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Master of Business Administration with track in Data Analytics

Boost your competitive edge in the job market by acquiring the analytical and visualization skills needed to convey data-driven insights and strategies to stakeholders.

Apply by: 8/15/22
Start classes: 8/26/22
Apply Now Request Info

Program Overview

Discover the MBA - Data Analytics online program at Longwood

$13,206* In-State Tuition
As few as 10 months Program Duration
31 Credit Hours

The online Master of Business Administration – Data Analytics track from Longwood University is designed to help you launch a career in advising or consulting by preparing you to guide organizations in developing data-informed solutions. This track enhances your ability to translate empirical results through visual storytelling. Graduates of this program are ready to lead in areas such as personal and corporate finance, business intelligence, operations, and supply chain analysis.

This 100% online MBA from the Longwood University AACSB-accredited College of Business and Economics teaches you to identify the drivers of business and economic patterns and trends. You will also develop forecasting techniques to compare various types of data and learn to bridge the gap between analytics and action.

In addition to exploring data analytics, you will also deepen your foundational knowledge of managerial accounting and economics, data management, information technology, negotiation and conflict resolution, strategic marketing, team building, and more.

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The College of Business and Economics at Longwood University is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).

Graduates of the MBA - Data Analytics track will:

  • Acquire an executive-level knowledge of accounting, ethics, economics, finance, IT, management, and marketing
  • Hone the ability to convey data-driven insights through effective visualizations
Graduates of the MBA - Data Analytics track will:+
  • Acquire an executive-level knowledge of accounting, ethics, economics, finance, IT, management, and marketing
  • Hone the ability to convey data-driven insights through effective visualizations

Career opportunities

  • Financial Analyst
  • Personal Financial Advisor
  • Marketing Manager
  • Management Analyst
  • Business Intelligence Analyst
  • Business Analytics Specialist
Career opportunities+
  • Financial Analyst
  • Personal Financial Advisor
  • Marketing Manager
  • Management Analyst
  • Business Intelligence Analyst
  • Business Analytics Specialist

Have questions or need more information about online MBA?

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Also available:

Looking for a different specialized track? Check out these other MBA programs.

Tuition

Learn how cost-effective our tuition can be

The MBA – Data Analytics track offers affordable, pay-by-the-course tuition. The application fee is $40. All other fees are included in the total cost.

Tuition breakdown:

$398 Per Credit Hour (Virginia students)
$13,206* Total Tuition (Virginia students)
View Full Tuition Breakdown +

Virginia students

Program Per Credit Hour Per 3-Credit-Hour Course Per Program
MBA - Data Analytics track $398 $1,194 $13,206*

Out-of-state students

Program Per Credit Hour Per 3-Credit-Hour Course Per Program
MBA - Data Analytics track $408 $1,308 $12,648*

The professors were always very personable, and you had real connections with them. They were all willing to help you out in the real world, serving as a reference for you and helping you career-wise in the search. Numerous professors served as references when I was applying for jobs and scholarships.

-Katelyn Gough, Longwood University MBA graduate

See more testimonials »

Calendar

Dates you need to know

The Longwood University online MBA is delivered in an accelerated format ideal for working professionals, conveniently featuring multiple start dates each year.

Now enrolling:

8/15/22 Next Application Deadline
8/26/22 Start Classes

View full calendar + 

7 Week CoursesApplication DeadlineDocument DeadlineRegistration DeadlineFirst Class DayFinal Tuition Deadline†Last Class Day
Summer II6/10/226/17/226/24/226/27/226/29/228/12/22
Fall I8/15/228/19/228/24/228/26/228/30/2210/14/22
Fall II10/10/2210/14/2210/19/2210/21/2210/25/2212/9/22
Spring 112/12/2212/16/221/4/231/6/231/10/232/24/23
Spring II2/27/233/3/233/8/233/10/233/14/234/29/23
jQuery(document).ready(function () { jQuery('.view-full-calendar-hide .cf-description').hide();}); jQuery(".full-calendar .show-link").click(function () { jQuery(".full-calendar .cf-description").toggle(); });

† Final tuition payment must be received by 3:00 p.m. EST on the final tuition due date.

Ready to take the next step toward earning your online MBA from Longwood University?

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Admissions

Get ready to apply for the MBA - Data Analytics online program at Longwood

We've streamlined the admission process for Longwood University online MBA to help you get started quickly and easily. Please read the requirements for the MBA – Data Analytics track, including what additional materials you need and where you should send them.

The requirements include:

Bachelor's degree from an accredited college or university
Official transcripts
Professional resume verifying work experience
View Admission Requirements

Applicants to the MBA – Data Analytics track must meet at least one of the following combinations for admission.

  • Bachelor's degree from an accredited college or university with a minimum 3.0 GPA – No GMAT will be required
  • Bachelor's degree from an accredited college or university with a 2.75-2.99 GPA + 3 years of professional-level work experience.** No GMAT will be required.
  • Bachelor's degree from an accredited college or university with a 2.50-2.74 GPA + 5 years of professional-level work experience.** No GMAT will be required.
  • Bachelor's degree from an accredited college or university + 8 years of professional-level work experience.** No GMAT will be required.
  • Bachelor's degree from an accredited college or university with a GPA below 2.50 + GMAT with a minimum score of 400

A professional resume should be uploaded with the online application. The GMAT requirement is subject to work experience review and approval by the MBA Program Director.

