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Classifier education requirements
Updated January 8, 2025
4 min read
There are several educational requirements to become a classifier. Classifiers usually study business, chemical engineering, or electrical engineering. 63% of classifiers hold a bachelor's degree, and 15% hold an associate degree. We analyzed 216 real classifier resumes to see exactly what classifier education sections show.
The most common colleges for classifiers are the Bridgewater College and the Bridgewater College.
There are also many online classifier courses to help get the education required to be a classifier.
What education do you need to become a classifier?
What degree do you need to be a classifier?
- Bachelor's, 63%
- Associate, 15%
- High School Diploma, 11%
- Master's, 6%
- Other Degrees, 5%
What should I major in to become a classifier?
- Business, 12%
- Chemical Engineering, 12%
- Chemistry, 8%
- Other Majors, 56%
Most common colleges for classifiers
| Classifier common college | Percentages |
|---|---|
| Bridgewater College | 13.95% |
| Virginia Polytechnic Institute and State University | 13.95% |
| James Madison University | 13.95% |
| University of Virginia | 9.30% |
| ECPI University | 4.65% |
Best majors for classifiers
| Rank | Major | Percentages |
|---|---|---|
| 1 | Business | 11.8% |
| 2 | Chemical Engineering | 11.8% |
| 3 | Electrical Engineering | 11.8% |
| 4 | Chemistry | 7.5% |
| 5 | Computer Information Systems | 7.5% |
Best colleges for classifiers
The best colleges for classifiers are Stanford University, Northwestern University, and University of Pennsylvania.
A classifier with advanced education typically earns a higher salary and has access to better jobs. That's why Zippia looked into the best colleges for classifiers. 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 classifiers.
1. Stanford University
Stanford, CA • Private
In-state tuition
$51,354
Enrollment
7,083
2. University of Pennsylvania
Philadelphia, PA • Private
In-state tuition
$55,584
Enrollment
10,764
3. Northwestern University
Evanston, IL • Private
In-state tuition
$54,568
Enrollment
8,451
4. University of Southern California
Los Angeles, CA • Private
In-state tuition
$56,225
Enrollment
19,548
5. California State University - Bakersfield
Bakersfield, CA • Private
In-state tuition
$7,309
Enrollment
9,142
6. SUNY at Binghamton
Vestal, NY • Private
In-state tuition
$9,808
Enrollment
13,990
7. San Diego State University
San Diego, CA • Private
In-state tuition
$7,488
Enrollment
30,018
8. Boston University
Boston, MA • Private
In-state tuition
$53,948
Enrollment
17,238
9. New York University
New York, NY • Private
In-state tuition
$51,828
Enrollment
26,339
10. Worcester Polytechnic Institute
Worcester, MA • Private
In-state tuition
$50,530
Enrollment
4,571
20 best online courses for classifiers
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1. Support Vector Machine Classification in Python
In this 1-hour long guided project-based course, you will learn how to use Python to implement a Support Vector Machine algorithm for classification. This type of algorithm classifies output data and makes predictions. The output of this model is a set of visualized scattered plots separated with a straight line. You will learn the fundamental theory and practical illustrations behind Support Vector Machines and learn to fit, examine, and utilize supervised Classification models using SVM to...
2. Supervised Machine Learning: Classification
This course introduces you to one of the main types of modeling families of supervised Machine Learning: Classification. You will learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes. By the end of this course you should be able to: -Differentiate...
3. Patents & Trademarks: Learn the Patent and Trademark Process
2 courses in 1. Learn the process for patenting your idea, invention and how to trademark you brand...
4. Certificate course in Intellectual Property Rights (IPR)
This course has been designed by experts to cover the basics of IPR and understand Patents, Trademarks and Copyright...
