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Graduate: Data and Computational Sciences
- Program Overview
The Certificate in Data & Computation in Science (CDCS) is designed to prepare
graduate students for successful research careers requiring the development,
interpretation, or application of advanced computational and data-centric techniques in
multiple fields of study.
CDCS will provide essential skills and foundational knowledge in programming, data-
science, modern computer science, and applied mathematics, and will enable graduate
students to model data and communicate their science effectively across disciplines,
thereby increasing marketability to employers in government, academia, and industry.
The departments involved are: Applied Mathematics and Statistics, Computer Science,
Economics, Materials Science and Chemical Engineering, Linguistics, Marine and
Atmospheric Sciences, Neurobiology and Behavior, Pharmacology, Physics and
Astronomy, Psychology, Sociology, and Tech & Society.
*Students from other departments may apply but will not be able to receive the
certificate until the department is officially involved. Please note that students may only
transfer in a maximum of six (6) transfer credits.*
The centers involved are: IACS , Alda Center for Communicating Science , and Center
for Inclusive Education (CIE) .
Robert Harrison, IACS L165, 631-632-2347
Graduate Program Director
Alan Calder, IACS L164, 631-632-2336
Graduate Certificate Coordinator
Ann DeGregorio Gardner, IACS L166, 631-632-2345
Advanced Graduate Certificate in Data and Computational Science
PhD and MS/MA matriculated students in the following departments are eligible to participate in the certificate program: Applied Mathematics and Statistics, Materials Science and Chemical Engineering, Computer Science, Sociology, SOMAS, Physics and Astronomy, Neurobiology and
Behavior, Pharmacology, Psychology, Tech and Society, Economics, and Linguistics. Students must have the permission of their advisors and their Graduate Program Directors before enrolling in the certificate program, and they must meet with the IACS Graduate Certificate Coordinator to map out a course schedule. Students must complete, with the requisite signatures, and submit to the Graduate School the form entitled Permission to Enroll in a Secondary Certificate Program.
- Degree Requirements
- 17 credits, courses can be double counted toward the certificate and the student's major
- Three core courses: (1) JRN 501: Distilling Your Message (2); JRN 503 Improvisation for Scientists (3); DCS 521 Introduction to Computational and Data Science (Spring - Students are strongly encouraged to take DCS 521 in their first year of study)
- Students are expected to take at least 3 credits in AMS and 3 credits in CS from the course catalog (cdcse-course-catalog-final.docx).
----- CS students: at least 3 credits in AMS (not crosslisted with CS) and 3 credits in a non-CS crosslisted course in any department
----- AMS students: at least 3 credits in CS (not crosslisted with AMS) and 3 credits in a non-AMS crosslisted course in any department
- Up to 6 credits of courses that are listed in the course catalog from the student's home department can count toward the certificate
CDCS Course Catalog.pdf
The institute is located in the IACS Building, next to the Laufer Center for Physical and Quantitative Biology. Our space houses the institute’s faculty, students/postdocs (circa 45), and technical/administrative staff. The combined resources of the endowment, university and external funding provide for the institute a substantial computational capability (circa 20TFLOP/s) including substantial storage (circa 1Pbyte) and state-of-the-art 10GB networking throughout the building (optical fiber within the building to major hubs across campus). The institute provides to its members office space, office materials and supplies, administrative support, commonly used software packages including select compilers and libraries, technical assistance with computer administration and software installation, and use of the institute’s computer clusters.
Alan C. Calder, PhD, Vanderbilt University, Physics and Astronomy
Barbara Chapman, PhD, Queen’s University, Computer Science
Rezaul Alam Chowdhury, PhD, University of Texas Austin, Computer Science
Marivi Fernandez-Serra, PhD, University of Cambridge, Physics and Astronomy
Robert J. Harrison, PhD, University of Cambridge, Applied Mathematics and Statistics
Jeffrey Heinz, PhD, University of California Los Angeles, Linguistics
Xiangmin Jiao, PhD, University of Illinois at Urbana-Champaign, Applied Mathematics and Statistics
Marat Khairoutdinov, PhD, University of Oklahoma, SOMAS
Predrag Krstic, PhD, City College of CUNY, IACS
Benjamin Levine, PhD, University of Illinois at Urbana-Champaign, Chemistry
Heather Lynch, PhD, Harvard University, Ecology and Evolution
Owen Rambow, PhD, University of Pennsylvania, Linguistics
Matthew Reuter, PhD, Northwestern University, Applied Mathematics and Statistics
Yifan Sun, PhD, University of California, Los Angeles, Computer Science
Jason Trelewicz, PhD, Massachusetts Institute of Technology, Materials Science and Chemical Engineering
Yongjun Zhang, PhD, University of Arizona, Sociology