Multidisciplinary Graduate Programs

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.

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 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.

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.

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.

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.