Master of Science
A Master of Science in Data Science and Analytics online with Mizzou prepares you to understand the data that shapes our data-driven world. From advertising to record systems and predictive models of all kinds, our society is dependent on using big data to analytically solve problems and gain insights into how our world functions. As a result, data scientists are in demand nationwide. Earning your online master’s in data science with Mizzou gives you a competitive edge in the job market.
Throughout the program, you will learn:
- To identify the provenance of data.
- To apply a systematic approach to data use.
- To use data analysis to solve problems.
About the data science and analytics program
This program from Mizzou’s Institute of Data Science and Informatics is meant for students who wish to pursue a master’s in data science without an emphasis area. The program offers a broad base of knowledge in data science and analytics useful in several industries.
The online master’s in data science and analytics culminates in a capstone project. It is a research or business-driven project performed over an entire semester. The purpose is to demonstrate realistic design, management and execution based on certain criteria. You will complete this project in a team and present it together at the end of the semester.
While this degree program does not include an emphasis area, should you later decide to include one, you can easily shift into one of our master’s in data science programs that includes an emphasis.
Quick facts
Official name
Master of Science in Data Science and AnalyticsCampus
Program type
Master's degreeAcademic home
Graduate School | MU Institute for Data Science and InformaticsDelivery mode
100% onlineAccreditation
Higher Learning CommissionCredit hours
30Estimated cost
$32,514.00*This cost is for illustrative purposes only. Your hours and costs will differ, depending on your transfer hours, your course choices and your academic progress. See more about tuition and financial aid.
Career prospects
Obtaining this degree allows you to pursue a career as a:
- Data scientist
- Business intelligence analyst
- Bioinformatics scientist
- Operations research analyst
Program structure
This program is 100% online and requires 30 credit hours. You will complete 16 credit hours of core courses, including five hours of team-based projects and nine hours of emphasis or elective courses
Coursework includes
- Analytics
- Foundational data analysis
- Working with big data
- Data analytics and AI
Review all requirements for the online Master of Science in Data Science and Analytics program.
Delivery
100% onlineCalendar system
Semester-basedTypical program length
2 yearsTypical course load
3 courses per semesterAccreditation
The University of Missouri is accredited by the Higher Learning Commission, one of six regional institutional accreditors in the United States.
Faculty spotlight
Tim Haithcoat has years of experience in developing and managing geospatial technologies in both research and applied environments to the DSA program. His research interests involve applying geographic information approaches for solving real-world application issues and their subsequent accuracy assessment and validation. This applied research supports interdisciplinary research objectives in a range of diverse areas including wildlife biology, broadband access, risk assessment, social and cultural mapping and healthcare assessments.
Edward Mirielli is an assistant teaching professor in the MU Institute for Data Science and Analytics at the University of Missouri. He focuses on applied statistics and the application of computing to the research process. Dr. Mirielli investigates the intersection of demography and epidemiology, utilizing big data analysis to recommend solutions to problems stemming from national health concerns.