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The MSc Data Analytics at the University of Warwick is a technically rigorous, interdisciplinary program designed for graduates with strong quantitative skills in computer science, mathematics, statistics, physics, or related fields.
Delivered by the Department of Computer Science, the course blends computer science, business, engineering, and mathematics to provide a comprehensive foundation in data analytics, including key areas such as data mining, high-performance computing, algorithmic game theory, and natural language processing.
Ranking:
Course Overview:
Core:
Dissertation Project in Data Analytics
Research Methods
Foundations of Computing
Data Mining
Foundations of Data Analytics
Optional:
High Performance Computing
Algorithmic Game Theory
Image and Video Analysis
Agent Based Systems
Sensor Networks and Mobile Data Communications
Advanced Computer Security
Social Informatics
Natural Language Processing
Teaching: Delivered through lectures, seminars, group projects, and practical lab sessions.
Assessment: Assessed via written exams, coursework, presentations, and a dissertation project.
Practical projects in data mining, high-performance computing, and image analysis.
Collaborative group work and seminars focused on real-world problem solving.
Dissertation project in data analytics, offering the opportunity to apply skills to a research or industry-based topic.
Access to Warwick’s dedicated career consultant, workshops, and events supporting direct engagement with employers.
Graduates have secured roles at major organizations such as BAE Systems, Barclays, Dell EMC, Huawei, JPMorgan, KPMG, PlayStation, and UBS.
Excellent pathway to PhD study in data analytics, computer science, or interdisciplinary quantitative fields.
Career support includes targeted workshops, employer-led sessions, and networking opportunities.
Strong technical and research-focused program with a distinctive interdisciplinary approach.
IELTS: Overall score of 6.5, minimum component scores not below 6.0.TOEFL: 92, comprising Reading 22, Listening 21, Speaking 23, Writing 21Entry Requirement: First Class Honours degree or a high 2:1 undergraduate degree. The degree must be in Computer Science, Mathematics, Statistics, Physics, or another relevant quantitatively focused degree.Scholarships availableYour 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 ScientistData AnalystIT Business AnalystSystems DesignerSoftware DeveloperManagement Consultant
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University of Warwick
