Master of Engineering in Electrical Engineering (STEM)

at EDUCO - Stevens Institute of Technology USA

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

Concentrations

• Artificial Intelligence in Design and Construction
• Biomedical Engineering
• Computer Engineering
• Data Engineering
• Electrical Engineering
• Mechanical Engineering
• Software Engineering
• Systems Biology

Few MBA programs consider how rapidly the data revolution has changed the ways managers recognize opportunities and identify trends. The Stevens MBA is taught by faculty who understand the traditional managerial toolkit — marketing, strategy and finance — must be complemented by skills in technology and analytics to create success.
Your courses will feature applied exercises that prepare you to be a leader who is capable of making fast, data-supported decisions. Coursework emphasizes collaboration through group projects and presentations, and develops your creativity and critical thinking skills through the incorporation of new analytical tools and the latest research insights.

In the chemical engineering master’s program at Stevens, you’ll have a wealth of world-class resources at your disposal for pursuing the research that interests you most. Our program offers you the best of both worlds: a department with a critical mass of renowned faculty and top-quality research facilities—and an entrepreneurial environment small enough to champion your talent and vision.

Our close-knit, collaborative community of faculty and student scholars works together to advance the rigor and possibilities of our field, with an inclusive spirit that extends new opportunities to all.

This graduate program features unique course electives in biofuels, colloids and interfacial phenomena, processing of polymers for biomedical applications, introduction to pharmaceutical manufacturing and nanotechnology, and more, giving Stevens’ students a broader range of knowledge in the chemical engineering field.

Concentrations

• Chemical Engineering
• Polymer Engineering
• Application of Machine Learning to Pharmaceutical Development

Unlike financial engineers, who use mathematical modeling and computer science skills to create algorithms and tools, financial analysts combine their programming skills with talents in data analysis and statistics to design innovative solutions to finance problems. They also use excellent business and communication skills to assess client needs and make recommendations to executive teams.

The Stevens master’s in Financial Analytics teaches professionals to apply their physics, statistics or engineering skills to the lucrative finance industry. You’ll learn from faculty whose insights are changing how the industry is thinking about concepts like machine learning, data modeling and optimization in finance. You’ll take courses in one-of-a-kind financial labs, home to the data analysis and visualization tools used on Wall Street. Most importantly, our location on the Hudson River ensures you’ll have regular interaction with industry recruiters in New York City, just 10 minutes away by train or ferry.

Housed in the Department of Mechanical Engineering. The Department of Mechanical Engineering has active research interests in the following areas: biomedical devices, biosensors

and cell/tissue-based physiological platforms, composites and structured materials, computational and experimental fluid

dynamics and heat transfer, computer-aided design and manufacturing, integrated product and process design, control

theory, design of thermal systems, knowledge-based engineering systems, noise control and vibration, robotics and

automation, nano/micro system modeling, design and fabrication, sustainable energy and pharmaceutical manufacturing. Concentrations: Product Design; Manufacturing; Thermal, Fluids, Energy; Medical Devices; Robotics; Micro/Nano Systems

The engineering physics master’s program prepares students for a successful career in industry or research by combining courses in fundamental physics with specializations that focus on applications to current research and technology. Students will gain deeper insight and skills in specific branches of engineering and interdisciplinary physics research including quantum engineering, applied optics, solid state device engineering and nanotechnology.

The engineering physics master’s program prepares students for a successful career in industry or research by combining courses in fundamental physics with specializations that focus on applications to current research and technology. Students will gain deeper insight and skills in specific branches of engineering and interdisciplinary physics research including quantum engineering, applied optics, solid state device engineering and nanotechnology.

The mechanical engineering master’s program at Stevens gives you an edge in an increasingly competitive profession where a mastery of research, design, production and testing skills is just as important as the next big idea.

This program focuses on techniques that enable the consistent creation of products through a science-based understanding of engineering materials and manufacturing processes and prepares you to solve complex engineering problems, position emerging technologies, lead the development of high-quality products, manage projects and maintain exacting standards in an ever-evolving economy.

Concentrations

• Manufacturing
• Medical Devices
• Micro/Nano Systems
• Pharmaceutical Manufacturing
• Product Design
• Robotics & Control
• Thermal, Fluids, Energy

The Business Intelligence & Analytics master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.

The curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.

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

Concentrations

• Artificial Intelligence in Design and Construction
• Biomedical Engineering
• Computer Engineering
• Data Engineering
• Electrical Engineering
• Mechanical Engineering
• Software Engineering
• Systems Biology