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FinTech and Financial Data Analytics, M.S.

Program Snapshot

30 Credits

New York Tech’s unique FinTech & Financial Data Analytics, M.S. blends finance, technology, and data science to explore how money moves and decisions are made. Gain essential fintech skills in digital banking, blockchain systems, and more, as well as robust analytical techniques to help you lead in the modern financial landscape. 

Why Earn a Master’s in FinTech and Financial Data Analytics at New York Tech?  

From mobile banking and digital payments to blockchain and robo-advisors, financial technology (fintech) is expanding at an exponential pace in both traditional banks and agile startups. Financial data analytics enable smarter decision-making using the power of data science, such as real-time risk assessment, fraud detection, algorithmic trading, and personalized services. Together, they are transforming the financial industry into a faster, more transparent, and data-driven ecosystem. 

New York Tech’s FinTech and Financial Data Analytics program aims to develop hybrid “T-shaped” professionals with deep knowledge of finance and analytics, and broad expertise across technology and business. Through hands-on projects and case studies, you’ll tackle real datasets and business challenges—designing trading algorithms, building blockchain prototypes, or even launching a cryptocurrency in a startup setting—while mastering analytical techniques like data visualization, machine learning, and data mining.

Combining fintech innovations and the actionable insights of financial data analytics, our program prepares you to drive innovation and reshape how global financial decisions are made.

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What You’ll Learn

Gain a well-rounded foundation based on four key pillars: finance, technology, data analytics, and regulation. Learn to apply financial theory using programming and data analysis, develop fintech solutions (such as smart payment or investment apps), and evaluate the ethical and regulatory considerations of new financial technologies. Our program concludes with a capstone project, where you’ll apply your skill set to real fintech challenges, creating a portfolio that showcases career-ready expertise.

Where Technology Meets Business

Prepare to Innovate

FinTech drives innovation in digital banking, payments, and investments, while financial data analytics uses big data and AI to detect fraud, assess risk, and guide smarter financial strategies. The convergence of FinTech innovations with data analytics is reshaping how financial decisions are made, creating a more connected global economy. 

Build a Competitive Skillset

Dive into blockchain, smart contracts, and crypto assests, while exploring mobile payments, digital banking, APIs, and user-focused financial apps. Master machine learning for trading, risk, and portfolio optimization, and apply data mining to uncover trends and anomalies—building powerful, evidence-based decision-making skills.

Get Ready to Excel

Companies in fintech are hiring aggressively, seeking professionals who can build smart financial tools, automate processes, and prevent fraud in real-time. FinTech firms prioritize roles that blend tech savvy with finance—they’re not just looking for coders, but for creative problem-solvers who understand user experience and compliance. 

Stats & Rankings

30

Student-led tech startups have been launched in the past six months as part of New York Tech’s NESTS program.

#18

Most Innovative School (North)

U.S. News & World Report 2026

Top 5%

of Business Schools Globally Earning AACSB Accreditation

AACSB

Career & Salary Outlook

Fintech careers are exciting, lucrative, and fast-growing. Graduates can expect competitive compensation and rapid career progression, especially if they join high-growth fintech firms or tech-forward financial institutions. 

Job Growth

  • The fintech sector’s annual job growth is projected to be around 11–12%, outpacing most other industries and indicating strong hiring momentum. (Georgia Fintech Academy) 
  • Fintech engineers are projected to be the second fastest-growing job in the world over the next five years. (The World Economic Forum

Career Options

  • Financial Data Scientist/Analyst 
  • Fintech Product Manager 
  • Blockchain Developer 
  • Risk & Compliance Analyst 
  • Quantitative Analyst & Algo-Trader  

Salary Projections

  • The average fintech professional salary runs approximately $120K+ and is higher than many traditional finance roles. (Georgia Fintech Academy) 
  • Specialized positions in areas like AI, blockchain, or cybersecurity can command premium salaries exceeding $150–200K for experienced talent. ([Georgia Fintech Academy) 

Program Details

Learn more about the FinTech and Financial Data Analytics M.S. program, including admission requirements, how to apply, and scholarship/funding opportunities. 

To apply to the FinTech and Financial Data Analytics, M.S. program, you must meet these requirements:

  • B.S. or its equivalent from an accredited college or university 
  • Minimum undergraduate GPA of 3.0 
  • The GMAT is not required but may be submitted if a student’s undergraduate GPA is below the requirement. 

To apply, submit the following:

  • Completed application 
  • $50 nonrefundable application fee 
  • Copies of undergraduate transcripts for all schools attended. All final, official transcripts must be received prior to the start of your first semester. 
  • Copy of college diploma or proof of degree 
  • Official GMAT scores, if required (New York Institute of Technology GMAT Codes: 
    • Full-time (nine or more credits): OQN-RL-35 
    • Part-time (less than nine credits): OQN-RL-74 
  • Note that international students have additional requirements, including English proficiency, I-20, and a transcript evaluation. 

Explore opportunities to offset program costs, including New York Tech scholarships, graduate assistantships, and federal financial aid. 

International F-1 students who successfully complete this degree program are eligible for an additional 24-month STEM OPT extension to work in the U.S. in an area directly related to their area of study immediately upon completing the customary 12-month post-completion Optional Practical Training (OPT).

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