Online Specialization in Artificial Intelligence and Machine Learning

Lead the next generation of computing through cutting-edge technology.

Learn how to solve complex business problems with innovative technical solutions by earning a graduate degree specialization that covers programming, artificial intelligence (AI), computer vision, and machine learning. Take your career further, open doors for career advancement, and find your perfect professional fit in the industry that you’re passionate about.

In this specialization, you will:

Analyze and associate AI principles into reasoning and uncertainty in a perceptive environment
Apply techniques for image analysis and deconstruction
Implement holistic AI and machine-learning solutions for a given problem or scenario

Students applying for this specialization must first undergo a review by the program chair and have taken both an advanced course in Discrete Mathematics and an advanced course in Probability and Statistics or equivalent. Students who do not meet this requirement are not admissible into the specialization. Students may seek to earn pre-requisite coursework as a non-degree seeking student with CSU Global. CSU Global pre-requisite coursework is:

MTH350 Discrete Mathematics
MTH410 Quantitative Business Analysis

Courses in this Specialization

This program consists of four graduate online informational technology courses for a total of 12 credit hours.

*Please click on a course title below to view description

CSC505 - Principles of Software Development

Course Description

This graduate course provides students with an integrated and detailed approach to programming and software development principles. Students will understand the purpose of object-oriented software topics and pertinent software development principles. Topics included for this course focus on core programming concepts, data structures, methods, classes, and software models.

Credit Hours: 3

CSC506 - Design and Analysis of Algorithms

Course Description

This graduate course provides students with a foundational knowledge in the design and analysis of algorithms. Students will make use of appropriate data structures. Complexity and analysis of algorithms will be completed focusing on worst case and average case, lower bounds, NP-completeness, and recurrences. Students will explore the complexity of appropriate searching, sorting, and graphing algorithms. Prerequisite: CSC505 Principles of Software Development

Credit Hours: 3

CSC510 - Foundations of Artificial Intelligence

Course Description

This graduate course provides students with an understanding of principles associated with Artificial Intelligence (AI). Students will determine how to utilize structures to represent graphs associated in data exploration. Students will gain an understanding of how to efficiently apply knowledge representation and techniques associated with AI reasoning. Topics that students will explore include techniques efficiently applying game theory, integer programming, continuous optimization, and probability analysis.

Credit Hours: 3

CSC525 - Principles of Machine Learning

Course Description

This Graduate course provides students with an understanding of foundations concepts and theories in machine learning. Students will explore foundational topics that include: supervised and unsupervised learning, learning theory, reinforcement learning and adaptive control. Students will gain an understanding of applications of machine learning in areas of data mining, human computer interaction, natural language processing and computer vision. Prerequisite: CSC510 Artificial Intelligence

Credit Hours: 3

Corresponding Master Degree Programs

A specialization in AI and Machine Learning pairs well with the following:

Business Administration

Information Technology Management

Project Management

Why You Should Consider a Graduate Specialization

Customize your master’s degree with a specialization that fits your professional aspirations and personal ambitions. Just add additional, upper-division courses to your degree program, and gain skills in a related subject that complements your degree. Much like a minor, or degree concentration, a graduate specialization allows you the opportunity to examine an additional area of interest. Add a specialization to your master’s degree to showcase career-specific skills that meet your professional goals.

Flexible

With no set times or locations, you can complete your coursework around your schedule.

Monthly Class Starts

CSU Global classes start every month, which means you can begin earning your degree when you’re ready.

Accelerated Courses

Every CSU Global course is just 8 weeks from beginning to end, so you can move forward faster.

Want To Know More?

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Degree Specialization in Artificial Intelligence and Machine Learning

Lead the next generation of computing through cutting-edge technology.

Courses in this Specialization

CSC505 - Principles of Software Development

CSC506 - Design and Analysis of Algorithms

CSC510 - Foundations of Artificial Intelligence

CSC525 - Principles of Machine Learning

Corresponding Master Degree Programs

Why You Should Consider a Graduate Specialization

Flexible

Monthly Class Starts

Accelerated Courses

Want To Know More?

Apply Now

Free Application Code