Graduate Education

Students and faculty in materials lab.

The Materials Design and Innovation department emphasizes a data driven perspective of materials discovery and design. We offer unique graduate programs that use materials informatics to link the experimental and computational perspectives of materials science and engineering.

On this page:

MS program

Program Overview

Our masters program is designed to educate individuals so that they have disciplinary knowledge and expertise in materials science and data science. Students are trained to have interdisciplinary perspectives and the necessary skills and tools to be able to understand and apply computational tools for modeling, simulation and informatics, together with experimental driven science so that they have the ability to contribute to and work to accelerate the pace of materials discovery and engineering design.

Learning Outcomes

  • Students will have disciplinary knowledge in the areas of materials science and data science.
  • Students will have the awareness and ability to query and work with databases in materials science.
  • Students will acquire operational skills in statistics and data mining methods as applied to materials science.
  • Students will have the ability to use computational methods in the analysis of experimental and/or simulation data.
  • Students will develop relevant scientific literacy and have the ability to communicate in written and verbal formats.

PhD program

Program Overview

The curriculum consists of the traditional and classical core foundations of materials science subjects but taught from the perspective of statistics, interpretation of databases and data mining methods. Beyond these core foundations, new distinctive courses in materials science that cover materials informatics, advanced computing methods and machine learning, robotics for materials engineering and an integrated “atoms to device” experimental development laboratory are offered. PhD students will also interface with UB’s Computational Data-enabled Science and Engineering graduate program, providing intensive training in all facets of computational data science that would be of value to both experimental and computational materials scientists.

Learning Outcomes

  • Students will have in-depth knowledge in the areas of materials and data sciences, as well as well as the knowledge needed to integrate these fields.
  • Students will have the critical thinking skills to define a research question and an appropriate strategy for developing a viable research proposal.
  • Students will learn how to identify a materials science problem, either computational or experimental, and how an interdisciplinary approach that includes data analytics can find a solution to that problem.
  • Students will develop familiarity with the interrelationship between experimental and computational perspectives of any given research problem in materials science.
  • Students will have the ability to learn to clearly write and verbally present advanced scientific concepts.
  • Students will have an understanding of the broad skills needed to advance their careers and some proficiencies in those skill-sets.

Admissions Requirements

Applicants must complete an online application, upload transcripts, and provide a personal statement and resume. GRE scores are required for admission to the PhD program. Letters of recommendation are required for all MDI graduate programs. International students are required to submit proof of English language proficiency.

Applications are strongly encouraged to be submitted by February 15th to receive full consideration for Fall entry.

Application Materials

  • Application Form
  • Application Fee ($85)
  • Personal Statement
  • College Transcripts
  • Letters of Recommendation (3)
  • Curriculum Vitae/Resume
  • GRE Scores (not required for current UB undergrads)
  • English Proficiency Scores (for International Students only)
  • Financial Form (for International Students only)
Are you unable to take the IELTS, PTE or TOEFL?

If you are not able to take the IELTS, PTE or TOEFL tests because they are cancelled due to the Coronavirus (COVID-19), the University at Buffalo will accept the Duolingo English Test (DET) for proof of English proficiency. This test can be taken online, in your own home.

Learn more about UB English language proficiency requirements