Data Analytics and Systems Engineering, BS

General Information

The Bachelor of Science (BS) degree in Data Analytics and Systems Engineering (DASE) requires the following:

• A minimum of 128 hours must be completed with a cumulative CU GPA of 2.0.
• Completion of an Exit Interview during the final semester before graduation.

Additional course work is required to complete the Data Analytics and Systems Engineering, BS degree. Please see the advising guide on the Academic Advising website for more information and a sample 4-year schedule.

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 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 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 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.

Objectives

The educational objectives of the Bachelor of Science degree program in DASE 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.