Business Analytics, MS
Business analytics, Supply Chain Management, information systems
Be a leader in data and analytics with a W. P. Carey MS business analytics degree. You'll gain the technical skills and experience to advance your career after graduation. Learn to derive value from data and modeling, lead data-driven analyses and create a critical business advantage.
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 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.
Two pathways are available for the master's degree program in business analytics. The first pathway is the nine-month full-time program, and it is designed for individuals who want to immerse themselves in full-time graduate studies. 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.
As a STEM-designated master's degree, the program allows eligible graduates on student visas access to an Optional Practical Training extension for up to 36 months, helping international students gain additional skills and experience in the U.S.
Los Angeles location: Currently, programs of study are offered in a hybrid learning model. Select courses are offered through in-person instruction in the Herald Examiner building. The majority of courses are offered virtually from Arizona through a combination of synchronous and asynchronous learning technologies. Students should consult their advisor and schedule of classes for additional information.
Students can choose to create their own concurrent degree combination to match their interests by working with their academic advisor during or after their first semester of study. Some concurrent combinations are not possible due to high levels of overlap in curriculum; students should speak with their academic advisor for more details.
This degree is also offered as a concurrent program with the following:
30 credit hours including the required applied project courses (SCM 593 and CIS 593)
Required Core (6 credit hours) Restricted Electives (21 credit hours) Culminating Experience (3 credit hours) Additional Curricular Information
CIS 508 Data Mining I (3)
SCM 517 Data-Driven Quality Management (3)
CIS 505 Introduction to Enterprise Analytics (3)
CIS 509 Data Mining II (3)
CIS 515 Business Analytics Strategy (3)
CIS 560 IT Services and Project Management (3)
MKT 591 Topic: Marketing Analytics (3)
SCM 516 Descriptive and Predictive Supply Chain Analytics (3) or WPC 501 Statistics for Business (2.5)
SCM 518 Analytical Decision Modeling I (3) or SCM 515 Decision Models for Supply Chain Management (3)
SCM 519 Analytical Decision Modeling II (3)
SCM 587 Project Management (3)
CIS 593 Applied Project (1.5)
SCM 593 Applied Project (1.5)
Students choose courses totaling at least 21 credit hours from the restricted electives list. If approved by the academic unit, other courses may be used.
Required Core (6 credit hours)
Restricted Electives (21 credit hours)
Culminating Experience (3 credit hours)
Additional Curricular Information
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 applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.
All applicants must submit:
- graduate admission application and application fee
- official transcripts
- GMAT or GRE test scores
- one letter of recommendation
- current resume
- short-answer questions
- proof of English proficiency
Additional Application Information
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency.
The letter or 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.
ASU offers this program in an online format with multiple enrollment sessions throughout the year. Applicants may view the program description and request more information here.
|Session A/C||In Person||11/28||Priority|
The Master of Science program in business analytics includes the essential academic preparation for roles that derive value from data and modeling, lead data-driven analyses and create critical business advantages.
The U.S. Bureau of Labor Statistics' Occupational Outlook Handbook (2019) states, employment for Business Intelligence Analysts is projected to grow between 7% and 10% between 2018 and 2028, faster than average.
Career examples include:
- business intelligence analyst
- computer database architect
- data analyst
- IT project manager