M.S. in AI and Machine Learning
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The Master’s Degree in Artificial Intelligence (AI) and Machine Learning provides students with the core knowledge necessary to succeed in the fields of AI, machine learning, computer science, and software development. Learn how applying optimal system analysis and design can solve complex organization-wide issues. Some typical responsibilities of roles in this industry include:
This program is geared toward students who already possess technical acumen, and who see AI and machine learning as an exciting, innovative career path. Additional learning outcomes of this graduate program include:
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How Online Education Works for You
The online Master’s Degree in Artificial Intelligence and Machine Learning provides students with the knowledge required to thrive in roles that include programming, software development, artificial intelligence, and machine learning tasks. The curriculum will address the latest deep-learning libraries, such as Tensorflow, with a focus on proficiency in Python, as well as how these technologies can be applied in a variety of industries, including healthcare, manufacturing, oil/gas, and automotive.
Please note: We recommend that students who choose this specialization have prior experience in discrete mathematics, and have taken an advanced course in probability and statistics.
When you earn your master's degree through CSU Global, you will customize it with a graduate specialization in a subject that matches your professional goals or personal interests.
CSU Global’s accredited online Master’s Degree in AI and Machine Learning is designed to provide you with a practical knowledge of the field. The program consists of 30 credit core courses as part of a full 36-credit master’s degree.
CSC500 Principles of Programming
CSC501 Management for the Computer Science Professional
CSC502 Ethical Leadership in Software Development
CSC505 Principles of Software Development
CSC506 Design and Analysis of Algorithms
CSC507 Foundations of Operating Systems
CSC510 Foundations of Artificial Intelligence
CSC515 Foundations of Computer Vision
CSC525 Principles of Machine Learning
CSC580 Applying Machine Learning and Neural Networks - Capstone
Note: Some Master of Science in Artificial Intelligence and Machine Learning students may also be required to take RES500 as part of their program if they have an undergraduate GPA below 3.00. In this case, the degree is 33 credits.
PrerequisitesStudents applying for this degree must have taken an advanced course in Discrete Mathematics, and an advanced course in Probability and Statistics. Students who do not meet this requirement can seek admission with the program chair approval. Students admitted with approval from the program chair who did not meet the requirements will be required to take one or both of the following CSU Global pre-requisite course work or equivalent:
To meet pre-requisite requirements for admission, students must complete the above coursework within 12 months of starting and maintain a 3.0 grade point average. Students should reference the provisional admissions policy in the university catalog for additional admission requirements.