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Mathematical engineer education requirements
Updated January 8, 2025
4 min read
There are several educational requirements to become a mathematical engineer. Mathematical engineers usually study mathematics, biology, or psychology. 69% of mathematical engineers hold a bachelor's degree, and 23% hold an master's degree. We analyzed 16 real mathematical engineer resumes to see exactly what mathematical engineer education sections show.
The most common colleges for mathematical engineers are the Smith College and the Smith College.
There are also many online mathematical engineer courses to help get the education required to be a mathematical engineer.
What education do you need to become a mathematical engineer?
What degree do you need to be a mathematical engineer?
- Bachelor's, 69%
- Master's, 23%
- Diploma, 8%
What should I major in to become a mathematical engineer?
- Mathematics, 27%
- Biology, 7%
- Psychology, 7%
- Fine Arts, 7%
- Other Majors, 52%
Most common colleges for mathematical engineers
| Mathematical engineer common college | Percentages |
|---|---|
| Smith College | 22.22% |
| Bowie State University | 11.11% |
| Earlham College | 11.11% |
| Massachusetts Institute of Technology | 11.11% |
| Oakland University | 11.11% |
Best majors for mathematical engineers
| Rank | Major | Percentages |
|---|---|---|
| 1 | Mathematics | 26.7% |
| 2 | Biology | 6.7% |
| 3 | Psychology | 6.7% |
| 4 | Fine Arts | 6.7% |
| 5 | Elementary Education | 6.7% |
Best colleges for mathematical engineers
The best colleges for mathematical engineers are Northwestern University, University of Pennsylvania, and Columbia University in the City of New York.
A mathematical engineer with advanced education typically earns a higher salary and has access to better jobs. That's why Zippia looked into the best colleges for mathematical engineers. We based this list on several metrics: admissions rate, retention rate, mean earnings of graduates, the ratio of working vs. non-working students ten years after admission, the average cost of attendance, and median debt for graduates who become mathematical engineers.
1. University of Michigan - Ann Arbor
Ann Arbor, MI • Private
In-state tuition
$15,262
Enrollment
30,079
2. Northwestern University
Evanston, IL • Private
In-state tuition
$54,568
Enrollment
8,451
3. Johns Hopkins University
Baltimore, MD • Private
In-state tuition
$53,740
Enrollment
5,567
4. University of Pennsylvania
Philadelphia, PA • Private
In-state tuition
$55,584
Enrollment
10,764
5. Columbia University in the City of New York
New York, NY • Private
In-state tuition
$59,430
Enrollment
8,216
6. Stanford University
Stanford, CA • Private
In-state tuition
$51,354
Enrollment
7,083
7. New York University
New York, NY • Private
In-state tuition
$51,828
Enrollment
26,339
8. Carnegie Mellon University
Pittsburgh, PA • Private
In-state tuition
$55,465
Enrollment
6,483
9. Harvard University
Cambridge, MA • Private
In-state tuition
$50,420
Enrollment
7,582
10. Cornell University
Ithaca, NY • Private
In-state tuition
$55,188
Enrollment
15,105
20 best online courses for mathematical engineers
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1. Mathematics for Engineers
This specialization was developed for engineering students to self-study engineering mathematics. We expect students to already be familiar with single variable calculus and computer programming. Through this specialization, students will learn matrix algebra, differential equations, vector calculus, numerical methods, and MATLAB programming. This will provide them with the tools to effectively apply mathematics to engineering problems and be well-equipped to pursue a degree in engineering. To...
2. Advanced Linear Models for Data Science 2: Statistical Linear Models
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language...
3. Control Systems: From Mathematical Modelling to PID Control
Learn the mathematics that will allow you to model and control any engineering system. Make machines do what you want!...
4. Mathematics for Computer Games Development using Unity
A Beginner's Guide to Essential Mathematics, Data Structures and Algorithms used in Game Programming applied in Unity...
5. SQL Mathematical Functions
Welcome to this project-based course, SQL Mathematical Functions. In this project, you will learn how to use SQL Mathematical Functions to manipulate tables in a database. By the end of this 2-hour-long project, you will be able to use different Mathematical Functions to retrieve the desired result from a database. In this project, you will learn how to use SQL Mathematical Functions like CEIL(), FLOOR(), RANDOM(), SETSEED(), ROUND(), TRUNC(), SQRT(), CBRT(), and POWER() to manipulate data in...
6. Mathematics for Machine Learning and Data Science
Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization is where you’ll master the fundamental mathematics toolkit of machine learning.\n\nMany machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back by a lack of math skills. This Specialization uses innovative pedagogy in mathematics to help you learn...
7. Discrete Mathematics
Master Discrete Math for Computer Science and Mathematics Students...
8. Complete Mathematics Masterclass: College & University Level
All the Applied Mathematics Needed in Science, Programming, Engineering, IT & Business - Theory, Examples & Exercises...
9. Mathematics for Machine Learning: PCA
This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared...
10. English for Science, Technology, Engineering, and Mathematics
Welcome to English for Science, Technology, Engineering, and Mathematics, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. To enroll in this course for free, click on “Enroll now” and then select "Full Course. No certificate." If you want to get a Coursera Verified Certificate for free, please fill out the Financial Aid form. This course is designed for non-native...
11. Mathematical Foundations of Machine Learning
Essential Linear Algebra and Calculus Hands-On in Num Py, Tensor Flow, and Py Torch...
12. Mathematical Foundation For Machine Learning and AI
Learn the core mathematical concepts for machine learning and learn to implement them in R and python...
13. Mathematics for Machine Learning
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine...
14. Mathematics for Computer Science
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to...
15. Statistics & Mathematics for Data Science & Data Analytics
Learn the statistics & probability for data science and business analysis...
