MS

Data Science

Format & Location

On-Campus (Fairfield, CT)

Data Science students sitting around talking.

Start Dates

Spring (January), Summer (May), Fall (September)

Application Deadline

Rolling Admission

Completion

12-24 months

Schedule

Full-Time or Part-Time

Attend A Virtual Information Session Check for Upcoming Dates

Fairfield's Master of Data Science Program (MSDS) allows students to build in-depth data science knowledge in specialized areas of concentration while equipping graduates with the advanced technical skills to analyze, interpret, and turn data into actionable insights.

$108,020

Median Salary
-U.S. Bureau of Labor Statistics

3%

Projected Job Growth Over the Next 10 years
-U.S. Bureau of Labor Statistics

#6

In Best Engineering Jobs
-U.S. News & World Report

What You'll Learn and Do

Choose the career path that is right for you

Career opportunities for MSDS graduates include commercial, financial, health, and manufacturing sectors, as well as for-profit and not-for-profit organizations.

Engineer with integrity and understand social responsibility

Recognize ethical and professional responsibilities in engineering situations and make informed judgments, which consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

Find opportunity through industry relations

Build meaningful relationships with engineering professionals throughout your time in the program. Industry partnerships and affiliations result in a high employment rate for Fairfield’s engineering graduates in all sectors of business, government, and academia.

Find Out More

Course Requirements

Contact Us

Graduate Admission
gradadmis@fairfield.edu
(203) 254-4184

Learn From Industry Experts 

Fairfield’s award-winning faculty have deep expertise in topics such as computational science and machine learning. Many are also contributors of the most respected publications in the industry. You’ll benefit from their firsthand insights and guidance on the way to your master’s degree in data science.

Mirco Speretta
Associate Dean, Computer Science and Engineering

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