Master’s Degree Programs

All MS Programs

• Applied Mathematics

  Students looking to enter or working in a variety of applied math careers such as financial service, investment, data science and high tech, computers information and software, or research will benefit from advanced expertise in state-of-the-art mathematical and computational practices.

• Applied Physics and Engineering

  Physics is paired with one of three concentrations in electrical and computer engineering providing students with practical skills to apply fundamental physics to the development of engineering solutions.

• Bioinformatics

  The degree in Bioinformatics provides cross-disciplinary training in biology, computer science, and informational technology for today’s cutting-edge jobs in the biotechnology and pharmaceutical industries.

• Biotechnology

  This professional science master’s combines advanced interdisciplinary training in biology, chemistry, chemical engineering, and pharmaceutical science with the development of high-value business skills critical to success in today’s dynamic workplace.

• Cell and Gene Therapies

  This innovative nonthesis degree program prepares students for the evolving field of cell and gene therapy medicines. The industry-aligned curriculum provides the knowledge and experience to advance your biotechnology career.

• Chemistry

  This program offers a non-thesis education with diverse courses ranging from clean energy, polymers, materials, medicinal chemistry, bioanalytical chemistry, and chemical biology. Concentrations include analytical chemistry, chemical biology, and chemical toxicology and environmental chemistry.

• Climate Science and Engineering

  Offered jointly by the Department of Civil and Environmental Engineering and the Department of Marine and Environmental Sciences, this program prepares students to tackle the inherently multidisciplinary challenges that climate change presents for both natural and engineered systems.

• Complex Network Analysis (Complex Biological Networks)

  The program equips students with the conceptual and analytical tools needed to find patterns of connections in networked systems and apply these techniques in real-world settings.

• Environmental Science and Policy

  This joint program between the College of Science and the College of Social Sciences and Humanities provides interdisciplinary training and environmental problem-solving expertise to the next generation of environmental professionals.

• Marine Biology

  This full-time 15-month program focuses on building research skills through intensive course and field work. Course work is supplemented by a 6-month internship and research project conducted at leading academic, government, non-profit, and private research institutions.

• Mathematics

  Students advance their knowledge of theory of mathematics and its applications. The program is designed to prepare graduates for the application of mathematics to a broad range of disciplines including business, industry, or government or to further graduate study leading to a PhD.

• Nanomedicine

  This program prepares students to tackle challenges and opportunities in healthcare through hands-on training in nanomedicine research, innovation, and commercialization, along with a full-time co-op experience.

• Operations Research

  This Mathematics based program teaches students how to develop and solve mathematical and computer models of systems using optimization and statistical methods.

• Physics

  This programs provides students an understanding of physics’ basic theoretical structures as preparation for conducting cutting-edge research.

• Statistics – Statistical Theory and Modeling

  This program is designed to provide learners with a solid foundation in applied, modern, and computational approaches to statistical analysis and exposure to the statistical thinking skills necessary to critically assess data and answer business and research questions across domains.

• Statistics (Connect) – Statistical Theory and Modeling

  This program offers comprehensive training in the fundamental principles of machine learning, statistical learning theory, and statistical and probabilistic modeling techniques to analyze and interpret complex data across diverse fields.