Qwasar Versus Coding Bootcamps and Computer Science Degrees
What is it that really makes us different from coding bootcamps or a CS degree? Here are 13 ways we’re different and what they mean for you.
- The Basics: Cost, duration, and learning models
- Program employment rates
- Depth and breadth of curriculum technical difficulty
- Technical portfolio produced
- Career support differences
- Depth of data structures and algorithms covered
- Number of lines of code written
- Peer reviews given and received
- On-the-job skills
- “Project-based learning”
- Student support in the program
- Schedule flexibility
- Student-centered learning
1. The Basics: Cost, Duration, Learning Models
Coding Boot Camps
Coding boot camps are short, intensive training programs that aim to teach individuals the basics of programming and web development. They typically last for three months and cost around $15k.
During a coding bootcamp, students typically gain only a basic understanding of programming concepts and technologies. They learn through a combination of lectures and hands-on projects. The curriculum focuses on web development using Mongo, Express, React, Node, and HTML/CSS. Students are expected to complete a few projects, usually around 1-3, of which major project elements are often provided, such as backend databases or front-end templates.
Bootcamps focus on knowledge transmission as their main method of learning, and have some coding exercises after lectures as well as required periodic exams that you’re required to pass in order to stay in the program. Bootcamps’ learning models are based on “learn x in y amount of time or drop out”, where students are expected to learn the material quickly. This approach can be challenging for some students, but it allows the boot camp to cover many topics quickly. Few peer reviews, if any, are conducted, and students are not expected to deliver production-ready code that works.
Furthermore, students have only limited practice for technical interviews, normally 1-5 opportunities to practice technical interviews and gain valuable experience in this area.
Computer Science Degrees
Computer science degrees focus on the theory of computing and computer programming, and are typically offered at the undergraduate and graduate levels, taking in theory anywhere from 4 to 6 years to complete, depending on the level of the degree. A computer science degree can vary depending on the institution, but it can be expensive, with students paying over $43,000 for a bachelor’s degree at a typical public institution.
The technical skill level attained by computer science students is different than that of specialized bootcamps, and varies widely by institution. The curriculum of a computer science degree covers a range of topics, including programming, algorithms, data structures, computer systems, and software development. Students often complete 1-3 group projects in groups of 5-8 (not ideal for programming), with no peer code review or expectation that code should be at production standards or to a coding norm.
The learning model of a computer science degree is based on lectures and knowledge transfer. The learning pace of a computer science degree is that students are expected to learn the material by the end of each semester or fail. This approach can be challenging for some students, as the curriculum is often quite challenging and requires significant time and effort. Additionally, the curriculum of a computer science degree is not as focused on building a portfolio of projects or on developing technical interview skills.
Computer science degrees also typically do not develop soft skills such as teamwork, communication, and problem-solving, which are essential for success in the field.
Qwasar
At Qwasar, our programs cost $2400 total, last 6-24 months depending on pace and previous technical experience, and are focused on learning by doing.
While each program is slightly different, in general learners will complete 20-35 projects, with 5-10 projects being of significant size, scope, and complexity. Projects are required to meet production standards, best practices, and coding norms, and undergo peer code reviews. All learners must give and receive peer code reviews. Learners will write 30-100K lines of code and grow in their coding confidence and code quality, and as a result, develop a strong technical portfolio.
In keeping with the learning by doing approach, programs focus on developing skills and competency, and allow for individual learning, meaning the pace learners complete the curricula matches their competencies, capabilities, and comprehension, and isn’t dependent on other learners.
Technical interview as well as behavioral interview practice abounds with each learner completing 20-40 interviews to gain experience, reduce nervousness, and increase problem-solving skills under time pressure.
In summary, here’s a table:
Bootcamps | CS Degrees | Qwasar | |
Average cost | ~$15,000 | ~$43,000 | $2,400 |
Duration | 3 months | 4 – 6 years | 6 – 24 months |
Number of major projects completed | 1 – 3 | 1 – 3 | 5 – 10 |
Peer reviews | 0 – 3 | 0 – 3 | 10 – 40 |
Technical interviews | 1 – 5 | 0 – 3 | 20 – 40 |
Lines of code written | 5,000 | 6,000 – 12,000 | 30,000 – 100,000 |
Pace of learning | Learn X in Y amount of time or dropout | Learn X in Y amount of time or dropout | Be competent in X and Y varies |
Learning model | Lectures, knowledge transfer | Lectures, knowledge transfer | Project-based learning |
Employment rates | <40% | ~33% | ~95% as of Sept 2022 |
2. Program Employment Rates
We offer a comprehensive and rigorous program different from a coding bootcamp, at the same level as a CS degree (our programs in Europe via one of our campus partners are an accredited bachelor’s degree).
