About
Bachelor of Science in Data Analytics and Systems Engineering
Data Analytics and Systems Engineering (DASE) is an interdisciplinary field about processes and large systems to extract knowledge or insights from data in various forms.
- Incorporates many fields of study to include mathematics, statistics, computer science, operations research, industrial and systems engineering, and operations management.
- Employs techniques such as data visualization, data mining, and predictive analysis to help aid decision-making. Data and systems engineering is concerned with the design, improvement and installation of integrated systems of people, materials, data, information, equipment and energy.
- Draws upon specialized knowledge and skill in the mathematical, physical, and social sciences together with the principles and methods of engineering analysis and design, to specify, predict, and evaluate the results to be obtained from such systems.
Real World Case
Consider a self-driving vehicle. The vehicle itself represents a systems engineering challenge as sensors are integrated with the objective of operating safely and efficiently.
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.
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.
Have you ever wondered:
• Can computers perceive the environment? How could terrestrial and airborne robots perceive the environment and interact with humans to accomplish difficult and chaotic tasks like combatting a wildfire?
• Can a social robot interact with a child to diagnose and treat autism or other learning disorders?
• How does a space vehicle company meet hundreds of requirements such as range, payload, and maintainability? It is not luck – learn how companies manage the development of technology to engineer complex systems
• What is “big data” and what is it used for?
• How can statistics and probability be applied to problems that do not have a clear answer?
• What is “risk?” Can we manage risk? If so, how?
The Bachelor of Science in Data Analytics and Systems Engineering will prepare you to answer these questions and engineer systems that satisfy user needs. Create systems and solve difficult problems.
• Can a social robot interact with a child to diagnose and treat autism or other learning disorders?
• How does a space vehicle company meet hundreds of requirements such as range, payload, and maintainability? It is not luck – learn how companies manage the development of technology to engineer complex systems
• What is “big data” and what is it used for?
• How can statistics and probability be applied to problems that do not have a clear answer?
• What is “risk?” Can we manage risk? If so, how?
The Bachelor of Science in Data Analytics and Systems Engineering will prepare you to answer these questions and engineer systems that satisfy user needs. Create systems and solve difficult problems.