MS in Artificial Intelligence and Machine Learning
Build the high-tech career of your dreams—and systems that will change the world—with an advanced degree in one of today’s fastest-growing fields.
Why Earn an MS in Artificial Intelligence and Machine Learning?
Artificial intelligence (AI) is transforming our lives on a daily basis. Companies, organizations and governments around the globe need AI-trained engineers who can push technology to its limits—and beyond. With an MS in Artificial Intelligence and Machine Learning, you’ll gain the skills, knowledge and experience you need to play a leading role in the computing revolution. In this program, you’ll learn to unite the power of human creativity and scientific efficiency, creating technology that ushers in a better world.
Because AI lies at the intersection of multiple in-demand fields, you’ll be ideally positioned to land any job in the tech sector. Make your mark as an AI engineer, machine learning engineer, data scientist or software engineer, or further your academic journey by pursuing a PhD.
Why Earn Your MS in Artificial Intelligence and Machine Learning at Adelphi?
- Benefit from Adelphi’s core strengths in mathematics, statistics and computer science, all integrated into one multidisciplinary, market-responsive curriculum.
- Maximize the value of your skills with our engineering approach, which teaches you to develop, assess and optimize algorithms that effectively mimic human thinking.
- Enroll in a flexible program designed for busy working professionals. Our combination of online and in-person courses allows students to enjoy hands-on learning experiences with minimal disruption to their schedules.
Opportunities are abundant and growing for software engineers who can extend AI’s vast potential and use its algorithms responsibly in new applications.
Anil Venkatesh, PhD
Associate Professor, Mathematics and Computer Science
Exceptional Hands-On Learning
At Adelphi, we believe in the power of experiential learning to fuel our students’ professional success. Our faculty teach with case studies drawn from authentic scenarios, helping you understand the real-world impact of the technology you’re studying—and ensuring you’ll be prepared to build systems that are ethical, responsible and beneficial for all people.
Program Info
Admission Requirements
To be admitted to this program, students must have completed a relevant undergraduate degree (for example, computer science, mathematics, AI, applied mathematics) with a GPA of 3.0 or higher. Strong students with a GPA of 3.5 or higher without the required background are also invited to apply.
Awards & Recognition
