Computational and Data Science Computational and Data Science

The Computational and Data Science Track is offered through the College of Science.  There are two focus areas within the Track:

  • Applied Mathematics
  • Scientific Computing

Graduate Students in the Computational and Data Science Track take advanced science courses within these two focus areas and choose electives based on their professional goals. These areas of study include:

  • Applied Math
  • Artificial Intelligence and Robotics
  • Computer Aided Design
  • Computer Architecture and High-Performance Computing
  • Computer Graphics and Visualization
  • Digital VLSI Design
  • Financial Math
  • Mathematical Biology
  • Statistics

Program Objectives

  • Provide professional scientists an opportunity to earn a graduate science or math degree that increases their core scientific knowledge and quantitative skills.
  • Develop leadership and management skills that will be highly valued by industry, government, and non-profits.
  • Include a Professional Experience (Internship) project, facilitated by an external sponsor and reviewed by a student’s Supervisory Committee, which integrates the practical application of scientific and professional knowledge.

Program Outcomes

  • Complete a course of study that increases their core scientific knowledge aligned with their professional goals.
  • Complete the Professional Experience (Internship) project, preparing a report for the student’s Supervisory Committee, and publicly presenting a summary of the project.
  • Apply Transferable (Business) Skills to the Professional Experience project.
  • Demonstrate Advanced Quantitative Skills academically and professionally.

The Professional Master of Science and Technology degree is offered through the College of Science and the College of Mines and Earth Sciences and the program is administered through the Graduate School. The PMST Executive Committee consists of representatives from four academic departments and the PMST Program Director.