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ONLINE MASTER OF SCIENCE DEGREE INARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING

Lead the Next Generation of Computing with a Master’s Degree in Artificial Intelligence & Machine Learning

If you’re excited about the potential effect that artificial intelligence (AI) and machine learning will have on the technology industry and society as a whole, then you may want to consider getting your Master’s Degree in AI and Machine Learning from CSU Global.

Our online M.S. in Artificial Intelligence was designed to provide students with core knowledge needed to succeed in the fields of AI, machine learning, computer science, and software development.

Whether you’ve already got some experience in AI or machine learning and you’re in need of academic credentials required to take the next step in your career, or you’re new to the field, our AI and Machine Learning Master’s program could be the catalyst needed to land a job or promotion in a related role.

This fully accredited Master’s Degree in Machine Learning will train you to analyze and associate AI principles into reasoning and uncertainty in a perceptive environment, including how to apply techniques for image analysis and reconstruction, and how to implement holistic AI and machine-learning solutions for a given problem of scenario.

Completing your Master’s Degree in AI and Machine Learning online with CSU Global will prepare you to bring value to any organization from day one, ensuring you’re well prepared to help lead the next generation of computing using cutting-edge technology.

 

Career Outlook

15% GROWTH PROJECTED WITHIN THE FIELD Employment for Computer Information Research Scientists is expected to grow 15% by 2029, which is much faster than the average for all occupations.

COMPUTER AND INFORMATION RESEARCH SCIENTIST, AI OR MACHINE LEARNING ENGINEER/SCIENTIST, SOFTWARE DEVELOPER, COMPUTER SYSTEMS DESIGNER Top Artificial Intelligence and Machine Learning job titles.

$122,840 ESTIMATED ANNUAL SALARY According to the BLS, the average annual salary for Computer Information Research Scientists is over $122k.

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ESTABLISH AND ACHIEVE OBJECTIVES USING TECHNIQUES ASSOCIATED WITH AI REASONING AND UNCERTAINTY.

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APPLY LOGIC, PROBABILITY ANALYSIS, AND MACHINE-LEARNING CONCEPTS TO PROBLEM-SOLVING INITIATIVES.

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ANALYZE SYSTEMS TO EFFECTIVELY MONITOR AND CONTROL DEVELOPMENT PROJECTS.

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USE BEST PRACTICES IN REGARD TO APPLICATIONS IN SPEECH RECOGNITION, DATA PROCESSING, DATA MINING, AND ROBOTIC CONTROL.

Watch a Quick 2-Minute Overview

This short video covers a variety of topics, including:

  • Why you should consider getting an M.S. in Artificial Intelligence.
  • What you’ll learn in our online Master’s Degree in AI and Machine Learning.
  • Why you should pick CSU Global’s Artificial Intelligence Master’s program.

What Will I Learn from CSU Global’s M.S. in Artificial Intelligence?

Our Master’s Degree program in Artificial Intelligence and Machine Learning provides students with the knowledge required to thrive in advanced, cutting-edge high technology roles like programming, software development, artificial intelligence, and machine learning. 

The program’s curriculum addresses the latest deep-learning libraries, such as Tensorflow, with a focus on proficiency in Python, as well as training students on applying these technologies to a variety of industries, including healthcare, manufacturing, oil/gas, and automotive.

This program does have several important prerequisites; students must have already completed at least one advanced course in Discrete Mathematics and one advanced course in Probability and Statistics before being accepted into the program. If you haven’t completed those courses, then you will need to seek the program chair’s approval before being admitted into the program. For additional details, please see the Prerequisites section below.

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What AI and Machine Learning Skills Will You Develop?

Our online Artificial Intelligence and Machine Learning program is geared toward students who already possess technical acumen, and who see AI and machine learning as an exciting, innovative career path.

If you’re interested in programming, math, probability and statistics, then this may be the perfect opportunity to help you explore topics you’re passionate about and to find a professional fit in an industry that you’re excited to work in.

Studying AI and machine learning with CSU Global will help you learn how to solve complex business problems with innovative technical solutions, and could open doors for career advancement in several related fields.

Learning outcomes for this program include:

  • Use principles and techniques associated with software development.
  • Apply artificial intelligence principles as needed for a given problem or scenario.
  • Apply machine learning principles to solve a specific problem or scenario.
  • Develop solutions that are capable of modeling human behavior.
  • Implement a solution that combines artificial intelligence and machine learning principles.
  • Evaluate the performance of applications in artificial intelligence and machine learning domains.

What AI and Machine Learning Courses Will You Take?

CSU Global’s Master of Science program in AI and Machine Learning requires the completion of 30 total credits of Core Degree Courses.

