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What are the most important computer science skills?

Hard computer science skills

Careers in computer science rely on technical knowledge, which is also known as hard skills. These skills are directly related to job duties and can be learned and honed through professional development programs or advanced degree courses like a master’s degree in information systems. Here are some examples of common hard skills in computer science careers.

Coding Languages

In many , knowledge of common computer languages can be helpful. Even if a job doesn’t involve writing code, understanding it can empower IT professionals to troubleshoot problems or identify aspects of a computer system that can be improved.

Different languages have different applications, so knowing which languages a company uses can help narrow down the list of ones to include on a resumé, especially fluency in several of them.

While coding languages differ quite a bit in syntax, philosophy and other structural elements, some programming concepts are virtually universal. Because of that, it doesn’t hurt to mention other languages candidates are familiar with. 

Data analysis

Some jobs in computer science may require familiarity with how to . This means knowing how to collect and organize data, and how to form conclusions based on that data.

Data analysis can play an important role in making applications more efficient. It can highlight bottlenecks as well as identify procedural areas in need of improvement. For instance, if the data shows that many users are experiencing similar computer issues while installing an application or signing up for an account, analysis may indicate there is a problem to solve with those processes.

Software development

Along with coding languages, it’s important to express knowledge of software development. This demonstrates an understanding of the process of developing a software application, which involves developing big-picture ideas, coding and collaborating with team members cross-functionally.

A resumé for this role should emphasize previous roles in software development. With these details, employers can get a clearer understanding of the candidates experience and how it fits in with their needs.

Technical writing

Among essential computer science skills is technical writing. Often, professionals in computer science must not only perform technical duties. They may need to explain technical issues with processes or software too. This includes what the issue is, how it was found, the impacts of the issue and how to fix it. For this reason, it’s important to have skills in technical writing. IT professionals may find themselves providing documentation for how to perform processes like creating new accounts or connecting machines to a network. Technical writing skills are important so that these concepts are explained clearly and can be performed consistently.

Soft computer science skills

Soft skills help make a resumé more well rounded, adding to the overall picture that prospective employers see when considering a candidate. The following skills are examples of the types of skills many employers find valuable in IT and beyond.

Problem solving

Problem-solving is another of the essential soft computer science skills for working in computer science and IT. This may be an intriguing field to study and embark upon for someone with a natural curiosity to learn how to solve a problem. It’s also important to be able to explain what problems may be uncovered and how to fix them.

Communication

Communication is important in just about every profession, and computer science jobs are no exception. Because of the work’s technical nature, it helps to be able to explain concepts clearly to people who work outside of IT. This is also true when warning team members of possible security risks.

Even within the technical sphere, good communication is helpful among computer science skills. Computer code is usually used and maintained by a team, for example, so concise documentation and comments within the code can help others quickly understand the program.

It is also vital to be able to explain potential issues to the rest of the team so they can work efficiently.

Time management

Being able to prioritize time is essential for success in most careers, including computer science. Team members depend on each other's work to do theirs. This work could also potentially impact productivity throughout the company.

Within certain fields like software development, this skill is especially vital when quick coding is required. Additionally, there may be times when another team member’s task depends on others' being completed, so recognizing this and prioritizing these jobs is helpful.

Teamwork

Computer science professionals often work as a team, collaborating on code or orchestrating complex, companywide networks. Hiring managers value employees who can work well as part of a team.

Teamwork involves a variety of interpersonal skills, such as recognizing teammates’ strengths and delegating tasks effectively.

In a role like software development, this could include knowing when and whom to ask for coding advice on a specific branch of code. In a field like IT, this could mean knowing which team members have more experience with an aspect of the company computer system. 

Eye for detail

Debugging code and troubleshooting computer systems can be difficult. Since so many small and large variables can have a considerable impact, it’s essential to be observant and meticulous. An error as simple as a misplaced decimal point in a code or an improperly configured network can cause significant issues.

While it is useful to be able to debug code by being observant, it is just as helpful to be able to reduce errors while writing code. Writing bug-free code may be virtually impossible, but writing code while being mindful of decisions concerning logic and syntax can help keep major bugs out of the picture.