What is DASE?
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. It incorporates
many fields of study to include mathematics, statistics, computer science, operations research,
industrial and systems engineering, and operations management. It 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.
Why Should I Consider a BI in Data Analytics and Systems Engineering?
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. DASE engineers focus on how to get the work done most efficiently,
balancing many factors—such as time, number of workers needed, available technology, actions
workers need to take, achieving the end product with no errors, workers’ safety, environmental
concerns, and cost.
To find ways to reduce waste and improve performance, DASE engineers use mathematical
methods and models to design manufacturing and information systems to meet those
requirements most efficiently.
The Bachelor of Innovation degree in Data Analytics and Systems Engineering requires students maintain at minimum a 2.0 grade point average and complete 128 credit hours. Students must complete an exit interview during their final semester in order to graduate.
DASE Core (27 credits)
Innovation Core (24 Credits)
Cross Discipline Core (15 Credits)
English (36 Credits)
Mathematics (21 Credits)
|MATH 1350- Calculus I||4|
|MATH 1360- Calculus II||4|
|MATH 2150- Discrete Math||3|
|MATH 2350- Calculus III||4|
|CS 2300- Computational Linear Algebra||3|
|DASE 3400- Mathematical Modeling, Optimization, & Differential Equations||3|
|ECE 3610- Engineering Probability and Statistics |
MATH 3810- Introduction to Probability & Statistics
Science Core- Students may substitute for chemistry or biology
|Student must complete (1) full year in the same subject and at least (1) lab.|
|PES 1110- General Physics I||4|
|PES 1120- General Physics II||4|
|PES 1160- General Physics Lab||1|
DASE Core- 27 Hours with an additional 10-12 engineering courses
|ENGR 3040- Engineering Ethics |
CS 3050- Social and Ethical Implications of Computing
| 3 |
|CS 1150- Principles of Computer Science||3|
|CS 1450- Data Structures and Algorithms||3|
|CS 2060- Programming with C||3|
|CS 4720- Design and Analysis of Algorithms||3|
|CS 4770- Data Visualization||3|
|CS 4435- Data Mining (Sr. Standing) |
CS 4860- Machine Learning
|CS 4800- Computer Graphics||3|
|DASE 4030- Intro to Systems Engineering (Sr. Standing)||3|
|DASE 4570/ Optimization |
|DASE 4910- Design of Experiments||3|
|MAE 3342- Engineering Economy (Jr. Standing)||3|
The Bachelor of Innovation in Data Analytics and Systems Engineering will provide students with both the technical and business background to work on innovative projects, including the ability to: (1) break down complex problems and apply logical and strategical processes towards solutions; (2) understand the technological, business, legal and societal constraints affecting this technology; and (3) have the ability to communicate the key issues, needs, potential options, and final solution to a problem.
DASE is a highly marketable, in demand degree that invokes the fields of engineering, math and computer science.
What might my college schedule look like?
The following sample plan represents the suggested order and semesters in which students should take course to graduate within four years. Since each student starts at a different level of mathematical ability, this listing should only be considered a guide. Specific questions about the sample program should be directed to the Engineering Adviser.