Computer Science VS Computer Engineering
Many people have confusion, if computer engineering and computer science same? And it is very difficult to find the difference between computer science vs Computer engineering because both ultimately work with data processing and data communication with in computer system. Also Both deals with computing technology and solve the problems using computer system. There is significant overlap between these courses and in career path. Graduates from these both course will work in similar field in future. Like software engineer vs software developer there are vast difference between computer science and Computer engineering which is discussed below clearly.
What is computer engineering?
The course of Computer engineering is like the combination of computer science and Electronics engineering. The computer engineering focuses on all forms of computing systems including laptop and desktop computers to pre-computer and microprocessors to embedded computing devices. Also, Computer engineering courses described about how microprocessors functions are designed and optimized, how computer’s data are communicated through electric circuits and among electronics components. Additionally how integrated systems of electronics components are operate to perform their task described in software and how do they operated. Computer engineering also concerns about how to write the code for software, compilation process and optimization process for specific hardware platforms. Therefore computer engineering is same as the electrical engineering and also specialized in hardware design, software design and system design that integrates both.
- Computer Engineering mainly focus on computer hardware and computer Software.
- Computer Engineering is the integration of Computer science and electrical engineering.
- To enrolled computer engineering course you must complete undergraduate degree in engineering or equivalent course.
- Computer Engineering course is more difficult than computer science courses.
- Computer Engineers are more expensive than computer science graduates in market.
What is Computer Science
Computer science is mainly deals with how instructions and data are stored, processed and communicated by the computer and computing systems. Course of Computer science is almost similar to the course of information technology. According to the modern definition Electrical engineering and applied mathematics the computer science deals with the algorithms for processing data, the symbol and symbolic representation of data and instructions, problem solving technique and technique to write build the system that process data on a vibrant range of computing platforms, designing of instructions languages for processing. Computer science also deals with the protocols for communicating data, constructions and maintenance of varieties of database for the organizations, emulations of human intelligence and learning computer algorithms, technique for protecting data from unauthorized access. Therefore, like computer engineering, computer science does not deals with electronics circuits and devices. But only with the computer and software system.
- Computer science course is mainly focused on four major areas including theory, algorithms, programming languages and architecture.
- To undertake computer science course in graduate level it does not need to earn associated degree in engineering field.
- This course only deals with software developments components, system security, database management and does not focus on how electronic devices are communicating with their programs.
- Computer Science courses are more easier than computer engineering courses.
- Computer science students are cheaper in marker than computer engineer equivalent to IT (information technology ) graduates.
Comparison of Course Computer Science vs Computer engineering
- Microprocessors / Microcontroller System
- Embedded digital System
- Processor interfacing
- Wireless networking
- digital Logic Design
- Solid state physics
- Theory of Computation
- Network security and privacy
- Algorithms and numerical analysis
- Coding and Cryptography
- Programming Languages