Computer Science vs Computer Engineering
Universities
use many similar discipline names which can make things confusing for future
international students. Computer science versus computer engineering is just
one of many examples you can find on the internet.
We have done
some research and our results should help clarify the differences between
computer science and computer engineering. Let's dive in!
Find
Master in Computer Science
Computer
Science vs Computer Engineering: Scope and Purpose
Throughout
this article, you will notice that these disciplines often overlap, but the
differences between them are important. If we could sum them up in a simple
sentence, we would say that computer science deals with data and algorithms,
while computer engineering focuses on hardware and firmware.
Computer
science began as a branch of mathematics, while computer engineering began (and
is still considered by some) as a branch of electrical engineering.
Computer
science students learn about computer theory, programming, environments,
algorithms, security and data transfer, etc. Computer engineering students
learn to develop, prototype, and test microchips, circuits, processors,
drivers, and any other components used in computing devices or systems (eg,
supercomputers, smartphones, laptops, servers, IoT devices). They also develop
firmware, an essential type of software that enables operating systems and
applications to take full advantage of hardware.
Computer
scientists work with computer theories, powerful algorithms, and mathematical
models that are used to develop software and systems. Computer scientists, on
the other hand, develop the hardware and firmware on which the software and
systems run.
Many
different abbreviations are used to denote Computer Science vs. Computer
Engineering: CS vs. CE / CEN, CompScience vs. CompEngineering, CompSci vs.
CompE, CpS vs. CpE.
Universities
that we recommend to study computer science
Northeastern
University, United States
University
of Bristol, UK
University
of Twente (UT), The Netherlands
IU
International University of Applied Sciences, Germany
Vrije
Universiteit Brussel (VUB), Belgium
Universities
that we recommend for computer engineering studies
Wichita
State University, USA
Solent
University, UK
University
of Padua, Italy
University
of Aarhus, Denmark
Vilnius
Gediminas Technical University, Lithuania
Online
Computer Studies We Recommend
University
of Bath Online
Lebanese
American Online University
Computer
science vs computer engineering specializations
In addition
to general computer science and engineering degrees, universities and colleges
also offer different majors or sub-disciplines if you want to focus more. Here
are some examples:
Computer
specializations
Artificial
intelligence
Machine
learning
Human-machine
interaction (HIC)
Data science
Cyber
security
Cloud
Computing
Video games
development
Computer
engineering specializations
Hardware systems
Distributed
computing
Robotics and
cybernetics
Embedded
systems
Infographics
and visualization
Computer
medical imaging
Computer and
network security
Team of
programmers analyzing code
Computer
Science vs Computer Engineering: courses offered
Here, the
border between the two disciplines becomes a bit blurred. This happens because
in some universities the differences are very small, most of the courses being
the same. In others, it is the exact opposite: only a few courses are common,
while most are different.
To find out
what you are really going to study, review the curriculum before choosing an
academic program and do not rely solely on the title of the program. If you
have any further questions, feel free to contact the university or college where
you wish to apply. They will be more than happy to help.
With that in
mind, let's take a look at some typical courses offered by general computer
science and computer engineering degrees:
Informatic
courses
Calculus
theory
Software
security
Infographics
Algorithms
and data structures
Calculation
Linear
algebra
Software
Engineering
Web
development
Cryptography
Programming
Computer
Engineering Course
Introduction
to electronics
Circuit
analysis
Signal
processing
Engineering
Computing
Embedded
systems
Computer
network
Computer
vision
Autonomous
robotics
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