Queen Mary University of London

Course Introduction

The Big Data science movement is transforming how Internet companies and researchers over the world address traditional problems. 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.

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 programme is offered by academics from the Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science research groups from the School of Electronic Engineering and Computer Science. This is a team of more than 100 researchers (academics, post-docs, research fellows and PhD students), performing world leading research in the fields of Intelligent Sensing, Network Analytics, Big Data Processing platforms, Machine Learning for Multimedia Pattern Recognition, Social Network Analysis, and Multimedia Indexing.

Start Date:

EXPECTED SEP-2019. EXPECTED SEP-2019.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £10,350 Home Fees
1 year
Full Time
MSc £10,350 European Fees
1 year
Full Time
MSc £21,250 Overseas Fees
2 years
Part Time
MSc £5,175 Home Fees
2 years
Part Time
MSc £5,175 European Fees
2 years
Part Time
MSc £10,625 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need to have 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. 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