PHOTO
Data Science Pathway
Launch yourself into data science and engineering jobs at top-tier companies with confidence, technical skills and a strong portfolio.
Find the Program Option that Works For You
Full-time and part-time and flexible pathway options available remotely.
Full-time Intensive Bootcamps
Study in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
9-12 months
Mon – Fri meetings START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Intensive Bootcamps
Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
15-24 months
Tues/Thurs meetings START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
Up to 24 months
Saturday meetings START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses
Set Yourself on a Path for Top Data Science Jobs
Companies are pretty clear about what they want in their candidates.
You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?”

Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:
Healthcare providers • Insurance industry • Verizon
JP MorganChase • Amex • Capital One
JP Morgan Chase Bank, N.A. New York, NY Data Scientist Associate Minimum skills, experience and requirements
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  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
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  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
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  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
  • Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
Languages and Tools
Languages and tools covered throughout the full stack developer program.
VIDEO
Data Science
Pathway Courses
Courses and programs that make up the Full Stack Pathway include:
This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms.

Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture.

This course gives you a solid foundation in computer programming fundamentals!
Apply now
This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science.

Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.
Apply now
Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business.
Apply now
Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.


This is definitely not an introductory track. Minimum requirements are strictly enforced!
Apply now
How Learning Works What you will be doing throughout the program.
Projects
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Excercises
Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!
Role Play
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Gamification
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
What Sets Us Apart
Silicon Valley Standards
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Technical Skills & Knowledge
Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.
Depth of Technical Portfolio
Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.
Strong Back-end Skills
The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.
Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.
Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.
We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:
1
Train to Silicon Valley standards
2
MUCH greater depth of fundamentals, data structures, algorithms
3
Freedom and flexibility in learning – i.e. time to learn what you don’t understand
4
Hugely diverse and welcoming learning community
5
Depth and breadth of languages, technical skills, and frameworks covered
6
Extensive technical interview, resume, and profile training/resources
7
Industry-leading coding and learning management platform
8
Access to alumni network for referrals to jobs
Photo
Real Employer Partnerships and High Employment Rates
Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.
Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.
Learn more
Photo
What to Expect
At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.
qwasar dots 1
Qwasar Collage of Engineering • Qwasar Collage of Engineering • Qwasar Collage of Engineering • Qwasar Collage of Engineering • Qwasar Collage of Engineering • Qwasar Collage of Engineering • Qwasar Collage of Engineering
Attend an Information Session
Join us for a session on what learning is like at Qwasar.
Sign up to learn more about our program options and how each cohort works:
Join an Outstanding Learning Community!
Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to: Learn more
Photo
Group debugging session
Small group sessions
Virtual coworking rooms
Sophisticated peer code review system
Coding collaboration workshops and pair programming
Our lively Discord online chat
with a tech news section and a meme section
Check Job Descriptions Our Curriculum Aligns to Employer Demands Our curriculum is based on what employers are looking for in data scientists. Other programs don’t cover the minimal level required by Tier 1 tech companies.
Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.) Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc. Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions) Proven experience in data visualization and communicating results with non-technical audiences. Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely
Qwasar Bootcamps CS Degree
Limited Limited
Limited Depends by student Limited Limited
VIDEO
Transitioning Careers? Join the Club! View Our Community
Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.
We also have career returners and veterans in the community.
Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:
image_fx_ - 2024-11-19T175142.895
Explore Our Courses
From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
image_fx_ - 2024-11-19T174644.375
Virtual Information Session
Watch on-demand information sessions about our courses and pathways.
image_fx_ - 2024-11-19T174827.317
View Our Master’s in Computer Science
Discover our modern Master’s of Science in Computer Science degree program.
PHOTO
Data Science Pathway
Launch yourself into data science and engineering jobs at top-tier companies with confidence, technical skills and a strong portfolio.
Find the Program Option that Works For You
Full-time and part-time and flexible pathway options available remotely.
Part-time Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
Up to 24 months
Monthly Saturday meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time Intensive Bootcamp
Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
15-24 months
Tues/Thurs meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Full-time Intensive Bootcamp
Study full-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
9-12 months
Mon - Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses
Set Yourself on a Path for Top Data Science Jobs
Companies are pretty clear about what they want in their candidates.
You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?” Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:
Healthcare providers • Insurance industry • Verizon • JP MorganChase • Amex • Capital One
Walmart
Sunnyvale, CA Data Scientist Minimum skills, experience and requirements
  • building and deploying scalable end-to-end data science solutions for our data products.
  • Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows
  • Contributes to the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle
  • Works with Data Scientists and Architects to deploy holistic machine learning solutions after successful prototyping
Apple
Seattle, WA Data Scientist Minimum skills, experience and requirements
  • Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
  • Using Foundation Models for data science: prompt engineering and fine-tune foundational models for specific tasks.
  • Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners.
  • Strong programming skills, including data-querying skills (SQL) and experience with Python scripting language for data processing and development. Be able to translate ideas/methods into code and dashboards without hesitation.
JP Morgan Chase Bank
New York, NY LLM/AI Strategy Associate Minimum skills, experience and requirements
  • Collaborate with cross-functional teams to develop and enhance the CASEY product, leveraging LLM and AI technologies to deliver innovative solutions that meet client needs.
  • Contribute to the development and execution of the LLM/AI strategy for the CASEY product, ensuring alignment with business objectives and client expectations.
  • Utilize data analytics and machine learning techniques to analyze client interactions and behaviors, identifying opportunities for AI-driven enhancements and personalization.
  • Work closely with data scientists, engineers, product managers, and other stakeholders to ensure seamless integration of AI technologies into the CASEY product.
  • Monitor the performance of CASEY features and enhancements, using data-driven insights to make continuous improvements and optimizations.
Languages and Tools
Languages and tools covered throughout the full stack developer program.
VIDEO
Data Science Pathway Courses
Courses and programs that make up the Full Stack Pathway include:
This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms.

Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture.

This course gives you a solid foundation in computer programming fundamentals!
Apply now
This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science.

Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.
Apply now
Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business.
Apply now
Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.


This is definitely not an introductory track. Minimum requirements are strictly enforced!
Apply now
How Learning Works What you will be doing throughout the program.
Projects
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Excercises
Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!
Role Play
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Gamification
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
What Sets Us Apart
Silicon Valley Standards
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Technical Skills & Knowledge
Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.
Strong Back-end Skills
The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.
Depth of Technical Portfolio
Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.
Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.
Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.
We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:
1
Train to Silicon Valley standards
2
MUCH greater depth of fundamentals, data structures, algorithms
3
Freedom and flexibility in learning – i.e. time to learn what you don’t understand
4
Hugely diverse and welcoming learning community
5
Depth and breadth of languages, technical skills, and frameworks covered
6
Extensive technical interview, resume, and profile training/resources
7
Industry-leading coding and learning management platform
8
Access to alumni network for referrals to jobs
Photo
Real Employer Partnerships and High Employment Rates
Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.
Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.
Learn more
What to Expect
At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.
Photo
qwasar dots 1
Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering •
Attend an Information Session
Join us for a session on what learning is like at Qwasar.
Sign up to learn more about our program options and how each cohort works:
Join an Outstanding Learning Community!
Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to:
Learn more
Photo
Group debugging session
Small group sessions
Virtual coworking rooms
Sophisticated peer code review system
Coding collaboration workshops and pair programming
Our lively Discord online chat
with a tech news section and a meme section
Check Job Descriptions Our Curriculum Aligns to Employer Demands Our curriculum is based on what employers are looking for in data scientists.
Other programs don’t cover the minimal level required by Tier 1 tech companies.
Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.) Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc. Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions) Proven experience in data visualization and communicating results with non-technical audiences. Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely
Qwasar Bootcamps CS Degree
Limited Limited
Limited Depends by student Limited Limited
VIDEO
Transitioning Careers? Join the Club!
Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.
We also have career returners and veterans in the community.
Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:
image_fx_ - 2024-11-19T175142.895
Explore Our Courses
From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
image_fx_ - 2024-11-19T174644.375
Virtual Information Session
Watch on-demand information sessions about our courses and pathways.
image_fx_ - 2024-11-19T174827.317
View Our Master’s in Computer Science
Discover our modern Master’s of Science in Computer Science degree program.

