Online Master’s in Artificial Intelligence Curriculum

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Artificial intelligence and related technologies like machine learning, image processing, and natural language processing are important components of today’s business, entertainment, media, and social interaction arenas — and they’ll be crucial for the future. But some experts predict there will be a talent shortage of AI professionals even as demand skyrockets in the coming years.*

If you want to build a high-tech career in AI, an advanced degree such as a Master of Science in Artificial Intelligence can help you build the knowledge, skills, and experience you need to brave this vital field and take advantage of employer demand — while helping meet tomorrow’s challenges.

*The Hill, “The reality of America’s AI talent shortages”

What can you expect from Maryville University’s online MS in Artificial Intelligence curriculum?

At Maryville University, we built our 100% online master’s degree in artificial intelligence curriculum with your future in mind. Featuring two built-in professional certificates, our program gives you the opportunity to learn from experts in the field and benefit from experiential, project-based education that connects what you study in the classroom with what you’ll do in your career. Study online, on your time, from wherever is convenient for you, and prepare to lead and thrive in the booming AI field.

Core Courses

MATH 509Mathematics for Artificial Intelligence3 Credits
DSCI 503Python3 Credits
DSCI 508Machine Learning 3 Credits
DSCI 619Deep Learning3 Credits
COSC 635Deep Reinforcement Learning3 Credits
COSC 640Fundamentals of Artificial Intelligence3 Credits
COSC 643Ethics of Artificial Intelligence3 Credits
DSCI 598Capstone Project3 Credits

Elective Courses

Choose any 3 courses

DSCI 614Text Mining3 Credits
COSC 521Robotics3 Credits
COSC 523Image Processing3 Credits
COSC 641Advanced Artificial Intelligence3 Credits
COSC 645Applications of Artificial Intelligence3 Credits
SWDW 610Data Structures3 Credits

To ensure the best possible educational experience for our students, we may update our curriculum to reflect emerging and changing employer and industry trends.

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What are some common concepts, skills, and competencies covered in an MS in Artificial Intelligence curriculum?

Full master’s degrees in artificial intelligence are still new and innovative. At Maryville University, we have a reputation for being future-focused and tech-forward, and our master’s in AI is one of the only fully online experiences of its kind in the U.S.

Some of the skills you can expect to cover in your master’s in artificial intelligence curriculum may include:

Working with state-of-the-art AI technology.

Advanced artificial intelligence degree programs typically focus on using techniques and technology related to AI, deep learning, natural language processing, big data, computational linguistics, and machine vision. In addition, learners typically work with computer programming languages like R, Python, and C++, along with cloud services such as AWS and Google Colaboratory.

Want to learn more about some of this technology? Maryville University also offers 100% online professional certificates in areas like big data and machine learning that can give you a streamlined pathway to building graduate-level understanding in these fields.

Understanding applications and uses of AI.

Artificial intelligence has an incredible number of uses and applications in a wide range of professional fields. The metaverse, the “internet of things,” augmented and virtual reality, automation, driverless cars, robotics, and security are just a few areas where AI stands to revolutionize operations. Your master’s degree can help you learn how best to use these techniques and technologies for today’s business, entertainment, social interaction, and media needs — and to prepare for future innovations.

Building independent research and critical thinking skills.

Technology develops and evolves fast. When you enter a field like AI, you’ll need to be prepared to keep up or stay ahead of trends and technologies. Your graduate degree in artificial intelligence should help you develop your research skills and hone your critical thinking abilities, so you can keep growing your expertise throughout your career.

Practicing ethical stewardship of AI tech.

One of the trends shaping the future of artificial intelligence is ethical and responsible practice. The technological research firm Gartner suggests that most or all AI professionals will be required to have training in ethics as early as 2023.* AI and related technologies are powerful tools that can be used to change and improve many aspects of society, but it’s imperative to keep an eye toward transparency, auditability, limiting bias, and establishing trust. Your master’s degree should feature discussions and lessons in these topics to prepare you for conscientious stewardship of AI and related technologies.

*Gartner, “Gartner Identifies Four Trends Driving Near-Term Artificial Intelligence Innovation”

What are some common master’s in artificial intelligence courses?

An advanced, graduate-level artificial intelligence curriculum can provide you with practical skills that prepare you to develop and operate state-of-the-art technology in AI and related fields like machine learning and image processing. Coursework typically includes core AI and computer science classes to help build your foundation and advanced skills, as well as electives to help you to tailor your educational experience to your career goals. Some of these courses include:

Deep Learning/Deep Reinforcement Learning.

Deep learning and deep reinforcement learning are related but distinct topics in AI that are typically covered separately. The Deep Learning class should cover advanced artificial neural networks, touching on topics like recurrent neural networks, generative adversarial networks, Hopfield networks, and Boltzmann machines. The Deep Reinforcement Learning course covers areas like Markov decision processes, value-based methods, Deep Q-networks, policy-gradient methods, actor-critic algorithms, and multi-agent problems.

Text Mining.

One area in which artificial intelligence can drastically improve efficiency and comprehension is text mining. Courses in text mining can teach you how to use coding languages like R and Python to comb through unstructured text and glean new insights from social media, emails, and websites. Topics covered include corpus, transformations, metadata management, term document matrix, world cloud, and topic models.

Robotics.

The field of robotics is tied heavily with artificial intelligence technology, and courses in robotics can help you study and understand how that relationship operates and how robotics can be used to enhance business and organizational practices. These courses also cover complex topics like abstract models, complex motions, external and remote sensors, robotics behavior, event programming, and human-robot interaction.

Image Processing.

With artificial intelligence, computers can study and analyze imagery and video footage to discover new insights and learn new information. Image processing classes typically cover visual-focused topics like image sampling, noise reduction, classification and segmentation, feature extraction, and keypoint detection.

Fundamental and Advanced AI.

While other classes in your graduate-level AI curriculum feature deep dives into specific topics, classes in fundamental and advanced AI help you develop a broad understanding of the field. Courses in AI fundamentals may give you historical and technological context and touch on areas like algorithms, game theory, logic, knowledge representation, and automated planning. Then, courses focused on advanced AI plunge deeper into complex topics like evolutionary algorithms, probabilistic reasoning, natural language processing, computer vision, and robotics.

Learn more about the MS in Artificial Intelligence curriculum

If you’re excited by the endless possibilities AI presents for your career, consider an online Master of Science from Maryville University.

You can earn this advanced degree entirely through Canvas, our intuitive online learning platform, and build valuable tools that can help you navigate the AI careers of today — and roles that don’t even exist yet. When you choose to pursue your master’s in artificial intelligence, you can build the skills to seek employment in a wide range of fields and industries.

Take the next step toward a rewarding future and see what our online MS in Artificial Intelligence can do for you.