Data Science

Entry requirements

A 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.

Months of entry

September

Course content

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 modelling, 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.

You will cover fundamental statistical and analytical concepts (such as machine learning) and technological tools (such as cloud platforms, Spark) for large-scale data analysis. Through your taught modules, you will examine:

• 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.

You will also undertake a large project where you will demonstrate the application of data science skills in a complex scenario.

This degree is accredited by BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. This degree is also accredited by BCS on behalf of the Engineering Council, for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.

Information for international students

Please see: www.qmul.ac.uk/international-students

Fees and funding

Please see: www.qmul.ac.uk/scholarships