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Data Science
The Master of Science in Data Science at the University of Wisconsin is an intensive one year program designed to equip students with advanced knowledge and skills in data analysis, machine learning, and big data management. The curriculum combines theoretical foundations with practical applications, emphasizing statistical modeling, programming, and data driven decision making. Students develop essential competencies in data analytics, machine learning, data visualization, and research methodology, enabling them to extract insights from complex datasets, build predictive models, and implement data solutions across various industries. Through classroom instruction, hands on projects, and applied research, learners gain both technical expertise and problem solving skills required to address real world data challenges.
The program also emphasizes professional development and applied learning, allowing students to work on practical data projects, collaborate in teams, and engage in research under faculty mentorship. Learners gain experience in programming, data pipeline development, and statistical modeling while building skills in communication and presentation of data insights. Access to advanced computing resources, industry relevant tools, and faculty guidance ensures students develop both theoretical understanding and practical proficiency. By the end of the program, graduates are prepared for careers in data science, analytics, business intelligence, or for further academic study in data and computational sciences.
Key information
Key Facts
- Program Title: Data Science
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 February 2026
- Location: University of Wisconsin, United States
- Field of Study: Data Science & Big Data
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Data Science
• Statistical Methods and Data Analysis
• Programming for Data Science
• Data Management and Big Data Systems
• Research Methods in Data Science
Semester 2 – Advanced Analytics and Applications
• Machine Learning and Predictive Modeling
• Data Visualization and Communication
• Cloud Computing and Data Pipelines
• Applied Data Science Project
Career Opportunities
Graduates of this program are well prepared for a broad range of roles in data driven industries, where technical expertise and analytical insight are critical. Many work as data scientists, business intelligence analysts, machine learning engineers, data engineers, or analytics consultants, applying skills in statistical modeling, predictive analytics, and data visualization. The program equips students to develop data driven solutions, design analytical workflows, and make evidence based decisions that inform strategy and optimize operations. Graduates also gain a foundation for leadership roles, interdisciplinary collaboration, and advanced research or doctoral studies in data science, big data, and computational analytics.
Why Choose This Program
This program offers a focused and applied approach to data science, enabling students to develop advanced analytical training and high level technical skills within a one year curriculum. The coursework emphasizes practical problem solving, programming, and machine learning, allowing learners to extract actionable insights from complex datasets and design scalable data solutions. With hands on projects, faculty mentorship, and access to modern computational tools, students gain both technical proficiency and professional readiness. The program’s focus on applied analytics, big data management, and interdisciplinary learning ensures graduates are well prepared to excel in data science careers, innovative technology roles, or further academic study.
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
