Master of Business Administration - Business Analytics Emphasis Online

Learn how to use data to make better, more informed business decisions with the Master of Business Administration – Business Analytics Emphasis online program from Southern Utah University.

Apply by: 5/6/24
Start class: 5/13/24
Apply Now

Program Overview

Learn more about this online business analytics MBA program

Total Tuition: $16,005
Program Duration: As few as 12 months
Credit Hours: 33

Prepare to analyze and apply data to make strategic business decisions in the Master of Business Administration – Business Analytics Emphasis online program from Southern Utah University. By balancing technical skills with general business expertise, this in-demand program enables you to effectively manage business operations and improve processes.

Learn from instructors with professional analytics experience while you study programming for data management and visualization; data manipulation and modeling; and descriptive, predictive and prescriptive methods in data analytics from a practical business perspective. Plus, our core coursework deepens your foundational business knowledge in areas such as accounting, finance, economics and more. This 100 percent online program emphasizes project-based learning, with an integrated capstone course focused on applying your MBA learnings in order to develop strategic solutions to management challenges in any organization.

As a graduate of this program, you will:

  • Develop a comprehensive understanding of current analytical tools
  • Address complex data-driven challenges in the business environment using analytical methods and tools
  • Effectively use strategic analysis and decision-making skills, supported by appropriate quantitative methods and information technology
  • Develop a comprehensive understanding of current analytical tools
  • Address complex data-driven challenges in the business environment using analytical methods and tools
  • Effectively use strategic analysis and decision-making skills, supported by appropriate quantitative methods and information technology

This program prepares you for business analytics jobs such as:

  • Business Analytics Manager
  • Data Science and Analytics Manager
  • Strategy Consultant
  • Director of Business Intelligence
  • Business Enterprise Manager
  • Financial or Marketing Analyst
  • Business Analytics Manager
  • Data Science and Analytics Manager
  • Strategy Consultant
  • Director of Business Intelligence
  • Business Enterprise Manager
  • Financial or Marketing Analyst

Accreditation

AACSB logo

The Dixie L. Leavitt School of Business is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).

Also available

The School of Business offers multiple specialized MBA online areas of emphasis. View all of our areas of emphasis here.

Need more information?

Call 833-994-0043

Call 833-994-0043

Total Tuition: $16,005
Program Duration: As few as 12 months
Credit Hours: 33

Accreditation

AACSB logo

The Dixie L. Leavitt School of Business is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).

Apply Now

Need more information?

Call 833-994-0043

Call 833-994-0043

Tuition

Discover our affordable MBA tuition

Maximize the value of your MBA online with our affordable, pay-by-the-course tuition, which includes all fees.

Tuition Breakdown

Per Credit Hour: $485
Total Tuition: $16,005*

Program Per Credit Hour Per Course Per Program
MBA BA $485 $1,455 $16,005*

*Tuition price reflects 33-credit-hour program. Students who do not have a business undergraduate degree from an AACSB-accredited business school must take an additional 3-credit-hour corequisite Foundations course in their first term. Students can be fully admitted to the MBA program prior to taking the Foundations course.

Tuition Breakdown

Per Credit Hour: $485
Total Tuition: $16,005*

Calendar

Here are the dates you need to know

Designed for working professionals, SUU online programs conveniently feature 7-week courses and multiple start dates each year.

Now Enrolling

Next Apply Date: 5/6/24
Next Class Start Date: 5/13/24
TermStart DateApplication DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineLast Class Day
Spring II3/4/242/26/242/26/242/28/243/4/244/21/24
Summer I5/13/245/6/245/6/245/8/245/13/246/30/24
Summer II7/1/246/24/246/24/246/26/247/1/248/18/24
Fall I8/28/248/21/248/21/248/23/248/28/2410/15/24
Fall II10/16/2410/9/2410/9/2410/11/2410/16/2412/3/24
Spring I1/8/251/1/251/1/251/3/251/8/252/25/25

Now Enrolling

Next Apply Date: 5/6/24
Next Class Start Date: 5/13/24

Need more information about our online programs?

Ready to take on the next steps toward earning your degree?

Admissions

How to get started on your online MBA in business analytics

Our streamlined admission process enables you to start quickly and easily. Please read the requirements for the MBA online, including what additional materials you need and where you should send them. Requirements include:

Admission Requirements

  • Bachelor’s degree from a regionally accredited institution
  • 2.5 GPA
  • NO GMAT Required

Foundation course

Students may be required to take a 3 credit hour Foundations course based on a holistic review of the application and supporting documents with special consideration of undergraduate major, GPA and relevant work experience. Students will be notified of their course sequence at the time of admission.

Transcripts

Please submit official transcripts from the college/university in which a bachelor's, master's or doctoral degree from an accredited institution was obtained.