16. Linear Algebra for Data Science & Machine Learning - Math
Complete linear algebra - Mathematics for data science, machine learning & Deep Learning - Math for Data Science Algebra...
17. Mathematical Biostatistics Boot Camp 1
This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required...
18. Statistical Modeling for Data Science Applications
Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In this three credit sequence, learners will add some intermediate and advanced statistical modeling techniques to their data science toolkit. In particular, learners will become proficient in the theory and application of linear regression analysis; ANOVA and experimental design; and generalized...
19. Reliability Engineering Statistics
The Foundation in Probability and Statistics You Need to Understand Reliability Engineering...
20. Master Discrete Mathematics: Sets, Math Logic, and More
Master Discrete Mathematics: Learn and master all of Discrete Math - Logic, Set Theory, Combinatorics, Graph Theory, Etc...
Top 10 most affordable universities for mathematical engineers
The most affordable schools for mathematical engineers are University of Florida, california state university - long beach, and hunter college of the city university of new york.
If the best universities for mathematical engineers are out of your price range, check out these affordable schools. After factoring in in-state tuition and fees, the average cost of attendance, admissions rate, average net price, and mean earnings after six years, we found that these are the most affordable schools for mathematical engineers.
1. University of Florida
Gainesville, FL • Private
In-state tuition
$6,381
Cost of attendance
21,034
2. California State University - Long Beach
Long Beach, CA • Private
In-state tuition
$6,798
Cost of attendance
18,306
3. Hunter College of the City University of New York
New York, NY • Private
In-state tuition
$7,182
Cost of attendance
13,998
4. Baruch College of the City University of New York
New York, NY • Private
In-state tuition
$7,262
Cost of attendance
14,046
5. California State University - Los Angeles
Los Angeles, CA • Private
In-state tuition
$6,749
Cost of attendance
14,823
6. California State University - Bakersfield
Bakersfield, CA • Private
In-state tuition
$7,309
Cost of attendance
16,714
7. University of South Florida
Tampa, FL • Private
In-state tuition
$6,410
Cost of attendance
20,456
8. City College of New York of the City University of New York, The
New York, NY • Private
In-state tuition
$7,140
Cost of attendance
14,430
9. California State University - Fullerton
Fullerton, CA • Private
In-state tuition
$6,886
Cost of attendance
17,645
10. Florida International University
Miami, FL • Private
In-state tuition
$6,556
Cost of attendance
19,434
Top 10 hardest universities to get into for mathematical engineers
The hardest universities for mathematical engineers to get into are Northwestern University, University of Pennsylvania, and Columbia University in the City of New York.
Some great schools for mathematical engineers are hard to get into, but they also set your career up for greater success. The list below shows the most challenging universities to get into for mathematical engineers based on an institution's admissions rates, average SAT scores accepted, median ACT scores accepted, and mean earnings of students six years after admission.
1. Northwestern University
Evanston, IL • Private
Admissions rate
8%
SAT average
1,508
2. University of Pennsylvania
Philadelphia, PA • Private
Admissions rate
8%
SAT average
1,492
3. Columbia University in the City of New York
New York, NY • Private
Admissions rate
6%
SAT average
1,512
4. Carnegie Mellon University
Pittsburgh, PA • Private
Admissions rate
17%
SAT average
1,507
5. Johns Hopkins University
Baltimore, MD • Private
Admissions rate
11%
SAT average
1,513
6. Harvard University
Cambridge, MA • Private
Admissions rate
5%
SAT average
1,520
7. Stanford University
Stanford, CA • Private
Admissions rate
4%
SAT average
1,497
8. Washington University in St Louis
Saint Louis, MO • Private
Admissions rate
15%
SAT average
1,506
9. Cornell University
Ithaca, NY • Private
Admissions rate
11%
SAT average
1,471
10. University of Southern California
Los Angeles, CA • Private
Admissions rate
13%
SAT average
1,445
Top 10 easy-to-apply-to universities for mathematical engineers
The easiest schools for mathematical engineers to get into are Barry University, mount saint mary's university, and texas a&m; university - kingsville.
Some schools are much easier to get into. If you want to start your career as a mathematical engineer without much hassle, check out the list of schools where you will be accepted in no time. We compiled admissions rates, average SAT scores, average ACT scores, and average salary of students six years after graduation to uncover which were the easiest schools to get into for mathematical engineers.
1. Barry University
Miami, FL • Private
Admissions rate
91%
SAT average
1,006
2. Mount Saint Mary's University
Los Angeles, CA • Private
Admissions rate
84%
SAT average
1,031
3. Texas A&M University - Kingsville
Kingsville, TX • Private
Admissions rate
89%
SAT average
1,035
4. University of the Incarnate Word
San Antonio, TX • Private
Admissions rate
88%
SAT average
1,044
5. The University of Texas at El Paso
El Paso, TX • Private
Admissions rate
100%
SAT average
1,035
6. Gwynedd Mercy University
Gwynedd Valley, PA • Private
Admissions rate
92%
SAT average
1,031
7. Felician University
Lodi, NJ • Private
Admissions rate
81%
SAT average
999
8. San Francisco State University
San Francisco, CA • Private
Admissions rate
72%
SAT average
1,054
9. The University of Texas Permian Basin
Odessa, TX • Private
Admissions rate
91%
SAT average
1,046
10. Old Dominion University
Norfolk, VA • Private
Admissions rate
87%
SAT average
1,093
Average mathematical engineer salary by education level
| Mathematical engineer education level | Mathematical engineer salary |
|---|---|
| Master's Degree | $99,926 |
| Bachelor's Degree | $89,041 |
| Doctorate Degree | $110,243 |
Mathematical engineer education FAQs
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Updated January 8, 2025
Updated January 8, 2025