Master of Business Administration with a Specialization in Business Analytics Online
Diversify your career options and take advantage of the growing demand for business analytics professionals in the Master of Business Administration in Business Analytics online program that will develop your technical skills and improve your corporate decision-making.
Program Overview
Discover what our online MBA in Business Analytics offers you
Capitalize on the growing need for qualified management analysts with the MBA in Business Analytics online program from the University of North Carolina Wilmington.
In this 100% online, AACSB-accredited business analytics master’s degree program, you will also deepen your knowledge in general business operational areas, including business law, accounting, information analysis, business analysis, operations management, economics, corporate finance, marketing, strategic management, and more. Take the next step in your career by completing your MBA in a few months.
Immerse yourself in analytics through our rigorous coursework that focuses on descriptive, prescriptive and predictive analytics. Learn how to access and analyze data in order to generate informative, actionable reports. Examine statistical inference as applied to management decision making and develop skills for implementing statistical analysis in real situations. Learn to develop and use modeling techniques and explore computer-intensive methods for model selection, parameter estimation, and validation.
The Cameron School of Business features a top-notch faculty committed to your success. Your courses will be taught by full-time professors with terminal degrees and practical management experience in the private sector.
This AACSB-accredited business master's program requires far less financial investment than comparable MBA programs at other business schools in North Carolina. Benefit from accelerated 7-week courses, with no prerequisites or foundation courses required.
In this online MBA with a business analytics specialization, you will learn:
- Prescriptive analytics modeling techniques for optimization, simulation and decision making
- Techniques and algorithms from statistical and machine learning disciplines
- Programming foundations, application development, and how to integrate applications with business operations
- Prescriptive analytics modeling techniques for optimization, simulation and decision making
- Techniques and algorithms from statistical and machine learning disciplines
- Programming foundations, application development, and how to integrate applications with business operations
Career roles for graduates of this MBA include
- Data Scientist with an emphasis on computer science
- Quantitative Analyst
- Data Business Analyst
- Business Analyst Manager
- Business Analyst Consultant
- Data Scientist with an emphasis on computer science
- Quantitative Analyst
- Data Business Analyst
- Business Analyst Manager
- Business Analyst Consultant
Also available:
UNCW offers a variety of online business programs, including an Executive MBA and an online master's in business analytics.
Accreditation:
UNCW's Cameron School of Business is accredited by AACSB International (AACSB).
Tuition
Our budget-friendly tuition can be paid as you go
Designed to be affordable and convenient, our tuition is an outstanding value and far less of a financial investment than many other North Carolina universities. We also offer pay-by-the-course tuition for our online programs. Financial aid is available for those who qualify.
Tuition and fees are subject to change each academic year pending legislative approval. View more information on your cost of attendance.
| Program | Total Tuition & Fees* |
|---|---|
| MBA – Business Analytics (in-state residents) | $19,920.96 |
| MBA – Business Analytics (out-of-state residents) | $54,023.04 |
*Estimated tuition and fees are for the full program of study, presuming students are enrolled part-time. Please note the above amounts are estimates of tuition and fees only, based on current tuition rates (2024-2025). Textbooks, class materials, and future tuition and fee increases are not included. Additionally, university tuition is subject to change on an annual basis at the discretion of the UNC System Board of Governors.
Tuition breakdown:
Calendar
Milestones to guide your student journey
The MBA with a Specialization in Business Analytics program is delivered in an online format ideal for working professionals, conveniently featuring rolling admission and six start dates each year. Choose the start date that best suits your goals.
| Term | Program Start Date | Application Deadline | Document Deadline | Registration Deadline | Payment Due | Last Class Day |
|---|---|---|---|---|---|---|
| Summer 1 | 5/12/25 | 4/19/25 | 4/19/25 | 5/14/25 | 5/15/25 | 6/29/25 |
| Summer 2 | 6/30/25 | 6/7/25 | 6/7/25 | 7/2/25 | 7/7/25 | 8/17/25 |
| Fall 1 | 8/25/25 | 8/2/25 | 8/2/25 | 8/27/25 | 8/28/25 | 10/12/25 |
| Fall 2 | 10/20/25 | 9/27/25 | 9/27/25 | 10/22/25 | 10/23/25 | 12/7/25 |
Students must register for courses by 5 p.m. (EST) on the registration deadline date.
Students must remit tuition payment by 10 a.m. (EST) on the tuition deadline date.
