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2 Years On Campus Masters Program
Royal Holloway University of LondonThe MSc Data Science and Analytics with a Year in Industry at Royal Holloway, University of London is a two-year program that combines advanced academic training in big data and analytics with a year-long industry placement.
The program prepares students to manage, analyze, and store large datasets using cutting-edge tools like Hadoop, Spark, NoSQL databases, and Amazon cloud services.
The course is supported by Royal Holloway’s strong industry ties and proximity to the M4 corridor, known as “England’s Silicon Valley,” offering excellent networking and placement opportunities.
Course Overview:
Year 1: Data Analysis, Large-scale Data Storage and Processing, Ethics in Advanced Computing and Artificial Intelligence, Individual Project
Year 2: Year in Industry, Individual Project
Optional courses: Machine Learning, Methods of Computational Finance, Software Verification, Advanced Data Communications, Digital Audio and Applications, Semantic Web, Internet and Web Technologies
Teaching Methods
Lectures, seminars, practical sessions, and project-based learning
Hands-on experience with MATLAB, R, Hadoop, Spark, Hive, Pig, Amazon S3/EC2, and NoSQL databases
Assessments
Coursework, exams, and a major individual project/dissertation
Assessed work during the industry placement year contributing to final degree classification
Year-long industry placement with leading companies
Practical coursework and projects using real-world datasets and cloud platforms
Individual research project/dissertation, often linked to placement experience
Hands-on training with industry-standard big data and cloud tools
Networking opportunities with top employers along the M4 corridor
Guest lectures and professional development support
Graduates are well-prepared for roles in data science, analytics, cloud computing, and business intelligence, with strong demand across sectors due to the program’s technical breadth and industry proximity
Opportunities to progress to PhD study or advanced research-based roles in data science, AI, or cloud computing
Scholarships availableIELTS: 6.5 overall. No subscore lower than 5.5TOEFL iBT: 88 overall, with Reading 18 Listening 17 Speaking 20 Writing 17Your 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.UK 2:2 Bachelor honours degree or equivalent in Computer Engineering, Computing, Computer Science Engineering, Software Engineering, Maths and Phsyics or other subjects that include a strong element of Maths, Physics, and other Engineering (excluding Civil, Mechanical, Material and Biomedical Engineering).Data ScientistData AnalystMachine Learning EngineerBig Data EngineerBusiness Intelligence AnalystCloud Solutions ArchitectData ArchitectAnalytics ConsultantResearch ScientistAI Specialist
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