St Cloud State University M.S. in Computer Science
St Cloud State University

St Cloud State University

M.S. in Computer Science

St. Cloud, USA

MSc

2 up to

3 years

English

Full time, Part time

Jan 2026

USD 574 / per credit **

On-Campus

* International Outside U.S.: June 15; International Inside U.S.: August 15

** Minnesota Resident and Reciprocity per semester; Non-Resident per semester: $815.55

Key Summary

    About : The M.S. in Computer Science offers a comprehensive curriculum that combines theoretical knowledge and practical skills. Students engage in various topics, including algorithms, software engineering, and artificial intelligence, emphasizing both breadth and depth in computer science. This program typically spans two years and provides students the opportunity to work on relevant projects and research under faculty guidance.
    Career Outcomes : Graduates can explore a variety of career paths, such as software developers, data scientists, and systems analysts. They can find opportunities in technology companies, research institutions, and various industries that require advanced computing expertise. The skills gained through this program prepare students to thrive in a fast-paced, evolving job market.

Today's fast-paced and high-tech world needs innovative thinkers who can effectively come up with creative solutions and effect change on the world. Students of this program enhance and strengthen their advanced knowledge and skills to grow in a career of computer programing, software development, cyber security, and more.

The Computer Science program will introduce you to core areas of advanced computing architecture, advanced operating systems and theories, and algorithms used in computing. You will conduct advanced research in software engineering, systems or artificial intelligence as you learn high-demand skills sought by industry.

Program Highlights

  • State-of-the-art computing facilities including the Integrated Engineering Science and Laboratory Facility (ISELF) Visualization Lab, Sunfire 280R running Solaris, several workstations running Windows and Linux and supercomputing facilities in the Twin Cities.
  • Five to seven graduate assistantship positions offered each year.
  • Research and project labs are equipped with Sun, Silicon Graphics and DEC Alpha workstations.
  • The program is offered for part-time or full-time students.

Program Distinctions

  • Graduates have gone on to work for Amazon, Google, Guidant, Medtronics, IBM, Beckman Coulter, and Thomson Reuters among others. They have also continued on to Ph.D. programs where they have been awarded assistantships.
  • Taught by 13 internationally-recognized faculty members.

University Facts & Statistics

  • 90 graduate programs leading to graduate certificates, master’s and doctoral degrees
  • More than 300 graduate assistantships awarded per year
  • Graduate assistants receive up to a $9,250 stipend per year and tuition reimbursement for up to eight graduate credits per semester.

Requirements and Details

The GRE is required.

  • A strong showing (more than 75th percentile) in the quantitative GRE score is essential.
  • A strong score in the verbal section is also important.

Admission is competitive.

Positive letters of recommendation are important, as is a solid undergraduate academic record.

Lack of a computer science background is usually not a major concern since prerequisite courses are prescribed. However, a background in the sciences and mathematics is essential.

Admission decisions are made at specific times associated with the application deadlines, usually in the week following the deadlines.

A final admission decision may take up to three weeks to receive from the application deadline and up to ten weeks for I-20s to be issued to international students.

Fully-qualified applicants will have taken courses that cover the following topics:

  • Non-linear data structures: sorting and searching algorithms.
  • Computer architecture: hardware organization, I/O interface, interrupt mechanisms and pipeline processor design.
  • File systems; hashed indexed, ISAM files; B-trees; external sorting.
  • Programming languages: design and implementation.
  • Operating systems: process, memory and file system management, device handlers.
  • Finite mathematics and modern algebra.