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Online Master of Science in Artificial Intelligence Program Guide
Artificial intelligence technology offers an unprecedented opportunity to change society for the better. With AI-related innovations like machine learning, data processing, robotics, and natural language processing, we can revolutionize how we think of things like social interaction, business operations, information gathering, data processing, news, and entertainment.
Businesses and organizations will need brave leaders in AI to develop and operate new solutions in this quickly evolving field. You can answer that call with your Maryville University’s online master of science in artificial intelligence. Study high-demand topics in a collaborative, project-based environment, and prepare for real-world opportunities in AI.
Start your journey
At a glance
Apply with no GRE or application fee and choose from 3 start dates.
Benefit from transfer credit-friendly admission.
Access 100% online coursework with no campus visits required.
Maximize your educational experience with 2 built-in professional certificates.
Complete your master’s in AI in as few as 2 years.
Learn to use in-demand tools like R, Python, C++, Amazon Web Services, and Google Colaboratory.
Curriculum
At Maryville University, we have a reputation for being future-focused and tech-forward. That sense of purpose and innovation drives our curriculum for our master’s in AI, one of the only fully online degrees of its kind in the U.S. Our program comprises 33 credit hours (11 classes), including seven core courses in areas like deep learning, machine learning, mathematics, and ethics; three elective courses of your choice; and a practical capstone experience to help you build your real-world skills in AI.
All courses are three credit hours and take just eight weeks (half a term) to complete.
Required Artificial Intelligence Courses
- MATH 509: Mathematics for Artificial Intelligence
- DSCI 503: Python
- DSCI 508: Machine Learning
- DSCI 619: Deep Learning
- COSC 635: Reinforcement Learning
- COSC 640: Fundamentals of Artificial Intelligence
- COSC 643: Ethics of Artificial Intelligence
- DSCI 598: Capstone Project
Artificial Intelligence Elective Options (Choose 3)
- DSCI 614: Text Mining
- COSC 521: Robotics
- COSC 523: Image Processing
- COSC 641: Advanced Artificial Intelligence
- COSC 645: Applications of Artificial Intelligence
To ensure the best possible educational experience for our students, we may update our curriculum to reflect emerging and changing employer and industry demands.
Admission requirements
- Bachelor’s degree from a regionally accredited institution
- Minimum GPA of 3.0 on a 4.0 scale (college work)*
- No GMAT or GRE required
- You can read our transfer credit policy here**
- Official transcripts required for all institutions previously attended
- 300- to 500-word personal statement
- Resume required
- International applicants (if applicable): Official Test of English as a Foreign Language (TOEFL with a score of 563, speaking sub-score of 23, writing sub-score of 20, reading and listening scores of 21, and a combined score of 85 or higher)
*Applicants who do not meet the GPA requirement may be considered for provisional admission.
**The acceptance of transfer credit is at the discretion of Maryville University.
Students who do not meet the requirements for full admission into Maryville graduate programs may be considered for conditional admission. Students may qualify for conditional admission with a GPA between 2.75 and 2.99.
Explore our additional resources to help guide your admission journey.
Accreditation and rankings
Not quite ready for a full master’s degree? We’ve got you covered.
Everyone’s educational and professional path is different, and every learner has unique needs and goals. If you have already earned your bachelor’s degree but aren’t ready for a full master’s degree in AI, you can streamline your path toward upskilling by earning your professional certificate. Choose from two options, depending on your background, experience, and skill level:
Post-Baccalaureate Certificate in Fundamentals of Artificial Intelligence
Earning your professional certificate doesn’t lock you out of completing a master’s degree. In fact, it streamlines the process. All coursework you complete during your certificate program is for credit, meaning you can apply coursework toward a future master’s degree.
Why Maryville Online?
We’ve been progressively challenging the norms of higher education for nearly 150 years. We started as one of the first universities to educate women. Today, we continue to push the boundaries and prepare students like you for a digital world. At Maryville, we understand what it takes to step beyond your comfort zone.
Maryville University is a nationally ranked private college recognized for comprehensive and innovative education focused on student learning, outcomes, and success — both online and on campus. We’re located just 22 miles from downtown St. Louis.
Early Access program
Did you know that Maryville undergraduates can qualify for graduate-level credits? Once you are accepted – and you have not yet completed your elective requirements — we invite you to explore Early Access as an option.
Through Early Access, you can get a head start on earning a graduate degree by taking master’s-level courses that count toward your undergraduate and graduate degrees. Graduate-level Early Access courses are billed at the undergraduate tuition rate — so you can save time and money.
You can learn more at our Early Access page.
Faculty spotlight
Robbie Beane, PhD
Director of Computer Science, Assistant Professor of Data Science
Dr. Robbie Beane is passionate about computer and data science education and exploring the applications of technology within his teaching practice. As a director and educator in our computer science programs, including the Master of Science in AI, he finds innovative ways to introduce students to new technological skills and to enhance the student experience by implementing cutting-edge technology into the courses he teaches.
His recent work in computer science includes an exploration of the use of commercial cloud-computing services such as Amazon Web Services and Databricks within an educational setting.
Dr. Beane holds a PhD in Mathematics from the Missouri University of Science and Technology. Throughout his nearly two decades of teaching experience, he has taught and developed courses in actuarial science, mathematics, data science, and computer science, covering topics like computer programming, machine learning, deep learning, artificial intelligence, big data analytics, and probability theory.
When you earn your online Master of Science in Artificial Intelligence from Maryville University, you can explore a booming field with passionate industry professionals like Dr. Beane who use their knowledge and real-world expertise to enhance your educational experience.
Start your journey today
Learn more about the Maryville University’s online master of science in artificial intelligence.