Computational math vs. computer science

In summary, there are schools that offer math majors with a focus on computational math. These majors include pure math, applied math, math-computer science, and math-scientific computation. It is unclear if the latter would be a competitive major in the computer field. Some employers may prefer plain computer science majors over math majors, but it ultimately depends on the specific job. Discrete math is a good option for someone interested in both math and computer science, and graduates with this major have had success finding internships and jobs in computer science.
  • #1
ll1111
8
0
i want to get into computers but i want to major in math

some schools I'm interested in offer things like computational math

for example,
a school i might attend offers a few math majors

pure math
applied math
math-computer science
and math-scientific computation

the latter sounds most appealing to me, but would it be a competitive major in the computer field? or would the computer science one seem a lot more normal/acceptable?

do employers typically prefer plain computer science majors to math majors? who gets paid more?

what sort of jobs would something like computational math get me?
 
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  • #2
Discrete Math major is pretty much exactly what you're looking for it sounds like. I know a handful of discrete math majors, none of whom have had a problem finding internships/co-op positions or a job doing computer science related things.
 
  • #3


I can attest to the fact that both computational math and computer science are highly valuable and sought-after fields in the world of technology and innovation. While they may seem similar on the surface, there are distinct differences between the two that may help you in deciding which one to pursue as a major.

Firstly, computational math is a branch of mathematics that focuses on the development and application of mathematical algorithms and models to solve complex problems in various fields, including computer science. It involves using mathematical concepts and theories to design and implement algorithms, analyze data, and develop mathematical models to solve real-world problems. On the other hand, computer science is a discipline that focuses on the study of computers and computational systems, including their theory, design, development, and application.

In terms of majors, it ultimately depends on your interests and career goals. A major in computational math would provide you with a strong foundation in mathematics and its application to computer science, while a major in computer science would give you a broader understanding of computer systems and their applications.

In terms of competitiveness and job opportunities, both majors are highly valued and in-demand in the technology industry. However, computer science may be perceived as a more traditional and widely accepted major in the field, while computational math may be seen as a more specialized and niche area of expertise. Employers typically value both majors and it ultimately depends on the specific job and company.

In terms of salary, it is difficult to determine which major would result in a higher salary as it depends on various factors such as the specific job, company, and location. However, both majors can lead to high-paying and fulfilling careers in areas such as data science, software engineering, and computational research.

In summary, both computational math and computer science are valuable and in-demand fields that offer a wide range of career opportunities. It is important to carefully consider your interests and goals before choosing a major, as both can lead to successful and rewarding careers in the world of technology.
 

FAQ: Computational math vs. computer science

1. What is the difference between computational math and computer science?

Computational math is a branch of mathematics that focuses on the development and use of algorithms, numerical methods, and computer programs to solve mathematical problems. It is more theoretical in nature and is primarily concerned with the development and analysis of algorithms. On the other hand, computer science is a broader field that encompasses the study of computers and computational systems, including both hardware and software. It includes topics such as programming, data structures, algorithms, and computer architecture.

2. Do computational math and computer science use the same skills?

While both fields involve the use of computers and algorithms, they require different skill sets. Computational math requires a strong foundation in mathematics, including calculus, linear algebra, and statistics. It also requires knowledge of programming languages and data structures. Computer science, on the other hand, involves a broader range of skills, including programming, data analysis, and system design.

3. Which field is more applicable in real-world settings?

Both computational math and computer science have practical applications in various industries. Computational math is often used in fields such as engineering, physics, and finance for tasks such as simulating physical systems or analyzing large datasets. Computer science, on the other hand, has a wider range of applications, including software development, artificial intelligence, and data science.

4. Can someone with a background in computational math pursue a career in computer science?

Yes, someone with a background in computational math can pursue a career in computer science. Many concepts and skills overlap between the two fields, making it easier for individuals to transition from computational math to computer science. However, additional training and education may be necessary to gain expertise in specific areas of computer science.

5. What are some examples of jobs in computational math and computer science?

Some examples of jobs in computational math include data scientist, computational biologist, and quantitative analyst. Jobs in computer science include software engineer, web developer, and database administrator. Both fields offer a wide range of career opportunities in various industries.

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