Mathematical Tools for Data Science
Data science is about learning from data. It is rapidly emerging as a fundamental pillar of our digital society. Positioned at the intersection of Applied Mathematics, Computer Science and Statistics, it demands an integrated approach, where individuals possess solid knowledge and a sound intuition of how to handle (complex) data with uncertainty, how to formulate pertinent questions, and how to solve them using mathematical modeling and efficient numerical algorithms, taking advantage of specialized software.
The MSSG Spring Semester offers a range of courses aimed at strengthening these indispensable skills. Special emphasis is placed on project-based learning, allowing students to put their knowledge into practice and gain hands-on experience.
The goal of MSSG Spring Semester is to provide students with a solid and rigorous problem solving-oriented understanding of Data Science. Data science involves strong interactions between statistics, mathematical modeling, pure mathematics and computer science. Students will be exposed to concepts and terminology for 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 one-week 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 a four decades' experience in pluri-disciplinary studies, uniting pure 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.|
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. By the end of the semester, students should:
Successful applicants will: