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Master of Business Administration in Data Analytics track

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: 8/16/21
Start classes: 8/27/21

Program Overview

$12,338* In-State Tuition
As few as 12 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
  • 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
  • Financial Analyst
  • Personal Financial Advisor
  • Marketing Manager
  • Management Analyst
  • Business Intelligence Analyst
  • Business Analytics Specialist

Have questions or need more information about online MBA?

Also available:

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

Tuition

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)
$12,338* Total Tuition (Virginia students)

Virginia students

Program Per Credit Hour Per 3-Credit-Hour Course Per Program
MBA in Data Analytics $398 $1,194 $12,338*

Out-of-state students

Program Per Credit Hour Per 3-Credit-Hour Course Per Program
MBA in Data Analytics $408 $1,224 $12,648*
Longwood MBA graduate Christine Jordan

Having spent my first 20 years in my career in the healthcare business, I often get asked what helped me take my role to a national level working for a Fortune 10 company. The answer is my recent graduation from Longwood’s MBA program.

-Christine Jordan, Longwood University MBA graduate

See more testimonials »

Calendar

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

Now enrolling:

8/16/21 Next Application Deadline
8/27/21 Start Classes
7 Week CoursesApplication DeadlineDocument DeadlineRegistration DeadlineFirst Class DayFinal Tuition Deadline†Last Class Day
Fall I8/16/218/20/218/25/218/27/218/31/2110/15/21
Fall II10/11/2110/15/2110/20/2110/22/2110/26/2112/10/21
Spring I12/13/2112/17/211/5/221/7/221/11/222/25/22
Spring II2/28/223/4/223/9/223/11/223/15/224/30/22
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Ready to take the next step toward earning your online MBA from Longwood University?

Admissions

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 a regionally accredited college or university
Official transcripts
Professional resume verifying work experience

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

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

Official transcripts from all institutions where you obtained a degree, bachelor or higher, and any post-baccalaureate coursework must be submitted at the time of application and are subject to verification and approval by the MBA director.

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

Email address: [email protected]

Mail address:

College of Graduate and Professional 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

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.

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. Learning Outcomes: • Learn how and why local and global financial markets behave certain ways • Sharpen your critical-thinking and problem-solving skills that make you stand out from the crowd • Use quantitative data to solve business problems in order to make investment and financial decisions • Learn how to become a smart and profitable investor using a variety of channels
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 Learning Outcomes: • Size up the competitive environment in the quest for profitable opportunities • Develop strategic moves, positions, and tactics to effectively beat the competition • Identify “blue ocean” opportunities where there is limited competition and profitability opportunities are greatest • Build and lead effective organizations to execute a chosen strategy
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. Learning Outcomes: • Learn how to get usable insights from good information to make your business thrive • Learn how to navigate global issues while protecting your business • Learn about problems real businesses face and how they address them with enterprise-class information systems • Study real-world examples where companies couldn’t react to changing business conditions, and how enterprise information systems enable a nimble enterprise that could make swift adjustments to market-changing events • Learn how computer-aided design, knowledge-work systems, and virtual reality can improve the safety and efficiency of engineers and other knowledge workers to unlock business value and protect the corporate knowledge base when key workers depart the organization
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. Learning Outcomes: • Discover what leadership style works for you • Understand where you stand as a leader • Learn how to work most effectively to communicate to your employees • Learn how to analyze situations and make decisions to be a better leader
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. Learning Outcomes: • Apply theories and models to real-world situations • Use statistics the correct way to deliver the information you need • Use statistics to make informed decisions • Use models and techniques to create valuable information
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 Learning Outcomes: • Learn how to solve real-world strategic problems with the right skills • Use real data to blend statistical analysis, market expertise, and economic reasoning to better understand causal patterns and trends – and learn how to translate this understanding into informed forecasting and strategic decision-making • Understand how to deal with uncertainty by studying real-world examples • Learn how to answer the question: “How is this particular concept useful to me right now?” • Determine how to take on and solve challenges – without all the information you think you need
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. Learning Outcomes: • Learn about current marketing techniques that are relevant in today's competitive landscape • Learn how to make creative decisions and how to use data to make strategic decisions • Discover how to gain a competitive advantage by using technological advances like artificial intelligence, machine learning, high-velocity decision-making, and data analytics
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. Learning Outcomes: • Investigate real-world problems through hands-on learning • Gain an understanding of the basic accounting concepts applicable to your current role, even if you're not an accountant • Ask the right questions and make informed decisions using the right data • Utilize managerial accounting concepts to make important decisions during difficult times • Learn how to successfully manage your budget without losing money • Learn how to evaluate product-line and make-or-buy decisions, what to do with unprofitable product lines and customers, and more
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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Or call 833-960-0138

Or call 833-960-0138

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