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Today’s financial and non-financial corporations are actively seeking bright individuals with the right knowledge for making sound financial decisions. As a finance major at VSB, you will learn finance theory alongside of technology, quantitative methods and communication, while also developing an understanding of global and ethical issues. A minor will supplement any business degree by providing greater financial acumen and critical thinking skills that enable you to add value to any organization.

Earning a Major

You must complete the core curriculum and the business curriculum, along with the three required finance courses plus three finance elective courses (excluding FIN 2343, FIN 3350, FIN 3360 and FIN 3470).

Earning a Minor

You must complete core curriculum and business curriculum plus your major requirements, along with the three required finance courses (noted by *).


Description: Risk and return relationships; valuation models; cost of capital; capital structure; capital budgeting; dividend policy; international financial transactions; financial statement analysis and forecasting; working capital management. Emphasis on computer applications and case studies.

  • Prerequisites: (VSB 2020 (concurrency) and VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040) or FIN 1113
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Summer 2019
  • CRSE Attributes: Writing Enhanced Requirement

Description: Overview of fixed income markets and securities traded within those markets; bond valuation; duration and convexity of fixed income securities; asset backed security markets and valuation; credit risk analysis interest rate determination and models; interest rate risk management.

  • Prerequisites: (VSB 2020 (concurrency) and VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040) or FIN 1113
  • Credit Hours: 3
  • Last Offered: Fall 2020, Summer 2020, Spring 2020, Fall 2019
  • CRSE Attributes: Writing Enhanced Requirement

Description: Risk and return; market efficiency; structure of equity markets; equity trading strategies; financial statement analysis and ratio analysis; financial forecasting; valuation of common stocks using fundamental, relative, and technical analysis; convertible securities, warrants, equity options, and risk management applications.

  • Prerequisites: (VSB 2020 (concurrency) and VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040) or FIN 1113
  • Credit Hours: 3
  • Last Offered: Fall 2020, Spring 2020, Fall 2019, Spring 2019
  • CRSE Attributes: Writing Enhanced Requirement



Offered only to finance majors, this concentration focuses on the quantitative side of financial markets, targeting the practical application of quantitative techniques, in addition to utilizing financial theory. Designed for top students, this challenging curriculum incorporates higher-level math, statistics and computer science with a strong tie to technology to prepare students for the future of finance. This program, unlike other majors, is by application only.

Description: Integration (indefinite, definite), applications of integration (area, volume, applications to physics and economics, etc.), methods of integration, approximate integration (trapezoidal and Simpson's rules), improper integrals, differential equations, infinite sequences and series. Continued use of a computer algebra system. 4.00credit(s)

  • Attributes: Calculus II A & S Core, First Year MAT Option
  • Restrictions: Must be enrolled in one of the following Levels: Undergraduate
  • Prerequisites: Undergraduate level MAT 1500 Minimum Grade of D-

First-order and linear second-order differential equations, matrices and linear equation systems, eigenvalues and eigenvectors, and linear systems of differential equations. 4.00credit(s) Prerequisites: (VSB 2020 (concurrency) and VSB 2009 or VSB 2010 or VSB 2030 and VSB 2040) or FIN 1113

  • Credit Hours: 4
  • Prerequisites: Undergraduate level MAT 1505 Minimum Grade of D-

If a student has been exempted from MAT 1505 due to AP credits then they must take an additional higher-level Math, Statistics or Computer Science course as approved by the Director of Applied Quantitative Finance. A suggested list of classes is available and may vary from year to year.


Description: Simple and multiple linear regression, including prediction, correlation, model building, multicollinearity, influential observations, and model fit; ANOVA for designed experiments, including completely randomized, randomized block and factorial designs; Time Series including linear time series models, moving averages, autoregressive and ARIMA models, estimation and forecasting. 

  • Credit Hours: 3
  • Prerequisites: MAT 1505 and ( MAT 1430 or STAT 1430 or MAT 4310 or STAT 4310)

Description: Probability, random variables, joint distributions, expected values, limit theorems, distributions derived from the normal distribution. 

  • Credit Hours: 3
  • Prerequisites: MAT 2500

(Note a student may elect to take a challenge exam as administered by the Math department on double integrals instead of taking the pre-requisite of MAT 2500 - Calculus III)


Description: Explores a problem-solving methodology that employs programming. Emphasis upon identifying capabilities and limitations of the programming approach. Learn skills and techniques to define business problems, design solution processes, develop program specifications, code, debug, and document and defend solutions.

  • Credit Hours: 3
  • Prerequisites: VSB 2006 and VSB 2020 Concurrency: Yes and ( VSB 2009 Concurrency: Yes or VSB 2010 or VSB 2030 Concurrency: Yes and VSB 2040 Concurrency: Yes)

Description: Fast-paced coverage of R. Topics includes libraries, tidyverse, IO, data types and storage, data analysis and display, function writing, higher-order functions vs loops, and performance.

  • Credit Hours: 1
  • Prerequisites:MAT 1400 or MAT 1500 and ( MAT 1235 or MAT 1430 or STAT 1235 or STAT 1430) and MIS 2020 or CSC 1010

Description: The process of exploring and modeling large amounts of data to uncover previously unknown patterns. Using data mining techniques, managers can exploit large databases, identifying useful patterns to help make business decisions. Applications to marketing, finance and other business disciplines. VSB 2005 Business Statistics or equivalent or instructor permission.

  • Prerequisites: (VSB 2020 and VSB 2008 and VSB 2009 (concurrency) or VSB 2010 (concurrency) or VSB 2030 (concurrency) and VSB 2040 (concurrency)) or MGT 1102
  • Credit Hours: 3


An intermediate course in stochastic methods with emphasis on applications; estimation, hypotheses testing, regression analysis, economic forecasting, time series analysis and probabilistic formulation of economic relationships such as consumption and production functions.

  • Credit Hours: 3
  • Prerequisites: ( ECO 1001 and ECO 1002) and ( MAT 1430 or MAT 1235 or MAT 2310 or MAT 4310 or STAT 1235 or STAT 1430 or STAT 2310 or STAT 4310 or VSB 2005)

The Finance major requires three elective courses. The following requirements and choices are acceptable for this concentration:

Required elective selection:

  • FIN 2325 – Introduction to Derivatives 
  • A choice of one of the following elective courses:
  • FIN 2230 – Risk Management of Financial Institutions
  • FIN 2326 – Market Structure, Trading & Liquidity
  • FIN 2324 – Portfolio Management
  • FIN 2333 - Financial Modeling & Valuation
  • In the student's fourth year a soon to be developed and engaging Capstone course will culminate the concentration and is required.
  • FIN XXX – Quantitative Finance Capstone


The Clay Center at VSB/ O’Donnell Center for Professional Development
Bartley 1054
The Clay Center Team/O’Donnell Center Team

Office Hours: Monday - Friday 8 a.m. - 5 p.m.