Master of Science in Information Systems with a concentration in Business Analytics online

This in-demand degree prepares you to use data at an executive level to make strategic decisions for businesses and enterprises.

Apply by: 1/9/23
Start Class: 1/18/23

Program Overview

Explore our online MSIS in Business Analytics

$16,455* Total Tuition
As few as 12-18 months Program Duration
30 Credit Hours

The Master of Science in Information Systems with a concentration in Business Analytics online program from Murray State prepares you to become an effective business and technology leader who can address important organizational problems using data and technology. 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 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.

As a graduate of this online MSIS 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

Have questions or need more information about our online programs?

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 MSIS Business Analytics online program offers affordable, pay-by-the-course tuition. All fees are included.

Tuition breakdown:

$548.50 Per Credit Hour
$16,455* Total Tuition
Program Per Credit Hour Per Course Per Program
MSIS – Business Analytics $548.50 $1,645.50 $16,455*

*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.

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:

1/9/23 Next Application Deadline
1/18/23 Start Classes
TermStart DateApplication DeadlineDocument & Financial Aid DeadlineRegistration DeadlineTuition DeadlineLast Class DayTerm Length
Fall 210/16/2210/5/2210/7/2210/11/2210/13/2212/4/227 weeks
Spring 11/18/231/9/231/11/231/12/231/13/233/5/237 weeks
Spring 23/8/232/28/233/2/233/3/233/6/234/30/237 weeks
Summer 15/15/235/5/235/9/235/10/235/11/236/24/236 weeks
Summer 26/25/236/18/236/20/236/21/236/22/238/4/236 weeks
Fall 18/15/238/6/238/8/238/10/238/11/239/30/237 weeks
Fall 210/11/2310/2/2310/3/2310/8/2310/9/2311/29/237 weeks
Ready to take the next step toward earning your degree online from Murray State?

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 MSIS Business Analytics online, including where to send your transcripts.

The requirements include:

Online application accepted on a rolling basis
Bachelor’s degree FROM A 4-YEAR DOMESTIC INSTITUTION
Transcripts from all colleges and universities previously attended
2.75 GPA ON UNDERGRADUATE COURSEWORK

You must meet the following requirements for admission to the MSIS Business Analytics 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 the online MSIS curriculum

For the MSIS Business Analytics online, you must complete 21 credit hours of core courses and nine credit hours of electives.

Duration: 7 weeks
Credit Hours: 3
Explores methodologies and practices used in the contemporary software development projects from the managerial and technical perspectives. From the managerial perspective, it covers software life cycle models, object-oriented methodologies, rapid development methodologies, agile modeling, software design principles and methods, verification and testing methods, and software process maturity models. On the technical side, it explores solutions that are currently available that aid in implementing these models and methodologies.

Learning Outcomes

  1. Describe computers and programming
  2. Develop software using conditional and control statements
  3. Identify and employ appropriate data structures
  4. Create custom functions
  5. Manage and manipulate multi-dimensional data
  6. Read and process data files
  7. Design and develop object-oriented applications
Duration: 7 weeks
Credit Hours: 3
Study of the theories and techniques of computerized decision support and expert systems. The practical application of these systems to problems of business and industrial organizations is stressed. A major part of the course will be devoted to the use of appropriate decision support and expert system computer software.

Learning Outcomes

  1. Use statistical modeling for business analytics
  2. Develop visualization for business intelligence
  3. Employ Techniques such as prediction, clustering, associations, and forecasting
  4. Create and use Predictive modeling using artificial neural networks, and support vector machines
  5. Analyze textual data for sentiment analysis and social analysis
  6. Use Linear programming techniques and
  7. Describe Expert systems and chatbots
Duration: 7 weeks
Credit Hours: 3
This course provides the student with a comprehensive introduction to databases, the technical skills required to plan, implement and maintain a databases using appropriate software. A significant part of the course will be spent on development of Structured Query Language (SQL) queries and processes to extract (E) data from multiple sources, transform (T) data as needed and the loading (L) of the same into data warehouses (ETL).