  • Applicants who have graduated from SUU do not need to submit a transcript
  • International transcripts must include a transcript evaluation from a third-party service such as SpanTran or WES showing that the degree is equivalent to a U.S. bachelor's degree

Official transcripts must be mailed or emailed directly from the granting institution(s) to:

Email address:
[email protected]

Mailing address:
Admissions Office
Southern Utah University
PO Box 8008
Cedar City, Utah 84720

Courses

We have details on the graduate courses you will take

For the MBA in Business Analytics online program, you must complete 24 credit hours of core courses, including a capstone strategy course, and 9 credit hours of emphasis courses. Students may be required to take a 3 credit hour business foundations course based on a holistic review of the application and supporting documents with special consideration of undergraduate major, GPA and relevant work experience. Students will be notified of their course sequence at the time of admission.

If you are required to take this course, it must be taken first and cannot be taken at the same time as another course.

Duration: 7 Weeks weeks
Credit Hours: 3
This accelerated and condensed course covers the essential concepts of Business Statistics, Microsoft Excel, Financial and Managerial Accounting and Corporate Finance that are necessary for success in subsequent graduate level business administration courses.
Duration: 7 Weeks weeks
Credit Hours: 3
This course examines the principles of organizational behavior involved in managing people and organizations in a business environment. Topics include leadership, motivation, effective teams, conflict and negotiations, power and influence, organizational culture, and change management. This course focuses on the practical application of these principles in a meaningful and ethical manner. **FIXED FIRST COURSE for all MBA STUDENTS unless you are required to take BA 6000. If BA 6000 is required, you will receive a course sequence from your academic advisor. This fixed-first does not apply to students in the MSN/MBA dual degree program or the MS in Cybersecurity with Information Assurance - Management program.**
Duration: 7 Weeks weeks
Credit Hours: 3
The management of operations and supply chain, including such topics as competitive strategy, product and service design, quality management, process improvements, supply chain management, work design management, logistics, and selected areas of operations research. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
Duration: 7 Weeks weeks
Credit Hours: 3
The purpose of the course is to enable students to prepare themselves to become leaders of organizations and to embark on paths of personal leadership development. The course requires personal curiosity and reflection from students as well as personal openness and sharing in class discussions. Leadership development concepts used in the course will be immediately applicable for students and useful for the rest of their lives. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
Duration: 7 Weeks weeks
Credit Hours: 3
This course reviews the development and use of management accounting information systems in planning and control activities. Using case studies of actual companies, its focus is on new management accounting practices adopted by the innovative companies around the world.
Duration: 7 Weeks weeks
Credit Hours: 3
Application of microeconomic principles to business management and strategy. Includes fundamental topics in microeconomic theory, industrial organization, and organizational economics. Uses business case analysis. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
Duration: 7 Weeks weeks
Credit Hours: 3
This course examines the capital budgeting process, including estimating the cost of capital and cash flows, correct application of decision rules, and ways of analyzing and dealing with uncertainty in your forecasts. It also discusses key topics in financial management, such as optimal leverage, raising capital for the firm, and equity payout policies. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
Duration: 7 Weeks weeks
Credit Hours: 3
This course focuses on reinforcing, extending, and applying marketing concepts, principles, and techniques through readings, case studies, and secondary research. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
Duration: 7 Weeks weeks
Credit Hours: 3
This course is the capstone course for the MBA, and as such, it will integrate the methods and tools developed in the curriculum to solve the strategic positioning and management issues of the organization. This course is usually taken in the student's final semester. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
Students must take the three following courses for the MBA Business Analytics program.
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to programming basics (what it is and how it works), binary computation, problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, arrays, inheritance and object oriented design.
Duration: 7 Weeks weeks
Credit Hours: 3
This course focuses on research and applications in advanced database systems for Cloud and Big Data Computing. Advanced database research has produced a collection of powerful and successful NoSQL (Not Only SQL) database systems. During this course we will cover Amazon’s DynamoDB, MongoDB, Spark Streaming and MapReduce.
Duration: 7 Weeks weeks
Credit Hours: 3
This course provides an overview of advanced machine learning, data mining and data analytics applications. The main topics of the course can be organized as follows: Anomaly and Outlier Detection, Categorical and Regression Trees (CART), Time-series, K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), Gradient Boosting (GB), Random Forests (RF), Cluster Analysis, Support Vector Machines (SVM). (Fall - 2nd Session) [Graded (Standard Letter)]
Duration: 7 Weeks weeks
Credit Hours: 3
An introduction to data science methods in business. Includes an introduction to programming for data manipulation and modeling. Provides an overview of descriptive, predictive, and prescriptive methods in data analytics from a practical business perspective, with a focus on direct application to current data-driven decision-making.
Duration: 7 Weeks weeks
Credit Hours: 3
A continuation of ANLY 6010. Covers the primary analytic techniques involved in data mining for business problem-solving, including advanced regression, decision trees, kNN, and others. Introduces unsupervised learning methods. Builds on the programming skills established in Business Analytics I. Prerequisite(s): ANLY 6010
Duration: 7 Weeks weeks
Credit Hours: 3
An introduction to the methods and tools for database management and data visualization with a particular focus on industry analytics. Database topics include the logical structure of databases as well as the methods and technology for efficient data storage, retrieval, and presentation. Visualization topics include an overview of the Tableau software for data visualization and discussion of data visualization principles. Emphasizes skills in retrieving and presenting data for business presentation.

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