inline-defaultCreated with Sketch.
inline-defaultCreated with Sketch.
HomeUniversitiesProgramsStudents & Alumni
search
Students
Courses

Statistics and Data Science (Graduate Certificate)

Arizona State University
Tempe , United States
Visit Program Website
Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
About Program
About University
Ambassadors
Gallery
Contact School
Details
Program Details
Degree
Courses
Course Language
English
About Program

Program Overview

Statistics and Data Science (Graduate Certificate)

The statistics and data science certificate program provides statistical training for graduate students at ASU and working professionals in the Phoenix metropolitan area.


Program Description

Data science is developing as an element for success in business and scientific discovery. U.S. News & World Report ranks data scientist as No. 8 in their list of best jobs, based on low stress levels, good work-life balance and solid prospects for advancement. With this certificate, you can apply statistics and data science knowledge in nearly any industry.


At a Glance

  • College/school: The College of Liberal Arts and Sciences
  • Location: Tempe
  • STEM-OPT extension eligible: No

Degree Requirements

15 credit hours


  • Required Core (6 credit hours)
    • STP 530 Applied Regression Analysis (3) (or ECN 525 or IEE 578)
    • STP 531 Applied Analysis of Variance (3) (or IEE 572)
  • Electives (9 credit hours)
    • The nine elective credit hours are taken from a set of courses approved by the School of Mathematical and Statistical Sciences.
  • Students must have a GPA of at least 3.00 (scale is 4.00 = "A") in the courses that apply to the certificate.

Admission Requirements

  • General university admission requirements:
    • All students are required to meet general university admission requirements.
  • Applicants must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.
  • Applicants must have earned a bachelor's or master's degree from a regionally accredited institution.
  • Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
  • All applicants must submit:
    1. graduate admission application and application fee
    2. official transcripts
    3. proof of English proficiency
  • Additional Application Information
    • An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.
    • International students who need an F-1 or J-1 visa need to apply to and be accepted into a graduate degree program before being considered for the certificate program.
    • International students residing in the U.S. on other types of visas must adhere to all Graduate College policies and procedures regarding admission to be considered for this certificate program.
  • Applicants should have completed the following courses (equivalents at ASU are given in parentheses):
    1. introductory applied statistics (ECN 221, STP 226 or STP 420)
    2. one semester of calculus (MAT 210, MAT 265 or MAT 270)
  • Applicants are also required to have some computer literacy, with knowledge of a programming language, a spreadsheet program or a statistical software program.

Tuition Information

When it comes to paying for higher education, everyone’s situation is different. Students can learn about ASU tuition and financial aid options to find out which will work best for them.


Application Deadlines

  • Fall
    • Session A/C | In Person | 07/01 | Final
  • Spring
    • Session A/C | In Person | 12/10 | Final

Program Learning Outcomes

Program learning outcomes identify what a student will learn or be able to do upon completion of their program. This program’s learning outcomes include the following:


  • Apply regression analysis and analysis of variance to analyze and solve real world statistical problems.
  • Apply regression analysis and analysis of variance concepts, and evaluate when these methods are appropriate.

Career Opportunities

Statistical analysis and data mining have been identified as two of the most desirable skills in today's job market.


  • Graduates have knowledge that may be applied in a broad variety of career opportunities in fields as diverse as business, finance, engineering, technology, education, marketing, government and other areas of the economy.
  • These are just a few of the top career opportunities supported by the statistics certificate program:
    • business consultant or analyst
    • data analyst
    • financial analyst
    • market research analyst
    • statistician

Stackable Certificates

Students can complete two graduate certificate programs and combine them into a Master of Advanced Study degree, giving ultimate flexibility to build their own master’s degree. Interested students can learn more about MAS requirements and the admission process.


See More