Master of Business Administration in Business Analytics Online

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Develop in-demand skills and advance your career in today’s data-driven work force. This innovative online program expands your leadership skills while providing the technical training you need to leverage data and provide business solutions.

Apply by: 12/26/24
Start class: 1/16/25

Program Overview

Get to know our MBA in Business Analytics online program

Designed to broaden your business foundation while building expertise in using analytical tools and techniques, the Master of Business Administration in Business Analytics online program prepares you to provide valuable insights that help increase an organization’s efficiency, productivity and revenue.

As a student in this online MBA in Business Analytics program, you will expand your decision-making abilities in strategic management, covering topics such as data visualization, data mining, marketing research and predictive analysis. You also will gain access to hands-on exercises using a variety of SAP programs to learn predictive analytics tools, including Business Objects Enterprise and SAP Crystal Reports, as well as data visualization software such as SAS Visual Analytics and Tableau.

In this master’s in business analytics online program, you will:

  • Understand fundamental concepts of business analytics that help professionals make informed decisions based on data
  • Learn how to use a wide range of predictive analytics tools and data visualization software
  • Grow skills in using data visualization and data mining techniques such as clustering, classification, association, forecasting and sequencing to discover hidden trends and data sets
In this master’s in business analytics online program, you will:+
  • Understand fundamental concepts of business analytics that help professionals make informed decisions based on data
  • Learn how to use a wide range of predictive analytics tools and data visualization software
  • Grow skills in using data visualization and data mining techniques such as clustering, classification, association, forecasting and sequencing to discover hidden trends and data sets

Career outcomes for the Online MBA in Business Analytics include:

  • Chief Data Officer
  • Director of Business Analytics
  • Data Science Director
  • Process Improvement Analyst
  • Business Analytics Specialist
Career outcomes for the Online MBA in Business Analytics include:+
  • Chief Data Officer
  • Director of Business Analytics
  • Data Science Director
  • Process Improvement Analyst
  • Business Analytics Specialist
Total Tuition $13,153*
Duration As few as 12 months
Credit Hours 30

Accreditation

AACSB Accredited Logo

The Lamar University College of Business offers you access to a powerful business school alumni network and a business education backed by AACSB International accreditation – the gold standard of quality in business education worldwide.

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Need More Information?

Call 866-223-7675

Call 866-223-7675

Tuition

Learn more about our affordable tuition

The following is the tuition breakdown for students pursuing a Master of Business Administration in Business Analytics online. Our tuition is affordable and can be paid by the course.

View additional tuition information+
Program Per Credit Hour Per Course Per Program* Per Program with Leveling Courses
MBA in Business Analytics $438 $1,315 $13,153 $15,784

*University fees are included in the tuition listed. University fees are able to be covered by Financial Aid if you choose to apply and are qualified.

Tuition and fees are subject to change without notice due to action by the Board of Regents or the Texas State Legislature.

In addition to the textbook, some courses may require ancillary course materials that may range up to $150 each. Use of additional resources are at the discretion of each professor.

Financial Aid

Ready to get started on your degree program online but need help finding ways to fund your education? We can help you discover student financing sources that include grants, loans and other payment options. Learn more about financial aid here.

Tuition breakdown:

Total Tuition without Leveling Courses $13,153*
Total Tuition with Leveling Courses $15,784

Calendar

Learn when to apply, when classes start and when tuition is due

Our Master of Business Administration in Business Analytics online program features multiple start dates to accommodate your busy schedule. Find the start date that works best for you and apply before the application deadline associated with it.

View full calendar  + 

8 week coursesProgram Start DateApplication DeadlineDocument DeadlinePayment DueLast Class Day
Spring I1/16/2512/26/241/2/251/7/253/7/25
Spring II3/17/252/24/253/3/253/10/255/7/25
Summer I5/29/255/8/255/15/255/20/257/31/25
Fall 18/21/258/7/258/7/258/15/25
Fall 29/29/259/15/259/15/259/23/25

Now enrolling:

Apply Date 12/26/24
Class Starts 1/16/25

Have questions or need more information about our online programs?

Ready to take the rewarding path toward earning your degree online?

Apply Now

Admissions

See the requirements for our online program

The Master of Business Administration in Business Analytics online program has specific requirements that applicants must meet to enroll. Please read the admission guidelines to ensure you qualify.