Now enrolling:
Admissions
Find your fit with our business analytics MBA online program
To apply for the business analytics MBA online program, you must hold a bachelor's degree from a regionally accredited college or university in the United States or its equivalent from a foreign institution by the first official day of class for the semester of application. Because UNCW considers applications on a rolling basis, you are urged to apply promptly for your preferred start date.
Admission Requirements:
- GMAT waived through 2025
- Cumulative GPA of at least 3.0
- Resume and cover letter
MBA Online Admission Requirements
Candidates are required to submit the following to the Graduate School:
- An application for graduate admission.
- Official transcripts of all college work (graduate and undergraduate). Official transcripts from all colleges/universities attended should be mailed directly from the institution(s) to UNCW at the address below. Electronic password protected transcripts are preferred and may be sent directly from the institution to [email protected].
- UNCW Graduate School
Attn: Kimberly Goerne Harris
601 S. College Road
Wilmington, NC 28403-5955
- Two online recommendations including one from an employer or supervisor who can comment on the applicant’s work experience and potential for successful completion of a master’s program. Letters of recommendation may be waived if an applicant meets one or more of the following criteria:
- Five or more years of progressive managerial or military work experience
- A cumulative undergraduate GPA of 3.2 or higher
- Completion of an advanced degree (graduate level or above) involving some quantitative coursework
- Resume and cover letter (statement of interest) indicating how your background has prepared you for the MBA program.
- A minimum of two years full time, post-baccalaureate professional work experience required for MBA programs.
- A minimum of 5 years full time, post-baccalaureate professional work experience is required for the MBA Executive Concentration.
- Cumulative GPA of 3.0 or higher in undergraduate work. Applicants with an undergraduate GPA below 3.0 must demonstrate professional experience/advancement that shows progression since graduation and indicates how they will contribute to the program.
- A GMAT score above 500, or an equivalent GRE. However, the GRE/GMAT is currently waived through the 2025 cycle for all programs.
- A minimum score of 79 on the internet based TOEFL iBT test or 6.5 on IELTS test is required for all non-native English speakers only, unless applicant earned their baccalaureate degree from a regionally accredited US institution. Scores are good for two years from the date the test is administered.
- Application and all required supplemental documents must be submitted by the published deadline.
Have a question? Call us at 855-306-4734.
Courses
A look at the business analytics master’s degree curriculum
The MBA with a Specialization in Business Analytics online curriculum is comprised of 12 courses (36 credit hours), including nine credit hours of coursework from the Master of Science in Business Analytics program.
Upon completion of the course, the student will be able to:
- Clearly understanding the significance and applications of descriptive analytical tools
- Identify the nature and usefulness of data and conduct the appropriate descriptive analysis of the data
- Leverage descriptive analytics in supporting informed and strategic business decision-making processes
Upon completion of the course, the student will be able to:
- Understand a scientific approach to solving management problems to help managers make better decisions
- Identify the nature and usefulness of prescriptive analytical tools and conduct the appropriate modeling techniques to solve business problems
- Use prescriptive analytical tools to assist in making business decisions
Upon completion of the course, the student will be able to:
- Recognize fundamental predictive analytics concepts and terminology
- Access and prepare data for use with predictive analytics techniques
- Perform feature transformation and selection
- Select and build appropriate predictive analytics models for quantitative response variables
- Select and build appropriate predictive analytics models for non-quantitative response variables
- Distinguish between supervised and unsupervised learning approaches
- Identify opportunities to apply predictive analytics in a variety of contexts
Upon completion of the course, the student will be able to:
- Install and navigate through the statistical software package (i.e., R)
- Create scripts within R to reuse code and demonstrate working with various packages including installation and loading within the R environment
- Explain and demonstrate fundamental programming skills such as data types, storage, etc.
- Explain and demonstrate how to import and work with various data in the R environment
- Demonstrate data manipulation including cleaning data, subsetting, etc.
- Demonstrate data visualization using various plots such as scatterplots, boxplots, etc.
- Demonstrate how to manipulate and read data using functions included in the Tidyverse package
- Create output of statistical analyses through the use of RMarkdown
- Perform basic statistical analysis using base R
- Perform plotting and exploratory analysis within the R Package Tidyverse
- Transform data within an existing data set using the dplyr function
- Combine relational tables using the dplyr functions
- Wrangle data using the tidyverse packages readr and tidyr
- Demonstrate how to use other statistical packages/programming languages (e.g., Python) to run similar analyses
**Students taking a full-time course load throughout the program can complete it in as few as 12 months. Consult with your advisor.
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