The Bachelor of Science in Mathematics and Computing provides rigorous, comprehensive, and coherent training in both the background of and relationships between the fields of Mathematics and Computing. This includes the applications of mathematical theories relevant to computing and data as well as the theoretical problems that modern computing poses for progress.
The Mathematics and Computing degree stands apart by offering a balanced, integrated curriculum that develops both mathematical depth and computational fluency. It is ideal for students who want to understand not just how computational systems and algorithms work, but why they work, how to prove their properties, and how to build new ones from first principles. This degree prepares students for cutting-edge interdisciplinary fields such as artificial intelligence, computational science, data-driven modeling, algorithm design, and mathematical foundations of machine learning.
Students will choose one of three concentrations:
Theoretical Computer Science and Discrete Math which will prepare students to be able to tackle foundational theoretical CS problems with advanced mathematical reasoning.
Modeling, Simulation, Data and Applied Math which will equip students with computational tools that are ubiquitous in industrial and scientific applications.
Mathematical Intelligence and Data Science which bridges AI applications with the mathematical foundations needed to use and develop advanced algorithms.
Preparation for Industry
Graduates from this program will be well positioned to find jobs as scientists and researchers in industry, the academy, and government labs. The technological skills, as well as the knowledge, general skills and abilities learned as part of the BS in Mathematics and Computing are directly applicable to a wide range of jobs across multiple sectors of the digital economy. Companies are seeking employees with who not only understand the present data/computer science applications but also the math underlying it so that new applications can be built to respond to new problems which adapt older applications. Industry positions with a preferred background that lies in the intersection of the fields of Mathematics and Computing are where our graduates will be best suited, such as: Data Scientist or Engineer, Numerical Programmer, Quantitative Finance Engineer, Cryptographer or Cryptography Engineer, Graphics Engineer for gaming and visual entertainment, and Computer Vision Engineer.
Contact Information
Please email mathcomputing@gatech.edu with questions.
Course Requirements
The course requirements are documented on this page.