Data Science, Bachelor of Science

The Bachelor of Science in Data Science (BSDS) is interdisciplinary and requires the effective integration of three components to produce meaningful results. The three components include 1) the domain that provides the data, 2) statistics for analysis, modeling, and inference, and 3) computer science for data access, management, protection, as well as effective processing in modern computer architectures. This degree prepares graduates for a myriad of opportunities to work in and advance their data science careers.

Program Outcomes

The Bachelor of Science in Data Science will prepare students to:

Apply fundamental principles and practices of data science (Data Science Principles and Practices)

Integrate foundational knowledge of all areas of data science (General Data Science Knowledge).

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 (180 Credits)

Lower – Division Requirements (90 Credits)

Students must meet General Education requirements listed below. This is typically completed within the 90 required lower division credits. See the General Education Requirements section of this catalog for more detailed information.

For this program Quantitative/Symbolic Reasoning is met through the course CS 251 Statistical Computing or an equivalent course.

General Education Requirements	Total Credits
College Composition II (CCII)	5 Credits
Quantitative/Symbolic Reasoning (CM/QSR)	5 Credits
Humanities (HU)	15 Credits
Social Sciences (SS)	15 Credits
Natural Sciences (NS)	15 Credits

Pre-Entry Requirement (0 Credit)

Students must take this course in the first quarter of enrollment. Students may take another program requirement concurrently.

CS 100

STC BS Orientation to Bachelor's Programs

Preparatory Courses (15 Credits)

These preparatory courses may be applied towards CityU's General Education and Lower Division credit requirements.

CS 132	Computer Science I	5
CS 251	Statistical Computing (QSR for select programs OR NS)	5
IS 201	Fundamentals of Computing	5

Core Requirements (45 Credits)

CS 302	Human Computer Interaction	5
CS 330	Network Communications	5
CS 351	Discrete Mathematics in Computing (NS)	5
IS 312	Web Design	5
IS 340	Operating Systems	5
IS 345	Cybersecurity	5
IS 350	Systems Analysis and Design	5
IS 360	Database Technologies	5
IS 471	Cyber Ethics (SS)	5

Depth of Study: Data Science (30 Credits)

CS 469	Data Structures and Algorithms in Computing	5
CS 475	Artificial Intelligence	5
CS 476	Data Analysis and Presentation	5
CS 479	Data Mining and Machine Learning	5
CS 483	Mathematics for Machine Learning	5
CS 484	Big Data Systems	5