Master of Science Management Information Systems with a concentration in Business Analytics and Artificial Intelligence online
This in-demand degree prepares you to use data and artificial intelligence at an executive level to make strategic decisions for businesses and enterprises.
Program Overview
Explore our online MS in MIS – Business Analytics and Artificial Intelligence
The Master of Science Management Information Systems with a concentration in Business Analytics and Artificial Intelligence online program from Murray State prepares you to become an effective business and technology leader who can address important organizational problems using data, technology and artificial intelligence. The curriculum focuses on data sourcing, data organization, data management, data-driven decision-making and statistical modeling (predictive analytics, machine learning, data mining, etc.) using modern business analytics tools.
Specific coursework includes knowledge areas outlined in “A Guide to the Project Management Body of Knowledge (PMBOK Guide),” the impact of enterprise resource planning (ERP) systems, how ERP software integrates business functions and how to make business functions compatible with an ERP system. Additionally, students will learn software cycle, software process maturity and Agile modules as well as various software methodologies, such as object oriented, rapid development, software design, and verification and testing.
Our faculty are experts in data science, business analytics and information systems and, most importantly, are committed to your success. They are well-versed in state-of-the-art tools such as R, Python™, IBM SPSS Data Modeler, SAP® Predictive Analytics, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS).
You will benefit from hands-on practice with analytics software while trying to address real-world problems using modern business analytics and AI techniques. Examples include developing a detailed project management plan using SCRUM (Agile) methodology; designing and building a data warehouse using SQL Server; developing software using SaaS architecture; and using IBM-SPSS Statistics and IBM-Modeler to create, assess and implement various business analytics models.
The Arthur J. Bauernfeind College of Business at Murray State University has been continuously accredited by AACSB International (AACSB) since 1981.
Murray State University’s online MSIS in Business Analytics program is ranked #7 among the "Most Affordable Online Master's in Business Analytics Degree Programs" by analyticsdegrees.org (2025).
Best Online Programs in the Computer Information Technology (CIT)
Murray State University’s online master’s degree program in Information Systems (MSIS) was recently recognized among the 2023 Best Online Programs in the Computer Information Technology (CIT) category by U.S. News and World Report.
As a graduate of this online MS in MIS program, you will be able to:
- Plan, implement and maintain a database using appropriate software
- Apply the competencies to implement project management processes established by the Project Management Institute Body of Knowledge (PMBOK® Guide)
- Use advanced spreadsheet functions and visualization tools to analyze business data
- Utilize data mining techniques to discover patterns, predict trends and classify observations
- Be prepared to test for SAP certification in a number of areas
- Plan, implement and maintain a database using appropriate software
- Apply the competencies to implement project management processes established by the Project Management Institute Body of Knowledge (PMBOK® Guide)
- Use advanced spreadsheet functions and visualization tools to analyze business data
- Utilize data mining techniques to discover patterns, predict trends and classify observations
- Be prepared to test for SAP certification in a number of areas
This program will prepare you for careers such as:
- Chief Information Officer
- Systems Analyst
- Information Architect
- Database Administrator
- Data Scientist/Analyst
- IT Manager
- Project Manager
- Chief Information Officer
- Systems Analyst
- Information Architect
- Database Administrator
- Data Scientist/Analyst
- IT Manager
- Project Manager
Also available
Murray State offers a variety of online master’s degrees. Check out all of our MBA, MPA and MS online degree programs.
Tuition
Choosing our online program is cost-effective
The MS in MIS – Business Analytics and Artificial Intelligence online program offers affordable, pay-by-the-course tuition. All fees are included.
Tuition breakdown:
| Program | Per Credit Hour | Per Course | Per Program |
|---|---|---|---|
| MS in MIS Business Analytics and AI | $581.50 | $1,744.50 | $17,445* |
*The tuition rate is subject to annual changes based on approval by the Murray State University Board of Regents and the Kentucky Council on Postsecondary Education. Refer to Graduate Tuition Rates for more information on the cost of attendance for Murray State.
Calendar
These are the dates you need to know for our online degree
Murray State University online programs are delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.