Admission Requirements:

  • Online Application
  • Bachelor's Degree
  • Official Transcripts
View all admission requirements +

Leveling Requirements

Students with non-business undergraduate degrees may be required to take two leveling courses: ACCT 5315 and FINC 5300. International students, who are required to submit an English Proficiency Test score may be required to take BCOM 3350 at the discretion of the MBA Office.

Pre-MBA

The Pre-MBA program allows students to take up to 9 hours of graduate level coursework to apply toward their MBA. In order to qualify for Pre-MBA admission, students must have a minimum 2.50 cumulative GPA.

University Admission Requirements

Applicants must meet at least one of the following standards

  • Hold a bachelor’s degree from a regionally accredited university with a minimum GPA of 2.5 (cumulative or last 60 hours, 4.0 system). The GMAT/GRE is waived if the GPA is 2.5 or higher.
  • Hold a bachelor’s degree from a regionally accredited university with an undergraduate GPA of below 2.5 and GMAT (or the GMAT equivalent of GRE) scores totaling at least 1,000 points based on the formula: 200 times the undergraduate GPA (cumulative or last 60 hours, 4.0 system) plus the GMAT (or the GMAT equivalent of GRE) score.

Send transcripts to:

Lamar University Online Admissions
PO Box 10017
Beaumont, TX 77710

OR

Submit electronically to [email protected]

Check to see if the program is offered to residents in your state before applying by clicking here.

*All applicants must submit official transcript(s) indicating: 1) The conferred bachelor's or master's degree as required for the program of application from a regionally accredited US institution or its equivalent. 2) The transcript of the most recent attendance if it differs from the institution of the conferred degree. This requirement applies regardless of the length of time in attendance and regardless of whether credit was earned or is desired. However, if a department or program wishes to review additional transcripts from prior attendance for decision purposes, the department or program may directly request the applicant to submit the official transcript(s) to the Office of Admissions for processing. Students must be eligible to re-enter all colleges and universities previously attended. Failure to disclose previous college attendance is justification for revocation of acceptance and dismissal from Lamar University.

Craig Escamilla

As a passionate advocate for new technology, I am constantly interested in the challenge of how to make the online educational experience the best it can be for our students.

Craig Escamilla, Lamar University Faculty

View Craig Escamilla's profile »

Courses

Read about our online business analytics curriculum

This MBA in Business Analytics online features graduate-level business coursework that covers finance, marketing, economics and data analysis in accounting, as well as enterprise resource planning (ERP) systems, data mining and predictive analysis, marketing research, and more. Students with non-business undergraduate degrees may be required to take additional leveling courses.

Expand All
For students without any previous undergraduate study in business, two leveling courses may be needed. One or both of the leveling courses may be waived based on previous academic credit. Students with undergraduate degrees in business from AACSB-accredited colleges will be waived both leveling courses. Students with undergraduate degrees from non AACSB-accredited colleges must have 6 hours of Economics with grades of B or better, 3 hours of financial accounting with a grade of B or better, and 3 hours of upper level Finance with a grade of B or better to waive the leveling requirements.

International students whose admission to Lamar University required a TOEFL or IELTS exam will be required to take Business Communication (BCOM 3350) as part of their leveling requirements.

