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Master of Business Administration

Data Analytics

Online & On Campus
Classes Start March 5 and May 8. Reserve your seat today!
Classes Start Six Times Per Year For Ultimate Flexibility

ALL DATA POINTS TO DATA ANALYTICS AS AN EXCITING CAREER

32-36 Credit, 14-Month Program

More than ever, today’s global economy requires a deeper understanding of products, customers, competitors and strategies. The world of business is quickly converging to a personalized market for goods and services that requires a thorough understanding of what customers want, when they want it and where they want it. The MBA with a concentration in data analytics will help you not only analyze data but understand it, translate it and incorporate it into strategy at the top levels of your organization.

The data analytics concentration focuses on the development of adept decision-making related to statistics, accounting, economics, finance, computer information, policy, ethics, law, globalization and marketing.

The program’s highly robust curriculum includes topics such as: data acquisition, management of data, use of statistical software to produce intelligent outcomes, knowledge of concepts that advance the understanding of “what and why to do” and data visualization and presentation. The program is designed with the idea of starting with a research question, gathering secondary data from various public resources, cleansing and preparing the data for analysis, proceeding through the analysis and ending with the communication of the results using various visualization techniques.

As a graduate of the data analytics program, you’ll have the challenge of not only finding solutions for known problems but occasionally discovering problems others were not aware of to determine optimal strategies to address them. You will be a strong resource for any firm, by assisting to make data-driven decisions. Whether it’s detecting potential tax fraud, correctly allocating resources to maximize weight gain (and profit) in chicken flocks, helping your clients to build a financial portfolio or helping your marketing department in their campaign, these and many other questions are addressed with data analytics.

Professional DATA ANALYTICS Training
  • Faculty who bring professional experience in data analytics
  • Hands-on training in collection, processing, analysis and visualization of real-world data using software that represents best practices in the industry
  • Hands-on use of real data to advance understanding of concepts
  • Case-based format to further reinforce the understanding of concepts
  • Earn your degree in 14 months.
  • Cost that is very reasonable and highly competitive
  • A degree with high Return on Investment (ROI), based on industry trends
  • The TU School of Business is accredited by the Accreditation Council for Business Schools and Programs (ACBSP) and the European Council for Business Education (ECBE).
  • On a national standardized test by Peregrine, Tiffin University business students scored higher on average compared with students from other ACBSP schools.

The MBA data analytics program provides a real-world study in all aspects of data analytics – including determining initial questions to consider, the collection and cleaning of the data, analyzing the data and the dissemination of the data in a clear and legible format all interested people can understand.

You’ll engage in hands-on learning based on best practices. In the assignments and projects, you’ll utilize real-world data to address the questions that are of interest to you. You’ll learn to use industry-standard software, using programs and applications commonly used in the data analytics profession. You’ll sharpen your communication skills in both the written and visual medium to translate data analytics findings to a lay audience. And, you’ll hone your research skills, including what analytics model to use and why, given a set research question and the data available.

Throughout your program, you’ll be guided by faculty who know of what they speak. With years of industry experience, our faculty bring expertise in all areas of the discipline, including:

  • Value scoring and predictive modeling, including risk models, loan scoring models, customer churn models, new product sales forecasting, demand for healthcare services forecasting and more
  • Customer profiling, segmentation and other customer classification analysis
  • Reviewing existing statistical models and developing recommendations for necessary modifications
  • Collaborating with clients and internal consulting teams to set analytic objectives, approach and work plans
  • Documenting and presenting analytical modeling results to non-technical executives
  • Developing new metrics for economic performance assessment in the region
FORMAT

On Campus – Offered in two terms per semester starting in January, May, August and October

Online – Offered in two terms per semester starting in January, March, May, July, August and October

Core MBA courses are offered online or on campus; remaining concentration courses are offered exclusively online.

SAMPLE COURSES

Database Design and Data Modeling (DAX511) – This course will investigate principles and practices of database management and design. Student will compare and contrast relational database design, normalization, SQL queries, reports and other interfaces to database data, and documentation. Examination of public sources of data will lead to the practice of applying data sources in real-world examples. This course will utilize spreadsheet (i.e. Microsoft Excel) and database (i.e. Microsoft Access) technology currently used in organizations by applying functions in key field areas such as pivot tables, charts, queries, reports, macros, data load utilities, records and modules.

