# Get Ahead: Which Majors Take Discrete Math?

Find out how this foundational subject is crucial for success in these fields.

## FAQ

- What is discrete math?
- Discrete math is the study of mathematical structures that are distinct and separate. It includes topics such as set theory, graph theory, and combinatorics.
- Why is discrete math important for these majors?
- Discrete math provides a foundation for a variety of algorithms and computational techniques commonly used in these fields. It helps students develop analytical and problem-solving skills that are essential for success in modern technology-driven professions.
- What are some common careers in these fields?
- Careers in computer science, data science, cryptography, and engineering are just a few examples of fields that rely on discrete math.

## Computer Science

Discrete math is a prerequisite for many advanced computer science courses. It provides a foundation for understanding algorithms, computability, and complexity theory. Topics such as logic, set theory, graph theory, and combinatorics are essential for computer science majors.

Many popular programming languages and data structures, such as binary trees and graphs, rely on discrete math principles. The ability to think logically and abstractly is essential for successful software engineering and programming.

According to the Bureau of Labor Statistics, computer and information technology occupations are projected to grow by 11% from 2019 to 2029. Jobs in this field include software developers, network architects, and cybersecurity analysts.

Source: https://www.bls.gov/ooh/computer-and-information-technology/home.htm

## Data Science

Data science is an interdisciplinary field that blends statistics, computer science, and machine learning. Discrete math is important for understanding the foundational concepts that underlie these fields.

Topics such as set theory, graph theory, and combinatorics are used to create efficient algorithms for data analysis and machine learning. The ability to model complex data sets is essential for successful data science.

According to the Bureau of Labor Statistics, employment in the field of mathematical science is projected to grow by 3% from 2019 to 2029. Jobs in this field include statisticians, data analysts, and operations research analysts.

## Actuarial Science

Actuarial science is a field that uses mathematical and statistical methods to assess risk in insurance, finance, and other industries. Discrete math is essential for actuarial science majors.

Topics such as probability, graph theory, and combinatorics are used to model complex systems and analyze risk. Actuaries must be able to evaluate data and anticipate risk to make informed decisions that protect consumers and businesses.

According to the Bureau of Labor Statistics, employment in the field of actuaries is projected to grow by 18% from 2019 to 2029. Jobs in this field include actuaries, risk analysts, and underwriters.

## Financial Mathematics

Financial mathematics is a field that applies mathematical techniques to financial markets and investment strategies. Discrete math is important for understanding the underlying principles of financial math.

Topics such as probability, graph theory, and combinatorics are essential for analyzing financial data and creating successful trading strategies. Financial math majors must be able to think critically and analyze data to make informed decisions.

According to the Bureau of Labor Statistics, employment in the field of financial analysis is projected to grow by 5% from 2019 to 2029. Jobs in this field include financial analysts, investment bankers, and hedge fund managers.

Source: https://www.bls.gov/ooh/business-and-financial/home.htm

## Cryptography

Cryptography is the practice of secure communication in presence of third parties. Cryptography is used in fields such as computer science, engineering, and data scienece. Discrete math concepts, especially combinatorics, plays a crucial role in the construction of cryptographic algorithms. Moreover, studying graph theory can give one insight into how to visually represent such algorithms, and how to create a secure communication network.

## Engineering

Discrete math is essential in engineering studies. Engineering deals with formulating and solving real life problems, which is why discretemath concepts such as graph theory is particularly useful in modeling engineering systems such as traffic network, electrical circuits, and hydraulic systems.

Source: https://www.smu.edu/Lyle/Departments/CSE/Academics/Graduate/MSEngineering/WhyEngineering

## Computer Graphics

Discrete math is an essential tool for computer graphics design. Concepts like combinatorics and graph theory are important in designing computation-efficient algorithms that render complex graphical objects such as 3D models with high clarity and resolution. Computer graphics engineers find application in film, gaming, and graphic designing industry.

Source: https://delta.ncsu.edu/news/2020/10/06/discrete-math-computer-graphics/