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The MSc Data Science at King’s College London offers a rigorous, practice-focused curriculum that equips students with advanced skills in data collection, management, and analytics.
Students build foundational knowledge in statistical methods, machine learning, and data management in the first term, followed by advanced specializations in Big Data Technologies and Data Visualisation in the second term.
King’s College London is ranked 6th in the UK for Computer Science globally in the QS World University Rankings 2024 and is renowned for strong graduate employability.
Core Focus Areas: Statistical Methods, Machine Learning, Data Management, Big Data Technologies, Data Visualisation
Course Overview:
Individual Project
Computer Programming for Data Scientists or Big Data Technologies
Databases, Data Warehousing & Information Retrieval
Data Mining
Optional Modules:
Elements of Statistical Learning
Statistics in Finance
Agents & Multi-Agent Systems
Nature-inspired Learning Algorithms
Pattern Recognition, Neural Networks & Deep Learning
Network Data Analysis
Big Data Technologies
Introduction to Data Visualisation
Computer Vision
Telling Stories with Data
Machine Learning
Optimisation Methods
Group Projects: Collaborative, real-world data science projects simulating industry challenges
Dissertation: Individual research project supervised by academic or industry mentors
Facilities: Access to advanced computing labs, big data platforms, Python, R, and the Centre for Urban Science and Progress (CUSP) London
Industry Engagement: Industry-driven projects, employer visits, and collaboration with London tech companies
Workshops: Career-focused events, skill-building sessions, and networking opportunities provided through the dedicated Careers Service and Informatics student workshops
Graduate employment: Excellent prospects in IT, public sector, and research roles supported by King’s industry links and London location
University reputation: King’s global standing adds long-term value to the degree
Further study: Students can pursue PhD research in Data Science, AI, or related fields
Advanced degrees: MSc programs in Machine Learning, Urban Analytics, or Computational Statistics
Standard Entry Requirement: A minimum high 2:1 undergraduate Bachelor’s (honours) degree with a final mark of at least 65% or above. If you have a lower degree classification, or a degree in an unrelated subject, your application may be considered if you can demonstrate significant relevant work experience, or offer a related graduate qualification (such as a Masters or PGDip).Programme Specific Requirement: A 2:1 honours degree (minimum 65% or international equivalent) in Computer Science or a related quantitative field is required, with strong mathematics and first-year level programming skills.IELTS Academic/ Online: 7.0 overall with a minimum of 6.5 in each skillTOEFL iBT Institution code 0394 OR TOEFL iBT Home Edition OR TOEFL iBT Paper Edition: 100 overall with a minimum of 25 in writing and 23 in each of the other skills. All TOEFL test results must be provided via King’s Apply. TOEFL Paper-delivered Test is not acceptedPart time studies not availableData ScientistMachine Learning EngineerData AnalystBusiness Intelligence AnalystQuantitative ResearcherData EngineerAI SpecialistResearch ScientistAnalytics ConsultantBig Data Architect
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Kings College London