One of the significant differences between our program and bootcamp or a CS degree is our employment rates. As of September 2022, 95% of our graduates are employed within six weeks of completing the program in a software-related job. This percentage has held steady for the previous 18 months. It is one of the highest, if not the highest real employment rate of any other training program in this field.
Bootcamps and CS degrees don’t calculate their employment rates in the same manner, or in the same way as Qwasar.
We calculate our employment rate as follows:
Number of graduates who get a job within 6 weeks of graduating
——————————————————————————————————–
Number of graduates
Graduates need to be in a software-development-related job, not working at their local Starbucks.
Bootcamps are renowned for “surveying” learners and only using results for those who answer the survey – which doesn’t actually give an accurate representation of the employment rate.
Further, they exclude people who haven’t followed their rules or requirements in their intensive job-search periods. This could include submitting 20 applications per day, attending specific job-search sessions, etc. These details are noted in very fine print at the bottom of some of their employment outcomes reports.
When you calculate employment rates based on total number of graduates and who gets employed in a software-related role, you get this:
In Summary: |
||
| Most Coding Bootcamps | <40% | Within 12 MONTHS of graduating |
| Qwasar | ~95% as of Sept 2022 | Within 6 weeks of graduating |
| CS Degrees | Average ~33%, but wide range based on “calibre” of university | Within 6 months of graduating |
3. Use of Trial and Error
We want our students to learn through trial and error! The trial-and-error method is a critical component of the project-based learning approach. It allows adults to learn through hands-on experience and experimentation rather than simply being told what to do or being shown how to do something. This approach can be efficient for adults seeking new skills or knowledge.
One of the main benefits of the trial-and-error method in project-based learning is that it allows adults to learn by doing. Rather than simply reading about a concept or listening to a lecture, adults can actively engage with the material and apply it in a practical setting. This can increase their understanding and retention of the material, as well as make it more relevant and meaningful to them.
Another benefit of the trial-and-error method is that it allows adults to learn from their mistakes. When working on a project, adults may encounter challenges or obstacles that they need to overcome. Through trial and error, they can experiment with different solutions and learn from both positive and negative outcomes. This can help build their problem-solving skills and resilience and make them more comfortable taking risks and trying new things.
Additionally, the trial and error method can help adults to develop their critical thinking and creativity skills. They are encouraged to question assumptions, think outside the box, and create new ideas. This can be especially beneficial for adults looking to advance their careers or start businesses.
The trial-and-error method in project-based learning is a valuable tool for adult learners. It allows them to learn through hands-on experience and experimentation and helps them acquire new skills, knowledge, and problem-solving skills while developing critical thinking, creativity, and resilience skills.
3. Depth and Breadth of Technical Difficulty in Our Curriculum
Bootcamps don’t cover anywhere close to the same level of technical difficulty as a CS degree or our programs. We pride ourselves on offering a curriculum that is both deep and broad in technical skills learned and covered.
The depth of the projects is achieved through the level of complexity and the amount of code that students are required to write. The breadth of the projects is achieved through the variety of topics and technologies that students are exposed to.
A portfolio project from a coding bootcamp could be creating a website that is similar to Quora and will focus solely on using the following languages: HTML, CSS, and Javascript. However, a portfolio project at Qwasar from the equivalent program/curriculum (our full stack developer program) requires learners to rebuild Tetris from scratch, meaning learners have to deal with database design, software architecture, debugging, peer reviews, writing code to a norm, deploying to the cloud, and getting the front-end to work with the back-end.
So how do some of our programs compare curriculum-wise to bootcamps and CS degrees? Let’s take a look.