5. Intellectual Property Law
Intellectual property is the currency of the tech world. The pharmaceutical patent for Lipitor generated over $100 billion in revenue, the copyright for the Harry Potter franchise has generated over $25 billion to date, and the trademarked brands of the world’s largest tech companies now eclipse $100 billion in value. But what makes these intangible assets so valuable?\n\nThrough the courses in this specialization, you will learn the differences between the various forms of U.S. intellectual...
6. Classification and valuation - What you must know!
This is the second course in Tax Academy's Customs Certification. This certification would provide you with relevant skills to apply Customs knowledge in less than two months. In this course, you will build upon your knowledge on legal principles of classification and valuation of goods. Once you are able to correctly classify and declare the value of goods, you will be able to take accurate decisions about Customs duty payment and ascertain other compliance requirements. Correct classification...
7. Do-It-Yourself Patent Searching Using Free Web Resources
Is what you invent patentable? Use free websites to thoroughly search patents. For the novice inventor and entrepreneur...
8. Intellectual Property Security Awareness
How to Use Social Media without Infringing on Trademarks, Copyrights, Trade Secrets and Patents...
9. Scikit-Learn For Machine Learning Classification Problems
Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems. In this project, we will learn how to build and train classifier models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests,...
10. Regression and Classification
Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that...
11. Operating Systems Final Part (4): File Systems & Threads
Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...
12. Machine Learning Classification Bootcamp in Python
Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn...
13. Introduction to Intellectual Property
Intellectual property is the currency of the tech world, with the world’s most valuable intellectual property assets dwarfing the value of their real-world counterparts. Apple’ trademarked brand was valued at over $100 billion as of 2017. J.K. Rowling’s Harry potter franchise has generated over $25 billion to date. But how did the law come to create such enormous value in intangible assets? This course will introduce the various types of U.S. intellectual property: patents, which cover...
14. Handling Imbalanced Data Classification Problems
In this 2-hour long project-based course on handling imbalanced data classification problems, you will learn to understand the business problem related we are trying to solve and and understand the dataset. You will also learn how to select best evaluation metric for imbalanced datasets and data resampling techniques like undersampling, oversampling and SMOTE before we use them for model building process. At the end of the course you will understand and learn how to implement ROC curve and...
15. Machine Learning for Data Analysis: Classification Modeling
Machine Learning made simple with Excel! Classification for advanced data analysis & business intelligence (no coding!)...
16. Operating Systems from scratch - Part 2
Learn memory management in operating systems as operating system forms the core of computer science...
17. Intellectual Property in the Healthcare Industry
This course begins with an overview of general intellectual property law in the United States, then examines how the policy choices behind those laws shapes the behavior of major players in the healthcare industry. We will examine how patents and trademarks shape the behavior of pharmaceutical companies, and how complex issues involving medical research in university settings, and ownership of genetic information and material, are resolved by intellectual property laws. The course concludes...
18. Language Classification with Naive Bayes in Python
In this 1-hour long project, you will learn how to clean and preprocess data for language classification. You will learn some theory behind Naive Bayes Modeling, and the impact that class imbalance of training data has on classification performance. You will learn how to use subword units to further mitigate the negative effects of class imbalance, and build an even better model...
19. Operating Systems Part 3: Synchronization and Deadlock
Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science...
20. Image Classification with Amazon Sagemaker
Please note: You will need an AWS account to complete this course. Your AWS account will be charged as per your usage. Please make sure that you are able to access Sagemaker within your AWS account. If your AWS account is new, you may need to ask AWS support for access to certain resources. You should be familiar with python programming, and AWS before starting this hands on project. We use a Sagemaker P type instance in this project, and if you don't have access to this instance type, please...
Top 10 most affordable universities for classifiers
The most affordable schools for classifiers are California State University - Bakersfield, suny farmingdale, and brooklyn college of the city university of new york.
If the best universities for classifiers 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 classifiers.
