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There are several educational requirements to become an adjunct professor computer sciences. Adjunct professors computer sciences usually study computer science, electrical engineering, or business. 54% of adjunct professors computer sciences hold a bachelor's degree, and 30% hold an master's degree. We analyzed 210 real adjunct professor computer sciences resumes to see exactly what adjunct professor computer sciences education sections show.
The most common colleges for adjunct professors computer sciences are the University of Phoenix and the University of Phoenix.
There are also many online adjunct professor computer sciences courses to help get the education required to be an adjunct professor computer sciences.
| Adjunct professor computer sciences common college | Percentages |
|---|---|
| University of Phoenix | 10.00% |
| Capella University | 8.00% |
| Stevens Institute of Technology | 8.00% |
| Temple University | 6.00% |
| Hawaii Pacific University | 6.00% |
| Rank | Major | Percentages |
|---|---|---|
| 1 | Computer Science | 36.5% |
| 2 | Electrical Engineering | 9.4% |
| 3 | Business | 8.8% |
| 4 | Mathematics | 6.5% |
| 5 | Computer Engineering | 4.7% |
The best colleges for adjunct professors computer sciences are University of Pennsylvania, Carnegie Mellon University, and Northwestern University.
An adjunct professor computer sciences with advanced education typically earns a higher salary and has access to better jobs. That's why Zippia looked into the best colleges for adjunct professors computer sciences. 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 adjunct professors computer sciences.
Philadelphia, PA • Private
In-state tuition
$55,584
Enrollment
10,764
Pittsburgh, PA • Private
In-state tuition
$55,465
Enrollment
6,483
Seattle, WA • Private
In-state tuition
$11,207
Enrollment
30,905
New York, NY • Private
In-state tuition
$51,828
Enrollment
26,339
Minneapolis, MN • Private
In-state tuition
$14,760
Enrollment
31,451
Evanston, IL • Private
In-state tuition
$54,568
Enrollment
8,451
Boston, MA • Private
In-state tuition
$53,948
Enrollment
17,238
New York, NY • Private
In-state tuition
$59,430
Enrollment
8,216
Austin, TX • Private
In-state tuition
$10,610
Enrollment
40,329
Los Angeles, CA • Private
In-state tuition
$56,225
Enrollment
19,548
1. Introduction to Computer Science and Programming
This specialisation covers topics ranging from basic computing principles to the mathematical foundations required for computer science. You will learn fundamental concepts of how computers work, which can be applied to any software or computer system. You will also gain the practical skillset needed to write interactive, graphical programs at an introductory level. The numerical mathematics component will provide you with numerical and computational tools that are essential for the problem...
2. Computational Social Science
For more information please view the Computational Social Science Trailer\n\nDigital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.\n\nAn increasing part...
3. Computer Science 101 - Computers & Programming for Beginners
Understand the basic concepts behind Computers, Computer Science, Programming and Programming Languages...
4. CS101 Bootcamp: Introduction to Computer Science & Software
A Computer Science & software programming / coding bootcamp for absolute beginners. No coding background necessary...
5. Accelerated Computer Science Fundamentals
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lists, trees, heaps and graphs, as well as algorithms for traversals, rebalancing and shortest paths.\n\nThis Specialization sequence is designed to help prospective applicants to the flexible and affordable Online Master of Computer Science (MCS) and MCS in Data Science prepare...
6. 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...
7. Introduction to Computer Science
Computer Science made fun and easy...
8. Computer Science 101: Master the Theory Behind Programming
Computer Science 101: Learn Computer Science to become a better Programmer and Software Engineer...
9. Cloud Computing Concepts, Part 1
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Some of these concepts include: clouds, MapReduce, key-value/NoSQL stores, classical distributed algorithms, widely-used distributed algorithms, scalability, trending areas, and much, much more! Know how these...
10. Principles of Computing (Part 2)
This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the...
11. The Foundations of Computer Design
Learn how basic computers are designed - a fundamental topic in computer science...
12. Computer Architecture and Computer Organization Masterclass
Full Program: Computer Organization, Computer Architecture, Instruction Set, CPU, Memory Hierarchy (FREE Lecture Notes)...
13. Computational Social Science Capstone Project
CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the...
14. Computing for Cancer Informatics
One of the key cancer informatics challenges is dealing with and managing the explosion of large data from multiple sources that are often too large to work with on typical personal computers. This course is designed to help researchers and investigators to understand the basics of computing and to familiarize them with various computing options to ultimately help guide their decisions on the topic. This course aims to provide research leaders with awareness and guidance about: Basic computing...
