Computer science engineering is concerned with the study of the basic structure of how the software performs its tasks. It is the task of computer science engineers to make sense of the mathematical formulae of the real world and convert it into a series of steps that the computer can follow. Computer science is traditionally more concerned with the theoretical underpinnings of computation and programming; thus one typically finds courses in programming, algorithms, numerical analysis (how do you guarantee a number produced by a computer program is accurate), and the theory of computation (what can and cannot in principle be computed). Computer science engineering is concerned with the theory of computing, programming languages, operating system, artificial intelligence, scientific computing, cryptography and computational complexity. Computer science is more about the theory of software, algorithms, data structures, networks, databases, etc.

Computer Science is one of the most profitable and competitive course to study. In comparison to other sectors, computer science graduates fetch higher salaries in the beginning.

Functions
	It includes the knowledge of programming, data structures, digital logic, theoretical computer science, algorithms, computer networks, operating systems, web technologies, databases, computer architecture, etc.
	Study of how data and instructions are processed, stored, communicated by computing devices
	It deals with the algorithms for processing data, symbolic representation of data and instructions, design of instruction languages for processing data.
	Techniques for writing software that process data on a variety of computing platforms
	Protocols for communicating data reliably and securely across networks
	Emulation of human intelligence and learning through computer algorithms
	Statistical modelling of data in large databases to support inference of trends, and techniques for protecting the content and authenticity of data
	Algorithmic analysis- creation, optimization and debugging of algorithms
	Software systems- the implementation of software, different environments, compilers and operating systems
	Theory- the basic theory of which tasks can be completed in computational manner and which cannot be completed
	Practice as computer professionals, conducting research and leading, designing, developing or maintaining projects in various technical areas
	Ability to design and conduct experiments, as well as to analyse and interpret data
	Ability to analyse a problem, and identify and define the computing requirements appropriate to its solution
	Ability to apply design and development principles in the construction of software systems of varying complexity
	Ability to identify, formulate and solve computer science and engineering problems and define the computing requirements appropriate to their solutions.