How long is the BSc in Big Data Analytics at LSCE?

The BSc in Big Data Analytics runs three years full-time, with part-time and accelerated routes available, including a year-two industry placement.

Can I study the BSc in Big Data Analytics online?

Yes. LSCE delivers the BSc in Big Data Analytics on-campus, fully online with cloud credits, or by distance learning.

Is the BSc in Big Data Analytics recognised in the UK?

The BSc in Big Data Analytics is a UK Level 6 honours degree aligned with Institute of Analytics, BCS and Linux Foundation references, recognised by UK data employers.

What are the entry requirements for the BSc in Big Data Analytics?

You need at least 96 UCAS points, GCSE English and Maths at 4/C, or articulation from a completed LSCE Certificate or Diploma. IELTS 6.0 is required for non-native English speakers.

How much does the BSc in Big 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.

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

Course Overview

The BSc in Big Data Analytics is a UK Level 6 honours degree, three years full-time (part-time and accelerated routes available). The programme runs across 3 years and is focused on big data analytics. The course delivers practitioners in distributed data platforms, Spark, streaming analytics and large-scale data 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 full three-year honours cohort, with weekly tutor visibility, structured critique of student work and a named programme tutor throughout your studies.

By the time you complete the BSc in Big Data Analytics, you will have produced a substantial final-year project, a professional portfolio and a defendable independent study. Assessment across the BSc in Big Data Analytics blends coursework, laboratory work, examinations and a final-year individual 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 6 standards, and the course sits inside the LSCE ladder so credit transfer and articulation are considered from your first tutorial. Where relevant, the BSc in Big 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 BSc in Big 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 BSc in Big Data Analytics, reviewed each academic year against the latest professional-body guidance.
Applied laboratory, project or portfolio work in distributed data platforms embedded across every taught module of the BSc in Big Data Analytics, so learning stays close to industry practice.
Weekly named-tutor visibility on the BSc in Big Data Analytics with structured written feedback on your Level 6 individual project and clear progression targets.
A full three-year honours cohort with cross-cohort critique, employer-style project reviews and mentor pairings drawn from the LSCE alumni network.
LSCE careers-service introductions to UK banks, retailers, streaming platforms and public-sector data teams through the London employer contact book, plus at least one industry-careers day each academic year.
Three parallel study modes on the BSc in Big 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 BSc in Big Data Analytics.
Rolling intakes and structured induction so working professionals on the BSc in Big Data Analytics can start when the diary allows, plus wraparound English-language and study-skills support during induction.

What You Will Learn

Design distributed data platforms using Spark, Kafka and modern lakehouse stacks
Model streaming analytics for real-time decision making
Apply data engineering practice at scale
Frame data governance, PII and UK GDPR at platform level
Model whole-life cost and cloud economics of big-data platforms
Deploy analytics pipelines with reproducible orchestration
Communicate findings to business and technical stakeholders
Deliver a Level 6 individual project on a big-data problem

Who This Course Is For

A-level, BTEC and international foundation graduates entering big-data study
Working analysts extending into data engineering
Career changers with a numerate background
International undergraduates targeting UK big-data employers
Applicants planning a placement year with a data-driven employer

Career Pathways

Data Engineer
BI Analyst
Analytics Engineer
Big Data Engineer
Cloud Data Engineer
Streaming Analytics Engineer
Predictive Analytics Consultant
Data Platform Engineer

The LSCE careers service maintains a working contact book across UK banks, retailers, streaming platforms and public-sector data teams, and runs one-to-one application coaching during the final stage of the BSc in Big 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-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

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 BSc in Big Data Analytics. Alignment with Alan Turing Institute further strengthens the standing of the BSc in Big 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 BSc in Big 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 banks, retailers, streaming platforms and public-sector data teams. Students on the BSc in Big Data Analytics also access the Harold International College shared library and elective-module catalogue subject to availability.

Apply for BSc in Big Data Analytics

Begin your honours degree with the BSc in Big Data Analytics at LSCE. Click Enrol Now, and admissions will respond within one working day with UCAS guidance, placement information and scholarship review for the BSc in Big Data Analytics. Enrol Now