Change your life.
Learn Data.
Live online evening classes • 3 hours a day • 3 days a week • Tue/ Wed/ Thu
4 intensive online courses
Choose the path that matches your career goals
Data Analytics
18 weeks · Part-time online
Master data analysis with Python, SQL, and business intelligence tools to transform raw data into actionable insights.
- •Python & SQL mastery
- •Power BI & data visualization
- •Statistics for data analysis
- •Real business case studies
AI Workflow
16 weeks · Part-time online
Design AI-powered workflows and automations that connect tools, APIs, and LLMs to streamline real business processes.
- •AI automation & workflow design
- •No-code & low-code tools (Zapier, Make, n8n)
- •LLM-powered agents and orchestration
- •Real business automation projects
Data Science & AI
18 weeks · Part-time online
Build AI-powered applications with machine learning, deep learning, and LLMs using industry-standard frameworks.
- •Machine Learning & Deep Learning
- •LLMs & Generative AI (LangChain)
- •MLOps & model deployment
- •AI product development
Data Engineering
18 weeks · Part-time online
Design and build scalable data infrastructure with cloud platforms, pipelines, and modern data stack tools.
- •Cloud data warehouses (Snowflake, BigQuery)
- •ETL & orchestration (dbt, Airflow)
- •Big data with Spark & Databricks
- •Real-time data streaming
Meet the team
Two founders building practical routes into data and AI careers - read their full story on the team page.
William Hornig
Co-Founder, Data & Technology
10+ years in data infrastructures, Big Data modeling and analysis for organizations from 20 to 130k employees
Rowan Read
Co-Founder, Education & Operations
A decade in the UK Civil Service - chose the practical route into tech
Why Luxley?
What makes our courses different
Real-world projects
Build a portfolio of data projects that demonstrate your skills to employers.
Career change support
We support you step by step during and after the programme.
Instructors with industry track records
Learn from people who have done the work in data and AI roles, not just taught the theory from slides.
How our courses work
A clear structure, real support, and a community to help you actually change career.
Live sessions + guided self-study
Combine live, interactive classes with structured self-study so you keep progressing every week, wherever you are.
Supportive instructors
Get help from instructors who answer questions, review your work, and guide you through the difficult parts.
Career support
Receive guidance on CVs, LinkedIn, portfolios, and interview preparation to help you position yourself for data roles.
Remote-first learning community
Learn fully online with a cohort, collaborate on projects, and get support from peers in your time zone and beyond.
Learn by building
Real projects from day one
Customer Churn Prediction
Helps a company identify customers likely to leave before they actually do
- Duration
- 4-6 weeks
- Programme
- Machine Learning for Business
- Business impact
- Reduce churn rate and improve customer lifetime value
NLP Sentiment Analysis
Helps a company understand how customers feel about their product at scale
- Duration
- 4-5 weeks
- Programme
- AI & Deep Learning
- Business impact
- Improve customer experience and brand perception
Real-time Data Pipeline
Helps companies process and react to live data instantly
- Duration
- 5-7 weeks
- Programme
- Data Engineering
- Business impact
- Increase reactivity and enable real-time decision making
AI Chatbot with RAG
Helps businesses answer customer questions using their own data
- Duration
- 4-6 weeks
- Programme
- Applied AI Systems
- Business impact
- Reduce support costs and improve response quality
Supply Chain Optimization
Helps companies reduce costs and avoid stock shortages
- Duration
- 5-8 weeks
- Programme
- Data Engineering & Analytics
- Business impact
- Lower operational costs and improve inventory efficiency
Sales Dashboard Analytics
Helps a sales team understand what drives revenue and where it drops
- Duration
- 3-4 weeks
- Programme
- Data Analytics
- Business impact
- Improve decision-making and revenue forecasting
Data careers in numbers
These figures are based on recent UK and international salary and labour market reports. They are indicative only and not a promise of outcome.
Data analyst salaries (UK)
£35k–£45k / year
Typical range for data analysts from junior to mid-level in the UK in 2026.
Source: Jobted, PayScale 2026
Data scientist salaries (UK)
£50k–£80k / year
Approximate range for data scientists across the UK, excluding extreme senior roles.
Source: Levels.fyi, Reed, IT Jobs Watch 2025–2026
Data engineer salaries (UK)
£45k–£75k / year
From junior to experienced data engineers in the UK, depending on location and sector.
Source: Jobted, IT Jobs Watch 2025–2026
Growth of data & AI roles
+30% by 2030
Digital and data occupations are among the fastest-growing job families towards 2030.
Source: UK Govt skills assessments, World Economic Forum 2025
From application to first role
A simple, transparent journey from your first message to applying for data roles.
1. Apply online
Tell us about your background, goals, and which programme you are interested in.
2. Meet the team (optional)
If you want, you can book a short call with our team to check fit, schedule, and expectations-or continue without a call. The choice is yours.
3. Learn & build
Follow the live sessions and self-study plan, complete projects, and get feedback.
4. Prepare for roles
Work on your CV, portfolio, and interview preparation with our support.
Are these courses for you?
See if our programmes match your situation-no pressure, just clarity.
This is a good fit if you:
- are looking to begin a career in data, whether you're a beginner or a professional transitioning from another field
- can commit consistent time each week to learning and completing projects
- value the flexibility of a fully online programme with evening classes and no travel time
It may not be a fit if you:
- are hoping for a “get rich quick” scheme or a guaranteed job outcome
- cannot dedicate regular time each week to studying and practicing
- expect to land a data job without building your skills, developing a portfolio and CV, and practicing interview skills
Common questions
The five things people ask before they apply - for more detail, see our full FAQ.
Do I need a technical background?
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No, not for every programme. Data Analytics and AI Workflow are designed so you can begin without prior coding experience. Basic computer literacy and a willingness to learn are enough. Data Science and AI, as well as Data Engineering, progress at a faster pace and expect you to be able to pick up Python or SQL using our preparatory materials. We review your background during the application process and provide honest guidance on whether a programme matches your level.
Can I really do this alongside a full-time job?
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Yes. Every course is delivered as online evening classes. You should expect around 20 hours of learning per week, including 9 hours of live sessions and approximately 11 hours of self study and project work. Live evening classes are scheduled with working professionals in mind. You are not expected to study full time; however, the course is still intensive and requires consistent effort each week alongside your professional commitments.
What happens after I graduate?
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Your projects will be reviewed in detail, with feedback on their strengths and areas for improvement. You will receive structured guidance on how to showcase your projects and skills in your CV, how to present your work professionally, and how to discuss your experience in interviews, including demonstrating projects from your GitHub to potential employers. You will also have access to our alumni network, where you can connect with peers, share insights and opportunities, and opt in to have your CV retained for potential employer referrals.
How is Luxley different from a cheap online course?
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A low-cost video library leaves you alone with pre-recorded content. Luxley is cohort-based: live sessions with instructors who answer questions, review work, and hold you to the same standard employers care about. You build a portfolio of real projects, not multiple-choice badges. You pay for structure, accountability and people who know what the job actually looks like.
Is this recognised by UK employers?
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UK employers hire based on skills and evidence, including interviews, technical assessments and portfolios, rather than the name on a certificate alone. Luxley is not a university degree and we do not claim formal accreditation such as OfS regulated qualifications. What we provide is intensive, practical training and help building projects that you can present in applications. Your proof comes from what you can build and explain, which is what hiring managers in data and AI assess.
Ready to change your career
Next intake open - small cohorts with live teaching, limited places each start.
Reserve my place - Free application