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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: 12/9/24
Start classes: 1/13/25
Apply Now

Program Overview

Discover the MBA - Data Analytics online program at Longwood

$13,361* 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 this data analytics MBA online 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

Data analytics 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

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:

$431 Per Credit Hour (Virginia students)
$13,361* Total Tuition (Virginia students)

Virginia students

Program Per Credit Hour Per 3-Credit-Hour Course Per Program
MBA - Data Analytics track $431 $1,293 $13,361*

Out-of-state students

Program Per Credit Hour Per 3-Credit-Hour Course Per Program
MBA - Data Analytics track $441 $1,323 $13,671*
Katelyn Gough - Longwood Testimonial

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:

12/9/24 Next Application Deadline
1/13/25 Start Classes
7 Week CoursesApplication DeadlineDocument DeadlineRegistration DeadlineFirst Class DayFinal Tuition Deadline†Last Class Day
Fall A8/12/248/16/248/23/248/26/248/29/2410/13/24
Fall B10/7/2410/11/2410/18/2410/21/2410/24/2412/13/24
Spring A12/9/2412/13/241/10/251/13/251/16/253/2/25
Spring B2/24/252/28/253/7/253/10/253/13/254/25/25
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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?

Admissions

Get ready to apply to your online MBA in data analytics program

We've streamlined the admission process for the Longwood University master of business administration online 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

Admission Requirements

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. Applicants must meet one of the following for consideration for admission:

  • Completed bachelor's degree from a university accredited by the appropriate institutional (formerly regional) accreditation agency with minimum 2.75 GPA.
  • Completed bachelor's degree from a university accredited by the appropriate institutional (formerly regional) accreditation agency with 2.50 - 2.74 GPA and 5 years of professional level work experience. * Professional experience is defined as paid work experience that includes some combination of complex decision-making or analysis, management of people or projects, and at least moderate impact on the work unit or firm.
  • All other prospective students are strongly encouraged to apply. These applicants must submit a 1-page maximum letter of interest briefly indicating their reason(s) for obtaining a Longwood MBA along with their transcripts, resume, and optional GMAT score.

Transcripts from all institutions where you obtained a degree, bachelor or higher, and any post baccalaureate coursework to be submitted at the time of application and subject to verification and approval by the MBA Director.

Resume including years of professional level work experience to be submitted at the time of application and subject to verification and approval by the MBA Director.

*International applicants may be required to submit additional test scores and documentation.

** Application fee waived for military (active and former). Verification must be submitted with application (ID or other form).

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 this MBA in data analytics online, 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 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:

  • Apply the principles of financial reasoning to business situations and assess business problems using time value of money techniques
  • Perform quantitative and qualitative analysis of risk and return component
  • Demonstrate general understanding of financial markets and instruments
  • Apply the basic principles of security analysis and perform capital budgeting analysis
Duration: 7 Weeks 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. Prerequisite(s): Students must complete any six of the following courses: ACCT 540, ECON 509, FINA 550, ISCS 570, MANG 564, MANG 575, and MARK 588

Learning Outcomes:

  • Understand and explain the relationships between strategy with firm mission, vision, and objectives
  • Analyze the general, competitive/industry, and internal environment through conducting systematic research with various analytical tools
  • Assess the multiple facets of business issues to derive data-driven solutions
  • Understand strategic decision-making and develop strategic plans at the business, corporate, and entrepreneurial level
  • Create action plans with recommendations to implement and control strategic decisions
Duration: 7 Weeks 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

  • Apply appropriate terminology for IT systems to be able to communicate effectively regarding IT issues.
  • Understand the role that IT plays in attaining and maintaining a competitive advantage in today’s rapidly changing business environment.
  • Apply IT concepts to typical business situations and analyze cases to determine proper and improper application of IT principles.
  • Critique positions on IT-related issues and debate the relative importance of technology applications in creating business value.
Duration: 7 Weeks 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:

  • Identify and explain theories, concepts, and research in leadership
  • Analyze various leadership-related principles and topics including Leadership traits, Leadership Behaviors, Communication, Teamwork, Ethics, Power and Influence, Leadership Skills, Managing Conflict
  • Apply leadership concepts and theories to their everyday life, organizations, and current topics
  • Develop their personal leadership philosophy
Duration: 7 Weeks 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./This course will increase data literacy of students by introducing them to descriptive and inferential statistics, with a focus on data analysis and real world application to business and economics. Topics include collection of and use of data, measures of central tendency and dispersion, data visualization, probability, confidence intervals, hypothesis testing, regression analysis, including work with categorical variables and nonlinearities, and basic technical writing for presentation of data and statistical analysis. Projects require students to apply knowledge to consulting scenarios, with a specific client in mind. Students are expected to have a basic understanding of Excel, but instruction on use of the Data Analysis Toolpak will be provided as part of the course.

Learning Outcomes

  • Apply theories and models to real-world situations
  • Use statistics the correct way to deliver the information you need
  • Learn how to use the data the right way
  • Use statistics to make informed decisions
  • Use models and techniques to create valuable information
Duration: 7 Weeks 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:

  • Use marginal analysis and thinking in optimization problems and distinguish different types of cost and their applicability in optimization problems
  • Analyze the impact of changes in demand and supply conditions on the profit maximizing output and pricing decisions and calculate the price elasticity of demand and relate it with the profit maximizing price
  • Demonstrate the value of framing managerial decision-making using a demand function
  • Present univariate and multivariate patterns in data and perform regression analysis to estimate causal relationships; interpret regression output, including R-square, coefficients, p-values, and confidence intervals
  • Conduct basic forecasting using regression output and be able to describe the strengths and weaknesses of ordinary least square (OLS) regression analysis
  • Differentiate strategic from non-strategic decisions and analyze a strategic game and solve for equilibrium strategies and apply game theory to oligopolistic market structures
Duration: 7 Weeks 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

  • Explain marketing concepts in the context of marketing problems
  • Design and debate proposals for solutions to marketing problems
  • Construct a formal marketing plan
Duration: 7 Weeks 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:

  • Articulate how cost management helps organizations meet their strategic goals by managing costs
  • Assign costs to production jobs or projects using different costing systems
  • Assign activity costs to goods and services
  • Build a basic cost-volume-profit (CVP) financial model and use a cost-benefit approach to common business decisions
  • Demonstrate ethical reasoning in accounting and describe the importance of ethical behavior for managers and managerial accountants
Duration: 7 Weeks 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 and economic principles 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. Blending microeconomic data, economic principles, and statistical analysis, this course will serve as an introduction and reference to becoming visual with data.
Duration: 7 Weeks 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 $13,671.

**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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