Hard skills in computer science
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 computer science roles, knowledge of common computer languages can be helpful. Even if your job doesn’t involve writing code, understanding it can empower you to troubleshoot problems or identify aspects of a computer system that can be improved.
Different languages have different applications, so knowing which languages your company uses can help narrow down the list of ones to include on your resumé, especially if you are fluent 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 you’re familiar with.
Data analysis
Some jobs in computer science may require you to be familiar with how to analyze data. 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 your knowledge of software development. This demonstrates you understand the process of developing a software application, which involves developing big-picture ideas, coding and collaborating with team members cross-functionally.
Your resumé should emphasize what roles you have previously had in software development. With these details, employers can get a clearer understanding of your experience and how it fits in with their needs.
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.
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.
