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Master of Financial Technology and Analytics

Become an industry leader who manages disruptions. With an interdisciplinary approach that blends finance, data analytics, and technology, the online Master of Financial Technology and Analytics prepares you to lead in the rapidly evolving world of fintech.

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At a Glance

8 days left to apply
Average 2 Years to Completion
Start date: May 11, 2026
Expert Faculty Mentorship
  • Format: Online
  • Tuition: $38,940
  • Term: Summer 2026
  • 10 Courses

Why Choose Wake Forest’s Master of FinTech and Analytics Program?

To succeed in today’s financial landscape, you need technical skills and a strategic mindset.

Our practitioner-developed curriculum gives you real-world tools in data analytics, financial modeling, and emerging technologies like AI and blockchain, so you’re ready to make an immediate impact today as well as in the future.

You’ll also benefit from our strong industry connections in Charlotte, North Carolina—the nation’s second-largest banking hub—and learn from fintech experts, practitioners, and faculty who bring decades of experience straight into your virtual classroom. If you’re ready to lead in this fast-moving field, this program will get you there.

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Master of Financial Technology and Analytics Core Courses

You’ll complete 9 required online courses, including a capstone that brings everything together. Each course lasts 7.5 weeks. There’s no required order for these courses, so you are free to take courses in the sequence that works best for your schedule, depending on availability.

Financial Technology Today
Course ID: FTA 720
Develop knowledge of the trends, innovations, and uncertainties in financial services. This course explores how fintech enhances industries supported by finance, including real estate and insurance. Learners will also discuss and assess the systems that support innovative technologies, including payment systems, personal banking, peer-to-peer lending, portfolio management, and more.
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Decision Making & Risk Management
Course ID: FTA 730
Learn how to make decisions in an uncertain business environment. This course analyzes the many forms of risk in financial institutions, the drivers of risk, and techniques to mitigate risk. Learners will also gain an understanding of technology laws and regulations, including professional standards of practice, ethical conduct, privacy, and professional obligations, as well as the importance of corporate governance, social responsibility, independence, and integrity in financial decision-making.
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Managing Disruption & Innovation
Course ID: FTA 732
Explore the forces of disruptive innovation in the finance industry. This course empowers learners to implement disruptive and innovative change through assessing new opportunities and threats, planning for disruption, and building a team and culture to implement change. In addition, learners will understand how agile techniques can ensure a responsive and adaptable organization.
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Financial Analytics
Course ID: FTA 710
Gain an understanding of statistical techniques for business, economics, and finance and how to apply those techniques to decision-making. This course teaches how to analyze time-series data and evaluate risk-reward trade-off. Learners will use data analytics software, apply financial analytics in real-world situations, and use statistical and prediction models to analyze and address financial industry problems.
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Visual Analytics & Influencing
Course ID: FTA 714
Develop a deeper knowledge of data visualization methods, techniques, and tools to facilitate and better understand complex data and models. This course explores topics such as cognition and visual perception, storytelling and dashboards, and other advanced data visualization tools. Learners will create meaningful displays of data to make decisions and review examples from real-world business cases where data visualization helps decision makers to make informed decisions.
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Emerging Technologies
Course ID: FTA 722
Survey some of the world’s emerging technological practices, including: blockchain, cryptocurrencies, cybersecurity, robo-advising, lending and payment systems, and other emerging financial technologies. This course will explore the role cryptography plays in securing blockchain-based cryptocurrencies. Learners will understand the scale, complexity, threats to, and solutions possible with cybersecurity, and analyze the opportunities and future directions for robo-advising and lending and payment systems.
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Machine Learning & Artificial Intelligence
Course ID: FTA 724
Explore the impact of machine learning, deep learning, and artificial intelligence tools in finance. While learners will not engage in coding or the building of machine learning and AI tools, this course will cover the practical application of these tools to solve problems in asset management, corporate finance, and financial institution settings.
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Data Management
Course ID: FTA 712
Develop a foundational understanding of databases, data management, and data mining. This course examines the importance of database development and data warehousing in business intelligence. Learners will explore the latest methods of transforming large amounts of data and how to interpret database structures for searches and reporting.
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Capstone in Financial Technology & Analytics
Course ID: FTA 799
Integrate skills and knowledge developed throughout the program. In the capstone, learners will develop and implement a project in leadership, financial analytics, or emerging technology. They will also work on impactful case studies focused on leadership, financial analytics, or emerging technology.
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Master of Financial Technology and Analytics Electives

You will choose 1 elective to take at any time during the program when your selection is available. Wake Forest SPS designs electives with flexibility and relevance in mind. You’ll have access to a wide range of courses across all programs, so you can tailor your learning and deepen your expertise to meet your goals.

