M.S. in Financial Technology & Analytics and M.S. in Statistics Dual Degree Master's Program
Program Overview
M.S. in Financial Technology & Analytics and M.S. in Statistics Dual Degree
Master's Program
Program Details
Degree
Master of Science
School
School of Business
Department
School of Business Graduate Program
Available
On campus
Program Description
The Stevens School of Business and Athens University of Economics and Business (AUEB) offer a highly-coordinated dual degree program in Statistics and Financial Technology and Analytics, making you an expert in financial data analysis using technological tools and statistical methods. At the end of the program, you will receive a Master of Statistics from AUEB and a Master of Financial Technology & Analytics from the Stevens School of Business.
Program Structure
In the first year, you will enroll full-time at AUEB, taking courses within the MSc in Statistics program (60 ECT units). Then you will enroll full-time at the Stevens School of Business, taking courses within the MS in Financial Technology and Analytics program (at least 21 credits). You will receive a diploma from each school after completion (approximately 24 months).
Program Benefits
- Specialized Skillset: You'll possess a unique blend of skills in finance and technology, coupled with a strong statistical and analytical foundation.
- Versatility: Gain the ability to navigate the banking, investment, and insurance sectors with a deep understanding of how statistical data and technology influences financial markets and services.
- Innovation: Your expertise will contribute to developing new FinTech innovations that enhance the efficiency, security, and accessibility in financial services.
Careers
- Quantitative Analyst
- Data Scientist
- Financial Engineer
- Fintech Product Manager
- Algorithmic Trader
- Business Intelligence Analyst
Stevens Institute of Technology
Stevens Institute of Technology is a premier, private research university in Hoboken, New Jersey, overlooking the Manhattan skyline. Since its founding in 1870, technological innovation and entrepreneurship have been the hallmarks of Stevens’ education and research.
About the Stevens M.S. Financial Technology and Analytics Program
The Steven School of Business MS Financial Technology and Analytics degree covers a range of topics in financial technology and data science, including financial technology, blockchain technologies and decentralized finance, digital payment technologies and trends, applied statistics with applications in finance, introduction to financial risk management, and time series with applications to finance or advanced financial econometrics.
Program Concentrations
- Financial Data Science concentration: Focuses on Data Analysis and Machine Learning applications to Finance.
- Financial Technology concentration: Focuses on the newest emerging technologies.
Core Courses
- FA 541 Applied Statistics with Applications in Finance (3)
- FA 582 Foundations of Financial Data Science (2)
- FE 513 Practical Aspects of Database Design (1)
- FE 535 Introduction to Financial Risk Management (3)
- FA 590 Statistical Learning in Finance (3)
- FA 542 Time Series with Applications to Finance - 3 Credits
- FA 900 Master's Thesis in Financial Analytics - 3 Credits
Athens University of Economics and Business (AUEB)
The Athens University of Economics and Business (AUEB) is the premier Economics and Business University in Greece and the third oldest University in the country.
About the AUEB M.S. Statistics Program
AUEB's MSc Statistics degree covers Probability Theory, Statistical Inference, Applied Statistics, Computational Statistics and Theory and Applications of Stochastic Processes.
Courses
- Compulsory Courses (30 ECTS)
- Probability and Statistical Inference (7.5 ECTS)
- Computational Statistics (7.5 ECTS)
- Generalized Linear Models (7.5 ECTS)
- Data Analysis (7.5 ECTS)
- Cycle 1: Applied Statistics Courses (15 ECTS)
- Biostatistics (4 ECTS)
- Epidemic Models (4 ECTS)
- Advanced Methods in Survey Sampling (3.5 ECTS)
- Statistical Process Control (3.5 ECTS)
- Topics in Applied Statistics: Statistical Genetics - Bioinformatics (3.5 ECTS)
- Cycle 2: Computational Statistics Courses (15 ECTS)
- Bayesian Models in Statistics (4 ECTS)
- Statistical Learning (4 ECTS)
- Statistics for Big Data (3.5 ECTS)
- Advanced Stochastic Processes (3.5 ECTS)
- Topics in Computational Statistics - Applied Stochastic Modeling (3.5 ECTS)
- Cycle 3: Stochastics Courses (15 ECTS)
- Probability Theory (4 ECTS)
- Time Series Analysis (4 ECTS)
- Stochastic Modeling in Finance (3.5 ECTS)
- Financial Econometrics (3.5 ECTS)
- Topics in Stochastics - Stochastic Models in Operations Research (3.5 ECTS)
Master Thesis Course Details
Dissertation Thesis (30 ECTS)
The DT aims to give the opportunity to the student to develop and apply research methodologies in real data to topics of scientific interest related to the studies of the MSc program.
Financial Technology and Analytics: Facts & Figures
- 100% Employed 6 Months After Graduation
- $95,600 Average Salary
- $13,667 Average Signing Bonus
