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Statistics is a foundational discipline in the modern data-driven world, equipping students with the analytical tools needed to extract meaning from complex information. This program offers a thorough grounding in both theoretical and applied statistics, covering areas such as probability theory, statistical modeling, data visualization, and inference. The curriculum emphasizes critical thinking and precise communication of data insights, encouraging students to understand not only how to perform statistical analyses but also how to interpret and present their findings in real-world contexts. With a blend of mathematical rigor and practical problem-solving, students are trained to handle uncertainty and make evidence-based decisions across a variety of fields.
Throughout the program, students explore the role of statistics in economics, medicine, social sciences, technology, and policy-making. They gain experience using statistical software, designing experiments, and analyzing real datasets, preparing them to address contemporary challenges with data-driven approaches. The program also supports interdisciplinary learning, enabling students to apply statistical reasoning in diverse domains and collaborate effectively with professionals in science, business, and government. Graduates emerge not only with technical expertise but also with a strong sense of ethical responsibility in the use and communication of data
Year 1 – Fundamentals and Foundations
• Introduction to Statistical Reasoning
• Calculus I
• Principles of Data Analysis
• Statistical Computing Basics
Year 2 – Core Statistical Techniques
• Probability and Random Variables
• Statistical Inference
• Linear Algebra for Data Science
• Regression Analysis
Year 3 – Applied and Theoretical Depth
• Applied Multivariate Analysis
• Experimental Design
• Time Series and Forecasting
• Statistical Software and Programming
Year 4 – Advanced Topics and Integration
• Bayesian Statistics
• Capstone in Statistical Practice
• Ethics in Data Science
• Elective in Interdisciplinary Applications (e.g., Bioinformatics, Econometrics)
A Bachelor of Arts in Statistics opens doors to a wide range of career paths in today's data-centric economy. Graduates are well-prepared for roles in data analysis, market research, policy evaluation, healthcare analytics, financial forecasting, sports analytics, public health, and actuarial science. Organizations across sectors—tech companies, research institutes, government agencies, banks, and healthcare systems—actively seek statisticians who can translate data into actionable insights. Furthermore, this degree provides a strong foundation for pursuing advanced studies in statistics, biostatistics, economics, machine learning, or data science, making it an excellent choice for those aiming to become leaders in data-intensive professions.
Choosing this program means committing to the language of data—a skill set increasingly critical across every industry. The Statistics program combines deep theoretical understanding with hands-on analytical experience, empowering students to become confident problem-solvers and decision-makers. Faculty members are engaged in cutting-edge research and provide mentorship that bridges academic learning with real-world applications. Students benefit from collaborative projects, internship opportunities, and exposure to high-impact data challenges. The flexibility of the Bachelor of Arts track also encourages exploration of double majors or minors, fostering a well-rounded education that integrates statistical insight with broader intellectual interests. This program is ideal for students who seek to make sense of the world through data and contribute meaningfully to evidence-based decision-making in society.
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