Financial Markets and Institutions
Course ID: FTA 751
Gain an understanding of the structure and functioning of US and international financial markets. This course covers related topics, including banking theory, the roles of traditional and non-traditional financial intermediaries, the impact of securitization, international financial competition, financial system stability and financial regulation.
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Emerging Applications and Entrepreneurship
Course ID: FTA 752
Take a hands-on, case-study oriented approach to learning how to build a business that involves financial technologies on the horizon. This course immerses students in topics including opportunity identification, business model development, raising financing, building teams from the ground up, and nurturing new ventures. Learners will take an idea and explore how to successfully build a real product or service.
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Ethics and Responsible AI
Course ID: AIN 722
Explore the key areas of consideration when deploying products that contain AI. This course will cover the social, political, and economic effects that AI may have on society, including an understanding of public concerns with AI such as economic, equity, and human rights. Students will study diverse ethical issues that arise with the widespread and rapid integration of AI technologies, as well as the tools and frameworks for ensuring ethical AI practices to mitigate AI bias.
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AI Implementation Across Industries
Course ID: AIN 724
Learn more about the selection and implementation of AI across various industries and teams. This course will equip students with the skills to leverage AI technologies in interdisciplinary contexts to foster collaboration, ethical decision-making, problem-solving, and impactful integration. Students will review real-world, industry-specific case studies and strategic frameworks in various sectors.
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Marketing Analytics and Data Visualization
Course ID: DMG 720
Learn best practices for gathering, interpreting, and presenting compelling digital data to inspire positive action. This course teaches professionals to use analytical techniques and growing-edge software tools to generate marketing insights and to address marketing problems.
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Technology, Data, and Cyber Risk Management
Course ID: ERM 724
Build a foundational understanding of how to navigate a complex environment with layered technology, data, and cyber risks. This course explores how organizational responses to cyber security, data, and emerging technologies can help organizations avoid minefields and capture opportunities.
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Emerging Cyber Technologies
Course ID: CYB 730
Dive deeper into the latest trends, tools, and innovations at the forefront of the rapidly evolving cybersecurity landscape. This course will explore the potential impacts of these technologies on cybersecurity practices, assess their practical applications, and understand how to integrate them into existing security frameworks. Students will gain a comprehensive understanding of how to leverage emerging technologies in cybersecurity.
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The people who develop & continually refine programs bring expertise from…
I had a conversation with a client and was able to talk about some offerings at a higher level than I was three or four months ago, prior to starting the program. I am much more confident in my abilities to discuss these topics than I was before.
— Aldo Palles, MFTA graduate and Partner at Evercore Wealth Management

Ready to
start your tomorrow?

Your goals are within reach—and we’re here to help you get there.

Meet the Master of Financial Technology and Analytics Academic Director

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Meet the Experts Guiding Your Journey

Mohamed Desoky
Mohamed A. Desoky, Ph.D., MBA
Academic Director and Professor of the Practice in Financial Technology and Analytics
Wake Forest University
David Fogarty
David Fogarty, Ph.D.
Enterprise Marketing Analytics, Technology and Data Leader at Evernorth Corporation and Financial Technology & Analytics Faculty
Wake Forest University
Jacob Case
Jacob Case
VP, IT Systems & Applications, UEW Healthcare and Financial Technology & Analytics Faculty
Wake Forest University
Cara Marshall
Cara Marshall, Ph.D.
Enterprise Risk Management Faculty
Wake Forest University
Alireza Yazdani
Alireza (Al) Yazdani, Ph.D.
Machine Learning Engineer, Beyond Limits and Financial Technology & Analytics Faculty
Wake Forest University
Ivan Bakrac
Ivan Bakrac
Head of Treasury, ConsenSys and Financial Technology & Analytics Faculty
Wake Forest University
Jas Singh
Jas Gaurav Singh, Ph.D.
Financial Technology and Analytics Faculty
Wake Forest University
Dan Sanford
Daniel Sanford
Digital Payment Leader
Wells Fargo
Tyler Traudt Headshot
Tyler Traudt
CEO
DebtBook
Sarah Bacha headshot
Sarah Bacha
SVP, Head of Corporate Strategy & Analytics
LendingTree
Michael Sousa headshot
Michael Sousa
Chief Operating Officer
Bankrate
Christine Kahm
Head of Research
Block
Shannon Kemp, Esq., MBA, CAMS
Director of Financial Crimes
Chime

Where Your Master of Fintech and Analytics Can Take You

With the skills you’ve developed in the program, you’ll be ready to lead innovation in a rapidly growing field. Graduates are prepared for high-impact roles across various sectors, including banking, investment, insurance, and startups. The global fintech market is projected to reach $556 billion by 2030 (Market Research Future), which means employers are actively seeking professionals who can bridge finance, data, and technology.

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