on Wednesday, March 23 @ 3:27pm
Coding Bootcamps and Computer Science degrees are popular routes for students to launch careers in software development. Coding bootcamps average 12 weeks in length, and teach practical skills like building web applications from scratch. They prepare students for a job as an entry-level web developer, intern, or freelancer. Computer science programs average 4 years in length, and teach a wide range of concepts in programming, algorithms, advanced math, statistics, and general electives which may not correlate with computer science.
Coding bootcamps and computer science programs are the two most prevalent ways to start a career as a software professional. But coding bootcamps lack computer science fundamentals, and computer science programs often lack practical experience, and are extreme commitments in time and expense. The gap between what you learn in a coding bootcamp and computer science degree is why we created the Software Engineering Track.
Bloc’s Software Engineering Track teaches practical skills and combines them with advanced computer science topics and open-source software development. It teaches you everything you need to be a professional software engineer, and leaves out everything you don’t. We know this because we built the program after consulting with companies like Google, Facebook, and Twitter. After consulting with top engineering teams, we developed this chart to represent the programming learning curve:
We believe that 2,000 hours of focused study and practice are essential for becoming a software engineer. This chart shows where you’ll be after graduating from a coding bootcamp — which is between 500 and 1,000 hours — but it doesn’t explicitly illustrate why our Software Engineering Track is more effective than a computer science degree. Let’s explore four reasons why Bloc’s Software Engineering Track prepares you for a career in software engineering more effectively than a computer science degree.
For more information on why coding bootcamps often fall short, [read this blog we wrote about the topic](NEED URL).
A computer science program is four years worth of full-time study. This roughly totals to 6,000 learning and study hours. Thousands of those hours are unlikely to directly help you once you get a job though. A computer science program forces you to take electives, and advanced classes on artificial intelligence, history of computing, and theory that are not easily translatable to working as a professional software engineer. It’s not that these are bad things to learn – they may provide some useful life lessons – but they are not essential for becoming a software engineer. Bloc’s program includes 2,000 hours of learning and study hours, and every single hour is meaningful in becoming a software engineer.
Spending one year learning everything you need is a better use of time than spending four years learning many things you don’t. There’s plenty of time to learn new things in life, but when you’re paying to learn, the topics should be directly related to the outcome.
Computer science programs range in cost based on factors like residency, school, and financial status. A four year degree can easily reach into the six figures. For this reason, many students are forced to take out loans with interest rates between 4% and 6%. This is life-altering debt that will likely take years to pay off.
Bloc’s Software Engineering Track is not cheap — $24,000 is significant amount of money — but with reasonable payment options this amount should not be life-altering. In fact, financing as low as $750/month is available, which allows you to pay for the course after getting a job. Also, Bloc offers a tuition reimbursement guarantee that if you are not able to find a job as a software engineer with a starting salary of at least $60,000, you’ll be refunded in full. No computer science program offers such a promise.
At $24,000, Bloc’s program is a fraction of the cost of many computer science programs, and offers a tuition reimbursement guarantee on top of that. Your investment in Bloc is much smaller than it would be in a computer science program, and also much safer due to the reimbursement policy.
ROI is a financial acronym that stands for “return on investment”. It explains what you’ll earn as a result of an investment. Not only is Bloc’s program a fraction of the cost of a computer science degree, but it also employs you faster. After one year, you’ll start earning a full-time salary as a software engineer. The return on your investment of $24,000 will be greater proportionally to that of an investment in a computer science degree, and it will also come quicker. The ROI you realize from a smaller investment and earning at a faster pace can have exponentially positive results over decades. But most importantly, you’ll also start a career doing meaningful work. Software is eating the world because it solves real problems. As a software engineer, you’ll be able to positively impact other people’s lives through software, and the value and satisfaction you realize will be incalculable.
No matter how great a computer science program, coding bootcamp, or our Software Engineering Track is, it will always pale in comparison to the experience you have working as a professional. The lessons you learn in a classroom setting will never match what you learn when you’re on the job. The apprenticeship model – which we employ in the Software Engineering Track – is an improvement over the classroom, as it provides training and lessons in a practical setting, but even it doesn’t match the effectiveness of learning on the job.
To become a master at something, you have to practice a lot, and you have to practice in realistic settings. There is nothing more realistic than practicing your skills when you are being paid to do so. In this respect, you want to be careful not to spend too much time in a classroom.
The final phase in the Software Engineering Track is an Open-Source Apprenticeship, where you work on open-source software with other professional engineers. In addition to learning through practical work, you’ll build a remarkable resume of open-source contributions. After the Open-Source Apprenticeship, you’ll get a job solving real problems for a real company four times faster than you would with a computer science degree.
