Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
On campus
Duration
9 credits
Details
Program Details
Degree
Courses
Major
Computer Science | Numerical Analysis
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
On campus
Timing
Part time
Course Language
English
About Program

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.
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