Master of Science in Computer Science with a Specialization in Data Science

Print Degree Planner (opens a new window) |

Degree Requirements

Minimum requirements for the degree are 48 graduate credits. A maximum of 12 credits taken in non-matriculated status may be applied to this program. Students may be allowed up to 10 transfer credits as described earlier in this Catalog but at least 36 graduate credits must completed at Seattle University. All degree requirements must be completed within six years after course work has begun.

I. Preparatory Courses

6 preparatory courses required*, including:

NOTE:

*Students may be waived from one or more of these preparatory courses if they have prior equivalent coursework.

II. Required Courses

22 credits, including:

CPSC 5200 - Software Architecture and Design (5 credits)
CPSC 5800 - Ethics and Professional Issues in Computing (2 credits)

Applied algorithms course:

CPSC 5610 - Artificial Intelligence (5 credits)

Systems course:

CPSC 5520 - Distributed Systems (5 credits)

Choose one of the following five software development courses (5 credits):

III. Data Science Specialization Courses

26 credits, including:

MATH 5315 - Mathematical Foundations of Data Science (3 credits)
CPSC 5305 - Introduction to Data Science (2 credits)
CPSC 5310 - Machine Learning (5 credits)
CPSC 5320 - Visual Analytics (3 credits)
CPSC 5330 - Big Data Analytics (3 credits)

Choose one of the following three data science electives (5 credits):

Capstone project (5 credits):

CPSC 5830 - Data Science Capstone Project

NOTES:

Students with previous comparable course work can waive MATH 5315 and reduce the overall required credits for the degree.
Satisfactory performance (B- or better) in CPSC 5830 is required.
With departmental approval, a graduate research project (CPSC 5990) consisting of at least 5 credits on a topic related to data science can be used in lieu of a data science elective.