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.

Apply by 12/7/24
Start class 1/13/25 Apply Now
Apply Now

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
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

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
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

Also available:

UNCW offers MBA programs in a variety of in-demand specializations as well as an Executive MBA and an M.S. program. View our business programs.

Total Tuition $19,287*
Duration As few as 12 months*
Credit Hours 36

Accreditation:

AACSB Accredited

UNCW's Cameron School of Business is accredited by AACSB International (AACSB).

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Need More Information?

Call 855-306-4734

Call 855-306-4734

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.

View additional tuition information+

Program Total Tuition & Fees*
MBA – Business Analytics (in-state residents) $19,287
MBA – Business Analytics (out-of-state residents) $51,458.76

*N.C. resident tuition and fees. Part-time tuition rate. Full-time tuition rate may be lower. Consult with your advisor. Total tuition and fees may vary by student and are subject to change. Learn more.

**Students taking a full-time course load throughout the program can complete it in as few as 12 months. Consult with your advisor.

Tuition breakdown:

Total Tuition $19,287*

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.

View full calendar  + 

TermProgram Start DateApplication DeadlineDocument DeadlineRegistration DeadlinePayment DueLast Class Day
Spring 11/13/2512/7/2412/14/241/15/251/16/253/2/25
Spring 23/10/252/8/252/15/253/12/253/13/254/27/25
Summer 15/12/254/12/254/19/255/14/255/15/256/29/25
Summer 26/30/255/24/255/31/257/2/257/3/258/17/25
Fall 18/25/258/2/258/2/258/27/258/28/2510/12/25
Fall 210/20/259/27/259/27/2510/22/2510/23/2512/7/25

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:

Apply Date 12/7/24
Class Starts 1/13/25

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:

  • Official transcript
  • Cumulative GPA of at least 3.0
  • Resume and cover letter
View all admission requirements +

MBA Online Admission Requirements:

  • Minimum of two years full-time, professional post-baccalaureate work experience required for MBA programs
  • Resume and cover letter (statement of interest) indicating how your background has prepared you for the MBA program
  • Two letters of recommendation
  • Cumulative GPA of 3.0 or better 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, which is waived if you meet one of the following requirements:
    • Five or more years of managerial work experience
    • An undergraduate GPA of 3.2 or higher
    • Completed an advanced degree (graduate level or above) involving some quantitative coursework

Official transcripts from all colleges/universities are required.

Electronic Method (Preferred):
Password protected transcripts may be sent directly from the institution to [email protected]

Paper Method – Official Transcripts (Envelope Sealed by the Institution):

UNCW Graduate School
Attn: Kimberly Goerne Harris
601 South College Rd
Wilmington, NC 28403-5955

Have a question? Call us at 855-306-4734.

Please note: The GMAT/GRE is currently waived through the 2024 cycle for all programs.

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.

Expand All
As a student in the MBA with a Specialization in Business Analytics online program, you must take the following core courses.
Duration: 7 Weeks weeks
Credit Hours: 3
This course covers statistical inference as applied to management decision making and focuses on building linear statistical models and developing skills for implementing statistical analysis in real situations. Applications require the use of statistical analysis programs on the computer.
Duration: 7 Weeks weeks
Credit Hours: 3
Examination of the constitutional, legislative, judicial, regulatory, and public policy forces exerted on the business environment. Particular focus on contracts, torts, and property law.
Duration: 7 Weeks weeks
Credit Hours: 3
An intensive course in principles and theory of financial and managerial accounting, with an emphasis on financial analysis and managerial decision making.
Duration: 7 Weeks weeks
Credit Hours: 3
This course is designed to introduce major information technology (IT) concepts and important issues that business managers face when using, developing and managing information systems (IS). Strategic and tactical issues of information systems and technology are addressed as they support and lead the operations of the organization.
Duration: 7 Weeks weeks
Credit Hours: 3
Survey of the basic concepts, theories, and techniques for the management of operating systems. Development of concepts and decision processes critical to short-run and long range organizational decision making. Topics include product and process design, operations planning, project management, inventory management, capacity planning, quality and scheduling.
Duration: 7 Weeks weeks
Credit Hours: 3
This course covers principles of micro and macroeconomics. The initial focus is on an analysis of decision making processes and economic equilibrium for consumers and individual firms. Also covered is basic data and measurements used in describing the macro economy.
Duration: 7 Weeks weeks
Credit Hours: 3
A broad survey of finance concerned with the money-management decisions of the individual and the firm. Study includes the tools and terms that the corporate and individual financial manager employs as he or she conducts his or her financial affairs. Value-creation for the firm, the use of financial statements, the importance of cash flows, the measurement of risk, investment decision-making, the use of the securities and derivatives markets, asset-pricing models, estimating value of income-producing assets and international financial issues will be reviewed. These topics and the foundation we build in this course will be supplemented with regular reference to contemporary issues in finance.
Duration: 7 Weeks weeks
Credit Hours: 3
An introduction to the principles of marketing and basic marketing methods and tools needed to make effective marketing decisions. Lectures and projects regarding new product development, customer relationship management, and other key marketing concepts will expose students to marketing principles and require them to formulate marketing tactics and strategies.
Duration: 7 Weeks weeks
Credit Hours: 3
Course focus will be on the challenges confronting firms competing domestically and internationally with an emphasis placed on the integration of strategies with the structures and systems needed for successful implementation.
Duration: 7 Weeks weeks
Credit Hours: 3
This course surveys management theories, research, and concepts about the structure and processes of complex business organizations. Emphasis on the development and assessment of core management skills. Topics include self-awareness, problem solving, conflict resolution, communication, motivation, team building, human resource management, and leadership.
You must choose two of the following courses to complete your degree requirements.
Duration: 7 Weeks weeks
Credit Hours: 3
This course introduces students to the field of prescriptive analytics. Students will learn how to develop and use modeling techniques used extensively in the business world. Both mathematical and spreadsheet skills in MS Excel are utilized for performing optimization, simulation, and decision analysis techniques.
Duration: 7 Weeks weeks
Credit Hours: 3
This course explores computer-intensive methods for model selection, parameter estimation, and validation for predictive analytics. The course focuses on techniques and algorithms from the statistical and machine learning disciplines and has a strong programming component. Example topics in this course include ordinary least squares regression, logistic regression, multinomial logistic regression, classification and regression trees, neural networks, support vector machines, naïve Bayes, principal components analysis, cluster analysis, and regularization. Each technique is accompanied with a focus on application and problem-solving.
Duration: 7 Weeks weeks
Credit Hours: 3
This course introduces the essential general programming concepts and techniques to a data analytics audience with limited or no prior programming experience. Students will learn programming foundations, application development in R and Python, and how to integrate applications with business operations in this class. The course covers hands-on issues in programming for analytics, which includes accessing data, manipulate data objects, analyze data using common statistical methods, generate reproducible statistical reports, and creating informative data graphics. The course introduces software techniques to write functions, debug, and organize and comment code.
Duration: 7 Weeks weeks
Credit Hours: 3
Fundamentals of Data Center technologies and management. Students learn the roles of databases, computing hosts, connectivity, and storage in a data center. The details of storage technologies, storage network protocols and computing architectures are covered. Management and design considerations such as virtualization of resources, metered usage, business continuity, recovery, replication, and security are also discussed.

**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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