¼â½ÐÊÓƵ

MS

Data Science

Format & Location

On-Campus (¼â½ÐÊÓƵ, CT)

A professor in a suit and tie addresses a group of attentive students in a classroom setting.

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

¼â½ÐÊÓƵ'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.

By the Numbers

$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

Career-Focused Data Science Education

The MS in Data Science at ¼â½ÐÊÓƵ University equips students for roles across various sectors, including healthcare, finance, and manufacturing. With hands-on exposure to software development and data analysis tools, the program provides practical skills essential for career advancement.

Industry Connections and Opportunities

Students benefit from partnerships with engineering and data science professionals, creating valuable networking opportunities. These connections contribute to a high employment rate for graduates in sectors like business, government, and nonprofit organizations.

Ethical and Social Responsibility in Data Science

The program emphasizes ethical decision-making and understanding the societal impact of data science solutions. Students learn to consider global, economic, and environmental factors while making informed professional judgments.

Interdisciplinary Learning and Research

Combining data science techniques with domain-specific knowledge, the MSDS program encourages students from diverse backgrounds to innovate in their fields. The curriculum includes core courses, specialization electives, and a capstone project, fostering a comprehensive understanding of data science applications.

Find Out More

Course Requirements

30 credits

Contact Us

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


Learn From Industry Experts 

¼â½ÐÊÓƵ’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.

VIEW ALL FACULTY

Mirco Speretta
Associate Dean, Computer Science and Engineering

Admission Information

From your first admission conversation to graduation and beyond, you’ll find support at every turn. The ¼â½ÐÊÓƵ University student support network is dedicated to meeting your needs. You’ll receive personal, academic, and financial guidance as you complete your master’s in data science.

Admission Requirements

Tuition & Costs

Financial Aid

 

Ask a Student

Chat with ¼â½ÐÊÓƵ University’s student ambassadors to learn more about the School of Engineering and Computing programs, hear about their experiences, and get answers to your questions.

Frequently Asked Questions

Applications are accepted on a rolling basis. Applications are reviewed by the Graduate Admission Committee.

The GREs are not required. We do look closely at your academic record and other application materials. Generally, we like to see that you have at least a 3.0 cumulative GPA. If your GPA is lower than 3.0 but you would like us to consider your application, you may include with your application a statement that explains your GPA and why you are confident you will be able to maintain the required 3.0 GPA in your graduate studies.

Tuition and fees for ¼â½ÐÊÓƵ's graduate programs.

Our programs are designed to accommodate students who want to attend either on a full-time or part-time basis. Students who are fully employed will find the scheduling of our courses compatible with their work requirements.

Most of our courses are offered in the evening. Weekday courses generally meet once a week for two and a half hours.

We keep our classes small. The typical maximum class size is 20, but class sizes range from less than 12 to 20.

Our students come from a variety of undergraduate backgrounds, which adds to the richness of our interactions in class. An undergraduate degree specifically in engineering is not required, but exposure to technology through employment is useful.

For students who attend part-time, the time will vary based on how many courses are taken at a time. Students who attend full-time take 9 credits each semester and can complete the program in three semesters. All students are required to complete their degree within 6 years after they begin their first course.

To be considered for financial aid, ¼â½ÐÊÓƵ University requires students to complete a FAFSA form. For further information on financial aid, visit the Office of Financial Aid.

A limited number of part-time assistantships are available to assist promising and deserving students.

Request Program Info

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