Data is everywhere, shaping decisions across industries, sciences, and society. The minor in Data Science introduces you to the fundamental methods and techniques needed to extract insights from data, empowering you to analyze, predict, and optimize real-world problems.
Data is the foundation of modern decision-making, in which understanding how to collect, analyze, and interpret data is an essential skill. But how do we extract meaningful insights from raw data? How can we build predictive models and optimize decision-making? And what ethical considerations must be taken into account when working with data?
The minor in Data Science equips students with the essential skills and knowledge to analyze data, build predictive models, and apply optimization techniques. Through a combination of theory and hands-on practice, students will learn statistical methods, machine learning, and artificial intelligence techniques, and gain experience with industry-standard tools. The program focuses on both technical competencies and critical thinking, ensuring that students can interpret results and communicate findings effectively.
Throughout the minor, students will work with real-world datasets and engage in problem-solving across different domains. The program concludes with a capstone project, where students apply their acquired knowledge to a practical case study, integrating concepts from statistics, predictive analytics, and optimization.
No prior programming or mathematics background is required: this minor is open to students from all fields who want to integrate data science into their studies and future careers.