Master of Science

photo of a student and professor looking at a laptop

Continue your education with a Master of Science degree with a focus on Computer Science. You can explore the subject by choosing our thesis or non-thesis options.

Areas of Study include

  • Data Science & Big Data
  • Machine Learning and Artificial Intelligence
  • Visualization and Analytics
  • Databases and Data Mining
  • and more

We have a mixture of courses that can be taken during the day, evening, or online, giving working professionals a pathway to earn an advanced degree. When you graduate you will be able to use current computer science techniques to solve a broad range of problems.

Program strengths include

  • Faculty expertise
  • well-equipped laboratory facilities
  • a curriculum that combines theory, software, and hardware
  • opportunities to work with faculty members on research projects


The admission process is competitive, normally you should have:
A Bachelor of Science degree in Computer Science, Computer Engineering, or a related field. We prefer this to come from an ABET accredited program.

  • with at least a GPA of 3.0
  • and at least a combined GRE score of 298 (we recommend this if you are going to apply for graduate assistantships)

The GRE requirement is waived: 

  • for applicants with a Bachelor’s degree in Computer Science or Computer Engineering from Wright State University, and at least a GPA of 3.3
  • for applicants with a graduate degree in a science, math, or engineering field from a U.S.. institution

If you do not meet the admission requirements you may still be considered for admission. We will take into account your current academic achievements when making this decision. This includes the following.

  • an undergraduate GPA of 2.7 and above
  • a minimum undergraduate GPA of 3.0 in the undergraduate level program prerequisites

International Admissions Requirements


Program Prerequisites

At least one year of formal coursework in computer programming. Formal coursework in data structures, computer organization, and operating systems is also required. 

The materials covered in these courses should be equal to Wright State University courses:

  • CS 3100 Data Structures and Algorithms
  • CEG 4350 Operating Systems Internals and Design
  • CEG 3310 Computer Organization

If you do not have a year of formal coursework in computer programming, you may show programming proficiency by:

  • taking an exam upon enrollment
  • OR by taking CS 5160 - Fundamentals of Computer Science.   

Students lacking other prerequisite coursework may be assigned additional prerequisite courses upon admission.

Math Prerequisites:

  • One year sequence in calculus
  • Knowledge of linear or matrix algebra
  • Coursework in probability, statistics and discrete math is preferred

How to Apply

Graduate students should apply for admission through Wright State's Graduate School.

Degree Requirements

The entire program requires no less than thirty (30) semester hours of course work. This includes the computer science core courses, and the completion of the Thesis or Non-Thesis option.

Computer Science and Computer Engineering courses at the 6000 level and above can be used towards your degree.  Program level prerequisites including CEG 6350 Operating System Internals and Design do not qualify.

Core Courses

CS 7200 Algorithm Design And Analysis

Choose one of the following courses

  • CS 7100 Advanced Programming Languages
  • CS 7140 Advanced Software Engineering
  • CEG 7370 Distributed Computing

Thesis Option

  • maximum nine (9) credit hours of thesis
  • minimum sixteen (16) hours of CS courses, including the core courses
  • minimum six (6) hours of 7000-level formal courses in addition to the core
  • maximum three (3) hours of independent study

Non-Thesis Option

  • minimum sixteen (16) hours of CS courses, including the core courses
  • minimum twelve (12) hours of 7000- level formal courses in addition to the core
  • maximum three (3) hours of independent study

If you have been assigned prerequisites during admission into the program these must be completed during the first year of your program.

Course Schedule Planning Guides

 Dismissal from the Program

You can find all admission and dismissal guidelines on the Graduate School Policies and Procedures page.