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Big Data Science logo
Queen Mary University of London logo

Big Data Science

Queen Mary University of London
Information last verified July 2026
Tuition GBP 17,450 (Tuition (Year)) — International students; GBP 8,700 (Tuition (Year)) — EU/EEA students
Degree MSc
Duration 12 months
Deadline Oct, 2026
Delivery On-campus
Location London, United Kingdom
Language English

Program Overview

The Big Data Science at Queen Mary University of London is a MSc programme in Computer Science & IT over 12 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Big Data Science programme are well-prepared for careers in academia, industry, government, and the private sector across France and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 12 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. English requirement: IELTS 6.5
  5. Tuition: GBP 17,450 (Tuition (Year)) — International students; GBP 8,700 (Tuition (Year)) — EU/EEA students
  6. Location: London, France

Career Opportunities

Graduates of the Big Data Science programme are prepared for diverse careers in computer science & it:

  1. Software Engineer / Developer
  2. Data Scientist
  3. Machine Learning Engineer
  4. IT Project Manager
  5. Cybersecurity Analyst
  6. Cloud Solutions Architect

Program Curriculum

Course Structure

  1. Applied Statistics
  2. Big Data Processing
  3. Data Mining
  4. MSc Project
  5. Cloud Computing
  6. Data Analytics
  7. Digital Media and Social Networks
  8. Deep Learning and Computer Vision
  9. Introduction to the Internet of Things
  10. Introduction to Object-Oriented Programming
  11. Machine Learning
  12. Natural Language Processing
  13. Semi-structured Data and Advanced Data Modelling
  14. Machine Learning for Visual Data Analysis
  15. The Semantic Web

Admission Requirements

Academic Requirements

An upper second class degree is normally required, usually in electronic engineering, computer science, maths or a related discipline. Students with a good lower second class degree may be considered on an individual basis. Applicants with unrelated degrees will be considered if there is evidence of equivalent industrial experience.

English Proficiency: IELTS 6.5 or equivalent.

Tuition & Financial Information

Tuition Fee

GBP 17,450 (Tuition (Year)) — International students; GBP 8,700 (Tuition (Year)) — EU/EEA students

Tuition fees: GBP 17,450 (Tuition (Year)) — International students; GBP 8,700 (Tuition (Year)) — EU/EEA students

IELTS requirement: 6.5

Financial Aid & Scholarships

Contact Queen Mary University of London directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About Queen Mary University of London

Queen Mary University of London logo

Queen Mary University of London

London, United Kingdom

Visit the university profile page to learn more about this institution.

University Profile
  • Application Deadline Oct, 2026
  • Start Date Sep, 2026
  • Language English
  • Duration 12 months