MS in Artificial Intelligence
MS in Artificial Intelligence
MS in Artificial Intelligence
Create programs that solve problems
The Master of Science in Artificial Intelligence (MSAI) program provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge you’ll need to explore both key contextual areas and complex technical applications of AI systems. You’ll choose a specialization in vision, intelligent interaction, robotics, machine learning, or knowledge management. You’ll pursue a holistic and interdisciplinary course of study through academic and research experiences that incorporate data science, robotics, and machine learning.
Create programs that solve problems
The Master of Science in Artificial Intelligence (MSAI) program provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge you’ll need to explore both key contextual areas and complex technical applications of AI systems. You’ll choose a specialization in vision, intelligent interaction, robotics, machine learning, or knowledge management. You’ll pursue a holistic and interdisciplinary course of study through academic and research experiences that incorporate data science, robotics, and machine learning.
Create programs that solve problems
The Master of Science in Artificial Intelligence (MSAI) program provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge you’ll need to explore both key contextual areas and complex technical applications of AI systems. You’ll choose a specialization in vision, intelligent interaction, robotics, machine learning, or knowledge management. You’ll pursue a holistic and interdisciplinary course of study through academic and research experiences that incorporate data science, robotics, and machine learning.
Create programs that solve problems
The Master of Science in Artificial Intelligence (MSAI) program provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge you’ll need to explore both key contextual areas and complex technical applications of AI systems. You’ll choose a specialization in vision, intelligent interaction, robotics, machine learning, or knowledge management. You’ll pursue a holistic and interdisciplinary course of study through academic and research experiences that incorporate data science, robotics, and machine learning.
Explore the Khoury graduate experience
Khoury College master’s students gain deep expertise and invaluable experience—preparing you for a career in CS, data science, cybersecurity, AI, and more.
Explore the Khoury graduate experience
Khoury College master’s students gain deep expertise and invaluable experience—preparing you for a career in CS, data science, cybersecurity, AI, and more.
Explore the Khoury graduate experience
Khoury College master’s students gain deep expertise and invaluable experience—preparing you for a career in CS, data science, cybersecurity, AI, and more.
Explore the Khoury graduate experience
Khoury College master’s students gain deep expertise and invaluable experience—preparing you for a career in CS, data science, cybersecurity, AI, and more.
Learning Outcomes
Students who complete the MSAI program will be able to:
- Understand representations, algorithms, and techniques used across the AI industry 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, making decisions on how to act and performing those actions, as well be able to develop and evaluate the technology that can be used to perform these processes
- Understand and apply machine learning techniques 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
Futures on the forefront
MSAI graduates can find success in a wide range of careers, including:
- Machine Intelligence Engineer
- AI Programmer
- Natural Language Processing Developer
- QA Automation Engineer
Learning Outcomes
Students who complete the MSAI program will be able to:
- Understand representations, algorithms, and techniques used across the AI industry 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, making decisions on how to act and performing those actions, as well be able to develop and evaluate the technology that can be used to perform these processes
- Understand and apply machine learning techniques 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
Futures on the forefront
MSAI graduates can find success in a wide range of careers, including:
- Machine Intelligence Engineer
- AI Programmer
- Natural Language Processing Developer
- QA Automation Engineer
Learning Outcomes
Students who complete the MSAI program will be able to:
- Understand representations, algorithms, and techniques used across the AI industry 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, making decisions on how to act and performing those actions, as well be able to develop and evaluate the technology that can be used to perform these processes
- Understand and apply machine learning techniques 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
Futures on the forefront
MSAI graduates can find success in a wide range of careers, including:
- Machine Intelligence Engineer
- AI Programmer
- Natural Language Processing Developer
- QA Automation Engineer
Learning Outcomes
Students who complete the MSAI program will be able to:
- Understand representations, algorithms, and techniques used across the AI industry 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, making decisions on how to act and performing those actions, as well be able to develop and evaluate the technology that can be used to perform these processes
- Understand and apply machine learning techniques 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
Futures on the forefront
MSAI graduates can find success in a wide range of careers, including:
- Machine Intelligence Engineer
- AI Programmer
- Natural Language Processing Developer
- QA Automation Engineer
Faculty
Faculty
Next Steps
Next Steps
© 2023 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2023 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...