Qwasar Full Stack Development VS Bootcamps “software engineering” programs
Preseason Web | Data structures & algorithms | Season 2 Full stack | Season 3 Full Stack |
^ bootcamps stop here |
Qwasar Software Engineering VS CS Degrees
Our software engineering program has 5 tracks to it, which includes a core then an elective part. Many of the concepts covered in a CS degree are also covered in this program, only we make you actually code them and do it, rather than memorize the theory and regurgitate it on an exam. (On the job of course, you’d actually be coding, not reciting theory.)| Season 1 SWE | Season 2 SWE | Season 3 Rust | Season 3 C++ |
| Pointers, 2d Arrays, Linked Lists, C, Blockchain, Trees, Software Architecture | Bash/shell, Assembly, C, advanced algorithms, Ruby, SQL, memory allocation & management | ARC, Tokio, servers, writing truly “Rust-y” code not translating from another language (Java or C++) | Advanced algorithms, network programming, smart pointers, software architecture |
| ^ CS degrees stop here |
No one else offers such a curriculum – not even CS degrees – that covers Assembly, re-writing memory allocation, Rust, Go, or networking programming in C++. Yet, this is what the vast majority of backend SWE roles want.
Literally, no one else offers training in Rust in a CS degree. Rust training programs are only for existing engineers and require a significant technical knowledge base. But there are plenty of jobs that demand Rust programming language experience – including Microsoft, Google, Tesla, Mozilla, and more.
Overall, the depth and breadth of the projects in our curriculum are designed to equip our students with the technical skills and knowledge they need to succeed in a technical position. We believe this approach is crucial for ensuring that our students can secure high-paying jobs with top companies upon graduation.
So What?
If you don’t have the minimum technical skill level required for a job, you won’t even be considered for jobs, you won’t get interviews, or you won’t be able to pass interviews. In terms of getting hired, you don’t get past the first step.
4. Technical Portfolio Produced
Our students must complete a comprehensive technical portfolio as part of their program. The portfolio is composed of 5 to 6 unique projects, each of which demonstrates a different aspect of their technical proficiency. These projects serve as a showcase of the student’s abilities and allow them to demonstrate the depth and breadth of their technical knowledge and skills to potential employers.
The technical portfolio is an essential part of our student’s education and helps them stand out to potential employers.
Here’s how we compare to other programs when it comes to making a technical portfolio:
| Bootcamps | CS Degree | Qwasar | |
| Number of Projects in Portfolio | 3 | 2-3 | 5 – 6 |
| Technical Difficulty of Projects | Basic | Intermediate | Proficient |
| Individual, Group, or Both? | Individual | Group | Both |
| Production-Ready Code? | No | No | Yes |
| Have There Been Peer Code Reviews? | No | No | Yes |
| Is it Written to a Norm? | No | No | Yes |
| Is Clear Logic Required? | No | No | Yes |
| Published on GitHub with a Nice README? | No | No | Yes |
| Programming Languages Used in Projects? | HTML/CSS, Javascript, React | Java, C++, Python | Depends on Program (C, C++, Rust, Go, Java, Assembly for SWE) |
| Does the Most Difficult Project Match the Skill Level Recruiters Are Looking For? | No | Depends | Yes |
In summary, a technical portfolio is one of the most valuable assets a person can have on their resume, but it has to match with what’s listed in a job description. You can’t have only full stack projects if you’re applying for a backend software engineering role looking for experience in network programming and Rust.
Hiring managers can see the difference between a simple and a complex and technically difficult portfolio, and that is what makes the difference in you being considered or not for a software job.
So What?
If you don’t have the minimum technical skill level required for a job, you won’t even be considered for jobs, you won’t get interviews, or you won’t be able to pass interviews. In terms of getting hired, you don’t get past the first step.
5. Career Support is Extensive at Qwasar
Bootcamps provide very little career support in reality, because the programs only last a short amount of time, and once you’ve graduated, you generally no longer have access to the program’s resources or people. Given that the average hiring time is 6-8 weeks, bootcamp students simply don’t have the time they need with career support services.
CS degrees provide even less career support: technical and behavioral interview practice is not part of the curriculum, neither is how to write a resume. Students have to find these services on their own or with student clubs, but lack access to real practical career support.
Qwasar provides extensive career support including behavioral interview preparation, technical interview preparation, resume writing and review, presentation preparation, referrals, preferred applications via employer partners, and more.
Behavioral Interview Preparation
Qwasar provides behavioral interview preparation which assists students with understanding non-technical types of questions that may be asked, identifying critical skills and experiences, communicating effectively, being more confident, and providing specific, relevant examples as answers to such questions. Learners practice 10+ behavioral interviews as both the interviewer and the interviewee as part of our programs, and receive feedback on how to improve.
Learners also prepare and practice answers for the infamous question, “So, John, tell me about yourself” as well as complete worksheets to be better prepared to answer questions.
