- All DegreesExplore Bachelor’s & Master’s degrees
- Bachelor’s DegreesExplore master’s degrees from leading universities
- Master’s DegreesExplore Computer Science & Engineering degrees
- Postgraduate StudiesDeepen your expertise with postgraduate learning
- MasterTrack™Earn credit towards a Master’s degree
- University CertificatesAdvance your career with graduate-level learning

- Browse
- Discrete Mathematics

- Finance & Quantitative Modeling for Analysts: University of Pennsylvania
- Business and Financial Modeling: University of Pennsylvania
- Business Analytics: University of Pennsylvania
- Advanced Learning Algorithms: DeepLearning.AI
- IBM Machine Learning: IBM Skills Network
- IBM Introduction to Machine Learning: IBM Skills Network
- Financial Engineering and Risk Management: Columbia University
- Algorithms: Stanford University
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- Six Sigma Yellow Belt: University System of Georgia

Discrete mathematics refers to a group of mathematics branches that deal with discrete objects instead of continuous objects. In discrete mathematics, objects have distinct, separate values represented by integers, unlike real numbers used in continuous mathematics. Discrete mathematics includes combinatorics, set theory, graph theory, number theory, and probability. It is integral to computer science and plays a role in the field of data science.

You may consider learning discrete mathematics if you want to study computer science or work in a data science field. Discrete mathematics is a foundation of computer science, and programmers often use principles of set theory, probability, and combinations to analyze algorithms when writing programs and applications. Learning discrete mathematics can also help boost other useful skills like logic, reasoning, and problem-solving, making you a more marketable job candidate.

Typical careers that use discrete mathematics are in the computer science field, such as software development, programming, and cryptography. Data scientists and data analysts may use their knowledge of discrete mathematics in their work. Other careers that can incorporate discrete mathematics include electrical and mechanical engineers in addition to data analysts, business analysts, and market researchers. Discrete mathematics also influences the work of urban planners, epidemiologists, and social scientists who collect and analyze large amounts of data.

Online courses can introduce you to core concepts of discrete mathematics, such as sets, relations, and functions. Lessons include topics like partial orders, enumerative combinatorics, and the binomial coefficient, and you have opportunities to apply the concepts to real-world applications. You may choose courses that cover specific subjects like graph theory or probability to increase your knowledge of these disciplines. Alternatively, you may decide to take courses that explore the application of discrete mathematics in specific fields like data science, computer science, or machine learning.

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Other topics to explore