Applied Statistics for Data Analytics (DAX521) – This course will explore techniques to analyze data, produce graphical illustrations and draw conclusions using statistical, data analysis and visualization software packages. Focusing on the central tendency, data exploration and analytics, probability distributions and random variables, students will compare and contrast the basics of statistical inference, testing hypothesis and building confidence intervals, correlation and causation, and simple and multiple regression analysis.

Advanced Data Analysis Techniques (DAX631) – This course prepares students for analyzing data using advanced data analysis software and techniques to make decisions on data. Topics include Multivariable Regression, Non-Linear Regression, ANOVA, Cluster and Factor Analysis and Logistics Regression.

Data Visualization, Design and Presentation (DAX641) – This concentration capstone course will synthesize the previous learning outcomes in the Data Analytics Concentration to compose and construct a final project demonstrating application of data presentation and design. The design of the final project will focus on visualizing data analysis in real-world application by combining techniques of data modeling and data analytics; data processing; mapping data attributes to graphical attributes; and, constructing strategic visual encoding based on known properties of visual perception. Additionally, students will justify the effectiveness of visualization designs and critical thinking necessary in design decisions. Students will create their own data visualizations, and learn to use visualization tools and software.

According to the U.S. Bureau of Labor Statistics, employment in data analytics is projected to grow by 25 percent over the next 10 years. Data analytics is an interesting, intellectually stimulating, constantly evolving career with broad job opportunities, not limited to a single industry or sector.

CAREERS
  • Architectural Manager
  • Auditor
  • Chief Executive
  • Compliance Consultant
  • Computer Systems Analyst
  • Credit Services Specialist
  • Data Engineer
  • Engineering Manager
  • Financial Analyst
  • General Manager
  • Human Resource Manager
  • Marketing Quality Assurance Analyst
  • Operations Center Analyst
  • Operations Manager
  • Postsecondary Teacher
  • Research Analyst
  • Underwriter Support Analyst
  • Valuation Analyst

WHERE TU GRADS HAVE WORKED

  • Advanced Recovery Systems, LLC
  • AdventHealth
  • Alliance Data Card Services
  • Ashar Group
  • Building Performance Institute
  • Charter Communication
  • Createc Corporation
  • Findlay & Co.
  • First Insurance Group Inc.
  • The Hartford
  • Henry Ford Health System
  • Kent State University
  • Marathon Petroleum
  • Nationwide Financial Services
  • Ohio Casino Control Commission
  • Ohio Department of Job and Family Services
  • PNC Bank
  • Signet Jewelers

what is data analytics?

Data analytics is the process of examining data sets to determine trends and draw conclusions about the information they contain. Data analytics is done with the aid of systems and software, and data analytics technologies enable organizations to make informed business decisions. Scientists use analytics to prove or disprove scientific theories, models and hypotheses.

what is an mba in data analytics?

An MBA in data analytics focuses on the development of adept decision-making related to statistics, accounting, economics, finance, computer information, policy, ethics, law, globalization and marketing. Students will understand topics such as: data acquisition, management of data, use of statistical software to produce intelligent outcomes, knowledge of concepts that advance the understanding of “what and why to do” and data visualization and presentation. The program is designed with the idea of starting with a research question, gathering secondary data from various public resources, cleansing and preparing the data for analysis, proceeding through the analysis and ending with the communication of the results using various visualization techniques.

what can i do with an mba in data analytics?

With an MBA in data analytics, you will be qualified for a variety of career opportunities, including architectural manager, auditor, chief executive, computer systems analyst, credit services specialist, data engineer, financial analyst, human resources manager, marketing quality assurance analyst, operations manager, postsecondary teacher, research analyst, valuation analyst and more.

MBA Data Analytics Program Requirements

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“The experience offered by Tiffin University’s School of Business, led by the outstanding faculty, is capable of effectively preparing students for any and all future academic and occupational endeavors. I felt as if TU truly cared about my development, not only as a student, but as a person.”

Kyle Lento
Master of Business Administration
Class of 2018
To truly stand out, we must not feel compelled to fit in.