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Headquartered in the Rudolph F. Bannow Science Center, the current Ïã¸ÛÁùºÏ²Ê¹ÒÅÆ School of Engineering & Computing is a continuation of the Bridgeport Engineering Institute (BEI), after a merger in 1994 resulted in the formation of the BEI School of Engineering at Ïã¸ÛÁùºÏ²Ê¹ÒÅÆ. BEI was founded in 1924 with a mission to deliver quality engineering education to the citizens of southern Connecticut.

The School of Engineering & Computing at Ïã¸ÛÁùºÏ²Ê¹ÒÅÆhas grown from two original electrical and mechanical engineering programs in 1994 to now include undergraduate programs in biomedical engineering, computer science, electrical engineering, and mechanical engineering. A selection of five-year BS/MS programs are available, including an MS in Management of Technology. Graduate programs are offered in data science, cybersecurity, electrical and computer engineering, management of technology, mechanical engineering, and software engineering.

Continuing to adapt to an ever-changing world, the School of Engineering & Computing also offers a Software Engineering Certificate Program with specializations in cybersecurity, data science and big data technologies, network technology, and web and mobile application development.

Vision

The School of Engineering & Computing will be a recognized leader in modern, experiential-based engineering education and will be known for innovative, applied research that, together, fosters a student-centered and research-focused educational experience that prepares graduates for successful and rewarding careers in service to others.

Mission

The School of Engineering & Computing is dedicated to:

1. Providing transformative educational experiences that prepare our graduates for successful careers;
2. Advancing engineering knowledge through applied research;
3. Supporting the University’s mission of whole-person development (cura personalis) by inculcating into our students the service-to-humanity character of the engineering profession.

Purpose

We believe a strong, experientially based curriculum, supported by faculty with an applied research focus will lead to:

• Enhanced academic reputation.
• Increased scholarship (i.e., scholarship of application; scholarship of teaching and learning).
• Students, imbued with the service-to-humanity character of the engineering profession, are prepared to meet the future challenges of a rapidly evolving, technology-based society.

Values

“Our Ethics in Action”
Excellence in all we do
Engagement at every level
Innovation across all disciplines
Character as a Foundation of Leadership
Diversity and Inclusion in all things
Service to Humanity as a lifelong goal

The School of Engineering & Computing (SEC) has established both qualitative and quantitative instruments to assess outcomes of educational processes implemented in the School in support of the educational objectives of its undergraduate and graduate programs. Data on outcomes is collected continuously and evaluated to guide program improvements.

SEC undergraduate programs have seven documented student outcomes that prepare graduates to attain the program’s educational objectives. The seven student outcomes are:

• an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
• an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
• an ability to communicate effectively with a range of audiences.
• an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
• an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
• an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.