Entry requirements

A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a recognised UK university or a non-UK qualification of an equivalent standard in a relevant discipline typically in the fields of mathematics or computer science. Students should be comfotable with a high level of programming in a language such as Python.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Good.

Further information can be found on our English language requirements page.

Months of entry

September

Course content

The Programme is built around a combination of Data Science programmes offered separately by both UCL and UniSA. Modules delivered by UCL for the Programme focus on theory, whilst the UniSA modules are comparatively more practical. Students benefit from the combination of theoretical and applied data science, with practical training and a final real-world project undertaken at UniSA.

Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the concept of \'Big Data\', and to a new career - \'data scientist\'.

Data science brings together the best of data management and analytic methods, and the presentation of results - all in a closed loop cycle for continuous learning and improvement within the organisation.

This rapidly expanding area has applications in search and information retrieval, e-commerce, finance, health, natural language modelling and artificial intelligence.

UniSA and UCL - under a new agreement - are working together to advance IT excellence globally through joint education to deliver innovative outcomes for industry and graduates.

The partnership brings UCL\'s world-leading research to Australia and interconnects with UniSA\'s interdisciplinary and real-world experience approach.

UCL is one of the world\'s leading multidisciplinary universities. It operates in a global context and is committed to excellence, innovation and the promotion of global understanding in all its activities: research, teaching, learning, enterprise and community engagement.

UCL has been ranked as the number one UK university for research strength and is ranked 10th in the QS World University Rankings 2018.

Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. Offered in a dual-hemisphere mode this unique programme gives you the opportunity to study in both the UK and in Australia whist providing different perspectives and expertise in data science.

Fees and funding

Please see UCL website for full information about fees and costs for this programme.

Qualification and course duration

MSc

full time
24 months

Course contact details

Phone
+44 (0)20 3370 1214