MS in Business Analytics
Admission
To be admitted to the STEM-designated MSBA program, an applicant must:
- Possess an undergraduate degree in business, engineering, science or related field.
- Have a minimum cumulative GPA of 3.000 (out of 4.000) in their undergraduate degree and submit clear copies of your transcript(s).
- Submit a personal statement that clearly states the applicant’s reason for seeking admission to the program (500 words maximum).
- Submit a professional resume.
- 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:
- ECON 231 Introductory Business Statistics
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 710 | Python Programming for Business | 3 |
BSAN 810 | Business Acumen for Technical Professionals | 3 |
BSAN 775 | Introduction to Business Analytics | 3 |
BSAN 734 | Introduction to Data Mining and Machine Learning | 3 |
BSAN 875 | Advanced Business Analytics | 3 |
BSAN 885 | Business Analytics Capstone | 3 |
BSAN/MIS 750 | Data Visualization | 3 |
ECON 803 | Quantitative Analysis of Business Conditions and Forecasting | 3 |
or IME 880Y | Forecasting and Analytics | |
Electives (6 credit hours) | ||
Select 6 credit hours from the following | 6 | |
ERP: Enterprise Resource Planning | ||
Advanced Machine Learning and Deep Learning | ||
Fundamentals of Cloud Computing | ||
Database Planning & Management | ||
or MIS 600 | 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 | ||
or MATH 646 | Introduction to Mathematical Data Analysis | |
Marketing Analysis | ||
or MGMT 803 | Business Decision Making and Analysis | |
Human Resource Analytics | ||
Any course with program director consent | ||
Total Credit Hours | 30 |
MS in Business Analytics (MSBA) – Data Science Track
Course | Title | Hours |
---|---|---|
Required Courses (24 credit hours) | ||
BSAN/ECON 710 | Python Programming for Business | 3 |
BSAN 810 | Business Acumen for Technical Professionals | 3 |
BSAN 775 | Introduction to Business Analytics | 3 |
BSAN 734 | Introduction to Data Mining and Machine Learning | 3 |
BSAN 735 | Advanced Machine Learning and Deep Learning | 3 |
BSAN 885 | Business Analytics Capstone | 3 |
MATH 646 | Introduction to Mathematical Data Analysis | 3 |
or MATH 746 | Introduction to Data Analytics | |
CS 746 | Perspectives on Data Science | 3 |
Electives (6 credit hours) | ||
Select 6 credit hours from the following | 6 | |
ERP: Enterprise Resource Planning | ||
Data Visualization | ||
Advanced Business Analytics | ||
Database Planning & Management | ||
or MIS 600 | 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 | ||
or IME 880Y | Forecasting and Analytics | |
Any course with program director consent | ||
Total Credit Hours | 30 |
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.