*International students who needed a TOEFL or IELTS exam for admission will also be required to take Business Communications, BCOM 3500 as part of their leveling requirements.
Duration: 8 Weeks weeks
Credit Hours: 3
Concepts of financial accounting. Emphasis is on the conceptual framework of accounting and preparation and uses of financial statements. Additional topics include Managerial Accounting and Cost Concepts, Cost Volume Profit Analysis, Flexible Budgets and Standard Costs and Variance Analysis.
Duration: 8 Weeks weeks
Credit Hours: 3
A survey of the financial management function in private business firms, with emphasis on major financial policy decision issues and the analytical techniques used to assist management in making those decisions. Prerequisite: Graduate standing, ACCT 5315, ECON 5300 or undergraduate equivalent.
Duration: 8 Weeks weeks
Credit Hours: 3
Emphasis on practical applications of business writing and speaking scenarios. Course covers how to write memos, letters, resumes, analytical reports, and how to give a professional oral presentation. Prerequisite: Junior Standing.
BUAL 5380 or MISY 5340 will be selected in your core selection.
Duration: 8 Weeks weeks
Credit Hours: 3
Application of accounting data in decision making; cost analysis as applied in the development of budgets and standards; accounting as a tool for cost and pricing; case problems, using the microcomputer as a decision-making tool, which require students to interpret and discuss their analysis in the context of managerial decision-making. Prerequisite: Graduate standing and ACCT 5315 or equivalent.
Duration: 8 Weeks weeks
Credit Hours: 3
This course promotes tools for effective decision-making using a variety of techniques. Students learn to apply analytical methods to the processes of data collection, presentation, assessment and interpretation. The course emphasizes quantitative and statistical methods and includes topics such as correlation, regression analysis, data mining and model optimization.
Duration: 8 Weeks weeks
Credit Hours: 3
A study in the depth of the principles and techniques of economics analysis applicable to the problems of business management. Prerequisite: Graduate standing, ECON 5300.
Duration: 8 Weeks weeks
Credit Hours: 3
A study of the financial policy of business firms along with the theory supporting that policy. Topics include capital budgeting, capital structure, cost of capital, dividend policy, and management of working capital, as well. Prerequisite: Graduate standing, FINC 5300 or equivalent.
Duration: 8 Weeks weeks
Credit Hours: 3
This course is an inter-disciplinary study of the international dimensions of organizational behavior. This course draws from different fields including psychology, sociology, economics and anthropology to create an understanding of human behavior in a global work environment. Course content includes topics such as cross-cultural management, cross-cultural communication, and global aspects of leadership, motivation, team management, and decision-making. The course will incorporate a variety of teaching and learning methods - short lectures, readings, research, discussions, cases, movies, student presentations. Student will demonstrate mastery of the material through class participation, group presentations, individual written assignments, and tests.
Duration: 8 Weeks weeks
Credit Hours: 3
The capstone course for the MBA. Students are required to successfully complete this course to be eligible for graduation. The course assumes that the company success depends upon formulation of an astute "game plan" and the ability to implement and execute that game plan proficiently. The purpose of the class is to enable students to “think strategically,” consider the total enterprise, and to make long-term decisions in a global market environment. Prerequisite: Must be in last semester of course work and/or have approval of advisor.
Duration: 8 Weeks weeks
Credit Hours: 3
This course provides students with an understanding of fundamental business processes and enterprise systems. Students will learn how to integrate these business processes into an enterprise resource planning (ERP) system, specifically SAP. Students gain hands-on experience using SAP for the fulfillment, procurement, production, financial accounting and management of business processes. The course includes an ERP simulation (ERPsim) strategy game.
Duration: 8 Weeks weeks
Credit Hours: 3
An intensive study of specific marketing concepts and theories. Marketing strategies for the national and multinational firms are surveyed. Emphasis is placed on reading from current journals and other related publications. Prerequisite: Graduate standing.
Students will select three concentration electives from below.
Duration: 8 Weeks weeks
Credit Hours: 3
This course will provide the student the opportunity to learn about data analytics as it applies to the accounting profession. Data Analytics is a topic of increasing importance for many organizations as the need for data-driven insights and recommendations grows throughout the business industry. This course provides in-depth coverage of data analytics, giving students hands-on experience working with different types of data and the tools use to analyze it. The topics covered in this course include but not limited to: Critical Thinking, Data Preparation and Cleaning, Data Modeling and Evaluation, Data Presentation, Audit Analytics, Generating Key Performance Indicators, and Financial Statement Analysis. Various software tools will be introduced to enhance students’ hands-on capabilities.
Duration: 8 Weeks weeks
Credit Hours: 3
This course prepares students to understand and apply the concepts related to the emerging trends in IT-enabled healthcare and to understand the role of analytics in healthcare and clinical decision-making. Students will learn to evaluate the effectiveness of various healthcare information systems.
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces students to business intelligence (BI), which is the user-centered process of exploring data, data relationships and trends, thereby helping to improve overall decision-making. Students will use a major enterprise software application for business intelligence, analytical reporting and Data Warehousing solutions. Application of data visualization software is also included.
Duration: 8 Weeks weeks
Credit Hours: 3
This course introduces students to the concepts of Business Analytics to help professionals make informed decisions based on data. Besides learning Excel functions, students will use data visualization and data mining techniques to discover hidden trends in data sets. Students will also use the latest predictive analytical tools from SAP to anticipate future behavior that will help make better managerial decisions.
Duration: 8 Weeks weeks
Credit Hours: 3
This course prepares students in data analytical skills pertaining to market research. Students are expected to develop skills in the JMP software program which will encompass the preparation of data for analysis along with various analytical techniques related to multivariate data analysis, such as multiple regressions, cluster, factor and discriminant analysis. Practical hands-on software exercises will be completed by theoretical knowledge based on course materials and the required textbook.

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