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Business Data Analytics | MBA in Data Analytics Concentration | Graduate Degree Program

Business Data Analytics | MBA in Data Analytics Concentration

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As business models become more data-driven, the way in which you collate, manage and analyze your data is more important than ever. The insights provided through advanced data analytics are the most powerful tools in driving innovation, engaging customers and boosting efficiencies. They will equip business and industry to compete – and succeed – in entirely new ways. Students in our Business Data Analytics program desire greater business experience and specialized knowledge to lead their team or organization. They may work as business analysts or analytics managers, or they may need analytics knowledge to advance in marketing or accounting teams. 

At Ottawa University

Competency in Business Data Analytics is now a staple in every organization as a result of the dependence on data science in decision-making, the growth of e-commerce and the increase in utilization of communication channels including social networks. This accelerated program focuses on the business and management side of business data analytics. The skills acquired in Ottawa University's accelerated, online MBA Data Analytics program will be more focused on the management of data and systems as opposed to the technical aspects such as software development, and quantitative analysis only.

Careers

The accelerated, online Master of Business Administration program with a concentration in Business Data Analytics is designed for business professionals who must extract data to explain trends, predict future performance, determine best approaches, and explain solutions to stakeholders. With skills focused on the management of data and systems, students will be able to:
• Spark change by turning data analysis into tangible resources for decision making.
• Define business problems and translate statistical analysis into business intelligence that improves performance.
• Interpret and visualize raw data to make it digestible and accessible for business users.
• Integrate and suggest solutions that use data modeling.
• Define and align database requirements.

Career Outlook

According to the U.S. Bureau of Labor Statistics, the overall employment of mathematicians and statisticians is projected to grow 33 percent from 2019 to 2029, much faster than the average for all occupations. Businesses will need these workers to analyze the increasing volume of digital and electronic data. Many mathematicians and statisticians work in the federal government and in private science and engineering research companies. They may work on teams with engineers, scientists, and other professionals. The median pay for mathematicians and statisticians is $92,030 per year.

Mathematicians and statisticians apply theories and techniques, such as mathematical or statistical modeling, to solve practical problems. Typically, they work with individuals in other occupations to solve these problems. For example, they may work with chemists, materials scientists, and chemical engineers to analyze the effectiveness of new drugs. Others may work with industrial designers to study the aerodynamic characteristics of new automobiles. In the computer systems design and related services industries, they may be known as computer programmers or systems analysts. In finance, they may be known as quantitative analysts. Other industries may refer to them as data scientists or data analysts.

Accreditations

  • HLC Accredited University

Ottawa University is accredited by The Higher Learning Commission (HLC).

  • ACBSP Accredited Business Program

The Accreditation Council for Business Schools and Programs (ACBSP) Baccalaureate/Graduate Degree Board of Commissioners has awarded Ottawa University accreditation of selected business programs.

Why Choose Ottawa?

The courses in Ottawa University's Business Data Analytics program are 100% online. We make it easy for you to transfer credits in order to help keep tuition costs down. We also offer courses in accelerated 8-week terms in order to reduce your time to completion. Learn how to solve real world analytical problems and master professional analytical tools from the best option in Kansas City, Milwaukee, Phoenix, and other areas.

Download our Business Data Analytics Program Sheet

See Also: 

If you are interested in discovering the latest business trends, then please visit our Business Blog Spot.

To learn more about earning your online MBA Data Analytics degree from Ottawa University, contact us today.     

MBA with Business Data Analytics Concentration (36 credit hours)

Concentration Courses (12 credit hours)

Data Analytics | IT 8000 (3 credits)  
Course covers the essential exploratory technique for summarizing data.  Modeling techniques covered include predictive modeling, also known as predictive analysis; cluster analysis, segmenting, affinity analysis, and applied predictive analytics.  Course is dependent on a sound understanding of statistical analysis techniques, such as regression analysis and hypothesis testing.  Prerequisite:  Undergraduate statistics course.

People Analytics | IT 8201 (3 credits)
Delve into prescriptive analytics techniques to understand and improve a firm's organizational processes.  Specifically, diversity analytics, predicting employee turnover, predicting employee performance, recruitment analytics, and intervention impact will be covered by using analytics process models.

Market Analytics | IT 8202 (3 credit hours)
This course explores customer data analysis techniques and their theoretical foundations to help students acquire analytic skills that can be applied to real-world market-related problems from empirical data in such areas as segmentation, market positioning, satisfaction management, customer lifetime analysis, customer choice, and drive marketing maximization, effectiveness and optimization return on investment (ROI).  The course covers how to analyze data to understand customers and inform marketing decisions, evaluate the quality and usefulness of available data and analyses conducted by others, and communicate analysis-based conclusions to colleagues and managers.

Operations Analytics | IT 8203 (3 credit hours) 
Explore techniques to understand and improve businesses operational capabilities.  Process Analytics, focusing on individual processes to improve method performance, quantify the impact of randomness, and visualize process quality is covered.  The course analyzes issues related to the design and management of the Supply Chains using quantitative tools such as linear, integer, and non-linear techniques, regression, and statistical analysis to forecast uncertain demand, optimize inventory, and design distribution networks to ensure the supply demand.

Master of Business Administration Courses

Module 1 - Behavioral Courses (6 credit hours)

Organizational Behavior and Theory | BUS 7000 (3 credit hours) 
Examines human behavior as it impacts the work organization. Includes theoretical foundations of motivation, group dynamics, leadership, decision-making, satisfaction and performance.

Value Systems and Professional Ethics | BUS 7200 (3 credit hours) 
Study of personal and corporate value systems and decision making. Investigation of personal beliefs, purposes and attitudes, and their effects on self and others. Examines the ethical dimensions of organizational structures and practices.

Module 2 - Core Courses (15 credit hours)

Strategic Marketing | BUS 7450 (3 credit hours) 
Covers the identification and selection of marketing opportunities, target markets and design, and implementation and evaluation of marketing programs.

Managerial Economics | BUS 7500 (3 credit hours)
Application of economic theory to managerial. Emphasis on both quantitative and qualitative application of microeconomic principles to business analysis.

Managerial Finance | BUS 7600 (3 credit hours)  
Application of the theories and tools used in financial decision making. Topics include present value and capital budgeting, financial analysis and forecasting, market efficiency and capital structure.

Management Information Systems | BUS 7700 (3 credit hours)
Examines the use of computer information systems in business organizations with emphasis on how information technology supports business functions and aids managerial decision-making. Explores current trends and emerging technologies.

Management Accounting | BUS 7800 (3 credit hours) 
Explore use and application of accounting information for planning, control and decision making. Topics include: cost analysis and allocation, budgeting and behavioral aspects of accounting systems.

Module 3 - Capstone Course (3 credit hours)

Graduate Seminar: Business Policies and Strategy | BUS 8500 (3 credit hours)   
Capstone course in which participants develop a major case study of business administration issues, programs and policies in a current organization. Draws from and utilizes concepts, theories, and skills developed in previous courses.

Full Degree Catalog
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