Data Analytics and Systems Engineering, BS

Learning Outcomes

The College of Engineering and Applied Science has established the following educational outcomes for the Bachelor of Science degree in Data Analytics and Systems Engineering (DASE).

By the time of graduation, students are expected to demonstrate:

• An ability to apply knowledge of mathematics, science, and engineering
• An ability to design and implement algorithms to analyze large data sets and interpret results
• An ability to understand the systems engineering life-cycle process, and systems architecture and its relationship to system design
• An ability to function on multi-disciplinary teams
• An ability to identify, formulate, and solve engineering problems
• An understanding of professional and ethical responsibility
• An ability to communicate effectively
• The acquisition of the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and social context
• A recognition of the need for, and an ability to engage in, lifelong learning
• A knowledge of contemporary issues
• An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice

Objectives

The educational objectives of the Bachelor of Science degree program in Data Analytics and Systems Engineering are statements that describe the accomplishments of graduates 3-5 years post graduation:

1. Illuminate-lifelong learning in Data Analytics and Systems Engineering. Alumni are expected to learn new engineering technologies as needed and pursue graduate school to technology careers, including but not limited to technical development, project management, and technical sales.
2. Investigate-demonstration of Data Analytics and Systems Engineering principles. Alumni should have the ability to find and access information relevant to an application under development and have the ability to understand and approach various engineering problems and convert them into engineering products.
3. Innovate-creative application of Data Analytics and Systems Engineering principles. Alumni should be able to apply the theory and techniques of Data Analytics and Systems Engineering to innovate real-world solutions.