Regular 2 deadline: February 19, 2026
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Build a successful career in Data Science + AI.
iX is the fastest way for undergrads to learn the Data Science + AI toolkit from industry professionals, apply your skills in an internship, and get ahead in recruiting.
The iX Tuition-refund promise.
Get a job within 6 months of graduating, or your tuition back. *T&Cs apply
2026 Session 1:
May 18 - June 26
2026 Session 2:
July 6 - Aug 14
*Classes are limited to
30 students per cohort
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How iX works.
Learn the Data Science + AI toolkit from industry professionals, apply your skills in an internship, and get ahead in recruiting.
Phase 1
Get the skills.
An immersive bootcamp that teaches you Python, data analytics, machine learning, and AI fundamentals through hands-on projects and real-world case studies.
Learn from industry experts.
Live class capped at 30 students.
Continuous support by TAs.
*schedule varies depending on the program you in which you enroll.
Phase 2
Get the internship.
Apply your skills.You'll work on real data challenges in a structured, mentored environment with weekly check-ins and deliverables. Gain hands-on experience using Python, machine learning, and AI to solve problems for innovative companies, while building a portfolio that stands out on your resume.
Client project ownership.
Weekly mentor guidance.
Resume ready deliverables.
Phase 3
Get ahead.
Beyond iX, you carry forward hands-on work experience, an edge in competitive recruiting, and a global network that opens doors throughout your career.
Learn how to network.
Get recruiting support.
Access to Job Tools to get ahead.
As a college student, you might be feeling what many others are feeling right now.
Lack of work experience.
Uncertainty of career path.
Navigating complex job applications.
Balancing schoolwork and job prep.
Fear of rejection or failure.
Not knowing how to build a network.
iX Data Science + AI is designed to give you the skills, experience and systems to overcome these challenges.
You'll learn from industry experts.
Imagine going to class every day, with the world's best industry experts! Students have direct, personalized access to industry experts who teach, guide, and mentor you through your bootcamp and internship experience.
Gorden Jemwa (PhD)
impact.com
PhD & Former Head of Data at Luno, now driving AI innovation at impact.com, empowering students to master real-world data science.
Claire Davis-Reddy (PhD)
Independent Consultant
Independent data science consultant and educator with a PhD in remote sensing, over a decade in analytics and research, and leadership experience in open data and climate risk projects.
The professor was super engaging and passionate. It made learning fun.
Sophie Schenkel
University of Michigan
Takudzwa Musarurwa
Freelance Software Dev
Bioinformatician and data scientist with M.Sc. in Data Science (UCT), blending software development, machine learning, and genomic research.
Natalie Nsahlai
Simply
Data science and analytics professional with experience in teaching, business analysis, and mentorship.
Miguel Lacerda
Balyasny Asset Management L.P.
Acclaimed data science leader and educator, pioneering AI solutions and analytics programs, with award-winning expertise spanning academia, finance, and healthcare.
Connor Lawless
Stanford University
Post-doctoral researcher at Stanford in ML and optimization, ex-Cornell PhD; innovating human-centered AI, interpretable clustering, and teaching data science globally.
Enock Chemochek
The AI Institute
Data Scientist at The AI Institute, crafting advanced algorithms, leading data-driven projects, and championing knowledge sharing in data science.
Andrew B. Collier
Qube Research & Technologies
Veteran data scientist with deep expertise in machine learning, data engineering, and mentoring future analytics leaders globally.
Where you'll intern.
150 hours of hands-on data science experience, applying Python, analytics, and AI techniques to real-world problems. By the end, you'll have mastered the Data Science + AI toolkit, and earned an internship project you can showcase on your resume and portfolio.
Industry: Digital Commerce
Adbot provides automated campaign management, powered by cutting-edge machine learning technologies.
Project & KPIs:
In this project, students analyzed Adbot’s ad click dataset to uncover industry-specific marketing insights. They developed methods to enrich client profiles with industry data, calculated average click-through and cost-per-click rates by sector, and recommended optimal Google Search Ad spend for each industry.
Industry: Health Tech/Biotech
SA biotech startup, formerly AxaiTech, accelerating discovery-to-treatment through proteomics and genomics with CPGR.
Project & KPIs:
Conduct a literature review of peptide biochemistry; curate a dataset; propose a predictive modeling approach; begin model implementation; prepare a presentation on research, dataset, and modeling plan.
