1. Royal Holloway University of London
  2. Program
  3. Masters
  4. MSc Data Science and Analytics

MSc Data Science and Analytics

1 Year On Campus Masters Program

Royal Holloway University of London

Program Overview

The MSc Data Science and Analytics at Royal Holloway, University of London provides advanced practical and theoretical training to analyze and manage large datasets across sectors like healthcare, manufacturing, retail, and administration. The program develops expertise in machine learning, big data analytics, cloud computing, scalable storage, and data governance.

Located near the M4 corridor, known as “England’s Silicon Valley,” the course offers strong industry links, networking opportunities, and the potential for placements. 

Course Overview:

  • Core: Data Analysis, Large-scale Data Storage and Processing, Ethics in Advanced Computing and Artificial Intelligence, Individual Project

  • Optional: Machine Learning, Methods of Computational Finance, Software Verification, Advanced Data Communications, Digital Audio and Applications, Semantic Web, Internet and Web Technologies, Online Machine Learning, and more

Teaching Methods

  • Lectures, seminars, practical sessions, and project-based learning

  • Hands-on experience with industry-standard software (MATLAB, R), big data platforms (Hadoop, Spark, Hive, Pig), NoSQL databases (MongoDB, Cassandra, HBase), and cloud platforms (Amazon S3/EC2, Elastic MapReduce)

Assessments

  • Coursework, exams, and a major individual project/dissertation

  • Assessments emphasize practical application and demonstration of technical proficiency in real-world scenarios

Experiential Learning (Research, Projects, Internships etc.)

  • Practical coursework using real-world datasets and advanced cloud computing platforms (Amazon S3/EC2, Hadoop, Spark, Hive, Pig)

  • Use of industry-standard tools including MATLAB, R, and NoSQL databases (MongoDB, Cassandra, HBase)

  • Individual research project with opportunities for industry collaboration

  • Hands-on projects focusing on big data storage, cloud solutions, and real-time analytics

  • Opportunities for placements and networking with technology companies in the M4 corridor

  • Guest lectures and seminars with industry professionals

  • Career support for data-driven industries and research dissemination opportunities

Progression & Future Opportunities

  • 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

Program Key Stats

£31,100
£ 29
Sept Intake : 14th Jan


Eligibility Criteria


NA
NA
NA
NA
6.5
88
2:2
1200
27

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Big Data Engineer
  • Business Intelligence Analyst
  • Cloud Solutions Architect
  • Data Architect
  • Analytics Consultant
  • Research Scientist
  • AI Specialist

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