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Information Science
The Information Science: Data Science & Big Data Bachelor of Arts program at the University of Wisconsin provides students with an in-depth understanding of how data is collected, processed, analyzed, and applied to solve complex problems across industries. The program integrates computer science, statistics, and information management to prepare students for careers that rely on large-scale data analysis and evidence-based decision-making. Students develop proficiency in programming, data visualization, statistical modeling, machine learning, and database management, gaining the technical skills necessary to handle the challenges of big data in real-world contexts. Emphasis is placed on critical thinking, ethical use of data, and effective communication, ensuring graduates can translate analytical insights into actionable strategies.
Throughout the four-year program, students engage in hands-on projects, research experiences, and internships that provide practical exposure to the tools, technologies, and methodologies used in data-driven industries. The curriculum also emphasizes interdisciplinary applications, allowing students to integrate data science principles with fields such as business, environmental science, social sciences, and healthcare. By developing both technical proficiency and analytical reasoning, graduates are prepared to address challenges related to data collection, processing, interpretation, and decision-making in diverse professional settings.
Key information
Key Facts
- Program Title: Information 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 Information Science
• Fundamentals of Programming
• College Writing and Communication
• Statistics and Data Analysis
Year 2 – Core Data Science Concepts
• Data Structures and Algorithms
• Database Systems and Management
• Applied Statistics and Probability
• Data Visualization and Reporting
Year 3 – Applied Big Data Techniques
• Machine Learning and Predictive Analytics
• Data Mining and Pattern Recognition
• Cloud Computing and Big Data Platforms
• Internship or Applied Project
Year 4 – Advanced Integration and Capstone
• Advanced Data Science Applications
• Ethics and Governance in Data Science
• Independent Research Project or Capstone
• Seminar in Data Analytics and Decision-Making
Career Opportunities
Graduates of this program are well-prepared for careers in data analysis, business intelligence, machine learning, artificial intelligence, information systems management, and data consulting. They can work in sectors including technology, healthcare, finance, government, and research organizations. Alumni are also well-positioned for graduate study in data science, information systems, computer science, or business analytics, providing opportunities for advanced specialization and leadership roles. Employers value graduates for their technical expertise, analytical thinking, problem-solving ability, and capacity to transform data into actionable insights, making them highly competitive in the growing field of data-driven decision-making.
Why Choose This Program
This program offers a unique combination of technical training, analytical rigor, and applied experience, preparing students to excel in the rapidly evolving field of big data and information science. Students benefit from faculty mentorship, access to cutting-edge computational tools, and opportunities for hands-on projects and internships that bridge theory with practical application. The curriculum emphasizes ethical decision-making, interdisciplinary collaboration, and critical analysis, equipping graduates with the knowledge and skills to interpret complex datasets and support evidence-based decision-making. Whether pursuing careers in technology, business, healthcare, or research, students emerge from this program with the expertise, experience, and professional confidence to make a significant impact in data-driven environments.
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
