100% online
Accelerated MBA
Financial AnalyticsAdvance your career with sought-after finance analysis skills
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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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Become a leader in finance with our fully flexible MBA Financial Analytics program
Oklahoma City University’s 100% online MBA Financial Analytics is a STEM-designated program that combines business fundamentals such as economics, decision-making, operations, marketing and more with specialized learning in corporate finance, investments, data analysis, computer programming, and Excel-based financial modeling, as well as portfolio and risk management. As a graduate, you will have gained the skills needed to address specific business questions and predict future financial scenarios for organizations, ensuring you are well-prepared to meet the demands of the finance industry.
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.
- Develop skills in constructing and managing a diversified investment portfolio as well as
- Evaluate global economic and regulatory factors to grow business operations ethically and sustainably.
- Analyze data using quantitative techniques to mitigate risk and support operational efficiency and strategic decision-making.
- Develop skills in constructing and managing a diversified investment portfolio, analyze risk and return.
- Conduct financial modeling to assess profitability and risk.
Career opportunities
Advance as a professional with the in-demand skills needed for careers such as:
- Financial Analyst
- Risk Manager
- Investment Banker
- Portfolio Manager
- Financial Controller
- Corporate Financial Analyst
- Equity Research Analyst
- Financial Planning and Analysis Manager
- Quantitative Analyst
- Chief Financial Officer
Flexible learning
With a flexible degree program designed for learning alongside earning…
Oklahoma City University’s 100% online MBA program is designed for busy working professionals seeking to transition into leadership roles. This program equips you with the essential skills and capabilities to excel as a business leader in strategy, marketing, and finance, all while enjoying the flexibility of fully online, part-time study – allowing you to strike a balance between your learning and personal commitments.
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.
Computational Finance & Financial Modeling
Introduces Excel VBA, Monte Carlo simulation, efficient frontier, portfolio optimization, asset pricing models, capital budgeting decisions, yield curves and bond strips.
Portfolio & Risk Management
Programming and data analytics. Calculate portfolio performance parameters, conduct security fundamental analysis with ratios and build optimized portfolios using the Index Model. Discussion of risk measures such as Value at Risk (VaR), Conditional Tail Expectations (CTE), and Lower Partial Standard Deviation (LPSD). Risk management strategies through hedging.
Computer Programming for Data Scientists
This course 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.