2021-2022 Catalog

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 100STC BS Orientation to Bachelor's Programs

0

Preparatory Courses (15 Credits)

These preparatory courses may be applied towards CityU's General Education and Lower Division credit requirements.
CS 132Computer Science I

5

CS 251Statistical Computing (QSR for select programs OR NS)

5

IS 201Fundamentals of Computing

5

Core Requirements (45 Credits)

CS 302Human Computer Interaction

5

CS 330Network Communications

5

CS 351Discrete Mathematics in Computing (NS)

5

IS 312Web Design

5

IS 340Operating Systems

5

IS 345Cybersecurity

5

IS 350Systems Analysis and Design

5

IS 360Database Technologies

5

IS 471Cyber Ethics (SS)

5

Depth of Study: Data Science (30 Credits)

CS 469Data Structures and Algorithms in Computing

5

CS 475Artificial Intelligence

5

CS 476Data Analysis and Presentation

5

CS 479Data Mining and Machine Learning

5

CS 483Mathematics for Machine Learning

5

CS 484Big Data Systems

5

Choice (10 credits)

Information Systems

IS 456Database Systems Management

5

IS 457Enterprise Systems

5

Information Technology

IS 470IT Service Management

5

IS 472IT Compliance

5

Cybersecurity

CS 481Network Security

5

CS 487Data Security

5

Data Science

IS 410Programming in Data Analytics

5

Internship

The internship course is repeatable.

CS 493Technology and Computing Internship

5

Capstone (5 Credits)

CS 497Technology and Computing Capstone

5