Course summary
This programme is designed to address the growing demand for highly skilled data scientists and engineers capable of combining advanced computer science techniques with modern statistical methods to extract insights and create data-driven services. We offer world-leading expertise and industry partnerships to equip students with essential skills in statistical data modeling, visualisation, machine learning, and domain-specific applications like computer vision and natural language processing. Programme Highlights:
- Create new business services that are based on insights learnt from data.
- Learn to create automated prediction, recommendation and classification systems.
- Gain advanced mathematical and technical skills including machine learning and deep learning.
- Benefit from our world-leading research as well as our strategic partnerships with leading technological companies.
- Statistical data modelling, data visualisation and prediction.
- Machine learning techniques for cluster detection, and automated classification.
- Techniques for processing massive amounts of data.
- Domain-specific techniques for applying data science, including: computer vision, social media analysis, intelligent sensing and internet of things.
- Case study-based projects that show the practical application of key skills in real industrial and research scenarios.
Modules
Please refer to our website
Assessment method
Please refer to our website
How to apply
International applicants
Please see: www.qmul.ac.uk/international-students
Entry 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 language requirements
All applicants to Queen Mary must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student and will require Tier 4 immigration permission to enter the UK.
Queen Mary University of London: English Language Requirements
http://www.qmul.ac.uk/international/englishlanguagerequirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Please see: www.qmul.ac.uk/scholarships
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS