Introduction
Overview
Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.
In the applied artificial intelligence masters program, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications. Students will learn a blend of software and hardware skills that are applicable across multiple engineering domains.
Students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the-art topics such as internet of things (IoT), information systems security, and big data applications.
Masters students in the applied artificial intelligence program have the opportunity to work on exciting new projects and applications relating to:
Machine learning
Deep learning
Image processing and computer vision
Autonomous robotics
Smart health
Biomedical engineering
Transportation engineering
Financial engineering
Embedded systems
Software engineering
Intelligent communications networks
The Stevens Advantage
As one of the country's premier institutions for computer engineering, signal processing, and emerging communications standards, Stevens offers graduate students exposure to a broad-based, interdisciplinary curriculum. Located just across the river from New York City, Stevens’ location is ideal for students who want to network with tech companies who are developing groundbreaking new technologies and looking to recruit top-level talent.
Program Features
A flexible curriculum that allows for cross-program interest areas.
Unique program structure combines fundamental theory, applied skills and cutting-edge research-oriented coursework.
Hands-on project work.
Choice of Master of Science or Master of Engineering.
Available fully online via StevensOnline.
Concentrations
Artificial Intelligence in Design and Construction
Biomedical Engineering
Computer Engineering
Data Engineering
Electrical Engineering
Mechanical Engineering
Software Engineering
Systems Biology
Who Should Apply?
We welcome applicants who have a passion for artificial intelligence and a drive to innovate technological progress. You can apply with an undergraduate degree in electrical engineering, computer engineering or a closely related discipline.
Curriculum Overview
The applied artificial intelligence master’s degree program prepares students for specialization in artificial intelligence (AI) for engineering application domains. The program provides a strong background in understanding the theoretical foundations of AI, together with an understanding of electrical and computer engineering applications for intelligent networks, autonomous robotics, computer vision, biomedical engineering, and smart grids. Theoretical knowledge is blended with hands-on experience in implementing practical applications.
Students are required to complete a minimum of 30 credits (10 courses) to graduate, including the following:
One mathematical foundation course.
Four core courses in a chosen program.
Three concentration courses in a chosen concentration.
Two elective courses (for M. Eng. degree), or six-credit research project or thesis (for M.S. degree).
By the end of this program, students will:
Have a solid mathematical and technological background including probability and statistics, optimization, matrix theory, signal processing, and advanced algorithms.
Possess knowledge of state-of-the-art modern topics in artificial intelligence, including Bayes theorem, support vector machines, neural networks, deep networks, graph models and reinforcement learning.
Learn a blend of hardware, software, and data analytics skills to support the design and development of AI applications in various engineering domains.
Concentrations Include:
Electrical Engineering
Computer Engineering
Data Engineering
Software Engineering
Biomedical Engineering
Systems Biology
Mechanical Engineering
Artificial Intelligence in Design and Construction
Below are some of the typical courses available in this program.
Core Courses Include:
Select four:
CPE 695 Applied Machine Learning
CPE 646 Pattern Recognition and Classification
EE 627 Data Acquisition and Processing I (Big Data)
EE 628 Data Acquisition and Processing II (Deep Learning)
EE 672 Applied Game Theory and Evolutionary Algorithms
EE 608 Applied Modeling and Optimization
Mathematical Foundation Courses:
Select one:
EE 602 Analytical Methods in Electrical Engineering OR
EE 605 Probability and Stochastic Processes I
Program Requirements
Bachelor’s degree, with a minimum GPA of 3.0, from an accredited institution
Official college transcripts
Two letters of recommendation
Resume (optional)
TOEFL/IELTS scores (for international students)
A competitive GRE or GMAT score*
*GRE/GMAT is not required for part-time students.
Stevens Prepares You for a Great Career
The applied artificial intelligence master's program develops in-demand knowledge and skills to put you on track for career success.
Career Opportunities
Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
Data Engineer
R&D Engineer
Analyst Engineer For Intelligent Networks
Top Hiring Organizations
AT&T
Comcast
Facebook
Goldman Sachs
Google
Microsoft