1. California State University - Bakersfield
Bakersfield, CA • Private
In-state tuition
$7,309
Cost of attendance
16,714
2. SUNY Farmingdale
Farmingdale, NY • Private
In-state tuition
$8,306
Cost of attendance
16,091
3. Brooklyn College of the City University of New York
Brooklyn, NY • Private
In-state tuition
$7,240
Cost of attendance
13,991
4. California State University - Dominguez Hills
Carson, CA • Private
In-state tuition
$6,942
Cost of attendance
14,469
5. Brigham Young University
Provo, UT • Private
In-state tuition
$5,620
Cost of attendance
18,136
6. California State University - Long Beach
Long Beach, CA • Private
In-state tuition
$6,798
Cost of attendance
18,306
7. University of Puerto Rico - Mayaguez
Mayaguez, PR • Private
In-state tuition
$4,094
Cost of attendance
14,302
8. California State University - Los Angeles
Los Angeles, CA • Private
In-state tuition
$6,749
Cost of attendance
14,823
9. New Mexico Institute of Mining and Technology
Socorro, NM • Private
In-state tuition
$7,770
Cost of attendance
21,244
10. Baruch College of the City University of New York
New York, NY • Private
In-state tuition
$7,262
Cost of attendance
14,046
Top 10 hardest universities to get into for classifiers
The hardest universities for classifiers to get into are Stanford University, Northwestern University, and University of Pennsylvania.
Some great schools for classifiers 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 classifiers 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. Stanford University
Stanford, CA • Private
Admissions rate
4%
SAT average
1,497
2. Northwestern University
Evanston, IL • Private
Admissions rate
8%
SAT average
1,508
3. University of Pennsylvania
Philadelphia, PA • Private
Admissions rate
8%
SAT average
1,492
4. University of Southern California
Los Angeles, CA • Private
Admissions rate
13%
SAT average
1,445
5. Boston University
Boston, MA • Private
Admissions rate
22%
SAT average
1,420
6. New York University
New York, NY • Private
Admissions rate
20%
SAT average
1,419
7. Vanderbilt University
Nashville, TN • Private
Admissions rate
10%
SAT average
1,514
8. Rensselaer Polytechnic Institute
Troy, NY • Private
Admissions rate
43%
SAT average
1,415
9. George Washington University, The
Washington, DC • Private
Admissions rate
42%
SAT average
1,380
10. University of Rochester
Rochester, NY • Private
Admissions rate
29%
SAT average
1,422
Top 10 easy-to-apply-to universities for classifiers
The easiest schools for classifiers to get into are Oklahoma Wesleyan University, barry university, and nyack college.
Some schools are much easier to get into. If you want to start your career as a classifier 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 classifiers.
1. Oklahoma Wesleyan University
Bartlesville, OK • Private
Admissions rate
68%
SAT average
964
2. Barry University
Miami, FL • Private
Admissions rate
91%
SAT average
1,006
3. Nyack College
New York, NY • Private
Admissions rate
98%
SAT average
999
4. La Roche College
Pittsburgh, PA • Private
Admissions rate
99%
SAT average
1,008
5. LIM College
New York, NY • Private
Admissions rate
83%
SAT average
1,061
6. Notre Dame College
Cleveland, OH • Private
Admissions rate
90%
SAT average
994
7. Saint Martin's University
Lacey, WA • Private
Admissions rate
96%
SAT average
1,111
8. Cardinal Stritch University
Milwaukee, WI • Private
Admissions rate
71%
SAT average
1,035
9. Iona College
New Rochelle, NY • Private
Admissions rate
88%
SAT average
1,089
10. Holy Names University
Oakland, CA • Private
Admissions rate
70%
SAT average
849
Average classifier salary by education level
| Classifier education level | Classifier salary |
|---|---|
| Master's Degree | $42,732 |
| Bachelor's Degree | $33,232 |
| Doctorate Degree | $47,574 |
Classifier education FAQs
Have more questions? See all answers to common education, training, and library questions.
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Updated January 8, 2025
Updated January 8, 2025