Technical Interview Preparation
At Qwasar, learners complete over 20-40 technical interview role plays. This involves playing the role of an interviewer or an interviewee, where the interviewer gives a problem to the interviewee which has to be solved in a limited amount of time. Practice is the ONLY way to get better at technical interviews.
Since technical interviews often include problem-solving exercises, we work to prepare students for these types of questions to help them improve their problem-solving skills and develop a better understanding of how to approach and solve complex technical problems. We also help candidates identify areas of their knowledge and skills they need to improve upon, then make practice where they need to improve in order to improve their chances of succeeding in technical interviews.
Resume Review and Assistance
Qwasar provides resume review and assistance for each individual in our programs. Bootcamps provide a similar service, CS degrees generally do not.
We take the time to get to know each learner and their story, to uncover additional skills or experiences they may have left off their resume.
Cover Letter Review
Qwasar helps its learners create an effective cover letter that showcases their skills and experiences to potential employers. We assist with formatting, structuring the letter, how to best present yourself, as well as advice on how to highlight relevant skills and experiences. This can help students to present themselves in the best possible light and increase their chances of getting an interview.
6. Depth of Data Structures and Algorithms Covered
The depth of data structures and algorithms covered sets our software engineering school apart from coding bootcamps in a significant way. In the real world, we can compare the study of data structures and algorithms to vehicles, where arrays are like cars and linked lists are like trains. Both arrays and linked lists have pros and cons, and it is important for students to understand these differences in order to make informed decisions when choosing the right data structure for a particular task. However, in coding bootcamps, students are often only introduced to these concepts superficially, without the opportunity to actually code them, use them, or choose them.
At Qwasar, we cover data structures and algorithms in depth and give learners ample opportunity to code them. This hands-on approach to learning ensures that learners will remember the concepts they have learned long after they complete the program.
Actually coding and using different data structures and algorithms helps students to develop critical thinking skills and problem-solving abilities, as they must consider the pros and cons of different approaches and choose the best solution for each problem.
So What?
If you don’t have a deep enough understanding of data structures and algorithms… for one, technical interviews will be much harder. You will lose a lot of time failing technical interviews, which is mentally, physically, and emotionally exhausting.
7. Amount of Code Written During the Program
Writing a significant amount of code is also a crucial part of Qwasar programs, as it allows students to develop their coding skills and become proficient in various programming languages. With an average of 30k-100k lines of code written per student, they will have the opportunity to practice their coding skills and build a strong foundation of knowledge in multiple languages.
The more code you write, the more peer reviews you have, and the more logic and architecture you have to decide, the better you will become at programming and the more confident you will be in the code you write.
Bootcamps and CS degrees aren’t focused on writing high volumes of code, so folks graduate not knowing how to actually decide logic, architecture, or write quality code. On the job, that’s a problem.
Bootcamps | CS Degree | Qwasar | |
# of Lines Written | 1-5K | 6-12K | 30-100K, depending on program |
8. Peer Code Reviews Given and Received
On the job, engineers are expected to spend around 30% of their time conducting peer code reviews, meaning they need to know how to conduct effective reviews and use the right tools. At Qwasar, learners complete over 20 peer code reviews.
Coding bootcamps do not emphasize the importance of peer code reviews in the same way that we do. Their learners may receive a few, but they don’t give them, which is a huge part of being on the job as a SWE. CS degrees tend to ignore peer code reviews altogether as projects are submitted to a teacher for a grade, instead of focusing on actually delivering software that works as you would in industry.
Peer code reviews are a key opportunity to learn from your peers, improve your coding skills, gain valuable insights into best practices and standards, collaborate and share knowledge, identify and fix bugs, and understand areas for improvement.
By giving and receiving feedback, students learn how to explain their reasoning, evaluate the code written by others, and develop their communication skills. These skills are essential for success in the tech industry and can help our students stand out from the competition.
9. Developing Absolutely Vital, Highly Valuable But Hard to Learn On-the-job Skills
- Having confidence in your skills, yourself, and your ability to write quality code
- Being ok with using trial and error
- Being fast and efficient at debugging
- Being ok with ambiguity and unclear instructions
- Being able to design a (quality) software architecture from scratch
- Comfortable using the command line
9.1 Develop Confidence In Your Skills and in Your Ability to Write Quality Code
Employers want candidates who have confidence in the code that they write, largely so that they are efficient in contributing to engineering teams and they don’t eat up precious time from senior engineers.
