Advancement of Computing - Data Science, Undergraduate Certificate
The Undergraduate Certificate in the Advancement of Computing - Data Science (AdvComputing-DS) is designed for individuals seeking to develop marketable skills grounded in Data Science principles. Upon successful completion of the certificate, students will have gained a mastery of advanced skills to build a career in the area of Data Science.
Program Outcomes
Integrate a foundational knowledge of all areas of data science (General Computing Knowledge).
Apply fundamental principles and practices of data science (Data Science Principles and Practices).
Apply critical and ethical thinking to solve problems in data science (Critical and Ethical Thinking).
Evaluate data to inform decisions and solve problems in data science (Quantitative Literacy).
Create the ability to develop and express ideas, while applying a variety of delivery models, genres, and styles (Communication).
Collaborate effectively on diverse teams to accomplish a common goal (Collaboration).
Admission Requirements
City University of Seattle's undergraduate admission requirements, found under Admissions in the catalog menu, apply to this program.
Total Required Credits (30 Credits)
Required Courses
| CS 476 | Data Analysis and Presentation | 5 |
| CS 469 | Data Structures and Algorithms in Computing | 5 |
| CS 475 | Artificial Intelligence | 5 |
| CS 483 | Mathematics for Machine Learning | 5 |
| CS 479 | Data Mining and Machine Learning | 5 |
| CS 484 | Big Data Systems | 5 |