University of Wisconsin Campus
Master of Science
On Campus
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University of Wisconsin
Madison
United States

Statistics and Data Science

About

The Statistics and Data Science Master’s Program at the University of Wisconsin is a one-year, full-time, on-campus Master of Science program designed for individuals who wish to develop advanced expertise in statistics and data science. This program equips students with the necessary skills to analyze complex datasets, apply statistical techniques, and derive actionable insights for a wide range of industries. Throughout the program, students will gain a strong foundation in data analysis, statistical modeling, and machine learning, with a particular emphasis on using data to solve real-world problems across diverse sectors such as finance, healthcare, and technology.

The curriculum combines rigorous coursework with hands-on learning, allowing students to apply theoretical knowledge to practical problems. By engaging with industry-standard software and tools, students will learn how to design and implement sophisticated data models, predictive analytics, and data visualizations. Graduates of the program will be well-equipped to pursue careers as data scientists, statisticians, data analysts, and other related roles in both academic and industry settings, where they can make data-driven decisions and solve complex problems using big data and advanced analytics.

Key information

Duration
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Tuition fee
$25,732.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Statistics and Data Science
  • Degree Type: Master of Science
  • Duration: 1 year
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 15 December 2025
  • Location: University of Wisconsin, United States
  • Field of Study: Statistics
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations of Statistics and Data Science

  • Introduction to Statistical Methods
  • Probability and Statistical Inference
  • Programming for Data Science (Python, R)
  • Data Visualization and Exploration

Semester 2 – Advanced Data Science Techniques

  • Machine Learning and Predictive Modeling
  • Advanced Statistical Inference
  • Data Science Ethics and Privacy
  • Big Data Technologies and Tools

Semester 3 – Applied Statistics and Analytics

  • Statistical Modeling and Data Analysis
  • Time Series Analysis and Forecasting
  • Data Wrangling and Cleaning Techniques
  • Research Methods in Data Science

Semester 4 – Capstone Project and Professional Development

  • Independent Capstone Project in Statistics and Data Science
  • Data Science Career Development and Networking
  • Advanced Data Analytics Techniques
  • Final Presentation and Portfolio Development

Career Opportunities

Graduates of the Statistics and Data Science Master’s Program are highly sought after in a variety of industries, as the demand for data-driven decision-making continues to grow. Alumni of the program typically work as data scientists, statisticians, machine learning engineers, data analysts, or quantitative researchers. They find opportunities in fields such as finance, healthcare, technology, and government, where they apply their data analysis and statistical modeling skills to solve complex challenges. Graduates are equipped to contribute to data-driven decision making, develop predictive models, and manage large datasets for improved business performance and innovation. Additionally, the program provides a solid foundation for those interested in continuing their studies in statistical theory, machine learning, or data science research.

Why Choose This Program

The Statistics and Data Science Master’s Program at the University of Wisconsin provides an unparalleled opportunity for students to gain in-depth knowledge of both statistical theory and data science techniques. This one-year, full-time program offers a perfect blend of academic rigor and practical application, equipping students with the tools and experience necessary to succeed in the rapidly evolving field of data science. Students will benefit from cutting-edge coursework, hands-on projects, and collaboration with faculty who are experts in the field. The program emphasizes real-world applications, including machine learning, big data analytics, and predictive modeling, ensuring that graduates are well-prepared for high-demand roles in industries such as tech, finance, and healthcare. With a strong focus on data-driven problem solving and advanced analytics, graduates of this program will be ready to tackle the data challenges of tomorrow.

Contact Information

For further information, please contact the admissions office at:
Phone: +1 608-262-2433
Email: admissions@grad.wisc.edu
Address: 217 Bascom Hall, 500 Lincoln Drive, Madison, WI 53706, USA