Micro-Certificate of Graduate Study in Scientific Computing
Program Overview
Micro-Certificate of Graduate Study in Scientific Computing
The Micro-Certificate of Graduate Study in Scientific Computing is a program designed to equip students with the tools and skills needed to solve complex real-world problems through computational methods.
Program Overview
As science and engineering increasingly rely on simulations, data analysis, and modeling, understanding how to design efficient algorithms and use high-performance computing becomes critical. Scientific computing bridges the gap between theoretical knowledge and practical application, enabling breakthroughs in fields like climate science, bioinformatics, physics, and engineering. Moreover, it fosters analytical thinking and interdisciplinary collaboration, making graduates valuable in both academia and industry where data-driven decision-making is key.
Type of Degree
The program offers a Micro-Certificate of Graduate Study (mCGS) in Scientific Computing.
School or College
The program is offered by the College of Engineering and Mathematical Sciences.
Area of Study
The area of study is Science, technology, engineering, and mathematics.
Program Format
The program is offered in an on-campus, part-time format.
Credit Hours to Graduate
The program requires 9 credit hours to graduate.
Curriculum
The curriculum consists of 1 required core course and 2 electives from a pre-approved list. Students must maintain a 3.0 average in these courses to receive the mCGS-SC.
Required Core Course
- Math/CS 5737: Introduction to Numerical Analysis (3 credits)
- CEE/ME 5980: Numerical Methods for Engineers (3 credits)
Electives
- EE 6130: Convex Optimization (3 credits)
- MATH 6737: Numerical Differential Equations (3 credits)
- ME 5520: Computational Solid Mechanics (3 credits)
- ME 6550: Multiscale Modeling (3 credits)
- ME 5990: Special Topics-Adv Comp Fluids (3 credits)
- Other relevant elective courses (permission by Program Coordinator needed)
Admissions
Any current PhD, MS, or Accelerated MS student at UVM may pursue this program to augment their degree. All existing UVM graduate students with a 3.0 or above GPA who have successfully completed the prerequisites for the two required certificate courses will be admitted into the program.
Outcomes
The program aims to achieve the following outcomes:
- OUTCOME 1: Acquire in-depth knowledge of scientific computing.
- OUTCOME 2: Understand approaches for implementation of these scientific computing methods.
- OUTCOME 3: Gain experience with application of scientific computing methods to real-world problems in science and engineering.
Related Programs
Related programs include:
- Computer Science (M.S., Ph.D.)
- Other graduate programs offered by the College of Engineering and Mathematical Sciences.
