Financial Analytics


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. 

Curriculum Overview

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.

In addition to the two courses above, choose one of the below.

And select one of the following three options.

Admission criteria

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.

Admission criteria

Admission to the Financial Analytics master’s program is competitive. To be considered for this program, your application must include the following.

Experience recommended

You may apply to the Financial Analytics program without any work experience, but students without work experience will need excellent academic credentials from their undergraduate work, with a degree in statistics, mathematics, physics, engineering, or another math or science discipline. 

For finance professionals interested in working in an analyst capacity, work experience is preferred. To keep up with the technical nature of coursework, computer science and statistics skills also are required. 

A list of general Stevens admissions criteria is available at the Office of Graduate Academics.