Industry: Data Science
Neurabuild partners with leading researchers and organizations to create nature-inspired technologies, with a focus on space domain awareness and neuromorphic systems.
Project & KPIs:
In this project, students collaborated with Neurabuild and Western Sydney University researchers on the Astrosite™ initiative, which focused on space domain awareness.
Industry: Machine Learning
DataProphet is an AI-as-a-Service company of machine learning specialists with a global presence. They work with manufacturers worldwide to optimize their production LPIs via existing plant data and machinery.
Project & KPIs:
In this project, students worked with DataProphet, a global AI-as-a-Service company, to explore how machine learning can optimize manufacturing processes.
Industry: Data Intelligence
VoxCroft uses its proprietary population-centric intelligence methodology to extract the “voice of the people” and uncover risks and opportunities.
Project & KPIs:
This project gave students the opportunity to work with VoxCroft’s population-centric intelligence tools to understand how advanced data collection, AI, and NLP could extract insights from hard-to-reach sources.
What you'll walk away with.
You'll leave Data Science + Al with a versatile toolkit in Python, analytics, and machine learning. Skills you can take into consulting, finance, tech, research, or even your own venture. Alongside technical confidence, you'll gain real-world project experience and a portfolio that signals you're ready for what's next.
Resume example 1.
Resume example 2.
Resume example 3.
Aalyan Arif Mahmood
Macalester College
I have learned so much about the field of data science. I can safely say that I am walking out of this course with the skills I was aiming to attain. I learned many important skills such as operating GitHub, teamwork in the field of data science and how that works, etc. These skills will surely come in handy.
Nicole Iannaci
ND.
Over the last 6 weeks I have learned an unbelievable amount of new material. While the workload was stressful at times it was still manageable and helped me develop skills that will be quite useful for my career path in the future.
"iX was designed to give you everything you need to get the job you want."
What do data scientists earn with Al skills?
A clear view of how base pay scales from early career to executive roles, highlighting both mid-range and upper-end earnings.
Source: dataquest.io
Much, much more than just a summer program.
Explore all the additional modules:
The Complete iX Data Science + AI Career Package:
6-Week summer course and internship: taught by industry experts
$4,850
With the live program you also get the complete iX Job System:
LinkedIn + Résumé Workshop.
Value $149
Power Skills Workshop.
Value $249
Recruitment Masterclass.
Value $495
Networking Masterclass.
Value $105
AI Recruitment Strategy Masterclass.
Value $99
Total bundle value:
$5,947
2026 offer:
$4,850
The iX Tuition-refund promise.
Based on our 12-year track record, we have 100% confidence in our program. For students who complete the full iX program, our promise is that they will receive at least 1 job offer within 6 months after university graduation, or we will refund the full iX tuition.*
*Subject to the terms in our 100% refund policy found here.
Apply, it takes 15 minutes.
Simple steps to start your iX journey this summer.
Step 1.
Choose a program that suits you.
Pick a program that fits your goals or helps you discover new career interests.
Step 2.
Apply for your chosen program.
Answer a few questions so we can review your application.
Step 3.
Get invited to a 1-on-1 interview.
You’ll be invited in 3 days. Interviews are 20 minutes and require no preparation.
Step 4.
Secure your spot.
If accepted, you’ll access a place on the iXperience 2026 program.
Regular 2 deadline: February 19, 2026
Resources.
Download essential guides and documents to help you prepare for your Online Data Science & AI experience.
Info pack.
Complete guide to everything you need to know about iX Data Science & AI is right here.
Curriculum.
Curriculum overview including frameworks, methodologies, and learning outcomes.
Free career clarity assessment.
Take this free 5-minute assessment to find your ideal career path.
Figure out what career suits you.
Answer a few quick questions and uncover which high-paying career path matches your interests, strengths, and learning style.
Get a personalized action plan.
We'll give you next steps to build real-world experience, land internships, and beat the competition before graduation.
Reviews from our Alumni.
Apply for Summer 2026.
Join thousands of students who've transformed their futures in just 6 weeks. Spots are limited by course and location.
Transforming students into industry-ready professionals through immersive learning and real-world experience.
4,500+ Alumni
85% at Fortune 500's
80+ Global internship partners
Partnered with
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