Classes Start May 10th

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Core Degree Courses (30 Credits)

  • CSC500 Principles of Programming
    This graduate course provides a detailed overview of fundamental programming, design and testing concepts. Students are introduced to programming constructs and learn how to plan and create basic programming applications. Students will develop applications using common programming structures, which include: conditional statements, switches, loops, iteration control structures, and arrays.
  • CSC501 Management for the Computer Science Professional
    In this course, students will be prepared to analyze organizational issues surrounding programming, network and software development, and propose the necessary solutions to address business needs. Students gain a detailed understanding of how to manage, oversee, plan and maintain technical personnel and resources. Students will also learn how to effectively relay technical information to all stakeholders in an organization. Topics include management principles for programmers and development specialists, technical communications, organizational leadership, risk management, project management, and systems maintenance. Students will prepare for cross-functional positions in team and industry settings in this course.
  • CSC502 Ethical Leadership in Software Development
    In this course, students will learn about the ethical considerations and issues programmers and software developers encounter in the workplace related to data, electronic communication, and information security. Students will evaluate and interpret current policies and regulations and formulate their own policies based on these models. Students will also discuss the implications for ethical decisions by technical professionals and leadership utilizing Case Studies and Problem-based learning. Students will learn best practices in ethical decision-making for the work place in this course. Prerequisite: CSC501
  • CSC505 Principles of Software Development
    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.
  • CSC506 Design and Analysis of Algorithms
    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.
  • CSC507 Foundations of Operating Systems
    This graduate course provides students with a foundational knowledge in operating system concepts. Students will gain a detailed understanding of appropriate operating system constructs that involve OS abstractions and mechanisms. Students will also understand the constructs of multithreading and resource management in compute systems.
  • CSC510 Foundations of Artificial Intelligence
    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.
  • CSC515 Foundations of Computer Vision
    This Graduate course provide students with foundational knowledge in the areas digital image construction and processing. Students will explore topics associated with image formation, image acquisition, and image geometry. The course will expose students to the techniques required to efficiently analyze images for representation in applicable context scenarios. Students will apply image processing techniques for filtering and edge detection for image deconstruction. Prerequisite: CSC525 Artificial Intelligence.
  • CSC525 Principles of Machine Learning
    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.
  • CSC580 Applying Machine Learning and Neural Networks - Capstone
    This Graduate course provides students with an overview of appropriate theories and models that are used to represent neural networks. Students will gain foundational knowledge in developing constructs to evaluate and represent components associated with neural networks and learning algorithms. Topics for this course include propagation, feedforward networks, perceptrons, and self-organizing networks. Prerequisite: CSC510.

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.

Prerequisites

Students 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:

  • MTH350 Discrete Mathematics
    This online course provides an introduction to discrete math with a personalized learning approach designed for an Information Technology specialization. The main areas of study include combinatorics, sequences, logic and proofs, and graph theory. Assessments for this course will include discussions, mastery exercises, and critical thinking assignments with several IT-related applications. This course fulfills a general education mathematics requirement. Course not eligible for Prior Learning Assessment (PLA) credit.
  • MTH410 Quantitative Business Analysis
    This course provides students with skills to analyze data and apply concepts of statistical analysis and research in a business context. Students formulate conclusions from data using descriptive and inferential statistical methods and expand on knowledge of the underlying theory behind types of data, data sources, data organization, measures of central tendency and variation, probability, and probability distributions. (This course is also offered through SSA. Credits earned using this option will appear on transcripts with an “S” suffix.) Course not eligible for Prior Learning Assessment (PLA) credit.


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.
 

Frequently Asked Questions

What are Artificial Intelligence and Machine Learning, and Why Do They Matter?

Artificial intelligence and machine learning are processes or technologies that help machines become intelligent, making them more useful to the humans who rely on them for help solving complicated problems.

AI itself broadly refers to the process of developing technology capable of mimicking human cognitive abilities, allowing a machine to “think,” and solve problems in creative ways. 

Machine learning could be considered a subset of artificial intelligence-related skills, solutions, or techniques, as it refers to the process of training a machine to learn more quickly, or more intelligently.

The promise of AI and machine learning is that these technologies offer significant benefits for rapidly improving solutions for a whole host of challenges, from logistics to planning to operations and production. 

Virtually every sector of the economy is predicted to be impacted by rapid developments in AI and machine learning, which is why so many experts are so excited about the promise of improving and applying these cutting-edge technologies to complex organizational issues.

Why Should I Consider Studying Artificial Intelligence & Machine Learning?

If you want to lead the next generation of computing by helping develop and utilize cutting-edge technology, then you should consider studying artificial intelligence and machine learning.

AI and machine learning have a tremendous potential to disrupt the tech industry and society as a whole, and our Master’s Degree in Artificial Intelligence and Machine Learning was designed to provide you with foundational knowledge in the field so that you can harness them to launch a fulfilling career.

Studying AI will set you up for success by preparing you to assume important AI-related roles and capitalize on an industry that the Bureau of Labor Statistics projects will be expanding at a rate much faster than the average for all occupations over the next decade, making AI and machine learning positions an excellent opportunity for long-term career growth.

If you want to use advanced and innovative technological solutions to solve complex business problems, and you’re interested in AI or machine learning, then this program may be the perfect way to get your foot in the door in the industry and secure a job working in a field that you’re passionate about.

What Do AI and Machine Learning Professionals Actually Do?

AI and machine learning have a whole host of applications.

