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Data Science
The Data Science Bachelor of Arts program at the University of Wisconsin provides students with a comprehensive education in data collection, analysis, interpretation, and application across diverse sectors. The program integrates principles from computer science, statistics, mathematics, and information systems to equip students with the technical and analytical skills necessary to extract insights from large and complex datasets. Students study programming, data visualization, machine learning, statistical modeling, and big data technologies, developing both quantitative proficiency and critical thinking skills. The curriculum emphasizes practical problem-solving, research, and the ethical use of data, ensuring students can translate analytical findings into actionable strategies in academic, business, and research environments.
Throughout the program, students engage in hands-on projects, internships, and collaborative research, gaining practical experience with data manipulation, predictive modeling, and decision-making tools. Interdisciplinary coursework connects data science with areas such as healthcare, finance, social sciences, and environmental studies, allowing students to apply computational methods to real-world problems. Graduates leave the program with strong technical expertise, analytical reasoning, and the ability to communicate complex findings effectively to diverse audiences.
Key information
Key Facts
- Program Title: Data Science
- Degree Type: Bachelor of Arts
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2026
- Location: University of Wisconsin, United States
- Field of Study: Data Science & Big Data
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Data Science
• Introduction to Data Science and Big Data
• Programming Fundamentals
• College Writing and Communication
• Statistics and Probability
Year 2 – Core Data Science Concepts
• Data Structures and Algorithms
• Database Systems and Management
• Applied Statistical Analysis
• Data Visualization Techniques
Year 3 – Applied Data Science
• Machine Learning and Predictive Modeling
• Data Mining and Pattern Recognition
• Big Data Platforms and Cloud Computing
• Internship or Applied Research Project
Year 4 – Advanced Integration and Capstone
• Advanced Data Analytics Applications
• Ethics and Governance in Data Science
• Independent Research Project or Capstone
• Seminar in Data Science and Decision-Making
Career Opportunities
Graduates of the Data Science program are prepared for careers in data analytics, machine learning, artificial intelligence, business intelligence, statistical analysis, data engineering, research, and consulting. They can work in technology companies, healthcare organizations, finance, government agencies, academic research, or international enterprises. Many graduates pursue advanced degrees in data science, computer science, statistics, business analytics, or information systems, enabling specialization and leadership roles. Employers value graduates for their technical proficiency, quantitative reasoning, problem-solving abilities, and ability to translate complex data into actionable insights, making them highly competitive in industries that rely on data-driven decision-making and innovation.
Why Choose This Program
This program offers a unique combination of technical expertise, analytical skills, and practical experience, preparing students to excel in a rapidly evolving, data-driven world. Students benefit from mentorship by experienced faculty, access to advanced computing resources, and opportunities for internships and collaborative projects that integrate theoretical knowledge with real-world applications. The curriculum emphasizes interdisciplinary problem-solving, ethical considerations, and effective communication of insights, ensuring graduates can address complex challenges across diverse sectors. Whether pursuing careers in technology, business, healthcare, research, or public policy, students graduate with the expertise, experience, and professional confidence to transform data into meaningful solutions and drive informed decision-making in a variety of contexts.
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
