The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems.
The curriculum incorporates elements of data science, robotics, and machine learning—enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, software, or hardware development, or a doctoral degree in a sector poised for explosive growth.
A recent survey of IT executives found that while only 4% of organizations have begun to invest and deploy AI initiatives, 46% have plans to do so in the near future. The same survey identifies two challenges in the adoption of artificial intelligence: the availability of skilled and experienced staff, and the lack of IT and business understanding of AI’s potential. All of which means investing in a graduate education in AI today will pay big dividends tomorrow.
The Master of Science in Artificial Intelligence at Khoury College prepares professionals for leadership roles in this emerging area of the technological landscape, educating students in the creation and administration of AI systems that can reason and respond to complex realities—systems that will revolutionize the 21st century workplace through seamless integration of human and AI capabilities.
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Unique Features
- Interdisciplinary curriculum incorporates elements of data science, robotics, and machine learning
- Choice of two electives drawn from one of five specializations: vision, intelligent interaction, robotics and agent-based systems, machine learning, or knowledge management and reasoning
- Incorporates coursework in ethical concerns in developing responsible AI technologies
Learning Outcomes
Graduate students who complete the MSAI degree will be able to:
- Understand representations, algorithms, and techniques used across works in artificial intelligence, and be able to apply and evaluate them in applications as well as develop their own
- Understand the basic processes that an agent must perform—from perceiving its environment to making decisions on how to act and performing those actions—as well as be able to develop and evaluate technology that can be used to perform these processes
- Understand and apply machine learning techniques, in particular to draw inferences from data and help automate the development of AI systems and components
- Understand the various ways and reasons humans are integrated into mixed human-AI environments, whether it is to improve overall integrated system performance, improve AI performance, or influence human performance and learning
- Understand the ethical concerns in developing responsible AI technologies
- Model human behavior, develop human-AI systems, and evaluate their performance
- Demonstrate knowledge of the use of AI algorithms and processes in one of the specialization areas: robotics and agent-based systems, vision, intelligent interaction, machine learning, and knowledge representation and reasoning
Career Outlook
Students who successfully complete this program are ready for a wide range of career opportunities, including:
- AI data scientist
- Applied machine learning researcher
- Artificial intelligence engineer
- Applied artificial intelligence researcher
- Robotics engineer
More than 40% of organizations plan to deploy AI solutions by the end of 2020 and plan to double the number of AI projects in place within the next year, according to the Gartner 2020 CIO Agenda Survey. Indeed.com data also revealed that AI job postings rose 29.1% in 2019.