Learning Outcomes

  1. Express database terminology accurately, and design relational databases
  2. Write SQL queries to manage data and query the database
  3. Use popular tools to create the structure for a data warehouse
  4. Extract (E) data from a variety of sources.
  5. Transform (T) extracted data by adding/removing data as needed
  6. Loading (L) the database with data after the extraction and transformation processes are completed
  7. Automate the ETL
  8. Describe common DWH architectures
  9. Identify and document the potential business value of an ETL project
Duration: 7 weeks
Credit Hours: 3
A study of data communication, network infrastructure, transmission technologies, and hardware/software components that support modern business communications. Designed to provide students with the technical foundation to manage and secure contemporary data networks.
Duration: 7 weeks
Credit Hours: 3
This course is designed to provide an in-depth understanding of key ideas, practices, issues, concepts, artifacts, frameworks, and theories of project management in the context of IT, telecommunications, and cyber security. Special emphasis is put on understanding of how projects align with the overall strategy of an organization and how well-planned projects can help an organization achieve positive results in relation to operations, competitive advantage, and security.

Learning Outcomes

  1. Describe key concepts of Project Management in the IT context
  2. Work effectively as a part of a team working on a project using the Scrum Project Management framework
  3. Create a Project Management Plan
  4. Evaluate the main roles, processes, and artifacts of Agile and Data Science methodologies
  5. Communicate effectively in written form in the context of Project Management
Duration: 7 weeks
Credit Hours: 3
This course provides the knowledge required to appreciate the functions and benefits of Enterprise Resource Planning (ERP) systems. Students will learn the impact of an ERP system, how ERP software integrates business functions, and how to make current business functions compatible with and ERP system. The students will also develop an appreciation of live, interactive information from an ERP system and the value of its availability throughout the organization.

Learning Outcomes

  1. Describe the importance of enterprise-wide information systems.
  2. Distinguish between organizational data, master data and transaction data in different functional areas.
  3. Carry out common business process functions such as – Sales, Purchasing, Manufacturing, Accounting, Warehouse Management and Materials using SAP ERP application.
  4. Identify types of reports for managers to improve performance.
  5. Define key terms and concepts to prepare for SAP certification exam.
Duration: 16 weeks
Credit Hours: 3
This course consists of an independent, in-depth study of a topic or problem in computer information systems under the direct supervision of a faculty member. Periodic conferences will be arranged with the supervising faculty member on an individual basis.

Learning Outcomes

  1. Analyze the problem, understand the scope and complexity of the project
  2. Gather, organize, and document user requirements
  3. Identify alternate approaches to solving the problem
  4. Develop a solution that solves the organizational problem
  5. Demonstrate the implemented solution
  6. Communicate effectively in written and verbal forms
Duration: 7 weeks
Credit Hours: 3
Business analytics refers to the techniques and practices of statistical data analyses useful to business organizations. This course covers the fundamental concepts of data analysis, and intermediary concepts such as predictive analysis and prescriptive analysis. The analytical techniques covered include visualization, regression, forecasting, simulation, optimization and risk analysis. Students get to learn and use advanced spreadsheet functions and visualization tools to analyze business data.

Learning Outcomes

  1. Possess a strong Business Analytics vocabulary.
  2. Utilize spreadsheet and data visualization software to organize, screen, and preprocess the data.
  3. Use descriptive, predictive, and prescriptive data analytics tools.
  4. Understand how and why Business Analytics techniques could be applied to assist business decision making.
  5. Gain a fundamental understanding of how to construct spreadsheet models for the purposes of conducting quantitative analysis of business problems.
  6. Demonstrate the ability to interpret analysis results, evaluate alternatives, and to apply basic sensitivity analysis in the support of a managerial decision maker.
Duration: 7 weeks
Credit Hours: 3
Course provides a conceptual overview of data mining techniques that are used to discover patterns, to predict trends, and to classify observations. In addition, the course includes hands-on practice using modern analytic software and analysis of contemporary business case studies.

Learning Outcomes

  1. Adapt logical reasoning to approach data-rich problems in a business context.
  2. Identify, analyze, and apply relevant data via information technology tools appropriately in the analysis of business problems.
  3. Use decision-making and problem-solving processes.
  4. Examine the data, problems, and analysis tools.
  5. Apply the most appropriate business analytic models for the given problems.
  6. Interpret and convey results to a business audience effectively.
Duration: 7 weeks
Credit Hours: 3
Software applications development in analytics draws on requirements analysis skills, data management skills, data analysis skills, and programming skills. This course will focus on techniques and tools for developing analytics applications. Students will get to complete numerous analytics mini-projects.

Learning Outcomes

  1. Install and use an analytics platform
  2. Source, clean, visualize, analyze, and present data using an analytics platform
  3. Create data analytics products
  4. Communicate the results of a Data Science project in written form.

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