How long is the MSc in Big Data Analytics?

The MSc in Big Data Analytics runs one year full-time or two years part-time at UK Level 7. Distance learners on the MSc in Big Data Analytics usually take the two-year part-time route.

Which delivery modes are available?

The MSc in Big Data Analytics is delivered on-campus in central London, fully online and by distance learning. Every mode includes the same cohort, tutors and assessments.

Is the MSc in Big Data Analytics recognised by UK employers?

Yes. The MSc in Big Data Analytics sits at UK Level 7 and is aligned with BCS, Institute of Analytics and Royal Statistical Society competencies, so it is recognised by UK data employers.

What are the entry requirements?

You need a UK Bachelor's degree at 2:2 or above, or an international equivalent, or five years of senior experience by portfolio. Non-native English speakers need IELTS 6.5 overall.

What does the MSc cost and is funding available?

Fees vary by delivery mode and are on the LSCE course page. Admissions will explain instalment plans and current scholarship review options when you enquire about the MSc in Big Data Analytics.

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

Course Overview

The MSc in Big Data Analytics is a UK Level 7 postgraduate degree, one year full-time or two years part-time at LSCE, delivered on-campus in central London, fully online, or by distance learning. The programme concentrates on distributed analytics platforms and applied data science inside big data analytics, and the syllabus is aligned with UK expectations set by BCS, the Institute of Analytics and the Alan Turing Institute, so the vocabulary, tooling and working practice you leave with match what employers use across London and the wider ai, data science & emerging technologies sector. Every route joins the same intake cohort with the same weekly seminars, assessment brief and named programme tutor, so your choice of study mode never thins the experience or the level of tutor visibility you receive throughout the programme.

By graduation you will work confidently with Apache Spark, Hadoop, Databricks, dbt and cloud data warehouses on realistic big data analytics problems, and you will hold structured coursework, lab notes and portfolio evidence you can show to a UK employer or use as the basis of a top-up application. By graduation you will have delivered a Level 7 dissertation, capstone or sponsor consulting project, and hold a UK postgraduate credential that positions you for senior UK roles or doctoral study. Assessment is distributed through the programme in short exercises, applied coursework and a closing piece, so pressure is spread rather than compressed into a single end-of-year exam. The programme is designed for busy adults, with recorded seminars, clear feedback timelines, applied assessment briefs and named-tutor support at every stage of the MSc in Big Data Analytics journey.

Key Features

MSc in Big Data Analytics sits at the corresponding UK level and is structured tightly around distributed analytics platforms and applied data science, with each teaching block anchored in one substantive artefact.
Curriculum aligned with the standards of BCS, the Institute of Analytics and the Alan Turing Institute, refreshed each year against sector guidance and UK employer expectations in big data analytics.
Hands-on labs and exercises use Apache Spark, Hadoop, Databricks, dbt and cloud data warehouses throughout the taught stage, with realistic problems set from live UK working practice.
Weekly tutor-visible seminars led by working London practitioners with active portfolios in big data analytics, so the working vocabulary matches what you will use in a UK role.
Named programme tutor available for one-to-one clinics, feedback and career coaching across every teaching block of the programme.
Three delivery modes on-campus, fully online and distance learning sharing the same intake cohort, seminars and assessment brief, so mode of study is never a barrier to full participation in big data analytics discussion.
Structured writing, documentation and review workshops embedded across the programme, so evidence of big data analytics practice is produced continuously rather than only at exam points.

What You Will Learn

Work confidently with distributed data processing at scale.
Apply cloud data warehouses and lakehouses.
Structure work around streaming pipelines with Kafka.
Build practical fluency in SQL and Spark tuning at scale.
Evidence competence in MLOps on distributed platforms.
Reason clearly about data governance under UK GDPR.
Deliver artefacts using responsible analytics and bias auditing.
Explain and defend a dissertation on a live big-data problem.

Who This Course Is For

Senior practitioners and technical leads formalising their senior-track authority, using MSc in Big Data Analytics as their route into big data analytics, and typically progressing directly through the LSCE ladder.
Consultants and contractors selling senior services in the discipline, in this case big data analytics, with the programme designed to bring newcomers to a working level of practice.
International postgraduates seeking a UK senior-track credential, particularly those bringing prior UK sector or workplace experience to the programme.
Employer-sponsored staff embedding a live workplace problem into the dissertation, preparing specifically for UK big data analytics roles or postgraduate progression inside the UK system.
Doctoral-track applicants using the Master dissertation as a springboard into research, aligned to the big data analytics field, and looking for a UK-recognised qualification to sit alongside portfolio and workplace evidence.

Career Pathways

Senior AI Engineer
Senior Machine Learning Engineer
Senior Data Scientist
Senior Data Analyst
Senior MLOps Engineer
Senior Applied AI Researcher
Senior Computer Vision Engineer

The LSCE careers service maintains a working contact book across London senior technical employers and runs one-to-one senior-track application coaching during the final stage of the Master. Postgraduate graduates progress into senior UK roles, specialist consulting and research-adjacent positions with tailored LSCE careers-service coaching in the final stage. Graduates of the MSc in Big Data Analytics also benefit from continuing access to the LSCE alumni network for job introductions, mentoring and progression coaching after they complete their studies.

Entry Requirements

A UK Bachelor's degree at 2:2 or above, or an international equivalent, in a relevant discipline.
Applicants with five or more years of senior professional experience are considered for admission by portfolio.
IELTS 6.5 overall (no band below 6.0) for non-native English speakers.
Two references, normally academic; senior professional accepted for experience-route applicants.
A one-page personal statement setting out your dissertation or capstone interest.

Why Study at LSCE

LSCE is the specialist computing and engineering division of Harold International College of London. Small tutor-visible cohorts, partnership with BCS, the Institute of Analytics and the Alan Turing Institute, and a central London campus put the AI Safety Institute, the Alan Turing Institute and the London data-science employer network within a short tube ride of every classroom, so exposure to working ai, data science & emerging technologies practice is part of the everyday learning experience rather than a scheduled trip. Curriculum alignment is refreshed each year against the latest professional-body guidance and UK sector expectations.

Every delivery route on-campus, fully online with provisioned lab access, or by distance learning with the same remote provisioning shares the same intake cohort, seminars and named programme tutor. Students also benefit from Harold International College shared library, careers-service industry connections and elective-module access across the wider college programme catalogue subject to availability. The LSCE careers service is on hand from induction to graduation, and continues to support alumni with introductions and progression coaching after they leave the programme.

Apply for MSc in Big Data Analytics

Advance your career with an LSCE postgraduate degree. Click Enrol Now, admissions will respond within one working day with intake dates, dissertation supervision options and scholarship review. Applications are reviewed as they arrive, so early submissions for MSc in Big Data Analytics receive the widest choice of intake dates, mentor pairing and support options. Click Enrol Now