Schmid College of Science and Technology

Michael Ibba, Ph.D., Dean
Christopher Kim, Ph.D., Associate Dean of Academic Programs
Elaine Benaksas Schwartz, Ph.D., Assistant Dean of External Relations

Professors: Aharanov, Alpay, Caporaso, de Bruyn, El-Askary, Fudge, Gulian, Hill, J., Howell, Ibba, Jipsen, Jordan, Kafatos, Keller, Kim, C., Lyon, Moshier, Panza, Piechota, Piper, Prakash, Sebbar, Singh, Tollaksen, Verkhivker, Warren, Were, Yang;

Research Professor: Napoletani;
Associate Professors: Bisoffi, Bostean, Buniy, Dressel, Hellberg, Pace, Rakovski, Thrasher, Vajiac, A., Vajiac, M., Van der Vossen, Wright;
Instructional Associate Professors: Dunham, Gartner, Rowland-Goldsmith, Schwartz, Toto Pacioles, Zalman;

Research Associate Professors: Kim, S., Ouzounov;
Assistant Professors: Atamian, Castro Lopes, Durcik, Gil-Ferez, Glineburg, Goldsmith, G., Hankins, Hsu, LaRue, Leifer, Liberman-Martin, Lopez, McDavid, McQueen, Miklavcic, Ogba, Owens, Robinson, Tanner, Waldrop, Weissman;

Instructional Assistant Professors: Bonne, Chang, Goetz, Hill, K., John, Lopez Najera, O’Neill, Sherff, Waegell;
Visiting Assistant Professor: Monaghan;

Instructors: Cwik, Dudley, Hunnicutt, Tran;

Presidential Fellow: Fisher.

The Schmid College of Science and Technology prepares students for the complex world of the twenty-first century by challenging them to think critically, participate in research, and engage in outreach through clubs, internships, and volunteer work. The college offers traditional and interdisciplinary degrees and programs designed for students who aspire to become tomorrow’s scientists and leaders in science and technology. The Schmid College of Science and Technology invites students to join its dynamic community of teacher-scholars, researchers, and students.

Degrees

Doctor of Philosophy

Computational and Data Sciences, Ph.D.

Master of Science

Joint Degree Program

Joint Master of Business Administration/Master of Science in Food Science, M.B.A./M.S.

Integrated Program

Courses

Computational Science

Food Science and Nutrition

Math

MATH 580 - Modern Algebra I

Physics

PHYS 520 - Physical Principles of Remote Sensing