Master of Science in Machine Learning (STEM)

at EDUCO - Stevens Institute of Technology USA

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 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 computer engineering master’s program prepares students for specialization in computer systems, real-time and embedded systems, data communications and networks, digital system design, image processing and multimedia, information systems, information systems security and intelligent systems. The program trains students for careers in the computer engineering field requiring advanced and specialized knowledge. By the end, you’ll have impressive accomplishments in hardware and software development under your belt — as well the highly respected reputation of a Stevens engineering degree.

Concentrations

• Embedded Systems
• Software and Data Engineering
• Networks and Security
• Artificial Intelligence

The robotics master’s program at Stevens, offered by the Department of Mechanical Engineering, gives students an edge in a competitive and multidisciplinary profession where a mastery of modeling, design, research, and implementation skills is just as important as the next big idea.

This distinctive master’s degree program exposes students to both the mathematical foundations of robotics, and relevant hands-on laboratory projects in robotics and mechatronics. The robotics master's degree program integrates the study of fundamentals in robot modeling, analysis, design, and control with modern and advanced applications of robotics technology to meet today’s specialized needs within the industry. The curriculum is designed to ensure that graduating students are well-prepared for a future that will increasingly demand multidisciplinary training for engineers, especially for careers involving robotics, automation, and autonomous and intelligent systems.

Robotics graduates will be prepared to solve complex engineering problems, position emerging technologies, lead the development of high-quality products, manage projects and maintain exacting standards in a fast-evolving economy.

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

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 cybersecurity master’s program is designed for security professionals who seek an in-depth understanding of the technical knowledge related to information security as well as an appreciation of the organizational, social, managerial and legal aspects of security and privacy.

Cybersecurity is a high-growth field currently experiencing a demand far greater than the supply of trained professionals available. The White House has reported that in the coming years as many as 30,000 new cybersecurity professionals are needed by the United States government alone.

New developments in robotics, internet security and wireless networking are often the result of hardworking electrical engineers. Graduate study in electrical engineering can lead to fascinating and lucrative careers in industry, government or business, as well as further study in a doctoral program.

At Stevens, graduate students participate in cutting edge faculty research projects funded by the National Science Foundation, Air Force Research Laboratory, Office of Naval Research and various private organizations.

Concentrations

• Communications
• Power Engineering
• Robotics and Automated Systems
• Microelectronics and Photonics
• Artificial Intelligence

The materials science and engineering master’s program offers both Master of Engineering and Master of Science degrees designed to foster independent scholarly work while providing flexibility to accommodate your interests and career goals.

Each of the materials science and engineering master’s programs immerses students in a dynamic and collaborative learning environment focused on innovative research. As a student, you will receive a solid foundation in the fundamentals of materials science and investigate important current topics in energy, biomedicine and nanotechnology.

Concentrations

• Interdisciplinary Nanotechnology (CEMS, CCB, ME, PHY)
• Interdisciplinary Microelectronics and Photonics (CEMS, ECE, PHY)
• Materials Technology for Energy and Sustainability

Solidify your mathematical foundations and learn to apply advanced math with problem-solving in the mathematics master’s program.

Practical mathematics can be found in nearly every corner of the known universe and in many industries. Integral to the fields of natural science and engineering, mathematics often leads to new discoveries in business and technology.

At Stevens, the mathematics master’s program approaches inquiry and research with a focus on pure mathematics. Pure mathematics investigates fundamental topics in math theory, analysis and calculation, and this program offers collaborative, cross-disciplinary opportunities through research and electives. Subjects examined throughout this program include complex algebra, probability, combinatorial analysis, topology and stochastic processes. Students will learn to effectively use and understand advanced mathematical techniques, such as those emerging in data science.