Technology - Data science and statistics

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree, in any field, from a regionally accredited institution.

Applicants must have a minimum of a 3.00 cumulative GPA in the last 60 hours of their bachelor's program. Alternatively, applicants must have a minimum of a 3.00 cumulative GPA in an applicable master's program.

All applicants must submit:

• Graduate admission application and application fee.
• Official transcripts.
• Statement of purpose.
• Writing sample.
• Up-to-date curriculum vitae or resume (optional).

Applicants must respond to a series of questions for the statement of purpose:

1. What specifically attracted you to this program, as opposed to other programs?
2. What would be your ideal career after completing this program, and what about that career appeals to you? Feel free to mention multiple alternatives.
3. In your education thus far, what has been your favorite course or learning experience, and what did you love about it?
4. What is a project you’ve completed, either solo or as a leader of a team, that you enjoyed or you’re especially proud of? Please explain why.
5. Among the attributes, knowledge and skills you’ve already developed, which do you think will be most useful to your graduate school experience? What areas do you think you most need to develop to be successful in your future endeavors?

Applicants must be able to write well and organize their thoughts into a coherent argument. The committee will use your writing sample and answers to the admission questions to determine your writing capability.

Applicants are required to provide a sample of their scholarly writing, preferably a paper they wrote for a college course that is at least 1,500 words (three single-spaced or six double-spaced pages). Your writing sample may be published, but not co-authored, and have a maximum length of 3,000 words.

Note: If a sample of academic writing is not available, then an example of professional writing is acceptable. The piece should demonstrate your ability to present a structured argument and use evidence.

An applicant whose native language is not English (regardless of current residency) must provide proof of English proficiency.

Letters of recommendation are not required; however, they may be submitted if an applicant feels that the recommendation may enhance their file. If an applicant chooses to submit letters of recommendation, there is a strong preference for academic references that can speak to their ability to succeed in a graduate program.

Applicants must have a minimum of a 3.00 cumulative GPA (scale is 4.00 = "A") in the last 60 hours of the student's first bachelor's degree program, or applicants must have a minimum of a 3.00 cumulative GPA (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

• Graduate admission application and application fee.
• Official transcripts.
• Written personal statement.
• Professional resume or curriculum vitae.
• Three academic and/or professional letters of recommendation.
• Proof of English proficiency.

An applicant whose native language is not English (regardless of current residency) must provide proof of English proficiency.

Applicants with international credentials have an application deadline of six weeks prior to the selected session start date. All other applicants have an application deadline of four weeks prior to the selected session start date.

This degree is offered in A and B sessions for fall and spring, and in C session for summer. You can view upcoming start dates in the academic calendar.

How to complete an application

• Submit online application and pay application fee.
• Send official transcripts to ASU’s graduate admission services.
• If needed, send proof of English proficiency.
• If you’re not a U.S. citizen but are living in the U.S., send a copy of your U.S. visa to [email protected].
• If you’re based outside of the U.S., select "JN” under Visa.

For questions, call 1-844-353-7953 or email [email protected].

You must have completed an undergraduate degree in computer science from an accredited university. Please review the necessary CS pre-requisite courses in the section below to confirm eligibility.

GPA requirements

A minimum cumulative GPA of 3.00 in the last 60 credit hours (last two years) of a four-year undergraduate degree. If your degree was completed in the U.S., it must be from a regionally accredited university.

Applicants who have previously completed graduate-level coursework must have a minimum post-baccalaureate/graduate GPA of 3.00.

English proficiency

If all college degrees are from a country outside of the U.S., you may need to demonstrate English proficiency.

Note that the MCS degree requires higher English proficiency scores.

• TOEFL: 575 paper-based / 90 internet-based.
• IELTS (academic version): 7.
• PTE: 65.
• Duolingo: 115.

Don’t yet meet this requirement? If you complete the pathway with a 3.00 or higher, you’ll have demonstrated English proficiency. Click on the nondegree tab below to learn more.

GPA requirements

A minimum cumulative GPA of 3.00 in the last 60 credit hours (last two years) of a four-year undergraduate degree. If your degree was completed in the U.S., it must be from a regionally accredited university.

