Majeed Simaan giving a presentation

Financial Analytics Master's Degree

Program Details


Master of Science


On Campus & Online


Office of Graduate Admissions1-888.511.1306[email protected]
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Today’s technology-intensive finance industry calls for analysts who bring statistical and programming skills to banks, hedge funds and wealth management offices.

At Stevens, financial analysts combine their programming skills with talents in data analysis and statistics to design innovative solutions to finance problems. Financial Analysts also use excellent business and communication skills to assess client needs and make recommendations to executive teams.

The Master’s in Financial Analytics teaches professionals to apply their physics, statistics or engineering skills to the lucrative finance industry. You’ll learn from faculty whose insights are changing how the industry is thinking about concepts like machine learning, data modeling and optimization in finance. You’ll take courses in one-of-a-kind financial labs, home to the data analysis and visualization tools used on Wall Street. 

The Financial Analytics program is structured around a core of courses covering data science, risk management and time series, and their applications in finance. The core concludes with a capstone consulting or research experience. You will customize your degree through a set of four electives, including the chance to pursue a structured specialization tailored to your career interests; a close relationship between you and your faculty advisor will help you select the right classes for your future. 

Students with backgrounds in finance, accounting or an equivalent discipline will have to take a rigorous course in probability as a prerequisite. Furthermore, for students with limited programming experience, one-credit lab courses in Python, R and other languages are available.

Core Courses

Core courses

Courses in this block go beyond important foundational concepts for financial analysts, immersing you in new programming languages, data sets and analytical technologies. 


There are endless career opportunities for professionals with the skills taught in this program. Four elective courses allow you to further explore a particular career path. Three popular tracks are outlined below.


A capstone experience is a requirement to ensure mastery of the diverse skills covered in the curriculum. Both courses offer the research-intensive perspective needed to help you think of innovative ways to approach emerging problems in this sector. Most students will take FA 800; FA 900 is a two-semester option for students looking to write a graduate thesis. Choose one of the below.

Ideal candidates for the Financial Analytics program will have a strong background in statistics, mathematics, physics, engineering or a related discipline, or will have several years' experience working in finance with an interest in exploring these disciplines in great depth. 

Application deadlines

Full-time applications to the Financial Analytics program are accepted in three distinct cycles. To be considered for admission, all materials must be submitted by the deadline.

Application cycle

Application deadline

Application decision

Acceptance deadline


Oct. 15

Dec. 1

Jan. 15


Jan. 15

March 1

Included in admission offer


April 15

May 1

June 1

Part-time applications to this program are accepted on a rolling basis.

Stevens by the Numbers

9th in nation
Best Career Placement, Princeton Review, 2021.
Students score top internships.
$78,000 Salary
Average starting salary for SSB graduate, 2020