This is an exciting, interdisciplinary programme that will give you broad foundations in Data Sciences. It involves all three main specialism of Heriot-Watt School of Mathematical and Computer Sciences, namely Mathematics, Statistics and Computer Science. Data Sciences are at 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, in a rigorous and defensible way. It is a young discipline, and demand for expertise in all aspects of data sciences is growing very quickly, as the availability of data sets, and the need to interpret and use them, increases. Data Scientists are now in great demand in a wide variety of sectors that deal with the collection, analysis, interpretation, structuring and presentation of increasing large and rich data sets. Financial transaction, medical data, energy users, environmental samples are a few examples of large data sets now widely available. Because of this strong global demand, Data Scientist is frequently ranked as the no. 1 most promising job and consistently tops the best jobs rankings, with professionals in the field reporting high demand, high salaries, and high job satisfaction. Because 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, graduates would be well placed to seek employment in any areas that require specific mathematical and computational abilities or could specialise further by pursuing postgraduate studies at the Master or PhD level. 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 3 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. This is one of the first BSc programme of its kind in the UK, truly interdisciplinary as well as truly global. The programme is offered in Edinburgh bur also Dubai and Malaysia, thus offering the widest possible options for studying abroad within the GoGlobal programme. Level 1 Calculus (A and B), Software development (1 and 2), Discrete Mathematics, Introduction to Statistical Science, Praxis, plus one of Introduction to university Maths or Logic and Proof. Level 2 Calculus and Real Analysis, Linear Algebra, Probability and Statistics (A and B), Data structures and algorithms, Database management systems, Software development 3 and Numerical Analysis A Level 3 Statistical machine learning, Artificial intelligence and intelligent agents, Software engineering, advanced statistical methods, Bayesian inference and computational methods, Group project plus two of Ordinary differential equations, numerical analysis B, data visualisation analytics or statistical models B Level 4 Optimisation, Data engineering pipelines, Big data management, advanced machine learning, plus a year-long dissertation and two optional courses from a pool of twelve courses in numerical analysis, stochastic processes, natural language processing with machine learning, data visualisation, advanced statistical and financial mathematics options, or mathematical biology.

Modules are not listed for this Course.

Assessment Methods are not listed for this Course.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G3DS

Institution code: H24

Campus Name: Edinburgh Campus

Campus code:

The following entry points are available for this course:

Year 1

Year 2

Entry Requirements for Advanced Entry are not listed for this Course.

Unfortunately, there are no HNDs which sufficiently cover the content we teach in Years 1-2 to allow Year 3 entry. We operate contextual admissions defined by our Fair Access Policy which may mean entry requirements are flexible. We accept a wide range of other qualifications from the UK, Europe and International countries. Please contact the Admissions Officer for the programme for further information on the entry requirements for these.

Please click the following link to find out more about qualification requirements for this course

As part of the Fair Access Process, the minimum entry requirements enable students who are within one or more of the categories below to be guaranteed an offer: Living in an area within the Scottish Index of Multiple Deprivation lowest 20% (SIMD20) Care Experienced, as identified on the UCAS Application form by ticking the relevant box.

Please click the following link to find out more about qualification requirements for this course

Test	Grade	AdditionalDetails

Applicants whose native language is not English and who have not been educated previously in the English language must provide evidence of their English language ability to ensure they can cope with the demands of a Heriot-Watt programme taught and assessed in English. Further information about the English Language tests that we currently accept as proof of English Language ability including our own English Language programmes, can be viewed on our website.

HWU English Language Requirements

https://www.hw.ac.uk/study/entry/english-language-requirements.htm

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Republic of Ireland	9250.0	Year 1
England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Wales	9250.0	Year 1
Channel Islands	9250.0	Year 1
Scotland	1820.0	Year 1
EU	20584.0	Year 1
International	20584.0	Year 1

Additional Fee Information are not listed for this Course.

Riccarton
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Edinburgh
EH14 4AS