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 MATH 141 Precalculus or an equivalent course. 

General Education Requirements

Total Credits

College Composition I** & II (CCII)

10 Credits

Quantitative/Symbolic Reasoning (QSR)

5 Credits

Humanities (HU)

10 Credits

Social Sciences (SS)

15 Credits

Natural Sciences (NS)

15 Credits

** If College Composition I is waived through transfer or articulation, students must take an additional 5 quarter credits from a humanities discipline.

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 330Network Communications

5

CS 340Operating Systems

5

CS 351Discrete Mathematics in Computing (NS)

5

IS 302Human Computer Interaction

5

IS 312Web Design and Programming

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)

Select 30 credits from the courses listed below.

CS 469Data Structures and Algorithms in Computing

5

CS 475Artificial Intelligence

5

DS 410Programming in Data Analytics

5

DS 476Data Analysis and Presentation

5

DS 479Data Mining and Machine Learning

5

DS 483Mathematics and Statistics for Machine Learning (NS)

5

DS 484Big Data Systems

5

Electives (10 credits)

Students may select two electives from any other undergraduate Depth of Study courses within the School of Technology & Computing or complete the internship after taking three CS 450 seminar courses for their internship preparation.

Seminar

Students can take three CS 450 seminar courses after taking 15 credit hours for core requirements and before taking either CS 493 Technology and Computing Internship 3 or CS 497 Technology and Computing Capstone. Each enrollment must be preapproved by the Program Manager.

CS 450ABachelor's Seminar I in Special Technology *

2

CS 450BBachelor's Seminar II in Special Technology *

2

CS 450CBachelor's Seminar III in Special Technology *

1

Internship

This course is repeatable for credit. Each enrollment must be pre-approved by the Program Manager.

CS 493Technology and Computing Internship *

5

Capstone (5 Credits)

CS 497Technology and Computing Capstone *

5