MBA in Financial Analytics (STEM)

Our program curriculum encompasses a wide range of courses tailored to provide you with a holistic understanding of data analytics and its applications in business. Let's explore some of the key courses offered in our program:

MBA 5123 – Effective Leadership & Communication

Based on the established foundations of the Authentic Leadership Model and utilizing the in-depth CDR Assessment Group program for self-assessment and leadership coaching, this course facilitates the development of interpersonal and team skills leaders need to function effectively. The primary focus is on integrated behavioral competencies demanded in organizations today: self-awareness, communication, negotiation, collaboration, and relationship building. Students will work through their own, individualized leadership profile assessments, evaluate effective leadership behaviors, and explore techniques and processes to communicate and negotiate effectively within organizations.

ACCT 5213 – Accounting for Business Decision Making

Emphasis on the application of accounting information for financial reporting and managerial decision making.

MGMT 5213 – Business Strategy for Creating Value

Focuses upon organizational, competitive, and environmental issues confronting organizations and how firms identify, seize, and defend opportunities in today’s dynamic and rapidly changing global economy.

ECON 5313 – Data Analysis for Business Decisions

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.

ECON 5413 – Managing at the Crossroads: The Global Economic Environment

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).

IT 5603 Advanced Data Analytics and Artificial Intelligence

This course seeks to expand students’ knowledge of the role of technology and data in the decision making process and in the planning and management of organizations. Students gain understanding of Business Intelligence, Analytics, Data Science, Artificial Intelligence (AI), Decision Support Systems (DSS), Data Mining, Machine Learning, Predictive Analytics, Big Data, Cloud Computing, Robotics, Group DSS, Collaboration Systems, and the Internet of Things (IoT).

MKTG 5103 – 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.

FIN 5303 – 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.

MGMT 5703 – Ethical, Societal, and Legal Environment of Business

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.

IT 5113 Programming & Scripting Languages (prerequisite)

Master the fundamentals of programming and scripting languages to effectively manipulate and analyze financial data.

Fin 5113 Computational Finance & Financial Modeling

Acquire advanced skills in computational finance and financial modeling, leveraging quantitative methods and techniques to solve complex financial problems.

Fin 5213 Portfolio & Risk Management

Gain in-depth knowledge of portfolio management principles and risk assessment techniques, enabling you to make informed investment decisions and manage risk effectively.

Apply now and take the first step towards a rewarding and successful career in Financial Analytics!

Prerequisites are not required.

Applicants must demonstrate a basic understanding of analytical techniques and have strong communication skills. Low-cost MBA prep courses are available to enhance the understanding of key subject areas.

Applications are evaluated on an individual basis considering the following factors:

1. Academic Background (transcript)
2. Professional Experience (resume or CV)

For questions about the application process:

Cindy Treadway
Meinders Graduate Advisor
[email protected]
405-208-5154

For questions about the international application process:

Aaron Wheelbarger
Director of International Admissions
[email protected]
405-208-5006

Currently, Meinders School of Business is processing applications and issuing i20s for MBA in Financial Analytics.

*General Fees waived for students receiving tuition assistance from Meinders Corporate Partners.

Located minutes from Downtown OKC, the business school contains cutting-edge technology in more than 12 teaching rooms, four executive classrooms, large and small conference rooms, four computer labs, including the Bloomberg Finance Lab for access to the latest investment data, breakout rooms for small-group meetings, and a 250-seat, theater-style auditorium.

For specific program questions, please contact:

Sri Beldona Ph.D.
Dean
[email protected]

Cindy Treadway
Meinders Graduate Advisor
[email protected]
405-208-5154