Frequently Asked Questions
Answers to the most common questions about Luxley Digital College courses, admissions, pricing, schedule and career support. If you do not see your question answered here, you can always contact us directly.
What programs does Luxley Digital College offer?
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We currently offer four intensive part-time online courses (16–18 weeks depending on the programme):
- Data Analytics (18 weeks)
- Data Science & AI (18 weeks)
- Data Engineering (18 weeks)
- AI Workflow (16 weeks)
Each program is designed to take you from beginner or intermediate level to job-ready, with real-world projects and industry-standard tools.
Are the courses full-time or part-time?
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All our courses are part-time and fully online, designed for people who work or have other commitments. Expect 10–15 hours per week including live classes, self-study and projects. Live sessions are interactive and scheduled at times convenient for working professionals, often evenings or weekends depending on the cohort.
Do I need prior experience to join?
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It depends on the program. We review your profile during the application process and share prep material if needed:
- Data Analytics: beginners welcome, no coding required, basic computer skills help.
- Data Science & AI / Data Engineering: some basic Python or SQL is recommended; we can provide preparation material.
- AI Workflow: no-code or low-code friendly, suitable for non-technical professionals who want to automate processes with AI.
When do the next cohorts start?
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The first cohort starts on 1 September 2026, then a new intake runs every four months (January, May, September). See our cohorts page or submit an application for exact dates and to secure your spot.
How much does each course cost?
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See our pricing page for current tuition by programme, payment terms, and pricing FAQs. Payment is arranged under your offer and enrolment agreement after acceptance (we do not currently offer a monthly instalment plan). For promotions or personalised questions, apply or contact us-we will send full details after reviewing your application.
Is there financing, scholarships or payment options?
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Tuition is payable as set out in your offer and enrolment agreement; we do not currently offer pay-monthly or multi-instalment plans. We do not participate in UK government-backed loans or apprenticeships, but we review scholarship requests case by case, for example for underrepresented groups. Mention your situation in your application so we can discuss options.
Are the courses available to international students?
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Yes. All programs are 100% online and open to students worldwide. No visa sponsorship is required or provided, as there is no in-person attendance in the UK.
Will I get a job guarantee or job placement after the course?
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We provide comprehensive career support including CV and LinkedIn optimisation, portfolio building, interview preparation, mock interviews and access to our alumni network, but we do not offer a job guarantee. Job outcomes depend on your effort, market conditions and background. Many graduates land roles in data, analytics and AI, with indicative UK junior salaries in recent reports around £35,000–£50,000 and above. These figures are indicative only and not a promise.
What kind of career support do you provide?
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Career support starts during the program and continues after graduation. It includes:
- Building a strong portfolio with capstone projects.
- Reviews of your CV, LinkedIn and GitHub or portfolio profiles.
- Interview preparation and mock technical interviews.
- Guidance on effective job search strategies.
- Access to our alumni community for networking and referrals.
What technologies and tools will I learn?
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It depends on the program you choose:
- Data Analytics: Python, SQL, Pandas, NumPy, statistics, data visualisation, BI dashboards in Power BI (and complementary tools such as Tableau where relevant).
- Data Science & AI: Python, scikit-learn, PyTorch, Hugging Face, LangChain, large language models, MLOps and model deployment.
- Data Engineering: SQL, Python, Snowflake or BigQuery, dbt, Airflow, Spark, Kafka and cloud platforms in the modern data stack.
- AI Workflow: Zapier, Make, n8n, LangChain, AI agents, API integrations and no-code or low-code automation tools.
Are the classes live or pre-recorded?
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Classes are live and interactive with experienced industry instructors. You will join real-time sessions with Q&A, group discussions, code reviews and direct feedback. Recordings are available so you can review content afterwards.
What do I need to participate?
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You will need a reliable laptop with at least 8 GB of RAM recommended, a stable internet connection and a quiet space for live sessions. No special hardware is required as everything runs in the cloud or through standard software tools.
Can I speak to an alumni or current student?
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Yes. We can connect you with alumni for honest feedback about the experience and outcomes. Mention this in your application or during our discovery call and we will arrange an introduction where possible.
What is your refund or deferral policy?
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We have a clear refund and deferral policy which we share in full when you are accepted. In general there is a short cooling-off period after you start the program. Deferrals to the next cohort are possible in exceptional cases. Contact us as early as possible if your situation changes so we can review options.
Still have questions?
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We are here to help. You can apply now or send us a message and we will schedule a short call to discuss your goals, fit and any remaining doubts about the programs.
Ready to explore a program?
Start with our free assessment or apply directly to the course that matches your goals.