Gaining confidence in your code comes through practice, repetition, feedback, working on a variety of projects, and having to consistently write code to a coding norm while respecting best practices. This is naturally a part of how Qwasar operates, but is not part of how bootcamps or CS degrees work.
Bootcamp and CS degree students don’t write enough code to gain confidence that their logic, architecture, design, and structure reflects best practices. They also don’t see enough of others’ code to learn best practices, other ways of solving a similar problem, or gain confidence in their own abilities.
9.2 Being Ok with Using Trial and Error
On the job as a software engineer, DevOps engineer, data scientist, or developer, you will be faced with problems that are complex, unknown to you, or simply aren’t doing what you want. Outside of thinking and problem solving methods, trial and error is a common practice, and one that requires persistence and determination.
CS students rarely use trial and error until they solve a problem, because when they get stuck, they ask their lecturer, professor, or TA, who often gives them the answer. Bootcamp students rarely use trial and error due to the short nature of their program and how things are structured.
At Qwasar, trial and error is a key part of learning to make your code work, and in problem-solving in general. Through constant use of this method, learners become ok with using trial and error, and with the persistence required when using this approach.
This is invaluable in industry and on the job.
9.3 Becoming Fast and Efficient at Debugging is Required
Qwasar requires each student to debug their code until that code passes the tester. Debugging code is an essential step in the software development process, as it helps identify and fix code errors. On the job, you will be expected to debug efficiently, which means being structured, methodical, and determined.
Neither bootcamp students nor CS degree students are not held to such standards, but it’s what is expected of them on the job. Bootcamp students will do some debugging, but given the low number of projects and lines of code written, they won’t develop the speed and efficiency that good debuggers have.
One CS class at Stanford does tests on paper instead of computers. The switch was necessary because so many students failed exams as they spent most of their time on the first question trying to debug their code.
But debugging is a required skill on the job, so logic would say that making students practice debugging would be smarter than changing the exam……
So What?
If you don’t have experience debugging, you will be much slower to complete projects, meet deadlines at work, and perform to the level expected.
9.4 Purposeful Ambiguity: Learning to Be OK With Unclear Instructions
Picture this: a software engineer is tasked with troubleshooting an issue with a code, but they aren’t given any background information on the code or the issue. To solve this issue, they must be able to combat purposeful ambiguity – and they don’t have a choice, really, as it’s their job to fix the bug. It’s up to them to be resourceful, actively find out more information, ask questions, and identify the real problem so that they can start to solve it.
This is our approach as Qwasar as learners move to the advanced parts of our programs. They have to learn to be ok with ambiguity, because in the real world, things are not spelled out perfectly with full technical specifications, and the point is to learn to be resourceful, ask questions, and find out what information is or is not relevant to the problem you’re trying to solve.
Bootcamps and CS degrees avoid ambiguity, largely because students don’t like it. But in reality, this is part of the job, and better to learn to be ok with ambiguity ahead of time.
One of our alumni, Jairo Guzman, states, “[As a software engineer] You need to be prepared to solve and figure out issues with no preparation at all. The way that Qwasar helped me was because they got me comfortable with dealing with those uncertain problems. … Ultimately, you just have to be able to deal with uncertainty. That’s the key to success for a software engineer.”
9.5 Creating a (Quality) Software Architecture From Scratch
Creating a quality software architecture requires a large skill set, and the more architecture designs you’ve seen, and the more experience you have designing and deciding on software architectures, the better you will be at designing new architectures or systems.
Architecture ranges from simple, straightforward designs for small applications to vastly complex, interdependent enterprise-level applications and systems.
Companies want applicants who have had significant experience designing non-basic architecture – that doesn’t necessarily mean enterprise-level (think Visa or Amazon where there are millions of activities/data points per second), but designing a table reservation system for a restaurant is generally too basic.
Bootcamps don’t address architecture as a skill to be developed, and neither do CS degrees. At Qwasar, learners are responsible for designing their own architecture for all of their projects, meaning they develop the experience companies are looking for.
So What?
If you don’t have experience with deciding software architecture, you won’t be able to contribute to discussions on the job. You’ll be slower to understand an existing code base (which you’ll be expected to do in any new job, quickly), and you’ll make wrong decisions that show your noviceness.
9.6 Command Line & Advanced Git Usage
Software engineers on the job are expected to be comfortable using Git and the command line. This means using Git branches, merging, working in groups on the same code base or repository, using commands, reading outputs, etc. with fluency.
