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MBA with a Specialization in Business Analytics Online

Cameron School of Business
MBA in Business Analytics - University of North Carolina Wilmington Online

Diversify your career options and take advantage of the growing demand for business analytics professionals in the Master of Business Administration Business Analytics online that will develop your technical skills and improve your corporate decision-making.

Overview

Discover What Our Online MBA in Business Analytics Offers You

With jobs for analytics professionals projected to grow by 14% in the next decade,* you can capitalize on the growing need for qualified management analysts with the MBA in Business Analytics online program from the University of North Carolina Wilmington.

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$18,113*


N.C. Resident
Tuition & Fees

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as few as 12 months**


Program Duration

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36


Program
Credit Hours

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 as few as 12 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.

UNCW Cameron School of Business
AACSB Accredited

UNCW's Cameron School of Business is accredited by The Association to Advance Collegiate Schools of Business (AACSB International)

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 high-value business master's program requires a minimal financial investment compared to similar programs at other AACSB-accredited business schools in North Carolina. Benefit from pay by the course tuition, accelerated 7-week courses, with no prerequisites or foundation courses required.

In this 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

*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.

Ready to Get Started?

Begin your application today, or call 855-306-4734 with questions.

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Tuition

Our Budget-Friendly Tuition Can Be Paid As You Go

Tuition for the MBA with a Specialization in Business Analytics online degree program is highly affordable and far less of a financial investment than many other North Carolina AACSB-accredited universities. We also offer pay by the course tuition for our online programs. Financial aid is available for those who qualify.

  Per Credit Hour Per Course Total Tuition & Fees
North Carolina Residents: $503.15 $1,509.45 $18,113.40
Non-North Carolina Residents: $1,271.43 $3,814.29 $45,771.48

*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.

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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 Classes Begin Application Deadline Document
Deadline
Registration Deadline Payment Due Withdrawal Deadline Course End Date
Fall 1 2021 08/23/21 07/24/21 07/31/21 08/25/21 08/26/21 09/07/21 10/10/21
Fall 2 2021 10/18/21 09/18/21 09/25/21 10/20/21 10/21/21 11/02/21 12/05/21
Spring 1 2022 1/17/22 12/11/21 12/18/21 1/19/22 1/20/22 2/1/22 3/6/22
Spring 2 2022 3/14/22 2/12/22 02/19/22 3/16/22 3/17/22 3/29/22 5/1/22
Summer 1 2022 5/16/22 4/16/22 4/23/22 5/18/22 5/19/22 5/31/22 7/3/22
Summer 2 2022 7/4/22 6/4/22 6/11/22 7/6/22 7/7/22 7/19/22 8/21/22

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.

Ready to Get Started?

Begin your application today, or call 855-306-4734 with questions.

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Admissions

Find Your Fit for Our Online Master’s in Business Analytics Program

To apply for the MBA with a Specialization in Business Analytics online, you must hold a bachelor's degree from a regionally accredited college or university in the United States or its equivalent at 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.

MBA Online Admission Requirements

  • Minimum of two years of professional work experience
  • 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 or an equivalent GRE, which is waived if you have:
    • 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.

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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.

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As a student in the MBA with a Specialization in Business Analytics online program, you must take the following core courses.

Duration: 7 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  :   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  :   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  :   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  :   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  :   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  :   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  :   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  :   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  :   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  :   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  :   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  :   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, 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.

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