Master of Science in Artificial Intelligence
Rochester, USA
DURATION
2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Aug 2024
TUITION FEES
USD 2,257 / per credit
STUDY FORMAT
On-Campus
* rolling admissions
Introduction
There is an enormous and growing demand for AI professionals across all sectors of society. This artificial intelligence master's degree is designed for students with an interest in various AI sectors from various educational backgrounds.
You will develop well-rounded skill-sets in designing, developing, and deploying AI systems, and also in understanding and analyzing AI’s impact on policy and society. A rich set of core courses prepare you with essential technical skills and knowledge.
Master's in Artificial Intelligence
RIT's artificial intelligence master's offers you a tailored experience through your choice of electives. For example, you can study a central AI topic or an impactful domain of AI applications. You will gain career-enhancing experience through hands-on projects and course work. Prior to graduation, a capstone or an optional thesis allows you apply learned skills to evaluate or investigate an active area in artificial intelligence.
Gallery
Admissions
Curriculum
AI Course Work
- Core courses: You will develop a range of essential AI skills and knowledge through core courses. If necessary, there are computer programming and a mathematical bridge courses available.
- Elective courses: Make this degree your own by customizing electives to fit your goals. Develop depth in an area of special interest with electives that focus on central AI themes such as machine learning, natural language and speech processing, computer vision, robotics, sociotechnical AI analysis, and more.
- Capstone or thesis: Choose to complete a capstone course and an extra elective course, or spend the equivalent of two courses on a thesis project with an individual expert advisor.
Interdisciplinary Curriculum
The master’s in AI is jointly delivered by faculty experts from four RIT colleges–Golisano College of Computing and Information Sciences, College of Liberal Arts, College of Science, and Kate Gleason College of Engineering–allowing you to grow valuable, career-enhancing interdisciplinary skills and communication competency as part of your program experience.
Course
First Year
- Fundamentals of Artificial Intelligence
- Mathematical Methods for Artificial Intelligence
- Ethics of Artificial Intelligence
- Fundamentals of Machine Learning
- Research Methods for Artificial Intelligence
- Program Elective
Second Year
Choose one of the following tracks:
- Capstone Project, plus one additional Program Elective
- Research & Thesis
- Program Electives
* IDAI-699 Graduate Co-op: A co-op is entirely optional at the graduate level, with permission of the school director, and may delay time to completion depending on scheduling constraints. Co-op experiences are zero credit.
MS Program Electives
Machine Learning
- Statistical Machine Learning
- Deep Learning
- Pattern Recognition
- Deep Learning Security
- Neural Networks
- Integer and Nonlinear Programming
- Principles of Statistical Data Mining
Natural Language and Speech Processing
- Natural Language Processing I
- Natural Language Processing II
- Speech Processing II
- Graduate Cognition
Neuromorphic Computing
- High Performance Architectures
- Special Topics
- Biologically Inspired Intelligent Systems
- Data Analytics Cognitive Comp
Robotics
- Mobile Robot Programming
- BioRobotics/Cybernetics
- Principles of Robotics
- Advanced Robotics
Sociotechnical Analytics and Policy of Artificial Intelligence
- Artificial Intelligence and Communication
- Introduction to Data Analytics and Business Intelligence
- Graduate Cognition
- Technological Innovation and Public Policy
Vision
- Computer Vision
- Advanced Computer Vision
- Image Understanding
- Pattern Recognition
- Pattern Recognition
- Image Processing and Computer Vision
- Multi-View Imaging
- Graduate Special Topics: Deep Learning for Vision
Career Opportunities
Careers in Artificial Intelligence
Graduates of the master's in artificial intelligence are equipped with the tools and knowledge for successful careers in industry or other organizations. They will also be prepared for doctoral degree programs in a range of areas, as the impact of AI expands into established and emerging career professions.
Typical Job Titles
- AI Engineer
- Machine Learning Specialist
- Software Developer
- Entrepreneur
- Research Associate
- AI Policy Specialist
- Technology Analyst
- Computational Linguist
English Language Requirements
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