Computer Science

Degree

Bachelor of Arts, Bachelor of Science, Major, Minor

As computational thinking and processes permeate our daily lives, computer science has the ability to revolutionize our understanding of the natural world, our industries, and even ourselves. A degree in Computer Science from Fairfield University provides both marketable skills and intellectual scope that can be applied to any career choice.

What You'll Learn and Do

Create solutions with a humanitarian focus

Through applying engineering design to the world around them, students learn to produce solutions that meet specified needs with a focus on public health, safety, and welfare.

Find opportunity through industry relations

Companies from a variety of domains, such as The Weather Company (visualization), Servo-Robot (artificial intelligence and user interface design), Federal Aviation Administration (software engineering and data mining), Saugatuck Energy (artificial intelligence) have an on-campus presence and provide computer science students opportunities to interact with industry leaders.

Learn 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.

Real world experience through hands on learning

A unique curriculum guarantees computer science students the equivalent of 20 months of real-world experience through a sophomore year service-learning initiative, a junior year entrepreneurial experience, and an industry-based senior capstone project.

Two students wearing suits walking and talking in front of a building on campus.

Internship Opportunities

With great emphasis on the practical application of learned skills, engineering students are given the knowledge and competence needed to thrive outside of the classroom and in the expanse of internship opportunities that awaits them prior to graduation.

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Course Requirements

Contact Us

Undergraduate Admission
admis@fairfield.edu
(203) 254-4100

Five-Year Dual-Degree BA/MS Program in Computer Science & Data Science

A five-year program is offered in data science at Fairfield's School of Engineering, leading to a bachelor of arts and master of science dual degree. This program embraces the educational objectives of the BA undergraduate program in computer science, as well as those of the graduate program in data science. It emphasizes experiential learning in terms of industrial internships following the sophomore year, and a final capstone project that guides students through a process of design and innovation at the level of a professional engineer. Graduates of the program master the knowledge and tools they need to create the next generation of data science solutions to ever more complex technological and societal problems.
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Career Outlook

Outcomes

  • NASA
  • Nasdaq
  • Lockneed Martin
  • General Electric
  • Abott

Job Fields

  • Artificial Intelligence
  • Software Development
  • Web Design
  • Information Security
  • Systems Engineering

“The connections with people on campus, faculty, and staff, board of trustee members, campus partners, and alumni have helped me grow as a person and truly understand the benefit of a Fairfield University education.” - Donna Ismail '24

Student Donna Ismail posing for photo.

Resources for Student Success

The University Career Center serves Fairfield University students with comprehensive career support services, programming and resources.

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Fairfield supports the scholarly success and intellectual growth of our students by providing various resources on campus including the Science Center, Writing Center, DiMenna-Nyselius Library, and more.

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Engineering Accreditation Commission

Fairfield University’s four-year Bachelor of Science program in electrical engineering is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org, under the General Criteria and the Electrical, Computer, Communications, Telecommunication(s) and Similarly Named Engineering Program Criteria.

Accreditation Information

Fall 2017 Enrollment:
31

2017 Graduates:
2

Fall 2018 Enrollment:
46

2018 Graduates:
11

Fall 2019 Enrollment:
77

2019 Graduates:
2

Fall 2020 Enrollment:
105

2020 Graduates:
6

Fall 2021 Enrollment:
103

2021 Graduates:
18

Fall 2022 Enrollment:
91

2022 Graduates:
22

Fall 2023 Enrollment:
87

2017 Graduates:
26

The Program Educational Objectives are broad statements that describe what alumni do within a few years following graduation. The electrical engineering program is committed to graduating engineers who within a few years of their graduation are expected to:

  • Apply their in-depth understanding in areas of electrical systems to solve problems in a modern technological society as productive engineers and/or enter and succeed in a graduate program.
  • Function effectively, both individually and within multidisciplinary teams.
  • Continue as lifelong learners to develop their engineering design abilities, problem-solving skills, and aptitude for innovation.
  • Practice professional ethics with social responsibility through service in the framework of a global technical community.

Student Learning Outcomes

Computer Science students will graduate from the program with the ability to perform and execute the following:

Analyze

Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.

Design & Develop

Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.

Communicate

Communicate effectively in a variety of professional contexts.

Recognize

Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.

Cooperate & Collaborate

Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.

Produce Solutions

Apply computer science theory and software development fundamentals to produce computing-based solutions.

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