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The MSc Big Data Technologies at the University of Westminster offers a BCS-accredited curriculum that prepares students to manage and extract insights from large-scale data systems using advanced tools and real-world applications.
Delivered at the centrally located Cavendish Campus in London, the program blends theoretical foundations with hands-on practice using industry-relevant technologies such as Hadoop, Python, and SQL. Designed for students from IT, computing, and related disciplines, the course supports professional recognition as a Chartered IT Professional or Chartered Engineer.
Teaching Methods: Lectures, seminars, hands-on labs, group work, and practitioner-led sessions with emphasis on team-based learning, technical development, and communication
Assessment: Practical coursework, technical reports, software solutions, presentations, and a major individual project
Course overview:
Core Modules:
Big Data Theory and Practice
Data Repositories Principles and Tools
Data Warehousing and Business Intelligence
MSc Project
Data Mining and Machine Learning
Optional Modules:
Data Visualisation and Dashboarding
Web and Social Media Analytics
Cyber Security Threats and Countermeasures
Business Analytics
Hands-On Practice: Practical coursework using real data, simulation of big data architecture, and solution development using SQL, Python, NoSQL
Industry-Connected Learning: Curriculum shaped by experienced practitioners and business experts with strong ties to industry
Real-World Projects: Group investigations, technical builds, and final-year individual project on a contemporary big data challenge
Professional Development: Focus on teamwork, communication, ethics, and enterprise-readiness through seminars and applied assessments
In-Demand Roles: Trained for positions in high-demand areas such as data engineering, business intelligence, and analytics consultancy
Graduate Employers: Bank of England, Oracle, Capgemini, Cloudera, Deutsche Bank, FCA
Career Support: Access to a global employer network, career mentoring, mock interviews, and career planning workshops via Zone29
Further Study & Certification: Prepares students for doctoral-level research or professional qualifications including BCS Chartered IT Professional status
Part time studies availableEntry Requirements: A minimum of a lower second class honours degree (2:2) in IT or computing discipline, or in another discipline that either provides important underpinning for or insight into IT and computing, or it is closely related to it (e.g. sciences or engineering, business studies). If you do not have the required formal qualifications, you may be considered if you are already in employment and your role involves the use or support of the data modelling techniques and technologies covered in the course. IELTS: 6.5 with at least 6.5 in writing and no element below 6.0Applicants are required to submit one academic reference.This course has been accredited by BCSScholarships availableTOEFL: 88 overall with a minimum of 17 in Listening, 21 in Writing, 18 in Reading and 20 in Speaking.Your personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data ScientistBig Data EngineerBusiness Intelligence AnalystData AnalystAI ConsultantETL DeveloperOLAP ProgrammerCredit Risk EngineerData Governance OfficerDatabase Developer
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University of Westminster
