Master's Degree in Computational and Quantitative Methods

Degree: Master of Science
Major: Computational and Quantitative Methods
Hours: 30

Delivery Options:

Degree Description

The ��Ƶ University Master of Science Degree in Computational and Quantitative Methods is for anyone interested in using mathematical tools in data analysis, with applications in mathematics, statistics, finance, computer science or accounting courses. Mathematics and statistics professionals who are products of of CMQM are trained to work in several areas that involve the use of modern tools and technologies for analyzing large and high dimensional data, generating possible trends and using outcomes to make complex and informed decisions.

Applicants need to have a cumulative GPA of 2.5 (on a four-point scale). GRE scores are optional. International applicants must have an English proficiency score.

Why Study Computational and Quantitative Methods at ��Ƶ?

There is a high demand for data science/data analysis professionals in several industries such as technology, public health, business, insurance, banking, education and environment. There will always be an increasing local, national and global demand for mathematics and statistics occupation graduates.

��Ƶ University has a vibrant campus community. Our mathematics faculty are engaged in current research, and strive to engage our students in project-based learning. Students entering this program can expect direct contact with talented faculty who are interested in extending their students' knowledge. Students who graduate from the Master of Science Degree in Computational and Quantitative Methods program will be well placed to work in a variety of careers in emerging fields.

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Endowed Scholarships

Career Paths

The study of the market reveals an increasing national and global demand for mathematics and statistics related professionals. According to the Occupational Outlook Handbook, general employment in mathematics occupations is projected to increase 29% from 2021 to 2031, significantly faster than the average for all occupations; this increase is expected to produce approximately 82,000 new jobs over the decade. The study also projects the following growth rates: 36% for data scientists, 31% for mathematicians and statisticians, 23% for operation research analyst, 21% for actuaries, and 9% for financial analyst (Bureau of Labor Statistics, 2022).