Master of Science in Financial Analytics (MFA)

The Master of Science in Financial Analytics program is designed for science, technology, engineering, and math (STEM) students who are pursuing careers in the financial industry. The program focuses on recent development in financial data science from fundamental data processing to machine learning, statistical modeling, and fintech. Program graduates are expected to be able to handle complex financial data, build advanced analytical models, deliver effective visualization product, and utilize cloud-based data-driven analytics technology. 

The FA Masters' degree may be completed by taking the core courses and any 12 credits of elective courses. Alternately, students may choose the elective courses in one of the three possible concentrations detailed next. 

Financial Analytics Curriculum

Required Core Courses

FE 541Applied Statistics with Applications in Finance

3

FE 582Foundations of Financial Data Science

2

FE 513Financial Lab: Practical Aspects of Database Design

1

FE 535Introduction to Financial Risk Management

3

FE 590Statistical Learning

3

FE 542Time Series with Applications to Finance

3

FA 800Project in Financial Analytics

1-6

Electives

Students are required to complete 12 credits of elective courses. The elective courses may be any of the FA/FE course offerings or any course at Stevens with advisor approval. Students may also choose to use their elective courses to pursue one of the three specific tracks (concentrations) detailed below.
 

Advanced Risk Analytics Concentration

Advanced Risk Analytics Concentration Requirements

Students who pursue the Advanced Risk Analytics concentration are required to complete the following courses. The General Elective course is to be decided with the Advisor's help. 

FE 635Financial Enterprise Risk Engineering

3

FE 655Systemic Risk and Financial Regulation

3

FA 636Advanced Risk Analytics

3

General Elective

3

Data Science and Optimization Concentration

Data Science and Optimization Concentration Requirements

Students who pursue the Data Science and Optimization concentration are required to complete the following courses. "Or" indicates a choice between respective courses.

FE 550Data Visualization Application

3

FA 631Investment, Portfolio Construction, and Trading Analytics

3

FE 646Optimization Models and Methods in Finance

3

Or

MA 575Optimization Models in Quantitative Finance

3

MA 630Advanced Optimization Methods

3

Or

MA 661Dynamic Programming and Reinforcement Learning

3

Or

MA 662Stochastic Programming

3

FINTECH and Machine Learning Concentration

FINTECH and Machine Learning Requirements List

Students who pursue the FINTECH and Machine Learning concentration are required to complete the following courses. The General Elective course is to be decided with the Advisor's help. 

FE 550Data Visualization Application

3

FE 595Financial Technology

3

FE 690Machine Learning in Finance

3

General Elective

3