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/6 min read

What to Learn After Computer Science

Where CS Fundamentals Lead Next

Full-Stack Development

Apply CS theory to real web work — frontend, backend, databases, deployment.

Machine Learning

Linear algebra + statistics on top of your CS base unlocks ML and AI engineering.

Distributed Systems

Consensus, replication, sharding — where strong CS fundamentals translate to senior infrastructure roles.

Security

Cryptography, exploitation, secure systems design — heavy on theory, high-paying career path.

Master Web Development at Noble Desktop

Noble Desktop's Full Stack Development Certificate covers HTML, CSS, JavaScript, React, Node, and the modern web stack employers hire for.

Master the vast field of computer science with our inclusive guide covering everything from web development and software engineering to data science. Discover the most sought-after skills such as Python, data visualization, and product management to enhance your career opportunities.

Key Insights

  • Computer science is a broad domain involving hardware and software development, machine learning algorithms, information and computational theory.
  • Key specializations in computer science include programming languages like Java, development and application of robotics, and creating new systems, tools, and languages.
  • The U.S. Bureau of Labor Statistics projects a 21% growth rate between 2021-2031 for computer and information research scientists, signaling promising career opportunities.
  • Data visualization tools like Tableau and Power BI are gaining prominence among computer science professionals, particularly those in data or business analytics.
  • Python has emerged as one of the most popular programming languages and is widely used across various spheres of computer science.
  • Management skills are critical for roles like Project Managers, Product Managers, or IT Operations Managers within the computer science field.

Computer science focuses on developing and implementing complex tools, platforms, and systems. This broad field encompasses hardware and software development, machine learning algorithms, and information and computational theory. If you already have some computer science skills, consider adding others to your arsenal. For example, a Web Developer might not know data visualization tools, whereas a Biotech Engineer might not know Python.

We’ll cover Python, data visualization, and product management below so you have a clear understanding of which skills you want to tackle next.

What is Computer Science?

Computer science is an immense field that encompasses the study of information systems, computation, and automation. Hardware and software design, machine learning algorithms, and data visualization fall under the computer science purview.

On the theoretical side, computer science includes information theory, algorithms, and computational theory. The practical side of computer science covers hardware and software design and implementation. While data science has emerged as a discrete discipline in recent years, many computer science pros still consider it a subcategory of the larger computer science field.

Read more about what computer science is and why you should learn it.

What Can You Do with Computer Science?

Computer science classes cover a wide range of subjects, encompassing anything from web development and software engineering to data science. Tools like Python and Java are popular among numerous career paths in this growing field, and as far as computer science applications go, the sky’s the limit.

According to the U.S. Bureau of Labor Statistics (the BLS), the Computer and Information Research Scientist job outlook is especially bright: they estimate a 21% growth rate between 2021-2031, well above the average growth rate of five percent. Top positions for computer science professionals include Software Developers, IT Security Analysts, Data Scientists, and Product Managers.

Areas of specialization for computer science professionals include programming languages like Java, the development and application of robotics, and the development of new systems, tools, and programming languages. In our ever-more connected digital world, computer science generalists and specialists can thrive both now and in the future.

Data Visualization

Data visualization tools like Tableau and Power BI have become increasingly important to computer science professionals, especially those in data or business analytics. These powerful technologies help data-centered pros collect, analyze, and present information in a business or research context.

If you work in IT, data analysis, or business analysis, you may already be familiar with Tableau, Power BI, or both. Those new to these technologies can learn through a program like Noble Desktop’s Tableau Bootcamp.

Many tech professionals in web development do not learn data visualization as part of their training. Consider adding this to your skill set once you’ve mastered computer science basics for your current or next role.

Python and Related Tools

Chances are good that if you’re learning computer science, you’re learning Python and some of its libraries and frameworks—like Django, NumPy, and scikit-learn, to name a few. However, if you study computer science as part of a targeted web development curriculum, you might focus mainly on JavaScript, HTML and CSS, and related tools.

You might not ever need to learn Python for your professional tech career, even though it’s one of the most popular programming languages in the world. Still, it’s a smart move to familiarize yourself with it.

Like JavaScript and Java, Python’s open-source status means its libraries and frameworks are available at no cost. And most users report that Python is among the easiest programming languages to master. You'll find Python even easier if you’ve already learned Java, C, or JavaScript. Check out Noble Desktop’s Python courses to determine which best meets your needs.

Management Skills

Management skills might not be the first thing you think of when deciding what to learn next, but think about it: what if you want to be a Project Manager, Product Manager, or IT Operations Manager? Your supervisory skills can take you far if you begin learning before you need them.

Project management is an excellent place to start. Many Project Managers become Product Managers responsible for everything from market research to development and testing. Different companies handle these roles differently, but management principles are universal. They don’t change much from year to year.

Do you see a management role in your future? Consider enrolling in a project management course or certification bootcamp like the programs offered by Noble Desktop.

Learn Computer Science with Hands-on Training at Noble Desktop

If you want comprehensive computer science training in an interactive environment, check out the Full Stack Web Development Certificate from Noble Desktop. This in-depth program gives participants all the tools they need to build webpages and apps, plus training in hosting, server, and network environments. Featured topics include HTML and CSS, JavaScript, and MongoDB, to name a few.

Is software engineering your main goal? Consider enrolling in Noble’s Software Engineering Certificate program. Here you’ll learn front-end development with JavaScript and React along with back-end development using Django (Python), all taught by instructors with expertise in the field. Small class sizes and 1-on-1 mentoring mean you always get individual attention and gain essential skills in Flexbox, Grid, and Bootstrap.

If you focus your computer science training on the subcategory of data science, Noble Desktop’s Data Science Certificate gives you the skills you need for an entry-level position. This immersive program provides training in essential tools from Python programming to machine learning fundamentals. It’s a great way to prepare to work as a Data Scientist, Data Analyst, or Machine Learning Engineer.

High school students preparing for the AP Computer Science exam can benefit from Noble’s live online computer science NextGen Bootcamp. These summer classes offer an ideal way to learn disciplines like web development, Python programming, or data science in a beginner-friendly environment.

  • After completing a targeted computer science curriculum, consider learning:
    • Data visualization tools like Tableau or Power BI
    • Python and its libraries and frameworks
    • Project or product management
  • You can get comprehensive computer science training through an in-person or live online course from Noble Desktop.