Master’s of Science in Engineering in Scientific Computing
The MSE in Scientific Computing (SCMP) program at Penn provides multifaceted education in the fundamentals and applications of computational science. This education program provides a rigorous computational foundation for applications to a broad range of scientific disciplines. An education in SCMP combines a comprehensive set of core courses centered on numerical methods, algorithm development for high performance computational platforms, and the analysis of large data, and offers flexibility to specialize in different computational science application areas. Students may elect to pursue a thesis in computationally-oriented research within the School of Engineering and Applied Science.
We welcome applications from candidates who have a strong background in physical or theoretical sciences, engineering, math, or computer science. Some experience with computer programming is also strongly recommended.
Program of Study
The ten course units for the Scientific Computing degree are divided into three categories:
- Foundations (two course units)
- Core Requirements (three course units)
- Math: Numerical Methods and Modeling(ENM 502) and
- Technical & Depth Area Electives (five course units).
- Students must choose two courses from Bucket B (Simulation Methods for Natural Science/Engineering)
- Two courses from either Bucket A (Thesis/Independent) or Bucket C (Applications in Natural Science/Engineering)
- One free elective (subject to approval)
Technical and Depth Area Elective (5 CU)
A. Simulation Methods for Natural Science/Engineering
Molecular Modeling and Simulations (CBE 525)
Computational Science of Energy and Chemical Transformations (CBE 544)
Finite Element Analysis (MEAM 527)
Computational Mechanics (MEAM 646)
Atomic Modeling in Materials Science (MSE 561)
Multiscale Modeling of Biological Systems (BE 599)
Mathematical Computation Methods for Modeling Biological Systems (BE 567)
B. Thesis/Practicum (two course units)
Two CU of SCMP 597 or SCMP 599
C. Natural Science/Engineering
Any course in which the primary focus is physical/chemical/biological/mechanical application area that may be studied computationally is allowed, subject to approval
- Dr. Talid Sinno, Director
- Staci Lynn Kaplan, Coordinator
If you have any questions regarding SCMP, please email Staci at firstname.lastname@example.org.
Please visit the Penn Engineering’s Graduate Studies page for information on application materials, application deadlines, and a link to the online application.
Please visit the Graduate Student Center’s page for information on graduate student life and available resources at Penn.