Find the Program Option that Works For You

Full-time and part-time and flexible pathway options available remotely.
Part-time
Professional Flex​
Study on a part-time basis with somewhat flexible options on course meetings.
No project deadlines.
Up to 24 months
Monthly Saturday meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Part-time
Intensive Bootcamp
Study part-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
15-24 months
Tues/Thurs meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Full-time
Intensive Bootcamp
Study full-time in a highly structured intensive bootcamp. Attendance is required and projects have deadlines.
9-12 months
Mon - Fri meetings
START DATES
21 Jan 2025 • 25 Mar 2025
Apply now
Join a specific cohort Virtual meetings 1-3x per day, Learn in a community 100% hands-on learning Accountability & motivation.
Stack courses back to back OR take breaks between courses Duration estimates are based on back-to-back courses
Set Yourself on a Path for

Top Data Science Jobs

Companies are pretty clear about what they want in their candidates.
You should be asking the question, “How does our curriculum align with the job description of companies I want to work for one day?” Here’s a list of companies or types or companies looking for candidates with the specific skill set and experience that aligns with this program’s curriculum:
Healthcare providers • Insurance industry • Verizon • JP MorganChase • Amex • Capital One
Walmart
Sunnyvale, CA
Data Scientist Minimum skills, experience and requirements
  • building and deploying scalable end-to-end data science solutions for our data products.
  • Works closely with data engineers, data analysts, data scientists and application developers to help build ML and statistics driven models and continuous model monitoring workflows
  • Contributes to the MLOps lifecycle, from data monitoring to refactoring data science code to building robust ML model lifecycle
  • Works with Data Scientists and Architects to deploy holistic machine learning solutions after successful prototyping
Apple
Seattle, WA
Data Scientist Minimum skills, experience and requirements
  • Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
  • Using Foundation Models for data science: prompt engineering and fine-tune foundational models for specific tasks.
  • Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners.
  • Strong programming skills, including data-querying skills (SQL) and experience with Python scripting language for data processing and development. Be able to translate ideas/methods into code and dashboards without hesitation.
JP Morgan Chase Bank
New York, NY
LLM/AI Strategy Associate Minimum skills, experience and requirements
  • Collaborate with cross-functional teams to develop and enhance the CASEY product, leveraging LLM and AI technologies to deliver innovative solutions that meet client needs.
  • Contribute to the development and execution of the LLM/AI strategy for the CASEY product, ensuring alignment with business objectives and client expectations.
  • Utilize data analytics and machine learning techniques to analyze client interactions and behaviors, identifying opportunities for AI-driven enhancements and personalization.
  • Work closely with data scientists, engineers, product managers, and other stakeholders to ensure seamless integration of AI technologies into the CASEY product.
  • Monitor the performance of CASEY features and enhancements, using data-driven insights to make continuous improvements and optimizations.
Languages and Tools
Languages and tools covered throughout the full stack developer program.
VIDEO

Data Science Pathway Courses

Courses and programs that make up the Full Stack Pathway include:
This course focuses on software engineering principles, as well as strong fundamentals in data structures and algorithms.

Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture.

This course gives you a solid foundation in computer programming fundamentals!
Apply now
This intermediate level course is designed to equip learners with practical skills and knowledge to advance their careers in data science.

Learners will achieve intermediate competency in Python, understand frameworks and database design, and grasp basic design patterns, all while honing their debugging skills in Jupyter Notebooks.
Apply now
Complete end-to-end data science projects, focusing on applied regression and prediction models. Work with traffic models for data integration, pre-processing, model training, evaluation, and comparison analysis. Understand SMOTE, ADASYN, and GANs. Understand the impact and implications of fraud detection models on a business.
Apply now
Learners select an area of specialty for data science: finance, ecommerce, medtech, biotech, etc. They then specialize in this area by completing two projects, one of which is a capstone project of choice.


This is definitely not an introductory track. Minimum requirements are strictly enforced!
Apply now

How Learning Works

What you will be doing throughout the program.
Projects
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Excercises
Each week, participants will have 1-5 coding exercises to complete. These are accessed through our software and your code is auto-graded to ensure it is up to speed and functioning. This is part of the learning process. We have over 800 exercises in our library with thousands of test cases!
Role Play
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Gamification
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.

What Sets Us Apart

Silicon Valley Standards
We train to standards set by Silicon Valley for full stack developers. This means the level is much higher than that of bootcamps, and higher than that of CS or data science degrees. Your specialty is being an elite developer at a world-renown level.
Technical Skills & Knowledge
Thanks to the depth and breadth of our program curriculum, you acquire a level of technical skills and knowledge that learners in other programs or bootcamps simply never acquire.
Strong Back-end Skills
The vast majority of bootcamps don’t cover data structures or algorithms. CS degrees don’t cover hands-on application of theory or actually developing software architecture. We cover both and your strong back-end skills and experience with databases, data structures, and algorithms will set you apart from other candidates.
Depth of Technical Portfolio
Learners develop a technical portfolio that has depth and shows the extent of their technical skills and ability to handle databases, deployments, and development. Neither bootcamps nor CS degrees offer this.
Why pay more, study less, and then spend 6-12 months trying to find a job (at a bootcamp or CS degree), when you could pay less, study more, and give yourself a much higher chance of gaining employment at (or before graduation)?

