ASU W. P. Carey Tracks Illustration

>> MS-FIN future students

Corporate finance and investments track

Reach your goals faster with the W. P. Carey School of Business. The MS-FIN degree with a track in corporate finance and investments develops deep expertise and provides you with the tools needed to manage complex financial institutions. You’ll engage with motivated ASU graduate students from around the world, business faculty who bring decades of experience into each class session, and career coaches who can connect you with top hiring companies.

At a glance

9-month program

32 credit hours

Excellent career paths

Program cost

MS-FIN (Corporate finance)

Estimated tuition and fees

Resident

$37,608

Nonresident

$57,288

International

$59,488

Career paths and outcomes

$131,710

Median salary for financial managers in the U.S.

Based on five years of work experience

Bureau of Labor Statistics, 2022

17%

Job growth | 2020 to 2030

Much faster than average for all careers

Bureau of Labor Statistics, 2022

A career in corporate finance and investments can open doors to a variety of job titles. And because the skills, tools, and knowledge used in finance are universal, you can open up not just doors to opportunity, but open up a world of opportunity.

  • Financial analyst
  • Cost analyst
  • Quantitative portfolio manager
  • Financial risk analyst
  • Investor relations manager
  • Financial planning and analysis (FP&A) manager
  • Chief financial officer (CFO)

Corporate finance and investments courses

Courses in the MS-FIN corporate finance and investment track build on and align your knowledge throughout the program, culminating in a capstone project.

Contemporary financial accounting and reporting systems; emphasizes the interpretation and evaluation of a company's external financial reports.

Develops analytical techniques and financial theories used to make optimal decisions in a corporate setting.

Empirically investigates properties of financial data such as basic probability theory, matrix algebra, ordinary least squares, and maximum likelihood estimation. Explores these methods both through algebraic derivation and programmed implementation in PYTHON. Provides the basis for portfolio optimization by focusing on the estimation and testing of financial factor models.

Presents the fundamental principles of risk and return, portfolio diversification, asset allocation, efficient markets, active portfolio management, portfolio evaluation. Reviews selected alternative investment strategies such as hedge fund investments.

Examines the financial issues of an international investment decision. Main topics include foreign exchange market, investment alternatives in the international capital markets, and the management of foreign exchange risk.

Intermediate- to advanced-level course in derivative assets such as options, forward and futures contracts, swaps and financial engineering.

Investigates financial data by using techniques such autoregressive and vector-autoregressive models, dimension-reduction techniques motivated by latent factor models and machine learning dimension-reducing techniques. Explores these methods using algebraic derivation and implementation in PYTHON. Builds on the statistical and programming skills developed in FIN 509 and emphasizes forecasting for the optimization of portfolios.

Studies major decision-making areas and selected topics in corporate finance. Attempts to develop decision-making ability in these areas using both lectures and cases.

Intermediate- to advanced-level course in fixed income instruments and associated relative valuation of the securities.

Provides an overview of the economics and institutions involved in entrepreneurial finance. Focuses on the financing of new ventures. Consists primarily of case analysis, supplemented with in-class exercises and lecture material.

Provides a risk management view of financial institutions (also known as financial intermediaries). Traditionally, banking courses have focused on an overview of the financial services industry, sector by sector, concentrating on balance sheet presentations and overlooking management decision making and risk management. In contrast, this course emphasizes a risk management approach.

Explores modern artificial intelligence (AI) and machine learning (ML) technology, applications, techniques and their implications for finance.

Provides a culminating experience as a step in completing the degree. Applies finance principles related to the investment, risk management and financing policies of the firm to develop decision-making ability in these areas. Emphasizes analysis of finance problems through selected readings and case studies.

Analytical methods track

Supplement your corporate finance and investments curriculum with an additional track in analytical methods. In addition to deep coursework that reflects where business is going next, the optional track includes an internship opportunity and career preparation support. It’s a great way to invest in your future and create an edge for yourself in an expanding field.

Explore the analytical methods track