Data Analytics Concentration

Are you a numbers person? Does looking at data sets, charts, graphs, and other visuals put your mind in full gear? Are you looking to advance your career in the exciting area of data analytics, a field with high demand and lucrative opportunities?

Saint Leo University is excited to offer a Master of Business Administration with concentration in Data Analytics. This program provides a comprehensive curriculum that gives students the power of an M.B.A. education, but with a specialization that can help graduates define their goals and attain gainful employment in data analytics.

Unlike a typical M.B.A. program or M.S. in Data Analytics curriculum, the M.B.A. in Data Analytics program combines the core knowledge and concepts of business administration with the technical aspects of data analysis. This unique curriculum gives graduates of this program the opportunity to become highly-sought-after candidates for exciting positions in a wide variety of industries.

This convenient online program, which consists of 12 courses, comes with the much-desired flexibility of allowing students to complete their coursework in an environment best suited for their success.

As technology has soared to never-before-seen heights in the past decade, data has been collected in countless ways, particularly in the world of business. This is why data analytics has grown into a tremendously important industry.

Data analytics involves examining large data sets to uncover hidden patterns, correlations, and other key insights on which certain determinations can be made. Thanks to 21st-century technology, it’s now easier than ever to collect and analyze data and obtain specific results from that data in mere seconds to make effective business decisions.

Data analytics demonstrates how statistics, computer science, and data visualizations all converge to produce powerful information. The concept has numerous real-world applications across a wide variety of industries, including business, marketing, health sciences, and technology.

The intended goals behind data analytics can help organizations with increased efficiency, cost reduction, faster and more strategic decision-making, and improved customer satisfaction.

The coursework in the M.B.A. in Data Analytics will cover:

  • All practical aspects of business administration
  • Statistics
  • Formulas and the true meaning behind them
  • Theories
  • Data interpretation
  • Visualizations, i.e. charts, graphs, and textual data
  • Case studies
  • Microsoft Excel, Tableau, and open-source software

Graduates may find employment opportunities as:

  • Mid- and higher-level business administration roles
  • Computer and information analysts
  • Research scientists
  • Software developers
  • Operations and research analysts
  • Mathematicians
  • Statisticians
  • Educators in business, statistics, data analysis, and other relevant areas

Degree Requirements

(21 credits)

  • Course
  • Course Name
  • Credits
  • MBA 525 Professional Development 3

    This course is designed to give MBA students a tangible head start in acquiring and honing numerous core skills essential for success in the MBA program and the business world. The emphasis will be on the development of professional skills and perspectives, such as business writing, coaching and counseling, conflict resolution, effective business protocol, interviewing, intercultural awareness and sensitivity, negotiating agreement, and public speaking.

  • MBA 540 Managerial Economics 3

    This course explores the concepts of economic optimization, the estimation of demand, and cost and pricing analysis. An introduction to economic forecasting and decision making under conditions of risk and uncertainty is also included.

    Prerequisites: Undergraduate course in microeconomics strongly recommended.

  • MBA 560 Financial and Managerial Accounting 3

    This course focuses on the study of accounting concepts and standards applicable to presentation of financial information to interested users, structure, uses and limitations of financial statements, and measurement systems related to income determination and asset valuation. The course also considers the discussion of internal and external influences on accounting decisions.

    Prerequisites: Undergraduate course in financial accounting and managerial accounting is strongly recommended.

  • MBA 565 Marketing 3

    This course considers the operational and strategic planning issues confronting managers in marketing. Topics include buyer behavior, market segmentation, product selection and development, pricing, distribution, promotion, market research, and international and multicultural marketing. Additional fee applies for marketing computer simulation.

    Prerequisites: MBA 525

  • MBA 533 Human Resource Management 3

    This course is designed to focus on an in-depth analysis of the major functions of a manager dealing with human resource issues. Issues to be covered include, but are not specifically limited to, staffing, employee training and development, compensation and benefits, legal issues, union versus non-union issues, safety and health issues, and cross-cultural and expatriate issues.

    Prerequisites: MBA 525

  • MBA 575 Global Business Management 3

    The student will develop an understanding of international/multinational management by examining the challenges and opportunities of operating globally. Emphasis will be on developing an understanding of the complexities of dealing with diverse social, cultural, economic, and legal systems. The role of business in this dynamic world environment will be analyzed.

    Prerequisites: MBA 525

  • MBA 599 Strategic Management 3

    This capstone course integrates knowledge gained in previous graduate business courses. It centers on the theme that organizations achieve sustained success when their managers have astute, timely strategic game plans and they implement these plans with proficiency. Strategic management theory is used in the analysis of case studies of companies operating in the domestic and global marketplace. This course is to be taken in the student’s last term, unless otherwise approved by the Director of the MBA Program.

    Prerequisites: MBA 525, MBA 533, or HRA 545; MBA 540, MBA 560, or ACC 504; MBA 565 or SPB 565; and MBA 575.

Concentration Courses (15 credits)

  • Course
  • Course Name
  • Credits
  • MKT 575 Web Analytics 3

    The course explains what web analytics is, and provides key instructions on how to design a comprehensive web analytics strategy. It focuses on how to apply analytical techniques correctly, how to assess the effectiveness of social media and multichannel campaigns, how to optimize success by leveraging experimentation, and how to employ the proper tools and tactics for listening to your customers.

    Prerequisites: MBA 565 - Marketing

  • MBA 598 Statistics 3

    Descriptive and inferential statistical techniques are applied to practical business problems, while understanding the theoretical underpinning and real-world application of these techniques. Techniques include: central tendency, variability, correlation, hypothesis testing, probability, discrete and continuous distributions, two-sample analysis, sampling, ANOVA, and Linear Regression. SPSS or Excel will be used for analysis.

  • MBA 581 Data Analytics 3

    This course will examine core statistical and data analysis techniques that can be used for decision making. Upon completion of this course students will understand data retrieval, analysis, and mining; and decision modeling to effectively persuade in the project-oriented world of data-driven decisions.

    Prerequisites: MBA 598

  • MBA 582 Advanced Data Analytics 3

    This course will examine advanced data analytics that can be used for decision making. Upon completion of this course, students will understand data analysis and decision making modeling using methods such as time series analysis, predictive data mining, optimization models, and Monte Carlo simulation.

    Prerequisites: MBA 581

  • MBA 586 Business Intelligence 3

    This course provides an overview to the field of business intelligence, which has been defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models and fact-based management to drive decisions and actions. The development and use of data warehouses and data marts to support business analytics is discussed. The use of key performance indicators, dashboards ans scorecards for performance management and opportunity assessment are addressed. Text and web mining are discussed, and the application of selected data mining techniques to business decision making situations is illustrated.

    Prerequisites: MBA 582

Total Credits 36