Unlike others, our learning model is backed by significant learning science and the learning experience is rooted in learning by doing and in a learning community.
Our employment rates are within 2 months of graduating, not 6 or 12, and most learners gain employment before they finish the curriculum.
We’re way cheaper than other options, and offer flexible learning opportunities.

We list some of the reasons why you should consider Qwasar:

1

Train to Silicon Valley standards

2

MUCH greater depth of fundamentals, data structures, algorithms

3

Freedom and flexibility in learning – i.e. time to learn what you don’t understand

4

Hugely diverse and welcoming learning community

5

Depth and breadth of languages, technical skills, and frameworks covered

6

Extensive technical interview, resume, and profile training/resources

7

Industry-leading coding and learning management platform

8

Access to alumni network for referrals to jobs
Photo

Real Employer Partnerships and High Employment Rates

Qwasar works directly with employers and hiring partners who recruit from our programs. Partners include LinkedIn, Capgemini, Workday, Claris, Accenture, Crowdstrike, and more.
Many employers have reached out to us to recruit directly from our programs. Qwasar is recognized in industry for its superior programs, curriculum, and graduates, and as a result, our learners often have significantly better opportunities for recruitment into jobs, internships, and apprenticeships compared to bootcamp grads.
Learn more

What to Expect

At Qwasar, you are responsible for your learning, just as you would be responsible for your work in a job. Problem-based learning involves finding, trying, and building solutions. With no single source of truth and no answers provided, it’s up to you to figure out how to make your code work, when and how to ask for help, and how to successfully build software in a team.
Photo
qwasar dots 1
Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering • Qwasar College of Engineering •

Attend an Information Session

Join us for a session on what learning is like at Qwasar.
Sign up to learn more about our program options and how each cohort works:
Join an Outstanding Learning Community!
Joining Qwasar is about joining a learning community. Learning on your own is hard, watching online videos can be boring, and sharing your learning journey (and certainly lots of jokes) with others is important.

Our platform and Discord chat, as well as our program meetings, are all about building and participating in the community.

When you join our programs, you have access to:
Learn more
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Group debugging session
Small group sessions
Virtual coworking rooms
Sophisticated peer code review system
Coding collaboration workshops and pair programming
Our lively Discord online chat
with a tech news section and a meme section

Check Job Descriptions

Our Curriculum Aligns to Employer Demands

Our curriculum is based on what employers are looking for in data scientists.
Other programs don’t cover the minimal level required by Tier 1 tech companies.
Hands-on experience designing and implementing data architecture, able to contribute to architecture discussions Proven experience with programming languages/tools and working with large and complex data sets (Python, PyTorch, SQL, Jupyter, TensorFlow, etc.) Experience with the data management lifecycle, i.e. collection, cleaning, storage, analysis, etc. Proven experience using data to solve business challenges (choosing data, training models, analyzing algorithm options, communicating solutions) Proven experience in data visualization and communicating results with non-technical audiences. Habituated to collaborating to solve problems, pair programming, and communicating in-person and remotely
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Bootcamps
CS Degree
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Transitioning

Careers?

Join the Club!

Qwasar is a hive of career switchers. We have people who are or were: baristas, retail associates, medical assistants, accountants, professional musicians, biomedical researchers, teachers, finance directors, IT support professionals, network engineers, mechanical engineers, college students in non-technical fields, business analysts, writers, translators, and more.
We also have career returners and veterans in the community.
Chances are high that you’ve got transferable skills. Here’s an example we put together for people transitioning from accounting:
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Explore Our Courses

From Rust to C++, full stack, AI, or data science, explore our shorter certificate courses.
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Attend a Virtual Information Session

Watch on-demand information sessions about our courses and pathways.
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View Our Master’s in Computer Science

Discover our modern Master’s of Science in Computer Science degree program.
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Data Science Pathway
Launch yourself into data science and engineering jobs at top-tier companies with confidence, technical skills and a strong portfolio.
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