Applicants who have previously completed graduate-level coursework must have a minimum post-baccalaureate/graduate GPA of 3.00.

Math course requirements:

You must have two semesters of advanced math in Calculus I and Calculus II, as well as a background course in discrete math.*

Applicants with an undergraduate degree in a STEM field have likely completed the math requirement.

*Discrete math is not always a separate class at all universities. Taking a course that covers data structures and algorithms may also fulfill this requirement. If you’ve never done algorithms, you may not have the proper background for the program.

Pre-requisite course requirements:

To be eligible for this program, you must have programming knowledge in a variety of languages, including C/C++, Java, Python and HTML, as well as courses in calculus and discrete math.

CS course information:

CSE 230: Computer Organization and Assembly Language Programming

• Register-level computer organization, instruction set architecture, assembly language, processor organization and design, memory organization, IO programming and exception/interrupt handling.

CSE 310: Data Structures and Algorithms

• Advanced data structures and algorithms, including stacks, queues, trees (B, B+, AVL), graphs and searching for graphs, hashing and external sorting.

CSE 330: Operating Systems

• Operating system structure and services, processor scheduling, concurrent processes, synchronization techniques, memory management, virtual memory, input/output, storage management and file systems.

Principles of Programming Languages OR Introduction to Theoretical Computer Science

CSE 340: Principles of Programming Languages

• Formal syntactic and semantic descriptions, compilation and implementation issues, and theoretical foundations for several programming paradigms.

CSE 355: Introduction to Theoretical Computer Science

• Introduces formal language theory and automata, Turing machines, decidability/undecidability, recursive function theory and complexity theory.

CS competency exams

If you don’t have these topics on your transcript but have a strong understanding of them, you can take the prerequisite knowledge exams. If you complete the exams with the grade outlined in the respective syllabi, you’ll satisfy that prerequisite knowledge requirement.

English proficiency

If all college degrees are from a country outside of the U.S., you may need to demonstrate English proficiency.

Note that the MCS degree requires higher English proficiency scores.

• TOEFL: 575 paper-based / 90 internet-based.
• IELTS (academic version): 7.
• PTE: 65.
• Duolingo: 115.

Don’t yet meet this requirement? If you complete the pathway with a 3.00 or higher, you’ll have demonstrated English proficiency. Click on the nondegree tab below to learn more.

As a nondegree graduate student, you can begin taking graduate-level computer science courses without being admitted to the master’s program.*

Professional certifications

If you’re not sure you want to pursue the full degree or only want to focus on a specific topic, you can pursue a professional certification for ASU credit.

To receive a professional certification, you must successfully complete at least three courses from that topic area with a grade of “B” or better. Available certifications include:

• AI and machine learning.
• Big data.
• Cybersecurity.
• Software engineering.

Learn more about professional certifications.

General pathway

This pathway provides an opportunity to take a variety of courses as a nondegree student to explore topics or meet this program’s GPA and English proficiency admission requirements. Completing nine graduate credits with a “B” or better (3.00 GPA) will demonstrate English proficiency.

Through this pathway, you choose and complete any three 500-level courses that are part of the Master of Computer Science program. The courses you complete in the pathway with a “B” or higher will apply toward the master’s degree in computer science, if admitted within three years of completing courses as a nondegree student. Courses completed as a nondegree student up to 12 credits with a "B" or better will apply toward your MCS degree.

Begin your application for one of the four professional certifications or the general pathway.

The ASU graduate admission office will review the application and notify you by email if any additional steps are required upon admission. All official emails will go to your ASU student Gmail account.

Please note:

• If you don’t enroll in the semester in which you are admitted, you must submit a new application and pay the application fee.
• Completing the pathway or professional certification does not waive the requirement for all applicants to the Master of Computer Science program to demonstrate mathematics and computer science topic prerequisite knowledge. See the admission requirements sections above for more information.

*If you don't have the prerequisite knowledge outlined in the master’s admission criteria for mathematics and computer science, you should be aware that you may not have the necessary background for graduate CSE courses and are enrolling at your own risk. You are responsible for acquiring that knowledge before and during the course.