Our dedicated team is here to help. Email [email protected] or schedule a 1:1 video chat with an Admissions Advisor. We’re happy to talk about our vision of change in higher education or specifics about the curriculum, global events, tuition model, career services, or global alumni network.
Master of Science in AI Engineering Admission Criteria
Candidates may be experienced technical professionals or have demonstrated technical ability or interest in other ways. They should be motivated to lead innovation in the AI economy, and possess the following minimum requirements.
Undergraduate / bachelor’s degree
Quantitative aptitude
English language proficiency
GRE and GMAT scores are accepted but not required. Foundational prerequisite course may be required for some candidates.
Interviews
You may be selected for a brief interview with our Admissions team. This is good news! It’s an opportunity to reflect on your goals and for us to learn more about you and establish your fit for the program. Upon completion of your interview, you may be required to successfully complete a free, foundational training before you are considered for admission.
Deferrals
If accepted, you may defer to a future class. Simply register for the current class and let us know prior to the start of classes. If you do not register or defer, your offer of acceptance will expire. There is no guarantee of future admission, nor does any scholarship award transfer, if applicable.
Innovative Tuition Model
We are committed to bringing affordability and accessibility to elite business education. Students benefit from our innovative employer funded model that leverages companies’ tuition reimbursement policies, as well as numerous scholarship awards.
Quantic's degree programs are widely praised by students for their rigor, efficacy, and flexibility. Paired with a diverse, global network of high-achieving peers, students receive an exceptional education that rivals top schools.
Taylor Weibley
Senior Customer Engineer, Google
“With experience in scaling and operating web applications, I’ve seen software engineering evolve from agile development to AI-assisted tools. Quantic’s focus on modern methodologies is the ideal place to deepen my knowledge and advance industry practices.”
Chris Franklin
Senior Software Developer, McKesson
“I selected the MSSE program to strengthen my understanding of core software engineering principles and to acquire hands-on experience with AI and machine learning. I am particularly excited about the Capstone Project, where I can work with a team to develop a practical and useful application.”
