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 Sciences PhD
    The Computational and Data-Enabled Science and Engineering (CDSE) PhD program is an interdisciplinary program that integrates the core areas of data science, numerical algorithms, and high-performance computing toward research and discovery building on a graduate student’s domain science/discipline.
  • Data Sciences and Applications MPS
    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.
  • Engineering Management ME
    The Engineering Management ME program is a unique opportunity for you to boost your educational credentials and achieve greater success in leadership positions. It is designed specifically to accommodate a wide range of work schedules. Our interactive courses are taught completely online and you can study full-time or part-time depending on your individual needs. Full-time students can complete the degree in as little as one year.
  • Engineering Science (Artificial Intelligence) MS
    The Engineering Sciences MS with a course focus on Artificial Intelligence (AI) is designed to train students in the areas of machine learning, programming languages that are needed to design intelligent agents, deep learning algorithms, and advanced artificial neural networks that use predictive analytics to solve real-world problems.
  • Engineering Science (Clean Energy) MS
    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.
  • Engineering Science (Cybersecurity) MS
    Learn the foundational concepts of cybersecurity and get hands-on experience protecting cyber infrastructures in a wide range of applications, such as healthcare, manufacturing, and transportation systems.
  • Engineering Science (Data Science) MS
    The Engineering Science MS with a focus in 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.
  • Engineering Science (Robotics) MS
    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 Science (Sustainability) MS
    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.
  • Sustainable Transportation and Logistics MS
    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.