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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.

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Program Overview

$15,990* 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 prepares effective business and technology leaders 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. This program will prepare you to become an effective leader for the digital age.

Our faculty are experts in Data Science, Business Analytics, and Information Systems; most importantly, they are committed to your success. They are well-versed in such 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.

As a graduate of this online program, you will be able to:

This program prepares you for roles such as:

Have questions or need more information about our online programs?

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

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

Tuition breakdown:

$533 Per Credit Hour
$15,990* Total Tuition

View full tuition breakdown [+]

Program Per Credit Hour Per Course Per Program
MSIS Business Analytics $533 $1,599 $15,990*

*Proposed rate subject to approval by the Murray State University Board of Regents and the Kentucky Council on Postsecondary Education.

Calendar

Murray State University online programs are delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.

Now enrolling:

Next Application Deadline
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Term Start Date Application Deadline Document Deadline Registration Deadline Tuition Deadline Last Class Day
Fall 1 08/18/20 08/06/20 08/12/20 08/14/20 08/14/20 09/30/20
Fall 2 10/12/20 09/25/20 10/02/20 10/05/20 10/06/20 12/04/20

Ready to take the next step toward earning your degree online from Murray State?

Admissions

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:

The requirements include:

Online application accepted on a rolling basis
Bachelor’s degree from an accredited institution
Transcripts from all colleges and universities previously attended
2.75 GPA on undergraduate coursework

View all admission requirements [+]

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

  • Bachelor’s degree from a 4-year domestic 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: msu.graduateadmissions@murraystate.edu

Mail address:

Graduate Admissions
Murray State University
B2 Sparks Hall
Murray, KY 42071

Questions? Call 866-906-0541.

Courses

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

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Students must take the following courses, including either CIS 695 or CIS 688.

CIS 650: Software Development

Duration: 7 weeks   |   Credit Hours: 3

Explores the methodologies and practices used in 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 to aid in implementing these models and methodologies.

CIS 645: Decision Support and Expert Systems

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.

CIS 609: Data Management

Duration: 7 weeks   |   Credit Hours: 3

Course provides the student with a comprehensive introduction to databases, the technical skills required to plan, implement and maintain 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).

CIS 601: Telecommunications Principles

Duration: 7 weeks   |   Credit Hours: 3

A graduate-level introduction to the underlying principles of telecommunications. This course presents the problems and solutions involved in communicating over extended distances. Topics include: fundamental physical and electronic concepts; information theory; types of media; requirements and capacity calculations; modulation and multiplexing methods; standards and architectures; modern applications and issues. Throughout the presentation of the technical fundamentals, discussion will focus on relevant management issues such as cost, infrastructure, support, and business advantage.

CIS 603: Telecommunications Project Management

Duration: 7 weeks   |   Credit Hours: 3

Introductory project management course where students acquire key project competencies. Students will learn how to apply the competencies to implement project management processes established by the Project Management Institute Body of Knowledge (PMBOK® Guide).

CIS 648: Enterprise Resource Planning

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 an 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.

CIS 695: Comprehensive Project in Computer Information Systems

Duration: 7 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.

CIS 688: Graduate Internship in Information Systems

Duration: 7 weeks   |   Credit Hours: 3

Application of knowledge and skills developed in core courses in an organizational environment to solve Information Systems problems. Emphasizes practical industry experience. Periodic reports and a final comprehensive report at the end of the internship project period are submitted to the departmental graduate committee. A formal presentation is also required.

CIS 623: Introduction to Business Analytics

Duration: 7 weeks   |   Credit Hours: 3

Business analytics refers to the techniques and practices of statistical data analysis useful to business organizations. This course covers the fundamental concepts of data analysis and intermediary concepts such as descriptive, predictive 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 as well as visualization tools to analyze business data.

CIS 643: Advanced Business Analytics

Duration: 7 weeks   |   Credit Hours: 3

Course provides a conceptual overview of data mining techniques that are used to discover patterns, predict trends and classify observations. In addition, the course includes hands-on practice using modern analytic software and analysis of contemporary business case studies.

CIS 663: Developing Analytics Applications

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.

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