Multidisciplinary Graduate Programs

How we reach the answer makes all the difference.

Our interdisciplinary approach to education and research in the School of Engineering and Applied Sciences enables a variety of graduate degree programs that go beyond traditional departmental divides. Our multidisciplinary programs include the following offerings:

Computational and data-enabled science and engineering is a new discipline that integrates computing, data sciences, and domain sciences.
The Master's of Professional Studies in Data Sciences and Applications program will train students in analytics, including standard methods in data mining and machine learning, so they will possess the expertise to obtain insights from large and heterogeneous data sets.
The Engineering Management ME program is a unique opportunity for those who want to boost their educational credentials and achieve greater success in leadership positions.
This Engineering Sciences MS with a course focus on Artificial Intelligence is a 30 credit hour multidisciplinary program. It is designed to train students in the areas of Machine Learning, and other AI concepts including the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-world decision-making problems.
The Engineering Science – MS with a course focus in clean energy is an interdisciplinary program intended to train students for careers in the energy sector and the renewable energy industry.
The MS program in Engineering Science with a focus on Data Science provides students with a core foundation in big data and analysis by obtaining knowledge, expertise and training in data collection and management, data analytics, scalable data-driven discovery, and fundamental concepts.
The Engineering Science- MS with a course focus in Robotics is an interdisciplinary program that will train students in robotics and expand knowledge in automation, leading to employment opportunities in automated manufacturing or continued education at the doctoral level.
Engineering Sciences MS with a course focus in Engineering Sustainability is a 1 or 1 and 1/2 year (30 credit hour) multidisciplinary program training students in the core areas of Sustainability Fundamentals, Renewable Energy, Economics, Environmental Quality and Engineering Practice, Ethics and Manufacturing.
Transportation, logistics and supply-chain management represent a field of inquiry with significant impact on businesses and society coupled with significant job opportunities. This master's program is designed to train globally competitive graduates who are well rounded technically and managerially, and who intend to assume leadership positions in transportation and logistics.