2.75 cumulative grade point average on a 4.0 scale from all colleges and universities attended.
  3. Students will a cumulative grade point average below 2.75 may be considered for conditional admission. Submission of additional documentation may be required by the Program Director.

Admission to Park University’s Master of Science in Information Systems and Business Analytics program is open to graduates of all fields of undergraduate study. Types of Admission Students will be admitted to the Master of Business Administration program with one of the following admission statuses:

  1. Full Admission – Applicants who meet all admission requirements and the Graduate Admissions office has received all necessary documents, are granted full admission.
  2. Provisional Admission – Students may be admitted to a program on a provisional basis and their admission status will be classified as “provisional.” The provisional status will be removed when applicants submit test scores or other required documents. Students accepted provisionally must submit complete and satisfactory records before completing 12 credit hours in the graduate program.
  3. Conditional Admission – In certain exceptional cases, a student who does not meet the minimum grade point average requirement, but who presents other evidence of ability to succeed in a graduate program, may be granted provisional admission by the director of the graduate program in which the applicant is applying, in concurrence with the dean or designee. The probationary status may be removed after the student has demonstrated academic ability by maintaining a “B” average for the first six credit hours of graduate courses, with no grade lower than a “B”.

Kirby R. Brown

Dean, College of Management

Dr. Greg Moore

Associate Dean, Graduate Programs
Associate Professor of Finance

Dr. Dmitry Gimon

Director of Information Systems and Business Analytics
Associate Professor

In this graduate program, you’ll sharpen your analytical skills, your ability to work with data and your capacity to use data to make decisions. You’ll be well-prepared for careers in data analysis or, if you’re a manager responsible for business decisions, you’ll gain a distinct professional advantage.


  • Business Analyst
  • Management Analyst
  • Data Analyst
  • Marketing Analyst
woman at laptop
campus building

Measuring up

This degree is a rigorous combination of business and data analytics classes, geared toward preparing you for a range of data analytics careers. Technical background is not required for this program, but if you do have programming skills, you can to apply their knowledge to data analysis with a potential to work in scientific computing and big data analytics.

Hands-on tech from day one

Our students engage in hands-on experiences right away, tackling coding and databases in the very first class. As you build your knowledge, you’ll learn to compile data reports, analyze data and visualize it using industry-standard technologies and tools like Python, Hadoop, SQL and Tableau.

Kickstart your career

In your final semester, you’ll complete a capstone project using real-world data, build a portfolio and connections with potential employers.

Related programs

Park University’s degree programs are accredited by the Higher Learning Commission.

Park University is a private, non-profit, institution of higher learning since 1875.