Program Overview
Technology- Location: Fully online
- Length: 18 months
- Tuition: $16,740
- Website: https://www.wgu.edu/online-it-degrees/computer-science-masters-program/artificial-intelligence-machine-learning.html
The Master of Science in Computer Science with a specialization in AI and Machine Learning at Western Governors University is designed for professionals aiming to apply advanced computing techniques in real-world settings. The program is 100% online and follows a competency-based learning model, allowing students to progress at their own pace.
Learning Outcomes and Certifications
Graduates gain proficiency in AI development, ethical implementation, and the use of AI in real-world applications. Key skills include neural networks, model optimization, NLP model deployment, and secure software design. The program includes preparation for the AWS Certified Machine Learning – Specialty certification. Students typically report an average salary increase of over $13,000 within one year of graduation.
Admissions and Student Profile
Applicants must have a bachelor’s degree in computer science or complete a bridge program through WGU Academy if their degree is in another field. GRE and GMAT scores are not required.
The program is ideal for working professionals in tech roles who want to advance into AI-related positions. Students benefit from one-on-one mentorship, flexible learning, and no fixed class schedules.
Program Fit and Industry Application
The MML program is best suited for those specializing in artificial intelligence, machine learning, and applied computer science. It supports career paths such as AI engineer, ML architect, NLP specialist, and data scientist.
With strong alignment to AI governance, performance monitoring, and compliance practices, graduates are prepared to lead AI initiatives across industries.
Duration and Flexibility
Most students complete the program in about 18 months. The structure supports accelerated learning, so students with prior experience can finish more quickly by mastering content they already know.
Tuition and Cost
Tuition is $3,985 per six-month term. The total cost averages $16,740, depending on how quickly students complete the program. Financial aid and scholarships are available.
Curriculum and Certifications
The curriculum includes 10 courses covering topics such as deep learning, natural language processing, machine learning, system architecture, and governance.
Coursework includes:
Formal Languages Overview
Covers programming language theory, including semantics, type systems, and language design. Students compare language types, assess program correctness, and evaluate software reliability.
Computer Architecture and Systems
Explores the structure and evolution of computer systems, covering hardware-software integration and platform-specific design strategies to build functional, scalable systems.
Applied Algorithms and Reasoning
Focuses on designing and optimizing algorithms using computational thinking, with an emphasis on problem-solving, performance analysis, and system efficiency.
Unix and Linux
Introduces Unix/Linux environments with hands-on instruction in command-line navigation, file management, shell scripting, and system configuration for real-world applications.
Artificial Intelligence and Machine Learning Foundations
Covers core AI and ML concepts, including historical context, computational theory, ethical issues, and data preparation techniques that support deep learning and model accuracy.
Advanced AI for Computer Scientists
Prepares students to design complex AI systems using advanced techniques like meta-learning, ensemble models, and probabilistic reasoning, while emphasizing ethical evaluation.
Machine Learning for Computer Scientists
Teaches foundational machine learning methods, including supervised and unsupervised algorithms, model evaluation, and optimization, aligned with AWS Machine Learning certification.
Deep Learning
Explores neural network architectures, optimization techniques, and practical model implementation, with focus areas including CNNs, RNNs, and computational frameworks.
Natural Language Processing
Covers NLP tasks such as sentiment analysis and translation using RNNs, LSTMs, and transformers, with project-based work applying advanced ML to text data.
Governance, Risk, and Compliance
Teaches security alignment with regulatory frameworks through topics like data classification, compliance planning, and control audits in enterprise systems.
Students earn certifications like the AWS Machine Learning Specialist while completing the degree.
Learning Outcomes
Graduates gain technical expertise in AI model development, NLP, ethical AI practices, and secure systems design. They are prepared for roles like AI engineer, software developer, and machine learning architect.
Requirements and Admission
Applicants must have a bachelor’s degree. Those without a computer science background must complete WGU’s Foundations of Computer Science course before enrolling. No GRE or GMAT is required.
Who It’s For
This program is ideal for working professionals, career changers, and anyone looking to build high-demand AI skills. The flexible schedule supports learners with full-time jobs or family commitments.
Online Format and Support
All courses are offered online, with 24/7 access and support from program mentors and course instructors. Students also receive personalized learning resources and career guidance throughout their studies.