Master of Science in Financial Analysis (STEM)

QS - Temple University

USA,Pennsylvania

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22 Months

Duration

CAD 19,063/year

Tuition Fee

CAD 60 FREE

Application Fee

Sep 2025

Apply Date

USA, Pennsylvania

Type: University

Location Type: Urban

Founded: 1884

Total Students: 33,000 +

Int. Students: 2,000 +

Campus Detail

Main Campus Address

1801 N Broad St, Philadelphia, PA 19122, United States

Master of Science in Financial Analysis (STEM)

Program Overview

The global financial environment continues to evolve in unprecedented ways with new technologies, traded instruments and market players. In response, firms are adjusting their business strategies and professionals understand they will need new skills not typical of their roles in the past. 

The Master of Science in Financial Analysis in Temple University’s Fox School of Business emphasizes cutting-edge academic thinking and hands-on practical applications to prepare tomorrow’s finance professionals with the 21st-century skill set critical to advancing their careers. 

Why choose the Financial Analysis MS at Fox?

The science, technology, engineering and math (STEM)-designated Financial Analysis MS is a multifaceted and quantitative program through which students can reimagine their career opportunities with Fox’s forward-looking curriculum. You’ll form expertise in corporate finance, investments, and investment banking financial modeling and decision-making. Expand your skills with integrated data science for finance courses in programming, time series analysis, data visualization and machine learning. 

Learning Outcomes

Deepen your understanding of industry trends, develop global market insights and enhance your professional skills, including 

  • equity research and value-based corporate management;
  • global markets and quantitative investment strategies;
  • leveraged buyouts and merger and acquisitions;
  • derivatives and alternative investments; 
  • portfolio management and behavioral finance;
  • data-driven decision-making and machine learning; and 
  • Bloomberg, Capital IQ, Factset, Tableau, Python, R and SQL.