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Do you really need a degree to build a career in IT?

Do you really need a degree to build a career in IT?

Author
Silvia Woolard
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September 6, 2019
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4 min read
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According to PayScale, the current average salary for IT specialists is $56,333. And that’s only an average result.

In reality, they tend to make more. Deloitte pays an average salary of $122K to its IT specialists, and the top specialists make $211K.

The difference is huge.

What creates that difference? It’s experience, talent, and hard work. Could it be the degree, too?

The IT degree is not necessarily a requirement for a job in the sector. You can land a great job if you have an impressive portfolio and you get attention with your resume.

You can learn a lot through practice and online resources. HackerEarth gives you an impressive knowledge base to start with.

Does this mean that you should ditch the idea of getting a formal education in Information Technology? Is it wiser to save all the money that you’d spend on school and focus on gaining practical skills instead?

Let’s see.

The benefits of skipping the degree

Yes, there are actual benefits of not going to school for the sake of getting an IT education. Of course, universities will try to convince you otherwise.

Their goal is to attract as many applicants as possible. Being more competitive allows them to raise their prices even further.

But you know better than that.

    • Skipping the degree saves you a lot of money!
    • On an average, a single year at a private school costs $32,410 for tuition and fees only. When you add all the other fees and living expenses, you can easily spend up to $50K. Four years of education at a private university will cost at least $200K.
    • Public schools are more affordable. On average, you pay $9,410 for tuition and fees per year.
    • Since there’s an option to take IT courses, you can still gain relevant knowledge without spending that much money.
    • School takes a lot of time…and nerves
    • Before you reach the point of earning that degree, you’ll spend four years at school. That’s plenty of time that you could otherwise spend in actually working in the IT sector.
    • Keep in mind that trends occur and evolve rapidly in the IT sector. What you learn during the first year at school may be irrelevant by the time you graduate. Well okay, each skill you gain is relevant in one way or another but even if you go to school, you must still devote time in actual practice.
    • You’ll develop your own projects after school hours and probably do some freelance work to cover your living expenses.
    • How will you do that when you have so much studying to do and so many assignments to finish?
    • For most students, the solution is to hire Best Essays for assignments that they don’t consider relevant to their career in IT.
    • These include essays, research papers, and all sorts of projects for various courses. This means spending even more money, which you could save if you don’t go to school.
    • You don’t really need school to learn programming and get a job
    • Most students decide to go to school because they don’t know anything about programming and they have no idea where to start.
    • When you realize that you can take progressive courses and engage in practice through HackerEarth, what’s the point of school?
    • You’re getting a relevant education for a fraction of the price and time. This platform also allows you to build a portfolio, which potential employers will appreciate.
    • What about potential employers? Won’t they require a degree?
    • No.
    • Google, Apple, IBM, Bank of America, and many other companies do not require job applicants to have degrees. When you apply for a job in some of those companies, they don’t ask about your degree. Bootcamps are a great way to learn the right skills before applying to top companies
    • They definitely ask about your skills, which you don’t necessarily develop at school. They want you to showcase a portfolio that proves your knowledge and skills. Your degree doesn’t.

The benefits of getting a degree in IT

If school is so bad, then why do so many people go there? Because it’s also good!

When you take the direction of formal education toward a career in IT, you’ll gain important advantages. Let’s see:

      • You might earn more money if you earn a degree
      • Yes; a school degree costs a lot of money. But it may pay off. The stats are clear—degree holders make more money than those who don’t have formal education.
      • The degree may make you eligible to apply for higher positions on the career ladder, but in the IT industry that’s not an obligatory rule for all companies.
      • School is great for networking
      • Where did Larry Page and Sergey Brin meet? At Stanford University. Page was pursuing a Ph.D. in computer science and Brin was showing him around campus.
      • If these two great minds felt the need to pursue higher education, it has to mean something.
      • Don’t you think?
      • This example proves that school is perfect for networking. You meet like-minded creatives who may become skilled professionals in the future. Who knows; maybe you and some of your friends will start the next big company from a garage.
      • The degree gets you noticed during the job hunting process
      • When you apply for a job and mention the degree in your resume, you have an edge over other candidates who may have the skills and an IT certificate but not a degree. If you have a degree, recruiters see you as someone who was serious enough to invest money, time, and a lot of effort in the program you completed.
      • As for the practical knowledge, you’ll still gain it throughout the school. And you’ll show it through your resume when you apply for a job. But this means that in addition to taking school courses, you need to take online courses and practice a lot. That’s more important than your GPA during the hiring process.
      • You gain a variety of skills
      • Yes, you’ll take up courses such as psychology, literature, art, and others that are not closely related to IT. But you know what? Everything will come together at one point. You’ll realize that knowledge and skills make you complete. You’ll find different ways to implement them all in your work as an IT specialist.

Is the degree necessary?

No, a degree is not necessary for pursuing a career in the IT sector.

In some cases, it may be counterproductive, even. There are many students who focus too much on school. Education demands their full attention.

Between classes, assignments, extracurricular, and social life, they have very little time to focus on practicing their skills.

So they lose pace with the latest trends in the IT sector and expect the professors to teach them everything they need to know.

But in some situations a degree is very helpful. If you can balance between school responsibilities and your personal practice as a future IT pro, you’ll gain the best of both worlds.

You’ll take on freelancing gigs and you’ll be working on personal projects while studying at the same time.

By the time you get a degree, you’ll be a skilled and educated professional who’s ready to target the big salaries in the IT sector.

Whatever decision you make, IT careers are all about the skills and practice; not about grades.

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Author
Silvia Woolard
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September 6, 2019
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4 min read
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A New Era of Code

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From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

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Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

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How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

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FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

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In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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