Turn Data into Decisions. Build a Career That Shapes the Future – with a Data Science Master’s Degree.
Degree Type: Master of Science (M.S.) | Format: EU Flex| Department: Computer Science and Information Systems | Time to Degree: 2 Years | Total Estimated Tuition Costs: $27,600
Big data is transforming every industry—from healthcare and finance to sports, education and AI development. The Master’s in Data Science and Analytics at Elmhurst University equips you with in-demand skills to lead this transformation through advanced training in machine learning, predictive modeling, AI tools, programming and data storytelling.
Whether you’re seeking a career change, skill advancement, or a leadership role, our flexible online format and industry-aligned curriculum prepare you to thrive in today’s most data-driven roles.
Learn Data Science in a Program Built Around You
Elmhurst University’s Data Science Master’s Degree and Analytics program is designed around you at every stage, from admissions to graduation. From the flexible format to the variety in coursework, here’s what you can expect from the M.S. in Data Science and Analytics program at Elmhurst:
- STEM-designated. The U.S. Department of Homeland Security (DHS) recognizes master’s in data science programs for their focus on science, technology, engineering, and math.
- Flexibility built into every step. Apply without having to take the GRE or GMAT, no matter what undergraduate degree you have. Once enrolled, you can complete your master’s on a manageable timeline.
- EU Flex Format: Balance work, school and life while you earn your data science master’s degree either online or EU Flex. Our program is delivered in eight-week sessions over the course of two years to help you thrive while you juggle responsibilities outside of school.
- Top-tier data science faculty. Learn data science under faculty who’ve worked in business, infrastructure and programming. Well-versed in the most current data science concepts, our master’s of data science program faculty will work closely with you to help you succeed in your coursework and apply the concepts you learn to real-world business scenarios.
- Seemingly endless opportunities. Learn data science concepts and skills you can apply in almost any industry. In Elmhurst’s M.S. in data science and analytics, you’ll develop a portfolio of projects to help you gain employment.
Why Get Your Data Science Master’s Degree?
Hear Program Director Kip Carlson and Founding Director Dr. James Kulich discuss the possibilities that come with an online data science master’s degree.
What Can You Do With a Data Science Master’s Degree?
Graduates of our program are making benefit from experienced, engaged faculty and develop a versatile skill set. These graduates are making an impact on major organizations like Dell, Monsanto, Nationwide Insurance, Memorial Sloan Kettering and Major League Soccer. With the explosion of AI and automation, career possibilities have expanded rapidly.
Top Career Paths Include
- Data Scientist
- Machine Learning Engineer
- AI Product Manager
- Business Intelligence Analyst
- Data Strategy Consultant
- Predictive Modeler
- Data Governance Analyst
- Data Engineer
- Operations Research Analyst
- Marketing Analytics Specialist
- NLP Engineer
- Cloud Data Architect
These roles are in high demand across industries like healthcare, tech, sports, education, public policy, and e-commerce.
What Master’s in Data Science Program Graduates Are Saying
Our field is always changing, so you’re on a never-ending learning curve. Elmhurst’s analytical approach gave me a foundation to build on. I can attribute the role I have now to the preparation I received from Elmhurst.
Josh Bullers, M.S. '18
Explore Data Science Master’s Program Courses
Our curriculum provides an interconnectedness of various subjects and fields, including statistics, computer science, AI and business strategy, to help you embrace challenges with an open mind, and ensure you graduate career ready.
Highlighted Courses
- Introduction to Predictive Modeling
Learn how to build predictive models using machine learning techniques like classification, decision trees, and text analytics to forecast trends and make data-driven business decisions. - Programming Environments for Modern Data
Develop coding skills using Python and cloud-based tools to analyze and visualize complex data sets. - Methods of Exploratory Data Analysis
Master the tools of data storytelling using Power BI, Tableau, Python, and statistical methods to uncover insights and create interactive dashboards. - Advanced Enterprise Analytics
Study how to use AI, NLP, ML Ops, and Robotic Process Automation to streamline data workflows and drive real-time decision-making. - Data Governance and Project Management
Lead enterprise data projects with knowledge in FAIR standards, Agile methodologies, and ethical data management. - Advanced Machine Learning Applications
Explore deep learning, computer vision, NLP, and MLOps while building advanced models in Python. - Time Series Forecasting
Use ARIMA, exponential smoothing, and AI-based forecasting methods to predict sales, demand, and operations outcomes. - Generative and Applied AI
Learn to use tools like ChatGPT for content generation, AI product design, and ethical innovation—no coding required. - Data Science Capstone
Complete a professional data science project demonstrating your ability to solve a real-world problem using machine learning, visualization, and storytelling.
Programs Related to the M.S. in Data Science and Analytics at Elmhurst University
Interested in other technology or information careers? Check out the programs below, or browse all of our graduate programs.
Frequently Asked Questions
No. Elmhurst University welcomes applications from students who hold an undergraduate degree in any major from a regionally accredited institution.
Yes. A basic course in statistics (with a grade of C or better) and prior coursework in programming or equivalent professional experience are prerequisites for the program.
Our prerequisites may be completed with satisfactory completion of a short LinkedIn Learning course prior to starting classes with us. For example:
- Statistics Foundations 1, 2, and 3
- Programming Foundations: Fundamentals
Prerequisites also can be completed as part of the student’s undergraduate coursework or transferred from another college or university.
Learn more about admission requirements.
Yes. We offer a five-course graduate certificate in Data Science. Click on the link to learn more.