How long is the BSc in Data Analytics?

The BSc in Data Analytics runs three years full-time, with part-time and accelerated routes available. A year-two industry placement is embedded in the data analytics programme.

How is the BSc in Data Analytics delivered?

The BSc in Data Analytics is delivered on-campus in central London, fully online with GPU access, or by distance learning. Every route joins the same intake cohort.

Is the BSc in Data Analytics UK recognised?

Yes. The BSc in Data Analytics is a UK Level 6 honours degree aligned with BCS, IoA and RSS competency areas and prepares graduates for UK analytics practice.

What are the entry requirements?

Applicants need 96 UCAS points including maths, statistics, economics or computing, plus GCSE English and Maths at grade 4, to enter the BSc in Data Analytics. BTEC and Diploma holders can articulate.

What are the fees and funding options?

Fees for the BSc in Data Analytics vary by route. UK applicants can review Student Finance eligibility, and LSCE offers merit scholarships, monthly instalments and employer-sponsorship advice.

BSc in Data Analytics | LSCE | Harold International College of London

Course Overview

The BSc in Data Analytics at LSCE is a three-year UK Level 6 honours degree preparing graduates for chartered-track practice in analytics, reporting and applied data science across UK sectors. The syllabus is aligned with the Institute of Analytics, BCS and the Royal Statistical Society competency frameworks and taught in central London with a placement year and an industry-facing final-year capstone integrated into the programme structure from induction onwards, with part-time and accelerated routes available for eligible applicants.

By graduation you will be modelling scheme options with Python, SQL, Power BI, Tableau and cloud analytics warehouses, presenting your final-year dissertation to a review panel drawn from LSCE careers-service industry contacts, and holding a portfolio structured for graduate applications across UK employers. Assessment blends taught coursework, an industry placement year and a defended final-year dissertation, all moderated to UK Level 6 honours standards, and the placement is treated as an integral part of the award rather than an optional add-on.

Key Features

Three-year Level 6 honours degree aligned with Institute of Analytics competency frameworks, so the credential maps cleanly to the Institute of Analytics expectations
Applied labs in SQL, Python analytics stacks and cloud data warehouses, supported by weekly tutor sessions on analytics
Year-two placement with a UK analytics employer through the LSCE careers service, delivered against employer-facing assessment briefs
Final-year dissertation delivering an applied analytics artefact, with structured cohort review each intake
Guest lectures from BCS specialist groups and Royal Statistical Society members, reinforced by named programme-tutor supervision throughout
Coverage of GDPR, ethical AI and bias considerations, moderated to the appropriate UK level standard
Three delivery modes with matched cloud lab provisioning, drawing on BCS (The Chartered Institute for IT) specialist-group input

What You Will Learn

Model an analytics problem and choose an appropriate technique within realistic UK sector contexts related to analytics
Query relational and cloud warehouses at production scale using Python and comparable tooling
Build production-grade dashboards for executive and operational audiences against employer-facing assessment briefs
Design a data pipeline through staging, transformation and reporting layers in supervised laboratory sessions
Apply descriptive, diagnostic and predictive analytics techniques to a standard suitable for UK employer evidence
Communicate analytics findings to non-technical decision-makers with structured written and verbal feedback from a named tutor
Assess ethical, privacy and bias considerations in analytics moderated by the programme tutor at each stage
Structure an analytics dissertation to Level 6 honours standard and reviewed inside the closing capstone stage

Who This Course Is For

School leavers with maths, science or computing A-levels or BTEC ready to formalise applied evidence in analytics
BTEC and LSCE Certificate or Diploma holders progressing on articulation seeking a UK credential recognised by employers in the sector
International applicants targeting a UK analytics career moving between adjacent specialisms across engineering and technology
Working analysts seeking honours-level formal credentials bringing prior evidence for credit-transfer discussion at enrolment
Career changers from statistics, economics or operations combining sponsored study with employer commitments in analytics

Career Pathways

Data Analyst across UK employers in analytics
BI Analyst in London and the wider UK
Junior Data Scientist at senior technician or graduate entry level
Predictive Analytics Consultant supported by the LSCE careers service contact book
Data Engineer with structured application coaching in the final stage
MI Analyst and named alumni introductions
Reporting Analyst through the LSCE industry-careers day

The LSCE careers service supports final-year students on the BSc in Data Analytics with structured application coaching, a graduate industry-careers day, placement-year coordination and named connections into UK employers matched to analytics. Alumni introductions, structured mock interviews and application-review sessions run throughout the final stage, and the careers service maintains a working contact book of UK graduate-scheme recruiters that spans consultancies, in-house teams and public-sector employers. Continued careers-service access is a standing benefit for LSCE graduates.

Entry Requirements

A-levels totalling at least 96 UCAS points (or international equivalent), including one science, maths or computing subject.
GCSE English at grade 4/C and Mathematics at grade 4/C (or equivalent).
Applicants with a Level 3 BTEC or a completed LSCE Certificate/Diploma progress on articulation.
IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
Two references, normally one academic and one personal.

Why Study at LSCE

LSCE is the specialist computing and engineering division of Harold International College of London. Our small tutor-visible cohorts, alignment with UK professional bodies including the Institute of Analytics and BCS, and central London location put BCS (The Chartered Institute for IT), the Alan Turing Institute and central London's engineering consultancies within a short tube ride of every classroom. Every intake is small enough that a named programme tutor knows your progress week by week, and every route joins the same cohort with equal timetable, lab and careers-service entitlement, so a distance-learning student is not a second-class member of the intake.

London is the UK's largest engineering-and-technology employment centre, home to major software firms, defence primes, fintech clusters, transport engineering practices and the Royal Academy of Engineering, and analytics is a specialism in active hiring across the capital. LSCE students routinely attend BSides London, IET Young Professionals events, the IMechE London Region programme and BCS specialist group meetings during their studies. The placement year and final-year capstone are coordinated through the LSCE careers service and drawn from a working contact book of UK graduate employers.

Apply for BSc in Data Analytics

Begin your honours degree with LSCE. Click Enrol Now, admissions will respond within one working day with UCAS guidance, placement information and scholarship review. Admissions will confirm intake dates, credit-transfer arrangements, scholarship review and any credential-specific guidance for the BSc in Data Analytics within one working day, and international applicants receive dedicated visa, accommodation and English-language guidance alongside the academic decision. Enrol Now