HYPERIONDEV
Practical learning. Personal support. Job-focused outcomes.
giving you a step up in the job market
grounded in industry practice
from experienced industry professionals
with structure that keeps you on track
when you need it, from coaching to resume prep
After completing your bootcamp, you can pursue data science roles in various positions such as:
Use machine learning, AI, and computational models to push the boundaries of what technology can do. Often involved in developing new algorithms and AI applications.
Design and manage databases that support large-scale data science and AI projects, from data lakes to real-time analytics platforms.
Leverage data and AI to optimize systems, automate workflows and support smarter decision-making within organizations.
Build and maintain the infrastructure needed to support data-heavy AI systems, including cloud and edge computing environments.
Our Data Science Bootcamp takes you from beginner programming skills to advanced machine learning. You’ll master Python and key libraries like NumPy, pandas, Matplotlib, and scikit-learn, while learning how to analyze data, build predictive models, and apply machine learning to real-world problems. Through hands-on capstone projects using real datasets, you’ll gain practical experience that strengthens your portfolio and proves your job readiness.
Start coding in Python with variables, control structures and pseudocode. Build resilient programs using data structures, functions and debugging techniques. Apply OOP, recursion and shell scripting and manage your code with Git.
Capstone: Investment Calculator, Task Manager App
Work with relational databases and SQL to manage and integrate data. Use Python libraries like pandas and matplotlib to clean, analyze and visualize data and create dashboards with Tableau.
Capstone: Integrated Database System, Data Analysis Report
Train models using linear and logistic regression, decision trees and clustering techniques. Build neural networks with PyTorch and explore natural language processing with real-world applications like sentiment analysis.
Capstone: Regression Model, Image Classifier, Clustering Project, AI Text Generator, NLP Script
*DISCLAIMER: Curriculum content may be adjusted to reflect industry changes or instructional needs.
From geneticist to data scientist
DAVID DEL LORENZO
“After one month after I finished I got my job as a Data Scientist.”
David used the structured pace and practical projects to make a confident career shift into data science.
From auditor to data engineer at Cambridge
SOPHIE ROSS
“The bootcamp helped grow my confidence. I felt more confident communicating code, especially with the mentor sessions.”
Sophie transitioned from a career in auditing to tech by joining the Software Engineering Bootcamp. She developed hands-on skills and now works as a data engineer at Cambridge University’s Medical Research Department.
From medicine to machine learning
NABEEL VANDAYAR
“I always recommend the company to anyone who is starting out.”
Nabeel had no prior coding experience when he joined the bootcamp. Now he helps build the infrastructure behind global AI systems.
Practical learning and personal support to help you take the next step in your career.
Craft a resume and portfolio that shows what you can do.
Access ongoing resources and guidance after you finish your course.
Get help with LinkedIn, interviews and your job search.
Connect with employer events, job boards, and industry contacts.
Jobs in data science are set to grow 36% by 2033, over 7x faster than average.
Data scientists earn a median salary of $112,590, more than double the national average.
The U.S. may face a shortage of 250,000 data scientists by 2027 (McKinsey).
Whether you're planning ahead or need more flexibility, we’ve got payment options to match.
Apply for a plan that fits your budget.
Coming soon!
*According to the HyperionDev 2024 Graduate Outcomes Report.
You’ll follow a university-reviewed curriculum with video lessons and guided projects. Apply your learning through practical exercises, get feedback as you progress, and in select courses, join live lectures from faculty for added insight.
Whether you're starting fresh or want to add data skills to your current role, this bootcamp gives you the hands-on experience to launch or grow a career in data. Still unsure? Book a call with our admissions team, and we’ll help you figure it out.
No prior experience is required. You’ll start with the basics and build your skills step by step, with plenty of support along the way.
Yes, you will be issued a certificate of completion once you have met all the requirements for your bootcamp completion, and you do not have any outstanding work. This is a digital copy which will be accessible from your student dashboard to view and download.
If you study part-time, aim for 5-10 hours per week to finish in twelve months. Full-time learners can complete it in around six months with 35-40 hours per week. You can adjust your pace if needed.
You’ll need a computer with a stable internet connection. We’ll let you know if any specific tools or software are required before you start.
Life happens, and we get that. View our refund and deferral policy or reach out to admissions to talk through your options.
Read our FAQs, or contact our Admissions Team, and a real person will get back to you.
