Virginia Tech® home

FinTech and Big Data Analytics

Welcome to FinTech and Big Data Analytics

Blend finance, computer science, and data analytics to solve real-world problems in a rapidly evolving industry. This major equips you with advanced skills and technical expertise for impactful careers in quantitative financial analytics, algorithmic trading, and more.

100%

PLACEMENT RATE
2020-2024

$82K-$120K

STARTING
SALARY RANGE

What is FinTech?

FinTech is the integration of finance, computer science and computation modeling, and data analytics to solve very complex quantitative finance problems – creating efficiencies and streamlining financial processes. The finance industry has rapidly evolved in embracing FinTech-Quantitative Finance skill sets.

Why FinTech & Big Data Analytics?

The FinTech and Big Data Analytics Major (FBDA) is designed to meet an increasing need in the financial industry for personnel who have both in-depth knowledge of finance and advanced analytical and computational skills. It contains a much more rigorous curriculum in math, statistics, and computer science in addition to the typical finance courses, and concludes with a capstone finance class that applies these technical and innovative skills to address real-world financial problems.

ACCOUNTING

  • Principles of Accounting
  • Financial Statement Analysis

BUSINESS INFORMATION TECHNOLOGY

  • Business Statistics, Analytics & Finance
  • Operation and Supply Management
  • Introduction to Business Analytics Modeling
  • Advanced Business Analytics in Python and R

COMPUTER SCIENCE

  • Introductory Data Analytics & Visualization
  • Introduction to Programming in Python
  • Introduction to Software Design
  • Software Design & Data Structures

ECONOMICS

  • Principles of Economics

FINANCE

  • Introduction to Finance
  • Legal and Ethical Environment of Business
  • Python/SQL for Data Analytics & Financial Analytics
  • Investments: Debt, Equity, & Derivatives
  • Corporate Finance
  • Financial Modeling in Excel
  • FinTech Capstone Course

FINANCE ELECTIVE COURSES

  • Students must complete one.
  • International Financial Management
  • Fixed Income Securities
  • Managing Risk with Derivatives
  • Equity Securities

MANAGEMENT

  • Introduction to International Business
  • Management Theory & Leadership
  • Practice Strategic Management

MARKETING

  • Marketing Management

MATHEMATICS

  • Calculus of a Single Variable
  • Multivariable Calculus
  • Introduction to Linear Algebra

STATISTICS

  • Statistical Methods
  • Probability & Distributions

STUDENT KNOWLEDGE OUTCOMES

-In-depth knowledge of finance, advanced analytical and computational skills

-Technical, highly specialized industry knowledge

Targeted Curriculum

Example Careers

  • Mathematics
  • Statistics
  • Computational Modeling
  • Data Analytics
  • Quantitative Finance
  • Financial Data Analytics
  • Portfolio Analytics
  • Risk Management Modeling & Analysis
  • Algorithmic Trading
  • Structure Products Modeling & Analysis

FINTECH EMPLOYERS

Our graduates have gone on to work for firms such as Accenture, Amazon, Bank of America, Caerus Commodities, Capital One, Citi, Clarabridge, Compass One Healthcare, Deloitte, Deutsche Bank, EDF, Fannie Mae, Freddie Mac, Geico, KBR, KPMG, L’Oréal, Microsoft, Northrup Grumman, SEI, Tios Capital, Tradeweb, and Wells Fargo, among many more!

 

INTERNSHIP PLACEMENTS

Students in the FinTech option will typically find an externship the summer after their sophomore year, and an internship after their junior year. In many instances, the junior year internship will lead to a full-time placement.

Current students have been placed in a vast array of companies for their internships encompassing investment banking, consulting, energy and commodity trading, government, investments, financial planning, and corporations.

ALUMNI IN THE FIELD

See what graduates of the Fintech and Big Data Analytics Major are up to!

Meet Your FinTech Faculty Lead

CARA SPICER

The faculty lead is available to all students in the major, providing academic advising, guidance, mentorship, and collaboration to support their academic and career decisions.