The educational goals of the MDI program are:
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 new 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.
Graduates of MDI will leave the University at Buffalo prepared to work in a wide range of technologies, including microelectronics, aerospace, biotechnology, energy, data analytics and software sectors of the economy. The interdisciplinary training for students will prepare students for a wide array of professional opportunities including careers in research, teaching, business entrepreneurship and public policy.
MDI presently offers MS and PhD degrees. We plan to offer an undergraduate degree program in the coming years. Funding opportunities for graduate students are competitive and prospective applicants are encouraged to follow through with the application process first. Qualified PhD students may be supported financially depending upon the advisor and through other competitive mechanisms.
Yes, absolutely! We welcome students from ALL branches of science and engineering disciplines. Our highly interdisciplinary core curriculum is uniquely designed to fit the diverse backgrounds of our students.
Biology: MDI will teach you how to apply the principles governing the relationship between structure and function in biological systems to a wide array of topics at the nexus of life sciences and materials science, including design of new biomaterials, bio-imaging, biochemistry and biophysics.
Chemistry: MDI will teach you the link between materials chemistry and materials properties, as well as ways to manipulate chemistry to design new materials guided by techniques such as combinatorial chemistry.
Computer Science: MDI will train you in the application of machine learning and data mining methods for materials discovery and design.
Geology: MDI will teach you how to use the fundamentals of geochemistry and geophysics to design and discover new materials based on their behavior under extreme conditions of pressure and temperature associated with geological systems.
Mathematics: MDI will focus on the application of statistics and data science methods to solve problems in materials science and engineering.
Physics: MDI will teach you how fundamental physical properties of materials link to electronic and molecular structure as well as ways to harness the principles of solid state physics for materials discovery using high throughput computational methods and advanced structural probes of materials behavior.
Even if you have a degree in materials science or related fields, you will find in MDI an exciting experiential learning environment that focuses on a systems design approach in materials and provide you with a set of skills unique to our curriculum. These include:
The MS is a 30-credit degree program that can be completed in as few as 12-months based on successful completion of the core curriculum and a project. The PhD program involves completing the core curriculum, a doctoral qualifying exam, a set of elective courses tailored to the student’s research program and a PhD thesis.
Yes, you can apply directly for a PhD program. The designation as a PhD student involves you completing the core MDI courses at a minimum GPA level followed by a PhD qualifying exam based on those courses. PhD students will also interface with UB’s new 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.
All 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 the MS and PhD 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.
Please do not hesitate to contact Prof. Krishna Rajan, Erich Bloch chair of the MDI Department at firstname.lastname@example.org