Artificial intelligence and machine learning professionals handle a series of complicated technical tasks, with daily tasks that vary by role, but some typical responsibilities include:

  • Establishing and achieving objectives using techniques associated with AI reasoning and uncertainty.
  • Applying logic, probability analysis, and machine learning concepts to problem solving initiatives.
  • Analyzing systems to effectively monitor and control development projects.
  • Using best practices in regard to applications in speech recognition, data processing, data mining, and robotic control.

How Do You Get a Job in Artificial Intelligence or Machine Learning?

Just like any other industry or position, the easiest way to get a job working in Artificial Intelligence or Machine Learning is to develop the skills, abilities, and credentials needed to get hired for a related role.

While it certainly is possible to develop AI and machine learning skills on your own, outside of academia, earning your Master’s Degree in the field sends a strong signal that you’ve developed the necessary educational background, skills and abilities needed to succeed in this challenging field.

For the typical person, the simplest and fastest way to develop the skills, abilities and experience required to get a job in the field is likely to complete a degree in AI or machine learning.

CSU Global’s online Master’s Degree in Artificial Intelligence and Machine Learning will introduce you to industry best practices and train you to apply optimal system analysis and design so that you can bring value to an organization from day one.

What Can You Do With a Master’s Degree in AI or Machine Learning?

Completing your M.S. in AI and Machine Learning will help you prepare to take on the daily duties and responsibilities required of industry experts, including:

  • Analyzing and associating AI principles into reasoning and uncertainty in a perspective environment.
  • Applying techniques for image analysis and reconstruction.
  • Implementing holistic AI and machine learning solutions for a given problem or scenario.
  • Developing AI-driven solutions that are capable of modeling human behavior.
  • Creating solutions that combine artificial intelligence and machine learning principles.
  • Evaluating the performance of applications in artificial intelligence and machine learning domains.

By providing you with direct experience utilizing the latest deep-learning libraries, such as Tensorflow, and focusing on developing your proficiency in Python, CSU Global’s master’s program in AI and machine learning is an excellent way to develop your skills, abilities, and awareness of industry best practices.

Our program also helps set you up for success by giving you direct, real-world experience to industry-specific challenges, including training you to apply various AI and machine learning technologies to a variety of industries, including healthcare, manufacturing, oil and gas, and automotive.

What Jobs Can You Get With a Master’s Degree in AI and Machine Learning?

CSU Global’s online Artificial Intelligence and Machine Learning Master’s Degree program courses will equip you with the knowledge and skills needed to serve as an effective AI expert, and prepare you for employment in or promotion to several important roles, including AI Engineer or Scientist, Machine Learning Engineer or Scientist, Software Developer, Computational Scientist, Machine Learning Data Developer, AI Interaction Designer, and many other similar positions.

By completing our program you’ll set yourself up for success in the industry and open doors for career advancement, including for some of the top AI and Machine learning job titles, like:

Is a Master’s Degree in AI and Machine Learning Really Worth It?

Yes! While it may take hard work and dedication to complete your Master’s Degree in Artificial Intelligence and Machine Learning, this is a great industry to launch a career in.

The Bureau of Labor Statistics is projecting demand for related roles to increase significantly over the next decade, including a 22% increase in demand for Software Developers and a 15% increase in demand for Computer and Information Research Scientists.

CSU Global’s 100% online AI and Machine Learning Master’s program is one of the best ways to get your foot in the door of this exciting industry, and our program is one of the most widely respected in the field, for good reason.

Our program was specifically designed to provide you with the foundational knowledge, skills, abilities, and industry experience needed to secure employment in the field, and completing your degree with us means you’ll graduate with the knowledge required to thrive in roles that require programming, software development, artificial intelligence and machine learning knowledge.

If you want a role in leading the next generation of computing through cutting-edge AI and machine learning technology solutions, then you should consider enrolling with CSU Global.

How much will my degree cost?

Tuition Rates

Your education should increase your earning potential, not your monthly bills.

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Employer Discount

Your employer may be one of 3,000+ we partner with to offer a 10% discount on tuition.

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Financial Aid

You may be eligible to receive financial aid to help cover the cost of your education.

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Why You Should Earn Your Online Master’s Degree

Earning your online master’s degree through CSU Global provides you with more than just the diploma you need to get noticed. With an emphasis on real world concepts and career-relevant skills, you get training and experience along with your credit hours. Additionally, CSU Global strives to make your education as affordable as possible. With our Tuition Guarantee, your tuition rate won’t increase over time! Instead, you’ll enjoy the same low rate for the duration of your enrollment at CSU Global.

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“GOLD SCHOOL” OF DISTINCTION

In Best Colleges’ Schools of Distinction standings, CSU Global earns one of only 15 gold rankings, out of more than 2,000 online degree programs.

TOP MILITARY-FRIENDLY ONLINE COLLEGE

Guide to Online Schools identifies CSU Global as one of the top military-friendly online institutions.

“The pride I have in achieving a Masters Degree from CSU Global provided me with the confidence to attain the career plan I had envisioned.”

SCOTT RYDER

Student

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