100% online
Accelerated MBA
Data AnalyticsBoost your career prospects with advanced skills in data analytics
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30 credit hours
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Total Tuition: $15,000
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Cost Per Course: $1,500
Apply By
Dec.23, 2024
To Start
Jan.06, 2025
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Advance your career with our flexible MBA Data Analytics
Oklahoma City University’s 100% online MBA Data Analytics is a STEM-designated program designed to equip you with the skills needed to tackle 'Big Data' business challenges. As a student, you will start by enhancing your knowledge in business fundamentals such as economics, decision-making, financial management, operations, marketing, and organizational management. You will then learn how to apply data analysis, visualization, and artificial intelligence prediction tools to maximize value and expand market opportunities for your organization. Finally, the program ensures you graduate with the expertise to transform data into actionable insights and drive business success.
Learning outcomes
Graduates of this degree will be equipped to:
- Effectively motivate and lead others in culturally diverse environments.
- Communicate effectively to lead initiatives and share solutions to complex problems in global business.
- Formulate innovative solutions leveraging technology and core business skills to increase firm value and enhance operations in global business.
- Understand the role of leadership in the strategic direction of the organization by connecting the skills, competencies, and points of view needed by individual leaders as they relate to the larger picture strategic positioning of the organization.
- Apply various statistical tools and techniques to analyze data and make decisions.
Career opportunities
Advance as a professional with the in-demand skills needed for careers such as:
- Data Scientist
- Business Intelligence Analyst
- Data Engineer
- Data Analyst
- Business Analytics Manager
- Analytics Consultant
- Risk Analyst
- Market Research Analyst
- Quantitative Analyst
- Operations Analyst
Flexible learning
With a flexible degree program designed for learning alongside earning…
Oklahoma City University’s online MBA Data Analytics is designed to fit the schedules of working professionals looking to progress into leadership positions. You will acquire essential skills for effective leadership in business strategy, marketing, and finance. This 100% online and part-time program offers the flexibility to balance your learning with your work and personal responsibilities.
Admission requirements
To study Oklahoma City University’s 100% online MBA you will need to have completed:
- An undergraduate degree with a GPA of 3.0 or above for full admission.
Or
- An undergraduate degree with GPA between 2.5–2.99 for provisional admission. You will gain full admission upon successful completion of your first course with a B or better.
And
- Official transcripts from all universities attended must be received by the university to receive full admission and to qualify for financial aid.
Why Oklahoma City University?
Highly qualified teaching staff
78% of faculty members hold the highest degrees in their fields
AASCB-Accredited MBA Programs
MBAs in a range of disciplines to suit your career ambitions
Top 4.5% of Business Schools worldwide
AACSB accreditation places Business School in top 4.5% globally
A flexible learning path
100% online, full or part-time with five starts per year
Accelerated time to completion
Complete an Accelerated MBA in as little as 12 monthsCourses
Accounting for Business Decision Making
This course provides students with a strong knowledge of the application of accounting information for financial reporting and managerial decision making.
Business Strategy for Creating Value
Students will gain an understanding of organizational, competitive, and environmental issues confronting organizations and how firms identify, seize, and defend opportunities in today’s dynamic and rapidly changing global economy.
Data Analysis for Business Decisions
This course focuses on the identification and access of information sources and analyzing the information to make informed decisions and solve managerial problems. Topics include numerical and graphic description of data, confidence intervals, hypothesis testing, regression analysis and predictive modeling, linear allocation models and allocating resources, forecasting, and decision analysis. The course utilizes spreadsheet, statistical, and simulation software.
Managing at the Crossroads
Emphasizing the perspective of managers in the private sector, this course focuses on interactions of economic principles at work at the interfirm, intra-industry, and inter-industry levels (microeconomics), at the economy-wide level (macroeconomics), and at the global level (international economics).
Strategic Marketing Decisions for Creating Value
This course is concerned with crafting marketing strategies and making marketing decisions. At the end of the course, students should be able to structure and solve rather complex marketing problems.
Financial Strategy and Decision Making
Fundamental concepts such as time value of money and risk-return relationships in finance are presented in detail. Financial decisions faced by modern business enterprises are analyzed in the framework of financial theories. These decisions include capital budgeting, long-term financing, dividend policy, short-term financial management, and performance evaluations.
Ethical, Societal, & Legal Environment of Bus
This course examines areas of law and ethics that relate to the contemporary business environment. Areas of study include contracts, torts, white collar crime, product liability, anti-competitive practices, consumer protection, employment practices, business organizations, and the legal and ethical responsibilities.
Computer Programming for Data Scientists
This course is designed to teach the fundamentals of programming as it relates to the development of data science and analytics solutions. May include software platforms Python or R.
Data Engineering
An integrated study of systems for collecting, storing and retrieving data with a particular emphasis on relational databases. May include Snowflake, SQL SERVER, MySQL.
Data Visualization
A course on communication of analytical and data science results using visualization software. May include Tableau, PowerBi and other visualization packages.