Frequently Asked Questions

Yes. We run a free 90-minute live taster on Zoom, the same session for all four programmes: a short presentation, then a live demo. There is no charge and no commitment. After the class you can decide whether to enrol for the January 2027 intake, or April if that fits better. Use the button at the bottom of this page, or see pricing when you are ready to enrol.

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.

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.

It depends on the program. We can talk this through on the free taster class, and we share prep material if you need it:

• 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.

Our September 2026 cohort is now full. The next intake opens 1 January 2027, then a new cohort starts every four months (January, May, September). See our cohorts page for dates. To try a class first, reserve a free taster place (button below). Enrolment for a paid place is on pricing.

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, email the team or start with the free taster.

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 when you enrol, or email the team.

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.

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.

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.

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.

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.

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.

Yes. We can connect you with alumni for honest feedback about the experience and outcomes. Mention this on the taster class or email the team and we will arrange an introduction where possible.

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.

We are here to help. Start with the free taster (button below), take the career assessment, or email the team. If you already know you want to enrol, see pricing.