Arizona State University (Tempe campus)
Arizona State University (Tempe campus)

Arizona State University (Tempe campus)

1151 S Forest Ave, Tempe, AZ, United States Arizona, Tempe, USA Visit web page

Business Analytics, MS

Study detals

: Master's degree : Business Analytics, MS BABUSANMS : Full time : 9 Month

Requirements

Admission requirements
  • Applicants must fulfill the requirements of both the Graduate College and the W. P. Carey School of Business.
  • Applicants are eligible to apply to the program if they 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. one letter of recommendation
  4. current resume
  5. short-answer question responses
  6. 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.

The letter of recommendation should comment on the student's motivation, commitment, achievements, work experience and opportunity for success in the program.

Complete application instructions may be obtained from the department website.

Speciality

STEM-OPT for international students on F-1 visas

This program may be eligible for an Optional Practical Training extension for up to 24 months. This OPT work authorization period may help international students gain skills and experience in the U.S. Those interested in an OPT extension should review ASU degrees that qualify for the STEM-OPT extension at ASU's International Students and Scholars Center website.

The OPT extension only applies to students on an F-1 visa and does not apply to students completing a degree through ASU Online.

Also available online

Additional information

Program description

Degree awarded: MS  Business Analytics 

Delivered by the highly ranked W. P. Carey departments of Information Systems and Supply Chain Management, the STEM-designated MS program in business analytics builds on the quantitative skills and knowledge needed to advance on the analytics career ladder.

Data is becoming vital to today's world, making business analytics specialists one of the most valuable careers. Students learn to extract value from data, lead data-driven projects and create an overall impact within business organizations. Students can choose from five specializations to deepen their focus in one specific area: big data, cloud computing and tech consulting, fintech, marketing analytics or supply chain analytics.

Two formats are available for the master's degree program. The first pathway is the full-time program --- designed for individuals who want to immerse themselves in full-time graduate studies --- which is a nine-month or 16-month program, depending on the specialization track chosen. The second is the online delivery option in which students deepen their skills in business analytics and learn more about evolving topics in this field. This option is designed for busy working professionals seeking to continue working full-time while attending school.

Accelerated program options

This program allows students to obtain both a bachelor's and master's degree in as little as five years. It is offered as an accelerated bachelor's plus master's degree with:

  • Business Data Analytics, BS
  • Supply Chain Management, BS

Acceptance to the graduate program requires a separate application. Students typically receive approval to pursue the accelerated master’s during the junior year of their bachelor's degree program.

Career opportunities

Graduates have the essential academic preparation required for roles that derive value from data and modeling, lead data-driven analyses and create critical business advantages.

Career examples include:

  • business intelligence analyst
  • computer database architect
  • data analyst
  • IT project manager