Master of Science in Construction Engineering and Management

at EDUCO - Stevens Institute of Technology USA

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 ocean engineering master’s program at Stevens is one of only a few in the country. Our world-renowned faculty, state-of-the-art research facilities, strategic initiatives and nationwide partnerships supply graduate students with a wealth of opportunities in oceanography, maritime administration, naval architecture and environmental studies related to our waterways and coastal environments. The marine industry is vast and ever-evolving, with a great deal of opportunity for young ocean engineers to pursue impactful research and innovative careers.

Master's students are encouraged to make contributions to the field while studying. Stevens is known for its award-winning student body, cultivating advancements in predicting extreme weather, mapping currents, protecting communities against environmental hazards and enhancing port performance.

A master's in software engineering centers on building reliable, responsive, safe and secure software systems that propel industry and society forward in an increasingly interconnected world. In our software engineering program, you'll learn about the life cycle process and how to build sustainable products. You'll also acquire the skill sets necessary to design, build, test, and maintain software systems, and to manage software projects with optimal efficiency.

The School of Systems & Enterprises' (SSE's) software engineering students come from varied backgrounds — computer science, general science, mathematics, engineering, business and liberal arts — to develop the intellectual toolkit necessary to become architects and project leaders who can build the software-intensive systems of the future. The master's in software engineering program equips students with advanced knowledge in software architecture, project management, technical planning, risk management and software assurance – areas that are essential in implementing and overseeing software-intensive projects of high technical complexity.

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

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.

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.

The finance world's rapid transition to a digital discipline has created incredible opportunities for experts in computer science, statistics, economics and mathematics to develop solutions to increasingly complex problems, such as how to value an asset, how to assess risk and the smartest ways to manage a portfolio. Quants are some of the most-sought professionals on Wall Street for their coding versatility and ability to model financial data to drive better decision-making.

The Financial Engineering program at Stevens resides in the School of Business, giving it a practical orientation that few other programs offer. Lessons emphasize how technical tools can address specific challenges in the markets, while preparing you to identify inefficiencies, recognize opportunities and develop innovative new products. The Stevens program also recognizes the systemic nature of financial markets and prepares you for the challenges of working in large, interconnected environments.

Get on the fast track to make an impact in one of today’s fastest growing fields with a machine learning master’s degree.

The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.

The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.

Our unique machine learning master’s program develops a thorough understanding of deep learning theory and familiarizes students with the most important paradigms. This allows them to apply or develop the appropriate methods in real-world applications, whether pursuing a career in industry, academia, or research.

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.

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.