Brunel University Uxbridge

20 Programs 3 Degree levels
Masters

MSc Data Science and Analytics

DegreeMasters
FieldData Science

A fully online master's that teaches practical data engineering, statistical modelling, machine learning and visualisation using industry tools. Suited to graduates or experienced professionals seeking technical roles that turn large and complex datasets into operational insight across sectors such as finance, healthcare, retail and government.

Programme overview

This 100% online MSc runs with intakes in January, May and September and can be completed full‑time in one year or part‑time over two years. Learning is delivered through Brunel’s virtual learning environment with asynchronous video lectures, discussion forums and scheduled tutor touchpoints. The course emphasises hands‑on use of technologies such as Hadoop, Spark, Tableau, Python, R and SAS, and combines practical training with academic theory to cover the full data science pipeline from data processing to strategic application.

What you'll study

The programme comprises eight core modules plus a dissertation. Core topics are:

  • Quantitative Data Analysis
  • Modern Data
  • Data Visualisation
  • Research Project Management
  • Ethics and Governance of Digital Systems
  • Machine Learning
  • High Performance Computational Infrastructures
  • Digital Innovation and Strategy
  • Dissertation (independent research project)

Assessment mixes coursework and examinations delivered online; tasks include written reports, data modelling, machine learning projects, statistical analyses and in‑class tests depending on the module.

Entry requirements

Applicants normally require a UK 2:2 honours degree or international equivalent. Candidates without a bachelor’s degree may be considered if they have at least five years’ relevant work experience plus university studies equivalent to UK NQF Level 4 or higher; applications are reviewed case‑by‑case. English language minima are IELTS 6.5 (min 6.0 each band), Pearson PTE 59 (min 59 each), TOEFL 90 (min 20 each) or BrunELT 63% (min 58% each). Senior secondary school certificates from recognised systems are also considered.

Career prospects

The curriculum prepares graduates for roles that build and apply data models, present actionable insight and design analytics systems. Typical positions include data scientist, analytics consultant, business analyst, clinical data scientist, quantitative analyst and enterprise architect. Brunel cites employer connections and alumni working with organisations such as Accenture, AstraZeneca, AXA Insurance, British Airways, PayPal, Experian, Capgemini, FICO, GE Healthcare and HSBC.

Scholarships & funding angle (general)

The programme fee for the full MSc is stated as £11,520 and covers teaching, materials and online resources. Brunel offers a six‑month payment plan and a range of discounts that may apply, including early payment, alumni, family and academic excellence reductions (eligible discounts can be combined). UK students may also check eligibility for a Postgraduate Master’s Loan from Student Finance England.

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Programme details are indicative and may change — always verify current information with the official university website before applying.