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Masters of Financial Technology and Analytics

30 total credits | average 2 years to complete

36
DAYS
Left to Apply
9
JAN
Next Start Date
Format
Online
Tuition
$35,000
Courses
10
Term

Spring 2023

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Deepen Your Expertise to Elevate Your Career

Fintech has a myriad possibilities as companies seek to make customer interactions more robust, secure, equitable, and efficient. The online Master of Financial Technology and Analytics (MFTA) empowers working professionals to advance in this emerging field. You will study fintech and analytics fundamentals as well as artificial intelligence, disruption, innovation, and risk management. You’ll develop expertise in leadership and ethical decision-making that will set you apart.

In the Wake Forest University online Master of Financial Technology and Analytics (MFTA),  what you learn can be applied to numerous industries, including banking, finance, manufacturing, retail, healthcare, transportation, and media. Work with start-ups and ride the wave of new-school entrepreneurship, or become an intrapreneur who innovates new technologies within established global companies.


Master of Financial Technology and Analytics Highlights

Be at the forefront of fintech with the Wake Forest online master’s in financial technology and analytics. This innovative program takes an interdisciplinary approach to fintech and prepares you with the technical, analytics, and leadership skills that employers seek. With a master’s degree in fintech, you set yourself up for success now and in the future.

The Wake Forest School of Professional Studies is located in Charlotte, North Carolina, the second-largest banking center in the nation. The program’s network includes leading fintech experts, practitioners, and faculty with decades of combined experience to ensure that the program responds to market needs and expectations.


Admissions Criteria

To enroll in the online Master of Financial Technology and Analytics, a candidate must complete an online application, in which they will submit:

  • A current resume
  • A bachelor’s degree transcript from an accredited college or university.*

Candidates must complete a virtual interview with a Student Success Manager. 

*An unofficial transcript is acceptable for admission; an official transcript is due by the start of the first course.


$105B

Invested in global financial technology (fintech) in 2020, and projected to continue to grow
65,000+

Charlotte-area residents are employed in the banking and financial services industries.
17%

The national outlook for finance employment is expected to expand over the next decade.

Learning That Fits Your Life

Enjoy 100% online learning and flexibility. Take your classes on your time and at a pace that suits your schedule. The fintech and analytics program includes optional live video sessions, so you can engage with faculty and peers directly. Complete your master’s degree in approximately two years, or choose to speed up or extend your learning, so you can graduate on your own timeline.

Core Courses

There are 9 required core courses including the Capstone course. Students may chose 1 elective.

There is no prescribed order for the courses, you may take them in the order that works for you when your selection is available.

  • Financial Technology Today

    This course is an introduction to trends, innovations, and uncertainties in financial services. Learners will discuss and assess the systems that support innovative technologies, including payment systems, personal banking, peer-to-peer lending, and portfolio management, as well as property registration, accounting and auditing, smart contracts, and financial derivatives.
  • Decision Making & Risk Management

    A practical overview of how to make decisions in an uncertain business environment. Learners will analyze the many forms of risk in financial, operational, and information systems, learn the drivers of risk and techniques to mitigate risk, and use data-driven approaches to accelerate decision making, reduce bias, and improve financial results.
  • Managing Disruption & Innovation

    This course highlights the forces of disruptive innovation in the finance industry and empowers students to implement disruptive and innovative change. Learners will assess new opportunities and potential threats, identify and plan for potential disruptions in finance, and build a team and culture to implement change. The course will also cover how agile techniques can ensure a responsive and adaptable organization.
  • Financial Analytics

    This course teaches statistical techniques for business, economics, and finance, and how and when to apply those techniques to decision-making. 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. They will also analyze time-series data and evaluate risk-reward trade-off.
  • Visual Analytics & Influencing

    This course provides a survey of data visualization methods, techniques, and tools to facilitate and better understand complex data and models. Learners will create meaningful displays of data to make decisions and explore topics, such as cognition and visual perception, storytelling and dashboards, and other advanced data visualization tools. They will also review examples from real-world business cases where data visualization helps decision makers visualize, discover, and decode the hidden information to make informed decisions.
  • Emerging Technology

    This course offers an overview of emerging technological practices, including: blockchain, cryptocurrencies, cybersecurity, robo-advising, lending and payment systems, and other emerging financial technologies. Because of the timeliness of this study, this course will be updated regularly to reflect the latest trends in the field.
  • Machine Learning & Artificial Intelligence

    This course offers insight on machine learning, deep learning, and artificial intelligence. While learners will not engage in the coding or building of machine learning and AI tools, they will explore the application of these tools in finance to solve practical problems in asset management, corporation finance, and financial institution settings. The course will cover practical applications of machine learning methods and techniques, artificial intelligence and its application to operational and financial risk, as well as how machine learning tools can prevent financial fraud.
  • Data Management

    This course is foundational to understanding databases, data management, and data mining. Learners will interpret database structure for searches and reporting, understand the importance of database development and data warehousing in business intelligence, explore the latest methods for transforming large amounts of data, and discuss data manipulation best practices.
  • Capstone in Financial Technology & Analytics

    An opportunity to integrate program content in a culminating experience that will enable an organization to advance its financial technology and analytical capabilities or enhance its fintech products/services.
  • Electives

    Students in the Financial Technology and Analytics graduate program will take 1 elective.

    Electives can be taken at any time during the program when your selection is available.

  • Leadership & Change Management

    This course is a survey of the knowledge, skills, and tools necessary to successfully undertake change. It explores the leadership principles, styles, frameworks, and skills required to guide, motivate, and direct teams. Learners will develop the ability to prepare, support, and assist individuals, teams, and organizations in organizational change.
  • Marketing Analytics and Data Visualization

    This course covers best practices for gathering, interpreting, and presenting compelling digital data to inspire positive action. This course will explore the following topics: marketing analytics (including the use of analysis techniques to generate marketing insights and to solve marketing problems), data mining, segmentation, customer modeling, product/feature development analysis, and the communication of data-derived insights via data visualization. Cutting-edge software tools (e.g., JMP, Tableau, Google Analytics, JungleScout) will be integrated into this course, and opportunities will be provided for the students to gain hands-on experience.
  • Financial Markets and Institutions

    An overview of the structure and functioning of US and international financial Markets, this course covers topics such as banking theory, the roles of traditional and non-traditional financial intermediaries, the impact of securitization, international financial competition, financial system stability and financial regulation.
  • Emerging Applications and Entrepreneurship

    TThis is a hands-on, case-study immersion experience in how to build a business that involves emerging, financial technologies. Instruction will explore 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.