MSCSAIML · Current · 31 CUs

Master of Science, Computer Science, Artificial Intelligence and Machine Learning

Source: WGU Program Guide·v202504·2/26/2025

About This Degree

WGU Catalog 2026-03
The Master of Science, Computer Science, Artificial Intelligence and Machine Learning program prepares students to meet evolving business needs by applying advanced artificial intelligence, machine learning, and data science methodologies to solve complex, real-world challenges. Students will develop expertise in AI algorithms, deep learning, and natural language processing (NLP) to create innovative solutions for diverse industries. In addition to designing scalable systems and implementing secure software development practices, students will focus on business applications, optimizing AI technologies to drive decision-making and operational efficiency. Graduates will be equipped with strong technical communication skills and ethical AI development practices, enabling them to lead interdisciplinary teams and deliver impactful solutions that align with business objectives.

Official catalog text — WGU-authored.

Degree History

First offered2025-02StatusCurrentCUs31

Program Learning Outcomes

WGU Catalog 2026-03

Official WGU-authored outcomes from the catalog Program Outcomes section.

  • •The graduate applies AI and machine learning concepts to solve complex problems using logic and advanced programming techniques.
  • •The graduate develops advanced operating system components, scalable computer systems, and architectures for efficient performance and resource utilization.
  • •The graduate evaluates vulnerabilities, protective measures for computing systems and data, compliance with privacy standards, and the syntax and semantics of programming languages.

Areas of Study

2 groups · 10 courses

Course groups from the WGU Program Guide. Expand each group to see course descriptions and competencies.

Course Roster (10 courses)

WGU Catalog 2026-03

Term 1

CodeTitleCUs
D793Formal Languages Overview3
D794Computer Architecture and Systems3
D795Applied Algorithms and Reasoning3

Term 2

CodeTitleCUs
D796Unix and Linux3
D797Artificial Intelligence and Machine Learning Foundations3
D486Governance, Risk, and Compliance2

Term 3

CodeTitleCUs
D801Machine Learning for Computer Scientists4
D802Deep Learning3
D803Natural Language Processing3

Term 4

CodeTitleCUs
D804Advanced AI for Computer Scientists4

Total: 31 CUs across 10 courses. Degree total per catalog: 31 CUs.