MS in Business Analytics

Admission 

To be admitted to the STEM-designated MSBA program, an applicant must:

  1. Possess an undergraduate degree in business, engineering, science or related field.
  2. Have a minimum cumulative GPA of 3.000 (out of 4.000) in their undergraduate degree and submit clear copies of your transcript(s). 
  3. Submit a personal statement that clearly states the applicant’s reason for seeking admission to the program (500 words maximum).
  4. Submit a professional resume.
  5. Meet the minimum TOEFL and IELTS requirements set by the WSU Graduate School (only for students with English as a second language).

International applicants needing an F1 visa must also provide documentation for financial support.

Application Deadlines

  • Fall Admission: March 1
  • Spring Admission: September 1 
  • Summer Admission: no admission

Space in this program is limited. Applicants must complete all required application material by the priority deadline listed above for the semester in which they desire to enroll. Not completing and submitting the required materials by the semester deadline will prevent them from being considered for admission for that semester. Consideration of candidates will continue until the program is full.

If admitted to the program, international students must arrive early in the USA before the semester starts so they can clear their international holds and enroll in classes in a timely fashion. Classes start on time and fill up quickly, so late arrivals may not be able to enroll in the allowable number of classes as per their visa regulations.

Program Requirements

The program is designed to attract a wide range of domestic and international professionals. The curriculum focuses on developing contemporary competencies via innovative hands-on activities and industry practices. To serve the needs of professionals in the field, the MS in business analytics program offers two tracks— management and data science:

  • Management Track focuses on developing capabilities and mastery in leading analytics initiatives.
  • Data Science Track aims to impart mastery in use of innovative tools and techniques in data analytics.

The program is a 30-credit-hour program. Students are required to complete eight required courses (24 credit hours) and two elective courses (6 credit hours) from an approved list.

Prerequisite Course

All students admitted to the MSBA program must have a statistics foundation course from their previous studies or must take the following course in their first semester when they enroll:

Substitute for Required Courses

There are two required MSBA courses, see below, that may be substituted for elective courses under the following conditions:

  • BSAN/ ECON 710 Python Programming for Business: This course can be substituted for an elective if students took an equivalent 3 credit hour course in their previous studies.
  • BSAN 810 Business Acumen for Technical Professionals: This course will be substituted for an elective if students have an undergraduate degree in business or MBA from a U.S. accredited school.

Substitutions are granted by the program director in the first semester when students enroll and upon showing their official transcript during orientation. This substitution will also be reflected on the student’s Plan of Study.

MS in Business Analytics (MSBA) – Management Track

Course Title Hours
Required Courses (24 credit hours)
BSAN/ECON 710Python Programming for Business3
BSAN 810Business Acumen for Technical Professionals3
BSAN 775Introduction to Business Analytics3
BSAN 734Introduction to Data Mining and Machine Learning3
BSAN 875Advanced Business Analytics3
BSAN 885Business Analytics Capstone3
BSAN/MIS 750Data Visualization3
ECON 803Quantitative Analysis of Business Conditions and Forecasting3
or IME 880Y Forecasting and Analytics
Electives (6 credit hours)
Select 6 credit hours from the following6
ERP: Enterprise Resource Planning
Advanced Machine Learning and Deep Learning
Fundamentals of Cloud Computing
Database Planning & Management
Database Management Systems
Finance Analytics: Contemporary and Traditional Topics
Advanced Investment Analysis and Portfolio Management
Project Management
Perspectives on Data Science
Supply Chain Analytics
Analytics and Decision Making In Sport
Introduction to Data Analytics
Introduction to Mathematical Data Analysis
Marketing Analysis
Business Decision Making and Analysis
Human Resource Analytics
Any course with program director consent
Total Credit Hours30

MS in Business Analytics (MSBA) – Data Science Track

Course Title Hours
Required Courses (24 credit hours)
BSAN/ECON 710Python Programming for Business3
BSAN 810Business Acumen for Technical Professionals3
BSAN 775Introduction to Business Analytics3
BSAN 734Introduction to Data Mining and Machine Learning3
BSAN 735Advanced Machine Learning and Deep Learning3
BSAN 885Business Analytics Capstone3
MATH 646Introduction to Mathematical Data Analysis3
or MATH 746 Introduction to Data Analytics
CS 746Perspectives on Data Science3
Electives (6 credit hours)
Select 6 credit hours from the following6
ERP: Enterprise Resource Planning
Data Visualization
Advanced Business Analytics
Database Planning & Management
Database Management Systems
Fundamentals of Cloud Computing
Finance Analytics: Contemporary and Traditional Topics
Advanced Investment Analysis and Portfolio Management
Big Data Analytics in Engineering
Neural Networks and Machine Learning
Computer Integrated Manufacturing
Marketing Analysis
Quantitative Analysis of Business Conditions and Forecasting
Forecasting and Analytics
Any course with program director consent
Total Credit Hours30

Applied Learning 

Students in the Master of Science in business analytics program are required to complete an applied learning or research experience to graduate from the program. This requirement can be met by completion of BSAN 885 Business Analytics Capstone.