The University of Wisconsin-Eau Claire's master of science in data science is a fully online degree program intended for students with a bachelor’s degree in math, statistics, analytics, computer science or marketing; or three to five years of professional experience as a business intelligence analyst, data analyst, financial analyst, information technology analyst, database administrator, computer programmer, statistician or other related position.
The rigorous program is the first online master's degree in data science offered in the UW System and is helping fill a critical need for data scientists. Using analytics, statistics, programming, business and storytelling, data scientists have the unique and important job of transforming big data into actionable insights. The field is already growing at an incredible pace, and as today's world continues to generate more and more data, employers across the country are in consistent need of professionals who know how to understand and interpret data.
Designed with input from industry leaders, the data science program offers a comprehensive, multidisciplinary curriculum grounded in computer science, math and statistics, management and communication. Coursework throughout the degree will show you how to clean, organize, analyze and interpret data using current industry tools and analytical methods. Since data scientists must also understand privacy and security policies, part of the curriculum throughout the program focuses on how to appropriately handle data found in financial records, medical records, consumer patterns, internet searches and other real-world situations — knowledge that is needed in countless industries and organizations.
Graduates of the data science graduate program leave with the knowledge, skills and tools necessary to mine data sets, find patterns and communicate ways to make use of the findings. The intensive program prepares you for expertise in a number of specialized areas — including data mining and warehousing, predictive analytics, statistical modeling, database infrastructures and data management, machine learning and analytics-based decision making — making you a versatile and highly sought-after employee.
There are a number of scholarships, assistantships, fellowships and grants available to our graduate students, including those studying data science. Learn more about what resources are available to you by checking out our scholarship page.
Financial aid at UW-Eau Claire
Working to make your education affordable is very important to us. We are here to walk you through the financial aid process and make applying for aid and paying your bill as easy as possible. To get this process started, please contact our staff at Blugold Central — our one-stop shop for tuition and financial aid.
Learn more about our financial aid process at UWEC.
Data science master's degree program details
- Offered: 100% online
- Credits: 36
- Program cost: $850 per credit
Wisconsin is a SARA state (State Authorization Reciprocity Agreement) and the University of Wisconsin-Eau Claire is a SARA-approved institution.
Rigorous instruction from expert faculty. Throughout the data science program, you'll learn from diverse, distinguished faculty members from across six University of Wisconsin campuses and the University of Wisconsin-Extension. Their expertise, combined with UW Extended Campus' award-winning instructional and media design, ensures a rich and engaging educational experience that will prepare you well for your future career.
Training on the latest software. While working toward your degree, you'll have direct access to the field's latest technology, including powerful tools like SQL Server, R, Python and Tableau. This knowledge and experience will give you a competitive advantage when applying for jobs or transitioning into more executive roles within your current organization.
An affordable education. Students in the data science program can take advantage of affordable tuition that compares favorably to competing graduate programs from other institutions. Like other collaborative online University of Wisconsin programs, students pay the same tuition whether they live in Wisconsin or elsewhere.
Flexible, online format. The data science master's degree program is a completely online professional degree program, allowing maximum flexibility for busy adults. This convenient format allows students to continue working while earning their data science degrees.
Input from industry experts. The data science degree was intentionally designed with significant input from businesses and industry leaders, ensuring curriculum aligns with employer needs. An industry advisory board consisting of leading organizations — including American Family, CUNA Mutual Group, Nicolet Bank and TDS Telecom — provides further insights into what organizations are looking for and what the field needs right now.
Data science graduates enter a quickly growing field where demand is high for professionals who know how to transform complex data sets into actionable information and competitive advantages. And because data scientists are needed in virtually every sector, our Blugolds have no problem finding jobs upon graduation. Explore opportunities in manufacturing, construction, transportation, warehousing, communication, science, healthcare, computer science, information technology, retail, sales, marketing, finance, insurance, education, government, law enforcement, security and so much more.
Data science jobs
- Data scientist
- Data or research analyst/manager
- Data warehouse architect
- Enterprise strategy consultant
- Business intelligence manager/analyst
- Hadoop engineer
- Market intelligence analyst/manager
The master of science in data science is a 12-course, 36-credit online master's degree that prepares students for complex and fast-paced careers in data science and analytics.
Featuring a multidisciplinary curriculum that draws primarily from computer science, mathematics and statistics, management and communication, the program teaches students how to derive insights from real-world data sets — both structured and unstructured. Using the latest data science tools, analytical methods and sophisticated visualization techniques, graduates learn to communicate their data discoveries and recommendations clearly. A focus on building leadership and communication skills rounds out the degree.
Classes may include:
- Foundations of Data Science
- Statistical Methods
- Programming for Data Science
- Big Data: High-Performance Computing
- Communicating about Data
- Visualization and Unstructured Data Analysis
- Ethics of Data Science
- Data Science and Strategic Decision Making
Learn more about the data science master's degree in the UWEC course catalog.
To enroll in our data science program, please submit an application. You will also need to include:
- Official college transcripts (from each institution you attended).
- Your resume.
- Two letters of recommendation (can be professional or academic).
- A personal statement of up to 1,000 words describing the reasons behind your decision to pursue this degree and what you believe you will bring to the data science field.
July 24: Fall semester
Dec. 11: Spring semester
April 17: Summer term
Note: Applications completed after the deadlines will be considered, but the deadlines allow for sufficient time to obtain the necessary technology and materials needed.
Please send your materials to
Schofield Hall 111
Eau Claire WI 54702-4004
- A bachelor’s degree from a regionally accredited college or university.
- A cumulative grade point average (GPA) of 3.0. Students with a GPA of less than 3.0 may be considered for provisional admission.
- Recent prerequisite coursework in elementary statistics, introductory computer programming and introduction to databases. Relevant work experience may be considered in lieu of this coursework.
No aptitude tests (GMAT, GRE) are required. Ideal candidates hold a bachelor's degree in math, statistics, analytics, computer science or marketing, or have three-to-five years of professional experience as a business intelligence analyst, systems analyst, data analyst, financial analyst, information technology analyst, database administrator, market research analyst, computer programmer, statistician or similar position.
Learn more about the program.