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:
- Foundation Courses (two course units)
- Programming Languages & Techniques (CIT 590) or Introduction to Software Development (CIT 591), and
- Algorithms & Computation (CIT 596)
- Core Requirements (three course units)
- Math: Numerical Methods and Modeling (ENM 502) and
- Big Data Analytics (CIS 545), and
- Mining and Learning: Intro to Machine Learning (CIS 519) or Machine Learning (CIS 520) or Modern Data Mining (STAT 571), or Data-driven Modeling and Probabilistic Scientific Computing (ENM 531), or Data Mining: Learning from Massive Datasets (ESE 545)
- Technical & Depth Area Electives (five course units).
- Two courses in which the primary focus is simulation methods for natural science/engineering. Examples include:ESE 503, MSE 561, BE 559, CBE 525, CBE 544, MEAM 527, MEAM 646, ENM531, ENM540, ENM522, CIS580, CIS581, BE537/CIS537, CIS535/GCB535/MTR535/PHRM 535, CIS536/BIOL536/GCB536, CIS537/BE537, AMCS568/BIOL56, Program Director approval required
- Two courses either Thesis/Independent study or Applications in Natural Science/Engineering
- One free elective (subject to approval)
If you have any questions regarding SCMP, please email Katie Thompson at firstname.lastname@example.org.
- Penn’s COVID-19 Vaccination FAQ
- Graduate Admissions
- Graduate Center at Penn
- Graduate Student Handbook
- Graduate Academic Calendar
- ISSS (International Student & Scholar Services)
- Student Registration and Financial Services
- A comparison between Scientific Computing and Data Science
- Highlighted Funding Opportunities
For matriculated students who have their Pennkey and password