How long is the Advanced Diploma in Data Analytics?

The Advanced Diploma in Data Analytics runs 12 to 15 months on-campus, online or by distance learning.

Can I study the Advanced Diploma in Data Analytics online?

Yes. LSCE delivers the Advanced Diploma in Data Analytics on-campus, fully online with cloud lab access, or by distance learning.

Is the Advanced Diploma in Data Analytics recognised in the UK?

The Advanced Diploma in Data Analytics is a UK Level 5 qualification aligned with Institute of Analytics and BCS competencies, recognised by UK data employers.

What are the entry requirements for the Advanced Diploma in Data Analytics?

You need a relevant Level 4 Diploma, Foundation Year or two years of analytics experience, plus GCSE English and Maths at 4/C. IELTS 6.0 is required for non-native English speakers.

How much does the Advanced Diploma in Data Analytics cost?

Fees are published each intake and vary by mode of study. LSCE admissions confirms current pricing and instalment options within one working day.

Adv Diploma in Data Analytics | LSCE | Harold International College of London

Course Overview

The Advanced Diploma in Data Analytics is a UK Level 5 qualification, 12-15 months. The programme runs across 12-15 months and is focused on data analytics and business intelligence. The course develops practitioners in SQL, Python, dashboarding, statistical inference and analytics engineering, and it is designed for candidates who need a UK credential that carries clear weight with employers. The programme is aligned with UK AI Safety Institute and AWS / Google Cloud / Azure certification frameworks, and it draws on the wider LSCE partnership with UK professional bodies including BCS (The Chartered Institute for IT). Teaching is structured around a senior-track Level 5 cohort, with weekly tutor visibility, structured critique of student work and a named programme tutor throughout your studies.

By the time you complete the Advanced Diploma in Data Analytics, you will have produced a substantial applied project, a technical portfolio and evidence of independent problem-solving. Assessment across the Advanced Diploma in Data Analytics blends coursework, laboratory or lab-book work and a larger applied project, so you leave with evidence you can put in front of a UK employer or a professional-registration panel. Marks are moderated to UK Level 5 standards, and the course sits inside the LSCE ladder so credit transfer and articulation are considered from your first tutorial. Where relevant, the Advanced Diploma in Data Analytics also builds portfolio evidence toward professional-body membership and the Engineering Council or BCS chartership routes, and the wraparound English-language, careers and study-skills provision on the Advanced Diploma in Data Analytics remains available throughout your registered study period.

Key Features

Curriculum aligned with UK AI Safety Institute and AWS / Google Cloud / Azure certification frameworks competency frameworks for the Advanced Diploma in Data Analytics, reviewed each academic year against the latest professional-body guidance.
Applied laboratory, project or portfolio work in SQL embedded across every taught module of the Advanced Diploma in Data Analytics, so learning stays close to industry practice.
Weekly named-tutor visibility on the Advanced Diploma in Data Analytics with structured written feedback on your applied Level 5 project or portfolio submission and clear progression targets.
A senior-track Level 5 cohort with cross-cohort critique, employer-style project reviews and mentor pairings drawn from the LSCE alumni network.
LSCE careers-service introductions to UK financial services, retail analytics, public-sector data teams and consultancy practices through the London employer contact book, plus at least one industry-careers day each academic year.
Three parallel study modes on the Advanced Diploma in Data Analytics: on-campus in central London, fully online with provisioned lab or GPU access, or by distance learning with the same remote provisioning across the Advanced Diploma in Data Analytics.
Rolling intakes and structured induction so working professionals on the Advanced Diploma in Data Analytics can start when the diary allows, plus wraparound English-language and study-skills support during induction.

What You Will Learn

Write production-grade SQL against realistic warehouse schemas
Program analytical pipelines in Python and pandas
Design dashboards in Power BI, Tableau or Looker to stakeholder standards
Apply statistical inference, hypothesis testing and confidence framing
Model data using star schema, snowflake and analytics engineering practice
Communicate findings with narrative structure and executive summary discipline
Frame data governance, PII handling and UK GDPR considerations
Deliver a Level 5 senior-track project on a client-style analytics brief

Who This Course Is For

Working analysts formalising a Level 5 analytics credential
Business professionals moving into a data-focused role
Career changers with a numerate background entering analytics
International applicants preparing for UK BI and analytics teams
Technicians moving from reporting into modern analytics engineering

Career Pathways

Data Analyst
BI Analyst
Analytics Engineer
Data Engineer (junior)
Insight Analyst
Predictive Analytics Consultant
Reporting Analyst
Data Consultant

The LSCE careers service maintains a working contact book across UK financial services, retail analytics, public-sector data teams and consultancy practices, and runs one-to-one application coaching during the final stage of the Advanced Diploma in Data Analytics. Structured application support covers CV, portfolio and interview preparation for UK employers, with warm introductions where cohort fit is close, plus alumni-network mentoring throughout your studies and after graduation.

Entry Requirements

A relevant Diploma (Level 4), Foundation Year, or at least two years of relevant professional experience.
GCSE English at grade 4/C and Mathematics at grade 4/C (or equivalent).
IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
One academic or professional reference.
Applicants with a portfolio, GitHub repositories, or working project experience are encouraged to include these.

Why Study at LSCE

The London School of Computing and Engineering is a specialist computing and engineering division of Harold International College of London. LSCE teaches in small tutor-visible cohorts, partners with UK professional bodies including UK AI Safety Institute and AWS / Google Cloud / Azure certification frameworks, and puts the AI Safety Institute, Alan Turing Institute, the NCSC, the ICE, IMechE and IET, and central London's engineering consultancies within a short tube ride of every classroom on the Advanced Diploma in Data Analytics. Alignment with Alan Turing Institute further strengthens the standing of the Advanced Diploma in Data Analytics with employers.

Whether you study on-campus, fully online with provisioned lab or GPU access, or by distance learning, you join the same Advanced Diploma in Data Analytics intake with weekly tutor visibility and named programme-tutor support. LSCE students routinely attend BSides London, IET Young Professionals events, IMechE London Region evenings and BCS group meetings during their studies, and the careers service holds a working contact book with UK employers across UK financial services, retail analytics, public-sector data teams and consultancy practices. Students on the Advanced Diploma in Data Analytics also access the Harold International College shared library and elective-module catalogue subject to availability.

Apply for Advanced Diploma in Data Analytics

Step up into the Level 5 senior track with the Advanced Diploma in Data Analytics at LSCE. Click Enrol Now, and admissions will respond within one working day with intake dates and credit-transfer guidance for the Advanced Diploma in Data Analytics. Enrol Now