Is Computer Science Right For Me?

If you have questioned whether computer science is the right field for you, there are several facets to consider before you enroll in a course or program. Namely, ask yourself whether a computer science education and career will make you feel fulfilled, engaged, and content. This field has different layers, so you will likely find something that suits your needs if you are interested in computer science. Additionally, you should reflect on your current experience and decipher which path aligns with your capabilities. For instance, you may have strong programming skills and can easily manage large data sets. On the other hand, you may have a knack for machine learning. It’s crucial to assess which position fits best with your interests and goals. Of course, salary and lifestyle expectations are a big consideration when choosing a career. If you feel a computer science career will afford you a comfortable, fulfilling life, then it’s worth pursuing. Ultimately, after you evaluate all the contributing factors, you should be able to determine whether computer science is right for you.

What is a Computer Scientist?

A Computer Scientist is an expert in the development, maintenance, and application of highly advanced computer systems. These professionals use computer theory to complete a range of tasks, including algorithmic design, software development, system maintenance, debugging, analytics, and other problem-solving duties. They typically have strong programming, mathematical, and computational skills so they can often work in database management, web development, cybersecurity, or software engineering. They use both theoretical and practical skills to complete their varied workplace tasks and often have strong critical thinking, communication, and time management skills.

Computer Scientists can also specialize in artificial intelligence (AI) or machine learning. This involves designing systems that perform tasks autonomously; in other words, they operate without human interaction yet mimic human behavior. This allows companies to complete otherwise time-consuming tasks, thus optimizing their workflow and increasing productivity. Professionals who choose this branch of computer science will have additional skills in natural language processing, algorithms, and computer vision, among a few other AI-specific skills.

Moreover, a computer science professional will often conduct research and take part in developing new cutting-edge technology. Many will research trends in the field and explore ways to utilize and strengthen their innovative spirit. Additionally, a Computer Scientist will frequently ensure security measures are in place so that sensitive, confidential information does not get leaked to the public by hackers. The work of a Computer Scientist can vary drastically from position to position, but they are typically employed in virtually every industry, ranging from technology and finance to healthcare and government.

Why Become a Computer Scientist?

Becoming a Computer Scientist is an incredibly worthwhile career path for numerous reasons. First, the position has a healthy job outlook and above-average flexibility compared to other careers. Society increasingly relies on computers, data, machines, and tech products to maintain businesses, schools, hospitals, and other operations, so computer science professionals will almost always have job availability. In addition, Computer Scientists can work full-time or part-time as well as in a traditional office setting or a hybrid or remote setting. A Computer Scientist can also work on a contract basis or as a freelance professional. This flexibility makes it possible to work in the field and still have a fulfilling personal life.

Moreover, most computer science positions offer an appealing salary with benefits. This will differ based on the company, industry, and location, but most Computer Scientists agree that their salaries are competitive and align with the cost of living in that particular region. Not only are computer science jobs rather profitable, but they also offer additional benefits and resources that promote their success. In addition, many companies offer full-time employees benefits like health insurance, retirement plans, bonus pay, professional development opportunities, and networking events. The financial rewards make this career path an incredibly worthwhile endeavor.

An added reason to consider becoming a Computer Scientist is that the field and job positions are frequently mentally stimulating and diverse. You can choose from a variety of relevant jobs that align with your interests and strengths, whether you prefer developing software or protecting computer systems from security breaches. Plus, computer science skills are typically easy to transfer into another position. For instance, computer science careers require expertise in different programming languages. You can use this skill in countless Computer Scientist positions and numerous ways, so there is always the opportunity to make a career shift.

Programming Ability and Technical Mastery

Programming Languages

A career in computer science will require strong programming skills. Specifically, Python, JavaScript, C++, and SQL are all commonly used programming languages by Computer Scientists. Each of these languages is considered relatively beginner-friendly and versatile so there they’re applied in different ways. For instance, JavaScript is best suited for web development whereas Python is useful in data analytics. Likewise, SQL can assist with data retrieval. C++ will assist the most with video game creation, computer programming, and high-performance machines. If you have a knack for programming, computer science is a great field to explore.

Advanced Technical Knowledge

Additionally, Computer Scientists will need expertise in various technical skills, including programming languages, frameworks, libraries, algorithms, software development, artificial intelligence, and machine learning. Many computer science professionals learn software development methodologies, neural networks, algorithms, and other highly advanced technical skills. If you feel especially qualified in any of these subjects, it’s worthwhile to consider a career in computer science.

Computer Science Job Responsibilities

General Tasks

Typical day-to-day tasks for a computer science professional include taking part in the design and development of different computer systems. In addition, they will monitor its performance over time and update the system as necessary. They will troubleshoot errors and identify issues before they start by writing, testing, and updating code as needed. They will document their findings and report on what they’ve accomplished. In addition, many work alongside other tech professionals on a weekly or daily basis.

Specific Tasks

Specific responsibilities will vary based on your specialization. For instance, a Software Engineer will write and debug code, draw up new features for previously developed software, and design new systems. On the other hand, a Data Analyst will handle the collection, cleansing, and analysis process with large data sets. Likewise, a Machine Learning Engineer will train models to act autonomously and handle tasks that are otherwise time-consuming. Each computer science specialization will have different responsibilities, but many of these skills can be seen across different positions.

