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Build an exciting career in computer science with globally marketable courses from top-ranked universities.
As said by one of the early programmers in the history of computer science, computer science is no more about computers than astronomy is about telescopes. The world we live in is driven by technology and computer science is like the crux of technological evolution and innovation. There are a lot of sub-streams in computer science interconnected like a web but almost all are driven by one common fuel i.e programming languages.
- gain and enhance your skills in website development, creating desktop or mobile applications, software development, cyber security, robotics, data mining by enrolling yourself in computer science courses
- Learn how to process and extract insights from data using scientific methods, processes, algorithms with masters in data science and data analytics courses
- Graduates of bachelor degree in computer science are known for their proficiency in multiple programming languages, problem-solving and mathematical skills, and quickly adapting to new technology
- With Craydel, unlock the doors to the key to the world of computer technology and an opportunity to work with the biggest tech giants of the world
Top Marketable Careers for Computer Science Graduates
Career opportunities after an online computer science degree or a full-time CSE course are very wide, depending on what your area of interest is, which is more like where you want to apply your skills. For example, academic courses like data analytics degree, masters in data science, and online data science masters help you break into careers are:
Software Engineering
A software engineer is a person who apply scientific and mathematical principles in order to design, develop, maintain, test, and evaluate computer software that solves problems. They are the creative minds behind new computer programs.
They create, maintain, audit and improve systems to meet particular needs, often as advised by a systems analyst or architect, testing both hard and software systems to diagnose and resolve system faults. Almost every type of company relies on software infrastructure to some degree as new technology being developed has some type of software component.
Data Analysis
A data analyst organises data to identify trends that can be used to influence business decisions. Their methods and IT tools employ statistics and machine learning to assist in the collection and processing of data from a company, such as financial records, sales, prospects, and lead generation.
Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government, and education. Skilled analysts can also find roles in academic research or government advisory bodies.
Artificial Intelligence / Machine Learning
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. This field in computer science teaches the machine how to understand the human mind and react like humans.
Artificial intelligence will transform the global economy, and AI jobs are in high demand. Some AI jobs include machine learning engineer, data scientist, business intelligence developer, research scientist, and AI engineer.
Cyber Security
Cyber security analysts help to protect an organisation by employing a range of technologies and processes to prevent, detect and manage cyber threats.
Cyber security is a fast-growing field and cyber security skills are in demand. Professionals are employed by a variety of organisations across both the public and private sector however self-employment is an option for experienced analysts. You could set up your own cyber security company or work as an independent cyber security consultant. You could also work as a contractor through an agency.
Cloud Architecture
Cloud computing architecture refers to the front end platform, back end platform, a cloud based delivery, and the network components and subcomponents required for cloud computing. There are 4 main types of cloud computing: private clouds, public clouds, hybrid clouds, and multi clouds. There are also 3 main types of cloud computing services: Infrastructure-as-a-Service (IaaS), Platforms-as-a-Service (PaaS), and Software-as-a-Service (SaaS).
A cloud architect is responsible for overseeing a company's cloud computing strategy. This includes cloud adoption plans, cloud application design, and cloud management and monitoring. They also need to integrate tools and services for all areas of cloud computing, such as data and networks.
Computer Systems Analysis
Systems analysis the process of observing systems for troubleshooting or development purposes. It is applied to information technology, where computer-based systems require defined analysis according to their makeup and design.
Also known as systems designers, computer analysts initiate computer system upgrades, write and publish technical reports and requirements, configure hardware and software, train end-users, and ensure that businesses use computer technology efficiently.
Network Architecture
Network architecture is the design of a computer network. It refers to how computers are organized in a system and how tasks are allocated between these computers. Network architecture consists of transmission equipment, software and communication protocols, and infrastructure (i.e. wired or wireless) transmission of data and connectivity between components.
Computer network architects design, build and maintain a variety of data communication networks, from expansive cloud infrastructures to smaller intranets. Along with a host of technical skills, computer network architects also have a deep understanding of the company or organization's business plans and objectives.
Game Development
Game development refers to the act of creating a game; sometimes referred to as “gamedev". The game development process typically requires working alongside and getting input from one or more game designers, artists, programmers, animators, testers, project managers, etc.
Game developers produce games for personal computers, games consoles, social/online games, arcade games, tablets, mobile phones, and other hand-held devices. This role splits into two main parts - the creative side of designing a game and the art, and the programming side, using programming languages.
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Check out the list of most popular questions around computer science programs
What is Computer Science?
Computer science is the study of computers and computational systems using algorithmic processes, computational machines and techniques. It is a field of study to design and analyze algorithms to solve programs and study the performance of computer hardware and software.
What are the subjects needed to study Computer Science?
Physics, Chemistry, and Mathematics as core subjects are required for entering an undergraduate program like BSc Computer Science and Bachelor in Computer Science. Having computer science and related subjects like networking, will give you an edge.
Many universities have entrance exams for computer engineering courses. If you’re going for a masters degree, having a prior bachelor’s degree in computer science, computer engineering, electronics and communication engineering are often preferred.
However, different universities have different requirements for different courses. Ask the experts at Craydel for further guidance on what the qualifications for your desired course are.
How many years do you study for a Computer science degree?
- Bsc Computer science: 3 years
- Bachelor of computer applications: 3 years
- MS in Computer Science/Data Analytics/ Data Science: 2 year
- Msc in Big Data Management and Analytics : 1 year
What are the best courses for Computer Science?
BE Computer Science and Bsc Computer Science are the most popular bachelor's degrees in the world. Bachelor in computer applications is a proliferating course among students.
MSc/MS in Computer Science gives you an edge over your peers as a software engineer among employers. MS in Data Science and Data Analytics focus on data analysis which are needed by a variety of industries these days. A Postgraduate Diploma in Artificial Intelligence focuses on deeper aspects of a very quickly growing technology i.e AI, intelligence demonstrated by machines.
There are various specialization courses you can choose from if you are interested in a particular field of computer science. For example, you can study a Full stack development course of shorter duration if you are interested in developing web applications and websites.
What are the different careers in Computer Science?
Software developer: This in itself, contains a plethora of career paths and fields like game development, industry specific software development, web application development, Android and ioS development. Depending on the technology you are interested and passionate about, there are roles like machine learning engineer, Data Scientist, Cyber security, blockchain specialist, Systems Applications and Products(SAP) specialist etc.
Computer science has programming languages at it’s crux and you can develop software products and services once you master them. Various career paths need you to learn specific programming languages. For example, as a data scientist, you must have a command over languages like R and python. Web application development needs a fluency in Javascript, PHP, Ruby etc.
For an indepth look into some of the most popular specialisations, check out our “Top Marketable Careers for Computer Science Graduates” section above.
How can Craydel help me find the best Computer Science courses?
Students and professionals around the world often find bachelor's degree insufficient to reach their ultimate career goal. Craydel’s advanced assessments and experts broaden your perspectives while choosing a goal and allow you to create your own Optimus Prime.
From a variety of universities in Kenya, the USA and different parts of Europe, providing best computer science engineering courses and data science masters programs to the proper guidance in the admissions process and course structure fitting your requirements, be it online or in campus teaching.