Skip to main content
Current StudentsFaculty/StaffmyOKSTATEDirectory
Quicklinks
/
Search
Apply
Close
Search
DirectoryA-Z Site Index
Quicklinks
Logins
myOKSTATEEmailO-Key AccountCanvas
Academic Schedule
Academic CalendarCatalogClass ScheduleRegistrar
Places & Departments
BookstoreBursarIT HelpdeskLibraryParking & TransitStudent Union
Trending Now
OSU CalendarCampus Map
Go back to top of page
Open Main MenuClose Main Menu
About OSU Academics
UndergraduateAcademics
Graduate and ProfessionalEducation
OnlinePrograms
Admissions
UndergraduateAdmissions
GraduateAdmissions
Cost & Aid Student Life Research
About OSU Academics
UndergraduateAcademics
Graduate and ProfessionalEducation
OnlinePrograms
Admissions
UndergraduateAdmissions
GraduateAdmissions
Cost & Aid Student Life Research Apply to OSU
Current StudentsFaculty/StaffmyOKSTATEDirectory
Search
DirectoryA-Z Site Index
Quicklinks
Logins
myOKSTATEEmailO-Key AccountCanvas
Academic Schedule
Academic CalendarCatalogClass ScheduleRegistrar
Places & Departments
BookstoreBursarIT HelpdeskLibraryParking & TransitStudent Union
Trending Now
OSU CalendarCampus Map
Go back to top of page
Students sitting at a table outside of the business building.

Master's in Business Analytics and Data Science

The MS in Business Analytics and Data Science (MS BAnDS) is a STEM designated program that develops the next generation of analytics and data science professionals to tackle real-world challenges. In 2022-23, our program was ranked No. 15  by Fortune’s Best Master’s Programs in Data Science and as 19th in the TFE times ranking of Master’s Programs in Business Analytics. We use state-of-the-art enterprise level analytics software. The program is fully multi-platform and students get hands-on training with software and tools such as Alteryx, Azure, Data Bricks, GCP, Power BI, Python, R, SAS, SQL, Snowflake, Tableau and Tensor Flow which provide great advantages in the competitive job market.
Apply Request more information

Curriculum

The MS BAnDS program requires 38 credit hours* (check our Plan of Study page for core course details, electives and software used in each core course) and graduates typically find employment as data scientists, data/business analysts or consultants, or statistical analysts. Beyond core courses, all students have the choice of specializing in various pre-approved options or creating a completely customized set of electives to fit their career goals. While the full-time program is designed to be 21 months, it is crafted in such a way to allow students to pursue flexible internships/externships with companies that can last from 3 to 11 months in the last year of a student’s program.


Research and Faculty

OSU faculty, including Dr. Goutam Chakraborty, director of the MS-BAnDS program and chair of the SAS Global Forum 2018, are recognized nationally for their expertise in the field. 

 

Meet our Departmental Faculty

 

OSU students attend some of the top analytics conferences across the United States, and many are given the opportunity to present papers, often winning or placing among the best.

 

Admissions

Admissions are decided on a holistic approach with successful candidates meeting the following preferences:

  • GMAT or GRE are required with minimum recommended scores above the 51st percentile in each of the test areas. Waivers may be possible for US citizens or, for those applying for online program on a case-by-case basis. Contact the program coordinator with your resume to see if you qualify for GRE/GMAT waiver.
  • Work experience is considered during the application review process and is strongly encouraged for all candidates.
  • Priority deadline, Jan. 15; Final deadline, March 1. Admissions is for the Fall semester only for on-campus students. Applications completed after the final deadline will be considered based on availability (for domestic students only).
  • For international students, a TOEFL or IELTS score may be required for admission to OSU, as indicated by the Graduate College. If a TOEFL/IELTS is required, the minimum TOEFL score for admission is 89 iBT and the minimum IELTS score is 6.5. The completion of an undergrad degree prior to enrollment in our program is required.
  • Personal statement.
  • 3 letters of recommendation.

Frequently asked questions

 

Cost & Assistance

Cost for each program will vary depending on credit-hours taken, scholarship funding, assistantships and financial aid. Complete the Free Application for Federal Student Aid (FAFSA) to calculate eligibility for aid. Students planning to enroll under F-1 visa status should not complete the FAFSA, although eligibility for merit and need-based aid will be further determined through a process provided by the program post-admission.  

 

Assistantships vary by department. Please contact the program coordinator for information on assistantships and funding opportunities. 

 

Cost

Scholarships

 

MENUCLOSE