Using the command line and Git is an integral part of Qwasar programs. It is required in every curriculum and learners gain fluency and proficiency in using both as an engineer would on the job.
Bootcamps and CS degrees don’t put the same emphasis at all on using industry-standard tools such as shell/Bash and the command line. Students aren’t job-ready in this respect and struggle to contribute on-the-job.
So What?
If you don’t have experience using the command line or Git, you won’t be able to contribute to your engineering team easily, and won’t be job-ready.
10. Real Project-based Learning vs Fake Project-based Learning
Project-based learning is a method of learning that is literally based on projects, as opposed to lectures or other forms of knowledge transmission. A learning method that starts with lectures and ends with a small project, is not a method where learning is rooted in projects or solving problems. Project-based learning and problem-based learning forces learners to engage actively in their learning.
Qwasar uses real project-based learning, meaning that learning is literally rooted in projects, not lectures.
CS degrees are almost entirely passive or lecture-based learning: very few projects are assigned, and projects are not the center of the curriculum. Programs focus on knowledge transfer from a professor, not on students developing skills and competencies vital to programming.
Bootcamps often claim to be project-based learning, but they still use a lecture-based model and have sprinkled some light hands-on work that they call projects.
There’s a significant difference: real project-based learning promotes a deep understanding and higher-order thinking skills, and is a more effective way to absorb and retain knowledge and be able to apply it.
10.1 The Jump in Difficulty Between Projects
Defining the jump in difficulty between projects in a curriculum is key to driving student success.
When we as humans take on a new project, our brains must adjust to the new demands and learn the required skills. If the jump is too high, the brain gets overwhelmed, and we feel like it’s too difficult and often give up.
Correctly calibrating the “cognitive jump” between projects allows our students to actively apply and reinforce the concepts they have learned in one project to the next.
Coding bootcamps tend to focus on rote memorization and repetition. Oftentimes the ‘jump’ between projects is so big or feels so big because there hasn’t been time to properly digest and absorb new material and concepts. As a result, students dropout. CS degrees don’t have this problem as much, but they have far fewer projects to do. When they do, projects are often small, on large timelines, and involve a large group.
11. Student Support Throughout the Program
- Program managers available daily
- Small group support sessions twice per week
- Daily standups
- Curriculum-specific Discord channels to communicate with peers and program managers
- Accountability and advise from program managers
12. Schedule Flexibility
Our program is also designed to be flexible, accommodating those who work full-time or part-time, and/or those who have a family. Students can learn at a pace that works for them: faster or slower, depending on their previous experience and technical background. This flexibility allows students to balance their education with their other commitments without sacrificing comprehension, fundamental understanding of important technical concepts, or their participation in the program.
CS degrees don’t have that much flexibility, and are largely limited in who can participate. Some universities only offer full-time programs, cutting off most learners from participating. Bootcamps are similar: few offer part-time options, and even those who do often have very strict schedules and learning requirements. If you don’t keep up, you’re kicked out.
13. Student-Centered Learning: Become Proficient on Your Timeline
Our students can complete projects as they gain competency in the material. This approach allows them to focus on competency and understanding the material, not on passing a particular exam by a set timeframe.
For some, this means you can learn quickly because you have the time, previous experience, and are a fast learner. For others, this means being able to take a bit longer to understand new and fundamental concepts, without punishment or fear of being kicked out.
CS degrees don’t accommodate any previous learning, and your progression is solely on a 4-year period or according to the academic calendar, not according to your calendar or needs. Bootcamps focus on finishing in 3 months, rather on gaining proficiency and competency that’s required to land and stay in a software job.
Conclusion: We are a 21st-century software engineering school
Our online software engineering school offers a comprehensive and in-depth education for students pursuing a career in software engineering. Unlike a coding bootcamp, our program is designed to provide a more thorough and rigorous education in computer science, focusing on developing a deep comprehension of the field. Our employment rates speak to the success of our program, with 95% of graduates finding employment within six months of program completion.
In addition to providing a solid technical education, we also prepare our students for the job market by helping them to create a portfolio of their work, as well as providing opportunities for peer review and technical interview preparation. This helps to ensure that our graduates are well-prepared for the job search and interview process and can showcase their skills and abilities to potential employers.
Next Steps?
If you are interested in pursuing a career in software engineering and want a deep comprehension of the field, then our software engineering school may be the right fit. Apply today to take the first step toward a rewarding and fulfilling career in software engineering!
