Data Analytics and Systems Engineering are combined in this Bachelor of Science degree. At first glance, these two fields may seem unrelated, but it turns out that they are closely related.
- Data Analytics describes how to analyze complex data to reach actionable conclusions.
- Systems Engineering describes how engineers conceive, design, integrate, and test complex systems.
The self-driving vehicle also represents a data analytics problem as the data from the sensors must be analyzed to, for example, detect hazards and navigate in differing weather, during the day and at night, and in urban and non-urban environments.
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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 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 the general combination track.
- Data Analytics – select 18 credit hours of your degree focused on data analytics, such as operations research, design and analysis of algorithms, data visualization, data mining, and machine learning.
- Systems Engineering - select 18 credit hours of your degree focused on systems engineering, 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.
Data Analytics and Systems Engineering 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.
Graduates may work in a variety of industries and 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
The curriculum includes mathematics through calculus III, computational linear algebra with differential equations and probability and statistics; a programming sequence, coursework in mechanical engineering, computer science, and electrical engineering, and specialized core analysis and systems engineering courses. Tracks will include additional courses in Data Analytics and/or Systems Engineering.