Bachelor’s degree along with transcripts from all colleges or universities attended are required as part of the application process. ***Prior to starting their graduate program, students must hold a conferred bachelor’s degree or international equivalent from a college or university accredited by the appropriate institutional (formerly regional) accreditation agency.

Official transcripts, test scores and other documents should be sent from the granting institution(s) to:

Email address: [email protected] (preferred and quickest)

Mail address:

Longwood Graduate Studies
201 High Street
Farmville, VA 23909
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Longwood University has been named one of the top universities in the Southeastern U.S. by The Princeton Review, 2020

Courses

Take a look at the curriculum for the MBA - Data Analytics online program

For the MBA – Data Analytics track, you must complete 10 courses totaling 31 credit hours, including 25 credit hours of core courses and 6 credit hours of electives.

Expand All
Duration: 7 weeks
Credit Hours: 3
This course describes the basic principles of corporate finance and provides practical tools for financial decision and valuation. The course starts with optimal project acceptance criteria consistent with the objective of maximizing the market value of the firm. It then moves on to techniques for estimating the cost of capital, which are subsequently applied to a range of valuation problems. The valuation principles include WACC, APV, multiples and real options. In the second half of the course we discuss capital structure and dividend decision, and how they affect firm value. We also study corporate governance, and end the course analyzing financial issues in mergers and acquisitions.
Duration: 7 weeks
Credit Hours: 4
This course helps students integrate the functional expertise from areas such as accounting, finance, management, marketing, and production. Concepts and tools acquired from these functional areas provide the basis for approaching strategic problems from a holistic managerial perspective. Prerequisites: FINA 550, ISCS 570, MANG 564, ACCT 540, ECON 509, MANG 575, MARK 588.
Duration: 7 weeks
Credit Hours: 3
This course focuses on the function of Information Systems (IS) and the Information Technology (IT) infrastructure and the role they play in the organization. The strategic, economic and managerial aspects of technology adoption decisions and IT governance policies are examined from the organizational leader’s perspective. Both existing and emerging technologies will be studies to provide awareness of current trends, organizational impact, risks and benefits. The objective of this course is to prepare managers to provide leadership in the use of information systems and information technology across the enterprise, regardless of functional area.
Duration: 7 weeks
Credit Hours: 3
This course introduces the multifaceted role of an effective leader/manager. Human behavior at the individual, group and organization levels is examined as well as techniques for leading people in the organizational environment. Topics include: various developmental areas of leadership, including communications, social responsibility, and personal development, the role of an effective leader, small group and team leadership, work motivation, conflict resolution, managing workplace relationships, and personality influences on work attitudes and behaviors.
Duration: 7 weeks
Credit Hours: 3
This course introduces the techniques of quantitative and statistical analysis for management decision making. Major topics include decision analysis, statistical inference, regression, and linear programming.
Duration: 7 weeks
Credit Hours: 3
The course will equip the student with the ability to properly frame any decisions faced (business or personal), and then arrive at the best solution given the information available. To do so requires two additional skills: 1) To accurately work with data to assess the economic environment, 2) The ability to think strategically. Topics include: profit maximization, demand analysis, elasticity, market power, regression analysis, game theory, and pricing strategies.
Duration: 7 weeks
Credit Hours: 3
This course presents an overview of marketing and the activities involved in the delivery of goods and services to the consumer. Topics include the identification of target markets, the development of a marketing mix, the special challenges of service delivery, the importance of retailing, and relationship marketing.
Duration: 7 weeks
Credit Hours: 3
This course provides a comprehensive, graduate level discussion of managerial accounting. Broadly, this course focuses on the use of accounting data in the decision-making process for managers. As such, learning which data is important in different managerial settings, appropriately deriving and interpreting such relevant data, and then formulate best case strategies forms the core of study. More specifically, students learn to use the concepts of opportunity cost and organizational architecture as the framework for studying managerial accounting.
Duration: 7 weeks
Credit Hours: 3
Data driven decision-making is essential and commonplace across all industries and occupations. Data visualization bridges the gap between analytics and action. Empirical results matter only if they are well understood by all those involved in the decision-making process. Data visualization techniques help tell the story emerging from the data in a format that resonates with a wide group of stakeholders. This course will serve as an introduction and reference to becoming visual with data.
Duration: 7 weeks
Credit Hours: 3
The development and application of statistical and econometric techniques to create a data informed decision-making business environment.  The course will focus on regression analysis designed to identify and understand the potential drivers of important business and economic patterns and trends.  Forecasting techniques will be developed and used as a foundation to compare causal data analyses and big data, machine learning approaches​.

*Price includes in-state tuition and fees. For students from outside Virginia, tuition and fees total $12,648.

**A resume verifying professional-level work experience must be submitted at the time of application and is subject to verification and approval by the MBA director.

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