15. Computer Networking Fundamentals
Learn all about the basics of computer networking fundamental concepts and network security concepts...
16. Computer Networks Fundamentals
Use this course to cover your Computer Networking basics!...
17. Computational Social Science Methods
This course gives you an overview of the current opportunities and the omnipresent reach of computational social science. The results are all around us, every day, reaching from the services provided by the world’s most valuable companies, over the hidden influence of governmental agencies, to the power of social and political movements. All of them study human behavior in order to shape it. In short, all of them do social science by computational means. In this course we answer three...
18. Introduction to Discrete Mathematics for Computer Science
Discrete Mathematics is the language of Computer Science. One needs to be fluent in it to work in many fields including data science, machine learning, and software engineering (it is not a coincidence that math puzzles are often used for interviews). We introduce you to this language through a fun try-this-before-we-explain-everything approach: first you solve many interactive puzzles that are carefully designed specifically for this online specialization, and then we explain how to solve the...
19. Computer Architecture & Organization Part 1: Cache Memory
Master Computer Architecture and Organization as it forms the core of computer science...
20. Cloud Computing Fundamentals
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The most affordable schools for adjunct professors computer sciences are Baruch College of the City University of New York, brooklyn college of the city university of new york, and california state university - los angeles.
If the best universities for adjunct professors computer sciences 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 adjunct professors computer sciences.
New York, NY • Private
In-state tuition
$7,262
Cost of attendance
14,046
Brooklyn, NY • Private
In-state tuition
$7,240
Cost of attendance
13,991
Los Angeles, CA • Private
In-state tuition
$6,749
Cost of attendance
14,823
Tampa, FL • Private
In-state tuition
$6,410
Cost of attendance
20,456
Minot, ND • Private
In-state tuition
$7,064
Cost of attendance
15,576
Mayaguez, PR • Private
In-state tuition
$4,094
Cost of attendance
14,302
Tallahassee, FL • Private
In-state tuition
$5,656
Cost of attendance
21,623
Provo, UT • Private
In-state tuition
$5,620
Cost of attendance
18,136
Farmingdale, NY • Private
In-state tuition
$8,306
Cost of attendance
16,091
Socorro, NM • Private
In-state tuition
$7,770
Cost of attendance
21,244
The hardest universities for adjunct professors computer sciences to get into are University of Pennsylvania, Carnegie Mellon University, and Northwestern University.
Some great schools for adjunct professors computer sciences 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 adjunct professors computer sciences based on an institution's admissions rates, average SAT scores accepted, median ACT scores accepted, and mean earnings of students six years after admission.
Philadelphia, PA • Private
Admissions rate
8%
SAT average
1,492
Pittsburgh, PA • Private
Admissions rate
17%
SAT average
1,507
Evanston, IL • Private
Admissions rate
8%
SAT average
1,508
New York, NY • Private
Admissions rate
6%
SAT average
1,512
New York, NY • Private
Admissions rate
20%
SAT average
1,419
Boston, MA • Private
Admissions rate
22%
SAT average
1,420
Los Angeles, CA • Private
Admissions rate
13%
SAT average
1,445
Boston, MA • Private
Admissions rate
19%
SAT average
1,466
Washington, DC • Private
Admissions rate
42%
SAT average
1,380
Baltimore, MD • Private
Admissions rate
11%
SAT average
1,513
The easiest schools for adjunct professors computer sciences to get into are Barry University, oklahoma wesleyan university, and capitol technology university.
Some schools are much easier to get into. If you want to start your career as an adjunct professor computer sciences 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 adjunct professors computer sciences.
Miami, FL • Private
Admissions rate
91%
SAT average
1,006
Bartlesville, OK • Private
Admissions rate
68%
SAT average
964
Laurel, MD • Private
Admissions rate
69%
SAT average
1,070
Gwynedd Valley, PA • Private
Admissions rate
92%
SAT average
1,031
Ottawa, KS • Private
Admissions rate
78%
SAT average
1,024
Lodi, NJ • Private
Admissions rate
81%
SAT average
999
Crestview Hills, KY • Private
Admissions rate
90%
SAT average
1,099
El Paso, TX • Private
Admissions rate
100%
SAT average
1,035
Baltimore, MD • Private
Admissions rate
78%
SAT average
1,020
New Rochelle, NY • Private
Admissions rate
88%
SAT average
1,089
| Adjunct professor computer sciences education level | Adjunct professor computer sciences salary |
|---|---|
| Master's Degree | $94,253 |
| Doctorate Degree | $120,264 |