FAQs

Yes, Gonzaga University is accredited by the Northwest Commission on Colleges and Universities (NWCCU).

For more information about accreditation you can go to our accreditation explanation page.

• Official Transcripts – from all universities attended.
• Two Confidential Letters of Recommendation.
• Statement of Purpose.
• Updated Resume or CV.

See our How to Apply page for more details.

Ideally a Bachelor of Science degree in computer science or math will give you the required advanced math skills to be successful in the program.

However, if you have a bachelor's degree in another science or discipline with advanced math skills and programming experience, you may need to take prerequisite courses to be successful in the program.

Please see our curriculum page for more information or talk with our Admissions Specialist who can answer your questions or connect you with faculty.

No, a GMAT or other entrance exam is not required.

You can transfer up to 6 credits from another college or university pending faculty approval.

Jesuits have been educating people since 1540. Gonzaga was founded in 1887 and continues to pursue its mission of educating leaders with the capacity for reflective and critical thought.

Gonzaga's master's programs offer you the opportunity to pursue a degree that strives to educate the whole person: intellectually, spiritually, physically and emotionally.

To learn more about the Jesuit influence at Gonzaga you can go to our mission and values page.

As a Gonzaga student, you are well connected with resources to support you.

Whether it is academic, career or emotional support, Gonzaga is here to help in any capacity. 

Here are some of the resources that may be offered to you:

• Graduate Student Services
• Academic Advising
• Career & Professional Development services for life
• Health & Well-Being
  
  

Every class is designed by our Gonzaga faculty. Most classes are taught by faculty who have a PhD, or Master's degree and deep experience in the data science realm.

There will be up to 15 students in your courses.

You will take two classes each semester in order to graduate in 2 years.

Our courses are 8 weeks in length which is half of a semester. There are two sessions each semester.

You will take three total courses in your last semester, two 8-week courses and one 12 week capstone course.

We do not offer courses in the summer for this program.

You can see a progression plan on our curriculum page.

While we encourage you to come to campus for commencement to celebrate your graduation, the MS in Data Science is designed to be completely online.

You do not have to come to campus for any of your courses.

This program is 4 semesters with summers off.

It is designed to take 2 years to complete.

Our classes are asynchronous, meaning you don’t have to log on at a certain time of day, enabling you to do your course work when it’s convenient to your schedule, following along with your course syllabus and assigned deadlines.

Our classes include reading, research, interactive discussion board posts in your online classroom, projects, possible group projects and writing papers depending on the class.

Yes, you can work full-time and earn your degree.

Classes are 8 weeks long, except for the capstone which is a full 16-week semester.

Students take one class at a time, and two classes for the entire semester, except the final semester in which you will take two 8-week classes and the full semester capstone.

Depending on the class you will likely need 15 to 20 hours a week to complete your coursework, more time may be needed if there is a large project or paper due.

Tuition is $1,400 per credit.

The M.S. in Data Science program is 30 credits.

Tuition does not cover fees, books or other materials required by this program.

While there is not a specific scholarship attached to this program, you can learn more about scholarships on our tuition and financing page.