How Do I Apply?
Click the “Apply Now” button on the right, which leads to the Unviersity of Missouri’s Office of Graduate Studies website. Once you are there, create an account in order to submit your application for the Masters in Data Science & Analytics program. You should have your documents ready before you begin the application process.
We will continue to accept applications until the program is full or we reach July 15th.
Data Science & Analytics Master’s Program
2-year executive style program | 34-credit interactive online courses | 1 week a year on campus | Approx. $17,000/ year*
Applications will continue to be accepted until the program is full or we reach July 15th.
The MU Master’s of Science in Data Science and Analytics is designed to meet the needs of working professionals. Therefore, all applications are evaluated holistically, with admission being based on previous academic achievement, work experience, and the desire to succeed in the data science field. To be matriculated into the program, applicants must be accepted by the Data Science and Analytics program as well meet the minimum requirements of the Office of Graduate Studies at the University of Missouri.
Students in the MS in Data Science and Analytics program come from a wide variety of academic and professional backgrounds, and therefore enter the program with varying degrees of programming competencies.
Minimum GPA of 3.0 in the last 60 hours of education demonstrate strengths needed to succeed in the DSA, however consideration will be given to GPA’s lower that 3.0 balanced with industry experience.
A bachelor’s degree or its approved equivalent is necessary to pursue graduate work at the University of Missouri.
No GRE (Graduate Record Examinations)
While the Graduate Record Examination (GRE) is not required for entry in the program, applicants are encouraged to provide scores if they feel it will strengthen their application.
“Its online, its very convenient, it’s flexible and at the same time still challenging and you are learning a ton. Just do it!” Jackie Zhao
What do I need to include in my application?
Minimum Requirements to Apply:
Copies of your transcripts from each postsecondary institution attended are required for application consideration. Applicants must submit official transcripts only after being accepted by the program.
The Personal Statement is required for consideration and must succinctly convey the applicant’s interest in MS in Data Science and Analytics program and demonstrate their ability to succeed in a rigorous graduate program
Resume or curriculum vitae that outlines your academic, professional and community service experience is required to spotlight your capacities and your suitability for the program.
Application for consideration requires a $65 application fee for domestic students or $75 for international students.
Preferred Additional Requirements:
Letters of Recommendation
Letters of recommendation are not required for application consideration. However, many students provide one to two letters that demonstrate their ability to succeed in an academic and/or professional environment. Applicants who wish to provide letters of recommendation must do so through Slate, the online application system. Hard copies of letters of recommendation will not be accepted.
Programming and Computational Skills
While knowledge of Python and R is preferred, applicants accepted into the program will have the opportunity to review necessary fundamentals through self-paced online “boot camps” to get up to speed before the start of classes.
“I’ve been in Journalism for 18 years and had to figure out what is next… There was this abundance of data and no one knew what to do with it. Two weeks later I got an email about this new program. It was online and it was something I could do.” Eileen Joyce
“This is something I can do as a totally non-technical person… The program has been very eye opening and challenging in a positive way.” Stephanie Kane
* The University reserves the right to make changes at any time in any or all tuition and fees without advance notice, with all modification of fees to be effective irrespective as to whether fees have or have not been paid by or on behalf of a student prior to the effective date of the modification.