SPRING SEMESTER 
Handling, processing, and analyzing voluminous and complex data are now incredibly common tasks that influence many aspects of our everyday life. Thanks to the advent of powerful data collection and storage devices in recent decades, the world is allconnected. Geographical, social and cultural preferences, and transportation data, to name just a few examples, are being increasingly used to inform decisionmaking processes, to discover interesting relationships between variables, or to predict future trends. Major industries and government institutions are now forming data science teams to undertake these challenges. The scientific and technical issues used to address the abovementioned topic are complex and highly multidisciplinary in nature. In particular, mathematicians are called upon to prescribe, interpret and supervise quantitative methods of analysis and their corresponding computer implementations. The goal of this semester is to provide students with a solid and rigorous understanding of the subject’s core. The study of data science with a truly multi‑disciplinary and sound approach necessarily involves strong interaction between statistics, mathematical modeling, pure mathematics and computer science. Students will be exposed to concepts and terminology from data science, preparing them to communicate with and take part in data science teams. In addition, they will learn the fundamental theoretical bases of quantitative methods, statistical models, and computer science, equipping them with the ability to choose relevant and efficient algorithmic solutions for solving problems in data science and mathematical modeling.
Click on the tiles below to see details of each course of the Spring Program
Other courses, including an Independent Research Project, might be offered depending on the academic background of the students admitted to the program. The minimum course load is three mathematics courses per semester. A oneweek workshop on computational tools for data science is organized at the beginning of the Semester. 
WHY STUDY MATHEMATICAL TOOLS FOR DATA SCIENCE IN GUANAJUATO? 
CIMAT is a research facility with four decades' experience in pluridisciplinary studies, uniting basic math, statistics and computer science. Our combined approach to these areas makes the perfect setting for the study of Data Science, as the experts in each area will give you the fundamentals to help you to understand data science problems from both a statistical and an algorithmic point of view. At CIMAT, you will discover how nice constructions from basic mathematics areas, such as Geometry and Algebra, may help you in understanding data. CIMAT has an extraordinarily vivid academic environment, with a continuous flow of academic events such as conferences, seminars and congresses dealing with cuttingedge research areas and involving leaders of their fields from the Americas, Europe and Asia. Guanajuato is one of the greatest cities to live in México; an environment where you can be immersed in a colorful, joyous, Mexican atmosphere, learn or practice Spanish and discover the rich culture of México. 
SEMESTER GOALS/OBJECTIVES 
The aim of this semester is to learn and master the mathematical and computational foundations necessary for students to deepen their knowledge and practical skills in areas related to data science. The aim is that, by the end of the semester, students should:

GENERAL REQUIREMENTS 
Successful applicants will:
