Master of Engineering in Chemical Engineering (STEM)

at EDUCO - Stevens Institute of Technology USA

Leading companies are discovering that what’s good for the environment is also good for business—and the demand for qualified sustainability professionals is growing at a rapid rate. The MS in Sustainability Management at Stevens prepares you to meet this demand head-on and equips you with the tools to lead in this new era of sustainable development.

Progress on sustainability requires a holistic approach, with contributors from all areas of expertise, bridging the gap between scientific progress and social implementation. In the sustainability management master’s program, students coming from the humanities, social sciences, business, policy or law will gain advanced knowledge of the science and technology of sustainability to drive action. Students with engineering, design and science backgrounds will develop the soft skills and management abilities required to lead. All students will learn to work effectively across silos and disciplines to lead bigger initiatives for systemic change.

Stevens is also home to a number of world-class research centers where students can engage with advanced innovations in environmental and energy sustainability.

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

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.

The Stevens master's degree in Management helps students with limited exposure to business to round out their résumés with practical instruction that teaches them how leadership, innovation, economics and strategy shape and define the roles they'll play in industry. The Management program can be completed in just 12 months, making it the perfect complement to a four-year bachelor's degree, and is available entirely online for maximum convenience.

Employers see graduates of the Stevens Management program as ideal job candidates who need little training, as their education prepares them to create immediate impact at work.

As new environmental challenges arise—contaminants in drinking water, recovery of resources from wastes—the demand for highly specialized engineers equipped to repair environmental damage and prevent future problems is growing at a rapid rate. The environmental engineering master’s program at Stevens prepares you to design processes that restore air, soil and water quality in contaminated sites with specialized courses of study and strong mentorship from our expert faculty.

Continue or begin your study of environmental engineering in a multifaceted program at a premier research institution where you can work with renowned faculty members engaging in groundbreaking environmental research around the globe.

Concentrations

• Environmental Control Processes
• Groundwater and Soil Pollution Control
• Environmental Management

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.

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 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

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

Intended to meet the need for professionals who can harness complex data and convert it into meaningful information, the Master of Engineering in systems analytics provides students with expertise in visualizing, manipulating and extracting important concepts from systems data, complemented by training in traditional systems decision-making.

The master’s degree equips students with state-of-the art data visualization and knowledge extraction techniques for the purpose of analyzing trends, assessing risk, discovering patterns and building decision models that can better develop, maintain and improve complex engineering systems and enterprises.