Master of Science in Construction Engineering and Management

at EDUCO - Stevens Institute of Technology USA

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.

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 challenges facing managers are increasingly as much about technology as they are about people.

The master’s degree in Technology Management at Stevens is designed to give you the skills and perspective required to lead in environments where technology is central to the mission — and at a pace that's ideal for professionals. Rather than taking classes after a busy day in the office, you'll do so on alternating Saturdays as part of a cohort of experienced professionals. Faculty in this program are particularly distinguished for their corporate experience, and their insights from research and the workplace will prepare you for the challenges of leadership in the digital age.

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.

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.

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 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.

Media and broadcast engineering lies at the intersection of audio/video processing, networking, software design and complex system integration. The media and broadcast engineering master's program provides students with a comprehensive foundation in all aspects of media production, delivery and management, and prepares them for relevant careers as media and broadcast engineers, network managers and developers, streaming media developers and project managers for broadcast networks.

The program provides similar education and opportunities to professionals in the field wishing to enhance their skillsets. It also covers media engineering in emerging media publishing channels such as through the Internet and mobile applications.

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 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.