Master of Engineering in Environmental Engineering (STEM)

at EDUCO - Stevens Institute of Technology USA

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.

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

The Analytics MBA at Stevens is a STEM program for recent college graduates who have studied a technical discipline, have limited professional experience and want to quickly earn an advanced degree to compete for exciting jobs at the world’s most prestigious companies — where, increasingly, even early-career work requires a master’s.

Here, faculty present traditional themes like strategy, marketing, finance and accounting through an analytical, problem-solving lens, with an emphasis on applying data-intensive methods to industry challenges. And the program’s structure encourages your personal and professional development through career support, mentorship and business immersion.

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 program prepares students with broad coverage of fundamentals as well as state-of-the-art industrial practices in the areas of design, fabrication, integration, and application of microelectronic and photonic devices in communication and information systems. Designed for maximum flexibility, the program accommodates the backgrounds and interests of students with either a master's degree or graduate certificate.

To apply for this program, select "Interdisciplinary Science" or "Interdisciplinary Engineering" on the application, and indicate your desire to pursue the program in microelectronics and photonics on your statement of purpose.?

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 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

In the Stevens civil engineering master's program, you'll gain solid theoretical foundations in your chosen area of concentration and learn the applications of engineering principles through practical real-world projects. As a student, you’ll have a chance to work with leading experts on cutting-edge civil engineering research while building a strong network in one of the largest urban areas in the world.

Concentrations

• Structural Engineering
• Geotechnical/Geoenvironmental Engineering
• Water Resources 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

Concentrations

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

The computer science master’s program at Stevens is designed to meet growing demand for skilled professionals in the development and application of information technology. The program provides a solid foundation in theoretical instruction along with practical applications necessary for industry success. Unique, advanced courses in enterprise and cloud computing as well as secure systems give our students a competitive advantage.

Students will learn to professionally and effectively communicate computer science concepts, designs and solutions throughout this program, as well as obtain specialization in key application domain areas of computer science. Key skills you will learn include how to implement the solution of a computing problem using the appropriate program languages.