Data Analytics and Systems Engineering, BS

Data Analytics and Systems Engineering (DASE) is the perfect career for people who like to solve practical problems in a variety of working environments and develop systems to improve quality and productivity. This unique Bachelor of Science degree integrates both data analytics and systems engineering into a single program.

• Data Analytics describes how to analyze complex data to reach actionable conclusions.
• Systems Engineering describes how engineers conceive, design, integrate, and test complex systems.

At first glance, these two fields may seem unrelated, but it turns out that they are in fact closely related.

Consider a self-driving vehicle. The vehicle itself represents a systems engineering challenge, as sensors are integrated to allow the vehicle to operate safely and efficiently.
However, the self-driving vehicle also represents a data analytics problem as the data from the sensors must be analyzed to detect hazards and navigate in differing weather, during the day and at night, and in urban and non-urban environments. So, in reality, the two topics are tightly combined in the operation of this important engineering system, and as it turns out, in a myriad of other real-world applications. 

Graduates of this degree find work in a variety of industries that have job titles such as:

• Data analyst, data scientist, business intelligence analyst, data engineer
• Systems engineer, integration engineer, operations engineer, development engineer, dev ops engineer
   

This program develops and uses complex systems by employing data analytics and systems engineering tools and techniques.  A variety of systems will be used in the program, such as quadrotor drones and robots, including the NAO social robot.

The DASE curriculum is quite flexible; if your interest leans more toward Data Analytics (or Systems Engineering), you can orient your course of study to reflect your interests by selecting a single track or pursue the general combination track.

• Data Analytics – Select 18 credit hours focused on data analytics; courses cover topics such as operations research, design and analysis of algorithms, data visualization, data mining, and machine learning.
• Systems Engineering - Select 18 credit hours focused on systems engineering; courses cover topics such as systems engineering, optimization, project design, mechanical systems, and electronics.
• General – Select 9 credit hours each of data analytics and systems engineering to include topics and courses from both areas equally.

For details on degree requirements and program coursework, please visit the Academic Catalog.

• For an Independent Study Form, see the ECE Student Resources page.
• For further information, contact Academic Advising.

To learn more about admission requirements and the application process, please visit the UCCS Admissions page.

Additional resources for Admissions:

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