Queen Mary University of London

Course Introduction

Big Data refers to the ability of exploiting the massive amounts of unstructured data that is generated continuously by companies, users, devices, and extract key understanding from it. A Data Scientist is a highly skilled professional, who is able to combine state of the art computer science techniques for processing massive amounts of data with modern methods of statistical analysis to extract understanding from massive amounts of data and create new services that are based on mining the knowledge behind the data. The job market is currently in shortage of trained professionals with that set of skills, and the demand is expected to increase significantly over the following years.

If you are looking to pursue a career as a data scientist, this programme is designed for you. You will cover the fundamental statistical (e.g. machine learning) and technological tools (e.g. cloud platforms, Hadoop) for large-scale data analysis. The course leverages the world-leading expertise in research at Queen Mary with our strategic partnership with IBM and other leading IT sector companies to offer to students a foundational MSc on the field of Data Science.

You will attend lectures that explain the core concepts, techniques and tools required for large-scale data analysis. Laboratory sessions and tutorials will put these elements to practice through the execution of use cases extracted from real domains. You will also undertake a large project where you will demonstrate the application of Data Science skills in a complex scenario. The industrial placement takes place from the September following the taught part of the MSc and is for a maximum of 12 months. While it is your responsibility to secure a placement, the EECS Placement Team will provide support by assisting with applications and with interview preparation.

Start Date:


Duration & Attendance Qualification Tuition fees Fee type
2 years
MSc £10,350 Home Fees
2 years
MSc £10,350 European Fees
2 years
MSc £21,250 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students should have a good Honours degree (first or upper-second class honours) in electronic engineering, computer science, mathematics, or a related discipline. Students with unrelated degrees will be considered if there is evidence of equivalent industrial experience.
  • International entry requirements: International students require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).
  • IELTS score: 6.5
  • TOEFL score: 92