Master of Sciences in Media and Broadcast Engineering

at EDUCO - Stevens Institute of Technology USA

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

Few MBA programs consider how rapidly the data revolution has changed the ways managers recognize opportunities and identify trends. The Stevens MBA is taught by faculty who understand the traditional managerial toolkit — marketing, strategy and finance — must be complemented by skills in technology and analytics to create success.
Your courses will feature applied exercises that prepare you to be a leader who is capable of making fast, data-supported decisions. Coursework emphasizes collaboration through group projects and presentations, and develops your creativity and critical thinking skills through the incorporation of new analytical tools and the latest research insights.

In the chemical engineering master’s program at Stevens, you’ll have a wealth of world-class resources at your disposal for pursuing the research that interests you most. Our program offers you the best of both worlds: a department with a critical mass of renowned faculty and top-quality research facilities—and an entrepreneurial environment small enough to champion your talent and vision.

Our close-knit, collaborative community of faculty and student scholars works together to advance the rigor and possibilities of our field, with an inclusive spirit that extends new opportunities to all.

This graduate program features unique course electives in biofuels, colloids and interfacial phenomena, processing of polymers for biomedical applications, introduction to pharmaceutical manufacturing and nanotechnology, and more, giving Stevens’ students a broader range of knowledge in the chemical engineering field.

Concentrations

• Chemical Engineering
• Polymer Engineering
• Application of Machine Learning to Pharmaceutical Development

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.

The 30-credit Stevens master's degree in Enterprise Project Management emphasizes a strategic perspective that’s crucial to modern project management. This is a program for the technical professional eager to advance in the organization by directing people, budgets and projects toward completion. Curricular themes in strategic perspectives, project planning and cross-project leadership ensure graduates can direct complex, enterprise-level initiatives. Classes include significant analytical components that will challenge you to think quantitatively about challenges in management.

This program is accredited by the Project Management Institute, the leading organization in project management. Classes taken through Stevens can be applied to Project Management Professional certification or certification maintenance.

The construction engineering and management master’s program is designed to strengthen technical training and develop skills in managing costs, time constraints, quality and safety controls through advanced areas of study and initiatives including experiential learning and engagement with industry.

Stevens is one of just a few universities in the New York area to offer this cutting-edge program – and perhaps the only university in the region with a special focus on mega projects. By the time you graduate, you will have competitive leadership skills to help you pursue an executive-track career in the global construction industry.

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

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.

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.