How long is the BSc in Data Science?

The BSc in Data Science is a three-year UK Level 6 honours degree, with part-time and accelerated routes and a year-two placement at LSCE.

How is the BSc in Data Science delivered?

The BSc in Data Science is delivered on-campus in central London, online with GPU lab provisioning, or by distance learning, with weekly labs across all routes.

What are the entry requirements?

You need 96 UCAS points including a relevant subject, GCSE English and Maths, and IELTS 6.0 for non-native speakers. BTEC and Foundation Year students articulate into the BSc in Data Science.

How much does the BSc in Data Science cost?

Fees for the BSc in Data Science follow UK Level 6 bands. Scholarship review, instalment plans and employer-sponsored routes are available, and admissions confirms figures within one working day.

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

Course Overview

The BSc in Data Science is a UK Level 6 honours degree running three years full-time, with part-time and accelerated routes. It combines statistics, programming and applied machine learning so graduates can turn UK data into decisions across the private, public and third sectors. The syllabus is aligned with BCS practitioner competencies, Institute of Analytics guidance and Royal Statistical Society engagement material.

By graduation you will be handling data end to end, delivering a year-two industry placement and closing with a final-year capstone on a real data science brief.

UK applied AI practice is shaped by the Alan Turing Institute research community, UK AI Safety Institute engagement material and everyday employer pressure to deploy responsibly on real data.

Students are assessed through modular coursework, examinations, placement reports and a substantial final-year project. The mark profile mirrors UK honours-degree conventions.

The undergraduate cohort model blends lectures, seminars, labs and studio-format critique. Named personal tutors track every student through progression boards and one-to-one meetings.

Progression is tracked through structured module boards and personal-tutor meetings, with clear routes into resit, transfer and articulation.

Key Features

Curriculum aligned with BCS practitioner competencies and Institute of Analytics guidance.
Modules on probability, statistics, programming, ML and data engineering.
Structured year-two industry placement supported by LSCE careers service.
Coverage of AWS, Google Cloud and Azure data services.
Engagement with Alan Turing Institute themes.
Final-year capstone on a real data science brief.
Access to GPU lab provisioning on-campus and remotely for training and evaluation work.
Structured writing workshops covering research notes, model cards and executive briefings.
Access to LSCE alumni network across UK AI, data and analytics employers for mentoring and job introductions.
Weekly clinics with a named programme tutor for one-to-one model review and research coaching.
Regular data-jam and Kaggle-style challenges organised by the LSCE student society.
Cohort-wide showcase events at the close of each teaching block with employer observers invited.
Access to LSCE's cross-departmental technology library and machine-learning journal subscriptions.

What You Will Learn

Write clean Python and SQL for data problems.
Apply probability and statistical inference.
Design and evaluate classical and neural models.
Build ETL and feature pipelines.
Communicate findings visually and in prose.
Frame ethical, legal and fairness considerations.
Use notebooks alongside production-quality code.
Present data-driven decisions to non-technical audiences.
Structure a personal AI portfolio and public repositories suitable for UK job applications.
Read and reproduce a technical paper end to end.
Contribute working notebooks and repositories that survive external review.
Manage model reproducibility and lineage for real projects.
Frame ethical, legal and safety considerations from the earliest project stages.
Manage annotation, curation and consent for real training data.
Communicate AI decisions and limitations honestly to non-technical stakeholders.
Balance model performance, cost and safety trade-offs for a real deployment.

Who This Course Is For

School leavers targeting a data science career.
BTEC and Foundation Year students articulating to an honours degree.
Serving analysts moving toward data science.
International applicants seeking a UK-recognised BSc.
Working professionals topping up an existing HND or Foundation Degree.
International applicants targeting a UK-recognised BEng or BSc with structured UK placement support.
Applicants using LSCE Certificate or Diploma routes for structured skills change.
Applicants seeking a UK-recognised credential to complement an international qualification.

Career Pathways

Data Scientist
Data Analyst at senior grade
Machine Learning Engineer
BI Analyst
Data Engineer
Predictive Analytics Consultant
Applied AI Researcher (junior track)

The LSCE careers service maintains contacts across London-region data science teams, banks, insurers, retailers and public bodies. Alumni progress into UK graduate schemes, technical roles at consultancies and specialist positions across the wider engineering and technology economy.

Undergraduate students receive named-industry introductions during placement and in the final year, matched to graduate-scheme application windows.

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 into the BSc in Data Science.
IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
Two references, normally one academic and one personal.

The LSCE admissions team reviews applications on a rolling basis and confirms decisions within one working day. Applicants who need a specific decision timeline can request a fast-track review at application.

Why Study at LSCE

LSCE, part of Harold International College of London, teaches computing in small tutor-visible cohorts and partners with UK professional bodies including BCS, the Royal Statistical Society and the Institute of Analytics. The London campus places the Alan Turing Institute and City-based data science teams within a short tube ride.

Undergraduates choose from on-campus, online with GPU lab provisioning, or distance learning with the same provisioning, and every route benefits from the LSCE careers service. The careers-service contact book covers London consultancies, public-sector delivery groups and specialist employers relevant to each department.

Every LSCE student is enrolled inside Harold International College of London, which means access to the shared library, careers-service industry connections and elective-module access across the wider College programme catalogue subject to availability.

Apply for BSc in Data Science

Begin your honours degree with LSCE. Click Enrol Now, admissions will respond within one working day with UCAS guidance, placement information and scholarship review. Enrolment is open on rolling intake dates so early applicants receive the widest choice of module electives and supervisor slots.

The admissions team will confirm intake dates, module electives, payment plans and any scholarship review inside a single response so applicants can plan the next step without waiting. Applicants who need written confirmation for sponsors, employers or immigration processes will receive a formal admissions letter with each decision.