Information Analysis
The Bachelor of Science in Information Analysis at the University of Michigan provides students with a comprehensive understanding of data collection, management, and interpretation to support informed decision-making across various industries. The program emphasizes data analytics, information systems, and computational tools to analyze complex datasets and extract actionable insights. Students gain hands-on experience in database management, statistical modeling, and visualization techniques, allowing them to translate raw data into meaningful information. The curriculum also develops critical thinking, problem-solving, and technical proficiency, preparing graduates to address the growing demand for data-driven strategies in business, technology, and research environments.
In addition to technical training, students explore ethical, social, and organizational aspects of information management, learning to evaluate data quality, security, and accessibility. The program integrates project-based learning, collaborative exercises, and interdisciplinary approaches to develop both analytical and communication skills essential for modern information professionals. With a focus on applied analytics and decision support, graduates are equipped to pursue careers in business intelligence, IT consulting, data governance, or advanced study in data science, analytics, and technology management, ensuring they are ready to contribute effectively to organizations that rely on accurate and insightful information.
Key information
Key Facts
- Program Title: Information Analysis
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: University of Michigan, United States
- Field of Study: Information Technology (IT)
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Information Analysis
• Introduction to Information Systems
• Fundamentals of Data Analysis
• Programming for Data Management
• Collaborative Technology Projects
Year 2 - Intermediate Analytical Techniques
• Statistical Methods and Modeling
• Database Design and Management
• Data Visualization and Reporting
• Applied Project in Information Analysis
Year 3 - Advanced Analysis and Application
• Predictive Analytics and Machine Learning
• Information Security and Ethical Data Use
• Systems Analysis and Optimization
• Electives in Business, Technology, or Research
Year 4 - Capstone and Professional Integration
• Senior Project in Information Analysis
• Advanced Data Analytics Seminar
• Internship or Industry Collaboration
• Professional Development and Portfolio Preparation
Career Opportunities
Graduates gain expertise in data analysis, information management, predictive modeling, business intelligence, and data visualization. They are prepared for careers as data analysts, business intelligence specialists, IT consultants, information managers, or research analysts in diverse sectors such as technology, finance, healthcare, and government. The program also provides a strong foundation for graduate studies in data science, information systems, or analytics. Graduates leave ready to apply analytical techniques, solve complex data problems, and contribute to organizational decision-making with confidence, technical skill, and professional insight.
Why Choose This Program
This program is ideal for students seeking a curriculum that integrates analytical thinking, applied technology, and data-driven problem solving. Learners participate in hands-on projects, collaborative exercises, and applied research that strengthen technical proficiency, critical reasoning, and communication skills. The curriculum emphasizes real-world application, ethical data management, and strategic insight, enabling graduates to analyze complex datasets and generate meaningful solutions. With its focus on applied information analysis, data-driven decision making, and professional preparedness, the program equips students to excel in dynamic technology environments, lead data initiatives, and pursue advanced study or certification in analytics and information management.
Contact Information
For further information, please contact the admissions office at:
Phone: 734-764-8129
Email: rackadmis@umich.edu
Address: Graduate Admissions Office, University of Michigan, Ann Arbor, MI 48109, USA
