The specific areas of math that are not used in computer science vary depending on the subfield of computer science. However, some areas of math that are less commonly used in computer science include:

• Geometry: Geometry is used in some areas of computer science, such as computer graphics and computer-aided design, but it is not as widely used as other areas of math like algebra and calculus.
• Trigonometry: Trigonometry is used in some areas of computer science, such as computer graphics, but it is not as commonly used as other areas of math.
• Differential equations: Differential equations are used in some areas of computer science, such as artificial intelligence and robotics, but they are not as commonly used as other areas of math.
• Set theory: Set theory is a foundational area of mathematics, but it is not as widely used in computer science as other areas of math.

In general, the areas of math that are most commonly used in computer science are:

• Discrete mathematics: Discrete mathematics is the study of mathematical structures that are discrete, meaning that they can be counted or enumerated. Discrete mathematics is used in many areas of computer science, including algorithms, data structures, and cryptography.
• Linear algebra: Linear algebra is the study of vector spaces and linear transformations. Linear algebra is used in many areas of computer science, including machine learning, computer graphics, and numerical analysis.
• Number theory: Number theory is the study of integers and other number systems. Number theory is used in some areas of computer science, such as cryptography and computational complexity theory.
• Graph theory: Graph theory is the study of graphs, which are mathematical structures that represent pairwise relations between objects. Graph theory is used in many areas of computer science, including algorithms, data structures, and social network analysis.

Ultimately, the amount of math that is required for a career in computer science depends on the specific subfield of computer science that you are interested in. However, even if you are not planning to work in a math-intensive area of computer science, having a strong foundation in math will be beneficial for your career