For more of our thoughts on learning and mastery, [read about mastering software engineering](NEED URL).
We aren’t so extreme in our views that we think computer science degrees should be abolished. They do serve a purpose for aspiring robotics and machine learning engineers, and they do many things well in general. But we feel strongly that they can be improved, and the Software Engineering Track is what we built to prove that. In a shorter period of time, with less of an investment, a safer investment, a faster return on your investment, and more effective learning, you will have a better outcome with the Software Engineering Track, and you’ll start the path to mastery sooner than you would by enrolling in a computer science program.
If you want to learn more about Bloc’s Software Engineering program and how it prepares you to land a job developing software, join us at an online info session. We’ll dive into the curriculum, what it’s like to be a Bloc student, and details about our 100% tuition refund guarantee.
If you’re considering a career as a software engineer, then you may have heard how difficult it is to learn. But the right mindset can give you a significant advantage when learning and working in the industry. Software engineers who embody these seven character traits are valuable employees and productive contributors.
It’s what killed the cat, apparently, but that cat was a rock-solid engineer. Great engineers take responsibility for learning and exploration. They do not depend on their superiors to give them explicit direction for a new challenge – their curiosity guides them to reach their own conclusions.
At my first job as an engineer, I worked on an Android game. In the middle of working on a new feature, I noticed that some background tasks consumed an inordinate amount of time. After some investigation, I discovered that we relied on an Android API that took 50% longer on average to complete when compared to a simpler Java counterpart. I reported my findings and as a result, we swapped one for the other in all cases.
An engineer who seeks out new information and investigates the product may discover something new in the process. More importantly, the more versatile an engineer, the more valuable they become. Learn to serve your curiosities and feed them with research and experimentation.
All engineers require mental stamina. As a new engineer, you won’t solve the most challenging problems during your first attempts. In fact, you may have to spend days, weeks, or longer looking for a solution before finding one that meets both business and product requirements.
If you give up readily, you may not find yourself working on anything interesting, or anything at all. Engineers love solving problems and most refuse to give up until they work them out. Grit is what keeps engineers from throwing in the towel.
In 2014, the popular blogging platform, Medium, encountered a problem rendering underlines in Chrome. The author, Marcin Wichary, states that what was thought to be a one-night project turned into a month-long effort. After brainstorming seven approaches, the team settled on one and Marcin implemented it. Fixing something as seemingly trivial as a proper underline required incredible tenacity and the product is better for it.
This one is a no-brainer, but if you want to be a part of a functional team, you must communicate. If you’re shy or quiet, that’s fine. You can make up for shyness by communicating effectively in writing.
At Bloc, we rely on asynchronous communication – one out of every six employees works remotely. We use email, Slack, and GitHub to facilitate feedback and discussion. In these messages, we try to use as few words as possible and get to the point fast. This keeps our co-workers focused and eager to read and respond.
Your team needs to know what you’re working on and if they frequently ask for clarification, they may stop asking altogether. By communicating frequently and in brief but descriptive messages, your team will look forward to speaking with, and hearing from you.
Despite being another predictable member of this collection, attention to detail is vital for engineers and thus worthy of mention. If an employee at McDonalds applies two ounces of special sauce to your Big Mac instead of two and a half, will you notice?
As a software engineer, if you mistype even one line of code, it can crash an entire application. Details comprise software, and companies hire engineers to craft those details well. If you are someone that looks solely at the big picture, you have to learn to zoom in.
At Bloc, our students rely on our custom curriculum to learn the software trade. If we mistype a line of code or introduce a grammatical error, the student’s ability to learn the subject is significantly affected. We use grammar tools like spell check, linters, and Grammarly to draw attention to pain points.
Some call this, “thinking outside of the box,” but saying that would be yet another cliché and this post has reached its limit of those. When solving challenging engineering problems, the best solutions often come from adopting a new perspective.
If everyone took a crack at a problem from the same angle, they would ultimately arrive at a similar solution. But a diverse team whose approach varies among its members will generate more ideas and non-conventional solutions. You and your team will benefit if you broaden your ability to see things that others overlook.
To allow team members to share new ideas and solutions, we occasionally hold hack day events at Bloc. These hack days, like hackathons at Facebook, permit anyone in the company to work on anything. Thus, people who rarely interact with an aspect of the Bloc product can build new features or solutions that the dedicated team had not yet thought of. For example, our hack days helped us design a new payment flow, student portfolios, a student glossary for recruiters, and so much more.
Engineers collaborate, even when managers assign a task to just one engineer on the team. Team members review each other’s code before deploying it to production, and during these reviews, they may criticize or recommend significant changes to code written by their colleagues.