Choosing a Specialization

Computer Science Specializations

You will want to explore the different branches of computer science before you decide whether this field is right for you. Each specialization allows you to apply your skills differently and comes with different career expectations. For example, Data Analysts and Machine Learning Engineers need to be incredibly comfortable with mathematics subjects, such as statistics, calculus, and probability. However, Machine Learning Engineers require more education than Data Analysts. Additionally, cybersecurity job positions require different certifications than Software Engineers.

How to Choose the Right Specialization

Each specialization requires different skills, new technology, and varied interests. To choose which specialization works best for you, you’ll want to consider your interests. If you enjoy working with artificial intelligence, you could explore a career as an AI Researcher or Machine Learning Engineer. Likewise, you will want to factor in your current skills. If you have strengths in one area versus another, it might be worth considering when you choose a career path. Ultimately, your career goals matter just as much. If you see yourself working for a certain company or in a particular job position, it’s best to find out what skills you’ll need to reach that goal.

Work Environment 

Traditional Employment

Consider what would fit best into your lifestyle before applying for a job. If you feel most comfortable in a traditional workplace setting, such as an office. You’ll show up to work on a regular schedule and complete your tasks with other members of your department. In addition, you can find hybrid opportunities where you will spend a few days in the office and work a few days at home. This offers slightly more flexibility without sacrificing the interaction among colleagues. Both offer their advantages and disadvantages, but it all depends on your lifestyle and desires.

Remote Opportunities

If you know that you need or prefer a remote opportunity, computer science is a great field to explore. Many computer science professions can be remote, which allows employees to work from home, a library, a cafe, or anywhere. This provides a healthy work-life balance and allows you to work when you can as opposed to on a strict schedule. Freelancing is also an option and gives you the chance to diversify your portfolio and explore different industries. Freelancing and remote jobs are ideal for anyone who requires, or prefers, this flexibility.

Teamwork, Communication, and Other Soft Skills

Interpersonal Skills

If you are a natural team player and feel confident collaborating with others, working in computer science may be the ideal career choice. Computer Scientists often work with other tech professionals on projects and present their work and findings to stakeholders. As such, they have to articulate their ideas, concepts, and opinions clearly. Working with a team and having strong interpersonal skills like communication, resourcefulness, persuasiveness, and emotional intelligence are strong skills for your computer science role.

Qualities of an Effective Computer Scientist

In addition to general soft skills, you will want to possess several key qualities that help you become an even more effective computer science professional. For example, being a meticulous person will likely help you become a successful Computer Scientist. This attention to detail will take you far in addition to having critical thinking skills and an analytical mindset. This enables you to solve problems quickly and creatively as well as adapt to changes and new technologies. With these skills and qualities, you can contribute to projects and the field in a meaningful way.

Do I Need a Degree to Become a Computer Scientist?

If you are curious about the different ways to become a Computer Scientist, you have a few options to choose from. You can earn a degree in computer science at a community college or university, which is incredibly worthwhile but costly and time-consuming. Degree programs provide a comprehensive education in skills related to computer science and then some, but this is not as easily accessible for someone with limited funds or time. A degree from an accredited university will bode well in the long run, it is a privilege and not necessarily suited for everyone.

Luckily, you don’t necessarily need a traditional degree to become a Computer Scientist. You can also search for certificate programs, bootcamps, and classes at a reputable training center that focuses on tech education and career development. These types of programs provide specialized training in subjects related to computer science, such as cybersecurity, machine learning, data science, and web development. The curriculum is structured but offers hands-on projects and gives students the skills to apply their skills in the workplace. They’re typically fast-paced and far less costly than a degree program. Plus, they’re typically offered in part-time or full-time formats. While you’re unlikely to go in-depth on theoretical concepts, you will still obtain a well-rounded education and be able to find a job as a Computer Scientist.

Learn the Skills to Become a Computer Scientist at Noble Desktop

You can learn a variety of computer science skills at reputable training centers such as Noble Desktop. For instance, they offer a Full-Stack Web Development Certificate that spans 420 hours and gives you all the skills necessary to become a Full Stack Developer. Specifically, you will learn from an expert instructor in a hands-on setting. Students will explore coding languages such as HTML, CSS, and JavaScript for both front and back end programming. Likewise, you will use various frameworks and libraries, such as Node.js and Express.js, and use Visual Studio Code, a code editor. You’ll create programming projects like scrolling animations, interactive content, webpage layouts, and mobile applications. In addition to the certificate course material, you will have the chance to take an additional SQL or WordPress class at no cost.

For a more specific learning experience, you can explore the JavaScript Programming Bootcamp. In this interactive and immersive bootcamp, students will learn the fundamentals of JavaScript programming and explore the higher-level functions. Over 120 hours, the instructor will assign portfolio projects that require you to use array and string methods or new ES6 and ES7 features such as Arrow Functions. Students will also practice object-oriented programming and explore JavaScript 3D Libraries for data visualization and 3D browser development. By the end of the bootcamp, you will feel prepared to use JavaScript in a professional setting or perhaps take the next step in your current career.

The Python for Data Science Masterclass is also a focused course that shows students the foundational and advanced ways to use Python for data science. Throughout 60 hours of instruction, students will learn data types, variables, Python libraries, numerous complex functions, data visualization, and object-oriented programming. In particular, the instructor will guide students through advanced techniques like using lambda functions, querying with Jupyter Notebooks, animating data visualizations, and performing data analytics. This masterclass intends to equip students with the most relevant Python skills so they can easily transfer their abilities from the classroom to the workplace.