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The University of Missouri’s Master of Science in Data and Analytics ​degree is a 34-credit, online and mixed mode delivery, multidisciplinary program. We welcome students with different academic backgrounds to become productive data scientists in Missouri and regionally connected industries. Our program reflects the evolving fields of data science by providing unique curriculum emphases in several different disciplines.

Degrees Offered

Data Science and Analytics, Master of Science

Requires Campus Visits

The program offers a Master of Science in Data Science and Analytics with emphasis areas in Biotechnology, High Performance Computing, Human Centered Science Design or Strategic Communications and Data Journalism.

Admission Criteria

Fall deadline: June 30

Minimum English Proficiency Requirements

Test TypeTotal ScoreReadingListeningSpeakingWriting
TOEFL Internet -based8017171717
TOEFL Paper-based5505252N/A52
IELTS Academic6.56666

Required Application Materials

For the Office of Graduate Studies

  • Completed Graduate Studies online application
  • Unofficial Transcripts- As part of the application submission process, all applicants are required to upload unofficial copies of all post-secondary transcripts to the online application. Official transcripts are only required if accepted by the academic program.
  • Official Results of English Proficiency Exams (International applicants only)

For the Data Science and Analytics Program

  • Resume
  • Letter of Interest

Data Science and Analytics, Graduate Certificate

On Campus Requires Campus Visits

Officially approved as:

Stand Alone: No
Degree Dependent: Yes

Total Credit Hours:  15

Certificate description: The objective of the Graduate Certificate in Data Science and Analytics is to enable students from multiple different graduate programs at the University of Missouri to receive education and training in the emerging field of Data Science. Data science skills are increasingly necessary for all fields of advanced study due to the emergence of large scale data and the incumbent challenges across academia and industry. This certificate will also support the University of Missouri’s strategic goals of increasing interdisciplinary approaches to problem solving.

At the conclusion of the Graduate Certificate in Data Science and Analytics, students will:

  1. Have experience in applying state-of-the-art data science tools and techniques to solve industry, academic and/or business data and decision-making challenges.
  2. Have a comprehensive understanding of modern data analytics, statistical analysis, and visualization tools that facilitate timely, large data analysis.
  3. Be able to effectively communicate to a broad audience the relevant information derived from large data collections using a variety of visualization and presentation methods.
  4. Understand the fundamental and advanced statistical and mathematical principles upon which advanced data analysis techniques are built.

Certificate web site:
Not created at this time

For information about certificate, contact:
Dr. Grant Scott and Dr. Sean Goggins, Directors for the Data Science and Analytics Program

Email:   
Phone:  (573) 884-6077
Address:  241 Engineering Building West, University of Missouri