- UCAS code
- 4 years
- Delivery type
Introducing a brand new undergraduate programme for 2020/21. This is our first cross-school programme and is taught by academics from our mathematics, actuarial and computing departments.
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Data science is the core of the modern data analytics and engineering revolution, turning data into intelligence and information for decision-making and for solving complex, multi-faceted problems. It is a young discipline, and demand for expertise in all aspects of data science is growing very quickly. Because of this strong global demand, the role of data scientist is frequently ranked as the most promising career and consistently tops the best jobs rankings, with professionals in the field reporting high demand, high salaries and high job satisfaction.
The BSc in Data Sciences programme is based on a strong mathematical and statistical foundation and emphasises large-scale data computation using the most relevant and up-to-date programming languages. Depending on their interests, graduates may find employment in the areas of business, finance, government, science, transportation, forensics, energy, the environment or academic research.
The first three years of the programme are designed to provide the necessary core skills and knowledge in mathematics, computer sciences, probability, statistics, machine-learning and artificial intelligence. The fourth year offers the option to focus on advanced machine-learning, statistical algorithms and applications, data engineering, mathematical aspects of data structures or applications to artificial intelligence.
You can take advantage of our international campuses by taking part in an Inter-Campus Transfer. This gives you the opportunity to study Computer Science at our Dubai campus for a semester or a year.
90% of our 2018 graduates reported in the National Student Survey that staff are good at explaining things.
Links with industry
We have very strong links with the computing industry, with representatives of more than 30 companies attending our industrial advisory board. Much of our research is in collaboration with leading computing enterprises and students really value our research-led teaching by our enthusiastic staff.
Student equipment fund
Our Student equipment fund is an initiative to support students in buying technology (either in hardware, data or software) to explore the usage of – and code development for – new platforms, as part of a taught course or as a personal project. Recent purchases include Parrot AR.Drone 2.0s, Oculus Rifts and Raspberry Pi 2s.
This course is currently only delivered at our Edinburgh Campus and there are no current opportunities to study at exchange partner institutions.
However, other Go Global opportunities may be available. Please contact firstname.lastname@example.org for more information.