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Executive MBA with a Specialization in Business Analytics Online

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

Capitalize on a growing need for qualified management analysts in the Executive Master of Business Administration with a Specialization in Business Analytics online program from UNCW. This program enhances online coursework with dynamic on-campus and international residencies.

Overview

Diversify your career options amid a growing demand for business analytics professionals in the Executive MBA with a Specialization in Business Analytics online program from the University of North Carolina Wilmington. This high-engagement program extends beyond a typical online MBA experience to provide a truly collaborative learning environment, fostering abundant opportunities for hands-on learning, peer interaction, and networking.

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$22,323*


N.C. Resident
Tuition & Fees

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as few as 12 months


Program Duration

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42


Program
Credit Hours

As part of this unique program, you will benefit from two on-campus residencies—intensive weekends of face-to-face managerial training and experiences that provide a bridge between content knowledge and real-world application. During these on-campus sessions, you will develop and promote a diverse array of managerial soft skills that only an on-campus environment can yield, such as problem-solving, persuasion, teamwork and leadership.

In addition to these vital networking opportunities, you also will participate in a one-week international residency at one of several locations in Europe or Asia, enabling you to consult with actual foreign clients and present recommendations for addressing potential challenges on a global scale. This Executive MBA program places you in small, interactive cohorts of experienced peers—building relationships that extend beyond graduation. Become empowered to share your knowledge and insight alongside your fellow students.

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)

Immerse yourself in analytics through our rigorous coursework that focuses on descriptive, prescriptive and predictive analytics. You will examine statistical inference as applied to management decision making and develop skills for implementing statistical analysis in real situations. Learn all about prescriptive analytics, including the development and use of modeling techniques. Explore predictive analytics, such as computer-intensive methods for model selection, parameter estimation, and validation.

In this 100% online, AACSB-accredited program, you will also deepen your knowledge in core business management operational areas including business law, accounting, information analysis, business analysis, operations management, economics, corporate finance, marketing, strategic management and more.

The Cameron School of Business features a top-notch faculty committed to your success. Your courses will be taught by the same full-time professors who teach on campus. Faculty members have terminal degrees and practical management experience in the private sector, allowing them to incorporate real life scenarios into course curricula.

This high-value business master's program requires far less financial investment than MBA programs at other AACSB-accredited business schools in North Carolina, while providing diverse options for customizing your degree to align with your career goals and interests. Benefit from 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
  • How to access data, manipulate data objects, analyze data using common statistical methods, generate statistical reports, and create informative data graphics

*Students will be required to pay their own airfare for the International Residency.

Ready to Get Started?

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

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Tuition

With pay by the course tuition, the Executive 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. Financial aid is available for those who qualify.

  Per Credit Hour Fees Per Credit Hour Per Course Fees Per Course Executive MBA Fee Total Tuition & Fees
North Carolina Residents: $414.72 $25.70 $1,244.16 $77.10 $3,825 $22,322.64
Non-North Carolina Residents: $1,092.62 $25.70 $3,277.86 $77.10 $3,825 $50,794.44

Students will be required to pay their own airfare for the International Residency.

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Calendar

The Executive MBA with a Specialization in Business Analytics online program is designed to offer working professionals the flexibility of online learning paired with value-added on-campus and international residencies. We conveniently offer rolling admission and six start dates each year. Choose the start date that best suits your goals.

Session Program Start Date Application Deadline Document Deadline Registration Deadline Payment Deadline Last Class Day
Fall 1 8/27/18 7/28/18 8/4/18 8/29/18 8/30/18 10/14/18
Fall 2 10/22/18 9/22/18 9/29/18 10/24/18 10/25/18 12/9/18
Spring 1 1/21/19 12/15/18 12/22/18 1/23/19 1/24/19 3/10/19
Spring 2 3/18/19 2/16/19 2/23/19 3/20/19 3/21/19 5/5/19
Summer 1 5/13/19 4/13/19 4/20/19 5/15/19 5/16/19 6/30/19
Summer 2 7/1/19 5/25/19 6/1/19 7/3/19 7/8/19 8/18/19

Ready to Get Started?

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

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Admissions

To apply for the Executive 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 classes for the semester of application. Because UNCW considers applications on a rolling basis, you are urged to apply promptly for your preferred start date.

Executive MBA Online Admission Requirements

  • Five years of professional work experience preferred (minimum two years required)
  • 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 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 transcripts are preferred and can be emailed to gradtranscripts@uncw.edu. Alternatively, they can be mailed directly from the institution(s) to UNCW at this address:

UNCW Graduate School
601 S. College Road
Wilmington, NC 28403-5955

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

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Courses

The Executive MBA with a Specialization in Business Analytics online curriculum is comprised of 14 courses (42 credit hours), including six credit hours of required residencies and six credit hours of electives.

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As a student in the EMBA with a Specialization in Business Analytics 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 will complete the following residency courses.

Duration: 7 weeks   |   Credit Hours: 3

Requires campus attendance for two (2) weekends. This course is designed to provide an opportunity to promote and develop the soft skills that are essential for managers, but are difficult to develop in an online environment. The purpose of this class is to help bridge the knowing doing gap that occurs when students have strong content knowledge but limited experience in applying that knowledge to real world situations. Learning activities in this class may include role plays, team-building exercises, real world cases and other applied learning activities that can occur in an immersive learning environment.

Duration: 7 weeks   |   Credit Hours: 3

Requires 1-week trip abroad. This course is the capstone of curricular requirements for the Executive MBA program. The main purpose of the course is to help students integrate the business concepts learned in functional core courses in an international setting. Specifically, students will have an intensive one week learning experience that involves company visits, presentations from business executives and case studies.

As a student in the EMBA with a Specialization in Business Analytics program, you must choose two of the following courses to complete the 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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