Master of Science in Information Systems online
Become a sought-after technology leader in today’s data-driven business world with elevated expertise in data warehousing, hardware and software development, information security and more.
Program Overview
Learn what our MS in Information Systems online offers you
Develop your ability to organize, manage and secure any organization’s information when you earn a Master of Science in Information Systems online from Murray State University. This career-advancing master’s degree empowers you to pursue in-demand leadership roles in growing data-oriented fields. You will gain both the theoretical background and practical experience necessary to thrive in the information systems field.
Our innovative coursework examines key ideas, practices and frameworks of project management, such as Agile, in the context of information systems. Enhance your understanding of extracting data from multiple sources, transforming the data and loading the data into data warehouse architectures through the ETL process. In our experiential curriculum, you will apply essential data analysis techniques such as prediction, clustering, associations and forecasting to creatively solve real-world problems.
In this AACSB-accredited program, you will learn from world-class faculty who are dedicated to your success. Our experienced instructors are well-versed in cutting-edge tools such as R, Python™, IBM SPSS Modeler, SAP® Predictive Analytics, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS) and more.
Whether you want to boost your technology credentials or begin a new career path, you can personalize this flexible MSIS to your interests. Choose from a broad range of electives — including topics such as data security, information management and telecommunications — to strengthen the industry-specific skillset that best aligns with your career goals. Plus, expand your professional network to include industry leaders when you join the Murray State University LinkedIn group for computer information systems (CIS) alumni.
The Arthur J. Bauernfeind College of Business at Murray State University has been continuously accredited by AACSB International (AACSB) since 1981.
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 master’s in information systems online program, you will be able to:
- Use information systems concepts to address business problems
- Model, monitor and analyze data using various data analysis tools and methods
- Develop written and verbal communication skills
- Plan information systems projects
- Address complex issues in the global information systems context
- Use information systems concepts to address business problems
- Model, monitor and analyze data using various data analysis tools and methods
- Develop written and verbal communication skills
- Plan information systems projects
- Address complex issues in the global information systems context
This program will prepare you for careers such as:
- Business Intelligence Engineer
- Product Manager
- IT Consultant
- Software Engineer
- Data Analyst
- Technical Program Manager
- Business Intelligence Engineer
- Product Manager
- IT Consultant
- Software Engineer
- Data Analyst
- Technical Program 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
Our budget-friendly tuition is pay-by-the-course
The MS in Information Systems online program offers affordable, pay-by-the-course tuition. All fees are included.
Tuition breakdown:
| Program | Per Credit Hour | Per Course | Per Program |
|---|---|---|---|
| MSIS | $576 | $1,728 | $17,280* |
*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
Know when to apply and when classes start
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 |
|---|---|---|---|---|---|---|---|
| Spring 2 | 3/12/24 | 3/4/24 | 3/6/24 | 3/7/24 | 3/11/24 | 5/8/24 | 7 weeks |
| Summer 1 | 5/13/24 | 5/6/24 | 5/7/24 | 5/8/24 | 5/10/24 | 6/22/24 | 6 weeks |
| Summer 2 | 6/23/24 | 6/17/24 | 6/18/24 | 6/19/24 | 6/21/24 | 8/2/24 | 6 weeks |
| Fall 1 | 8/20/24 | 8/14/24 | 8/15/24 | 8/16/24 | 8/19/24 | 10/9/24 | 7 weeks |
| Fall 2 | 10/15/24 | 10/9/24 | 10/10/24 | 10/11/24 | 10/14/24 | 12/8/24 | 7 weeks |
| Spring 1 | 1/8/25 | 1/8/25 | 1/9/25 | 1/10/25 | 1/13/25 | 3/5/25 | 7 weeks |
| Spring 2 | 3/11/25 | 3/5/25 | 3/6/25 | 3/7/25 | 3/10/25 | 5/6/25 | 7 weeks |
| Summer 1 | 5/12/25 | 5/6/25 | 5/7/25 | 5/8/25 | 5/9/25 | 6/21/25 | 7 weeks |
Admissions
Check out the admission requirements for our online information systems degree
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 Information Systems online, including where to send your transcripts.
The requirements include:
You must meet the following requirements for admission to the MS in Information Systems 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 Admissions
Murray State University
B2 Sparks Hall
Murray, KY 42071
Questions? Call 866-906-0541.
Courses
Take a look at what you’ll study in our MS in Information Systems online
For the MS in Information Systems online, you must complete 21 credit hours of core courses and nine credit hours of electives.
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
- 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
- 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
- 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
- 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
- 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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