Engineers open to receiving critiques and feedback receive more support from their teammates, and the engineers that receive more support make bigger contributions to the product. More importantly, the product suffers if an engineer deploys code without revising it to meet the expectations of their peers. A good engineer is modest and willing to consider a different approach suggested by their team.
At Bloc, we have a thorough review process both on the engineering and curriculum side. Before we published this blog post, it received editing passes from two individuals that looked for quality content and prose. I was responsible for accepting modifications and including content suggested by my peers; the post is better for it.
It’s common for some engineers to isolate themselves and work without consulting their teammates. The industry refers to this proclivity as Lone Wolf Syndrome. Lone Wolves, much like the animals after which we’ve named them, do not survive for long. Wolves hunt in packs, and engineers must collaborate.
To be a productive engineer: seek help when needed, express yourself when overwhelmed, offer to help when you see peers struggle, and in general, engage with the group. No one on your team is excited when one person goes off and returns with unwanted or otherwise broken code. Acting as part of the team builds better relationships and trust among your co-workers.
If you believe that your personality is set in stone or that you’ve grown fixed in your ways, we recommend you read this article from Psychology Today. Those who study the mind believe that personality is flexible and with concerted effort, anyone can alter their disposition.
New coders, does this sound familiar? You’re finally getting the hang of programming. But then you overhear a conversation about a language you’ve never even heard of. Oh no! How could you call yourself a programmer if you’ve never even heard of Haskell? (How many programming languages are there?)
Easy, tiger. Impostor Syndrome is setting in hard. You feel like a fraud, even though your accomplishments show otherwise. Maybe you have successfully coded your first app but you feel like you’re pulling one over on the world by calling yourself a programmer. Or perhaps you enjoyed dabbling in Codecademy, but you could never actually make the switch to becoming a developer. Feeling this way is not only normal, it could actually be a signal of greatness.
Learning to program lends itself tragically well to Impostor Syndrome. There is so much to learn about programming, it’s impossible to be proficient in every aspect. Do you know how many people know everything there is to know about Ruby? Zero. Not a CS grad, not your smartest developer friend, not even the guy who created Ruby in the first place.
Rest easy, you’re not alone. No matter how experienced you are, you will always hear other developers talking about a new concept that you have never heard of. You may feel like you don’t belong in the conversation, but you do. Frame it as an opportunity to learn and become a better developer, and remember, everyone feels this way.
I can’t think of a group more prone to feeling this way than bootcamp students. The beauty of programming bootcamps is that they allow people with little to no programming experience enter and succeed in the field. Thus, if you called yourself a developer before you enrolled, you really would be an impostor.
At the most recent Bloc Career Talk, Bloc students shared their experiences with impostor syndrome. Hillary, a student in the Rails course, shares her experience:
I started as a technical analyst at a company that created a proprietary application that worked alongside SharePoint. For the first few months I imagined myself getting fired daily. Six months after starting I was promoted, and three months after that I was promoted again to a managerial position.
Hillary says she’s feeling impostor syndrome all over again as she sets out to land her first developer position, despite crushing her course and having four completed projects under her belt (way to go, Hillary!).
Okay, so there’s a name for this rotten feeling. Now what? As with many struggles, your first step is to recognize the issue. It’s only overwhelming and soul-crushing if you believe you’re the outsider. Think you really are the only person that feels this way? Try voicing your misgivings about your developer skills to a community of developers—I’d bet a lot of 1’s and 0’s that you’ll hear many others feel the same.
Once you realize that it’s a common struggle among beginners in any subject, the problem shifts from an internal judgment of yourself (“I’m just not a programmer”) to an opportunity to expand your skillset (“I have a lot that I can continue to learn”). The key to persisting through this forest of self-doubt, hopelessness, and anxiety is to accept what you don’t know, and challenge yourself to master it.
Then you can focus on progressing in your work to prove to yourself that you’re no impostor. If you’re facing an overwhelming problem, which is likely what led to all those “impostory” feelings in the first place, break it into tiny steps. Whether this is fixing a bug, writing an app, or getting to the end of your foundations, it will feel more manageable if you break the problem into pieces and celebrate the small wins.
At Bloc, students can connect and commiserate with fellow students on this topic and others in our Student Slack Community. During our Career Talks, students also get to fire their burning career switch questions at our captive Director of Student Outcomes, Courtland Alves.
This blog post is based on the recently hosted Bloc Career Talk covering Impostor Syndrome. Career Talks are bi-weekly seminars that facilitate discussion among Bloc students about the career search process.
Note: I struggled the entire way while writing this. Who am I to think I’m a writer? #impostorsyndrome