How long is the BSc in Predictive Analytics at LSCE?

The BSc in Predictive 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 Predictive Analytics online?

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

Is the BSc in Predictive Analytics recognised in the UK?

The BSc in Predictive Analytics is a UK Level 6 honours degree aligned with Institute of Analytics, BCS and RSS competencies and recognised by UK data employers.

What are the entry requirements for the BSc in Predictive 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 Predictive 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 Predictive Analytics | LSCE | Harold International College of London

Course Overview

The BSc in Predictive 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 predictive analytics and forecasting. The course delivers practitioners in time-series modelling, forecasting, causal analysis and applied machine learning, 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 Predictive Analytics, you will have produced a substantial final-year project, a professional portfolio and a defendable independent study. Assessment across the BSc in Predictive 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 Predictive 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 Predictive 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 Predictive Analytics, reviewed each academic year against the latest professional-body guidance.
Applied laboratory, project or portfolio work in time-series modelling embedded across every taught module of the BSc in Predictive Analytics, so learning stays close to industry practice.
Weekly named-tutor visibility on the BSc in Predictive 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 retail, energy, financial services and public-sector forecasting 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 Predictive 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 Predictive Analytics.
Rolling intakes and structured induction so working professionals on the BSc in Predictive Analytics can start when the diary allows, plus wraparound English-language and study-skills support during induction.

What You Will Learn

Model time series with ARIMA, exponential smoothing and modern methods
Design forecasting pipelines with rigorous evaluation baselines
Apply causal-inference techniques to observational data
Build machine-learning models for demand, risk and churn prediction
Frame uncertainty, prediction intervals and confidence framing
Deploy analytics into production with reproducible workflows
Apply UK GDPR and Institute of Analytics conduct expectations
Deliver a Level 6 individual project on a live forecasting problem

Who This Course Is For

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

Career Pathways

Predictive Analytics Consultant
Data Scientist
BI Analyst
Forecasting Analyst
Risk Analyst
Machine Learning Engineer (junior)
Demand Planner
Insight Analyst

The LSCE careers service maintains a working contact book across UK retail, energy, financial services and public-sector forecasting teams, and runs one-to-one application coaching during the final stage of the BSc in Predictive 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 Predictive Analytics. Alignment with Alan Turing Institute further strengthens the standing of the BSc in Predictive 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 Predictive 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 retail, energy, financial services and public-sector forecasting teams. Students on the BSc in Predictive Analytics also access the Harold International College shared library and elective-module catalogue subject to availability.

Apply for BSc in Predictive Analytics

Begin your honours degree with the BSc in Predictive 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 Predictive Analytics. Enrol Now