Now enrolling:
| Term | Start Date | Application Deadline | Document & Financial Aid Deadline | Priority Registration Deadline | Tuition Deadline | Last Class Day | Term Length |
|---|---|---|---|---|---|---|---|
| Summer 2 | 6/22/25 | 6/16/25 | 6/17/25 | 6/18/25 | 6/20/25 | 8/1/25 | 6 weeks |
| Fall 1 | 8/20/25 | 8/13/25 | 8/14/25 | 8/15/25 | 8/20/25 | 10/8/25 | 7 weeks |
| Fall 2 | 10/14/25 | 10/6/25 | 10/7/25 | 10/8/25 | 10/13/25 | 12/5/25 | 7 weeks |
Admissions
Follow our streamlined admission requirements
At Murray State University, we’ve streamlined the admission process to help you get started quickly and easily. Please read the requirements for the MS in MIS – Business Analytics and Artificial Intelligence online, including where to send your transcripts.
The requirements include:
You must meet the following requirements for admission to the MS in MIS – Business Analytics and Artificial Intelligence online program:
- Bachelor’s degree from an accredited institution
- Undergraduate GPA of 2.75 or higher
- Transcripts from all colleges and universities previously attended
- At least one of the following:
- A minimum GMAT score of 490 or higher, or a GRE score of 288 or higher
- At least 3 years of relevant full-time work experience
Official transcripts, test scores and other documents should be sent from issuing institutions to:
Email address: [email protected]
Mail address:
Graduate AdmissionsMurray State University
B2 Sparks Hall
Murray, KY 42071
Questions? Call 866-906-0541.
Courses
Take a look at the online MS in MIS curriculum
For the MS in MIS – Business Analytics and Artificial Intelligence online, you must complete 21 credit hours of core courses and nine credit hours of electives.
Learning Outcomes
- Describe computers and programming
- Develop software using conditional and control statements
- Identify and employ appropriate data structures
- Create custom functions
- Manage and manipulate multi-dimensional data
- Read and process data files
- Design and develop object-oriented applications
Learning Outcomes
- Use statistical modeling for business analytics
- Develop visualization for business intelligence
- Employ Techniques such as prediction, clustering, associations, and forecasting
- Create and use Predictive modeling using artificial neural networks, and support vector machines
- Analyze textual data for sentiment analysis and social analysis
- Use Linear programming techniques and
- Describe Expert systems and chatbots
Learning Outcomes
- Express database terminology accurately, and design relational databases
- Write SQL queries to manage data and query the database
- Use popular tools to create the structure for a data warehouse
- Extract (E) data from a variety of sources.
- Transform (T) extracted data by adding/removing data as needed
- Loading (L) the database with data after the extraction and transformation processes are completed
- Automate the ETL
- Describe common DWH architectures
- Identify and document the potential business value of an ETL project
Learning Outcomes
- Describe key concepts of Project Management in the IT context
- Work effectively as a part of a team working on a project using the Scrum Project Management framework
- Create a Project Management Plan
- Evaluate the main roles, processes, and artifacts of Agile and Data Science methodologies
- Communicate effectively in written form in the context of Project Management
Learning Outcomes
- Describe the importance of enterprise-wide information systems.
- Distinguish between organizational data, master data and transaction data in different functional areas.
- Carry out common business process functions such as – Sales, Purchasing, Manufacturing, Accounting, Warehouse Management and Materials using SAP ERP application.
- Identify types of reports for managers to improve performance.
- Define key terms and concepts to prepare for SAP certification exam.
Learning Outcomes
- Analyze the problem, understand the scope and complexity of the project
- Gather, organize, and document user requirements
- Identify alternate approaches to solving the problem
- Develop a solution that solves the organizational problem
- Demonstrate the implemented solution
- Communicate effectively in written and verbal forms
Learning Outcomes
- Possess a strong Business Analytics vocabulary.
- Utilize spreadsheet and data visualization software to organize, screen, and preprocess the data.
- Use descriptive, predictive, and prescriptive data analytics tools.
- Understand how and why Business Analytics techniques could be applied to assist business decision making.
- Gain a fundamental understanding of how to construct spreadsheet models for the purposes of conducting quantitative analysis of business problems.
- Demonstrate the ability to interpret analysis results, evaluate alternatives, and to apply basic sensitivity analysis in the support of a managerial decision maker.
Learning Outcomes
- Adapt logical reasoning to approach data-rich problems in a business context.
- Identify, analyze, and apply relevant data via information technology tools appropriately in the analysis of business problems.
- Use decision-making and problem-solving processes.
- Examine the data, problems, and analysis tools.
- Apply the most appropriate business analytic models for the given problems.
- Interpret and convey results to a business audience effectively.
Learning Outcomes
- Install and use an analytics platform
- Source, clean, visualize, analyze, and present data using an analytics platform
- Create data analytics products
- Communicate the results of a Data Science project in written form.
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