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Data Science at Edinburgh Napier University - UCAS

Course options

Course summary

Data Science is a new and rapidly expanding discipline that uses scientific approaches, business understanding, data and artificial intelligence to extract knowledge and understanding from the vast quantities of data sources that exist. Data scientists work with data, including datasets relating to climate change, health and social media to enhance insight, to innovate and to enable data driven decision-making. This course aims to teach you the theory and practical elements of data science: manipulating and analysing big data sets to draw meaning and understanding that affect our everyday lives. From vast unstructured data to data organised as a warehouse, data is considered of strategic importance to governments, global organisations, health service providers, financial organisations, sporting organisations, educational institutions, the charity and voluntary sector and businesses in general. Furthermore, career opportunities in the field of data are expanding, companies are looking at ways to develop technology through machine learning and data-driven analytics and require fresh talent to deliver ground-breaking results. The advantages of learning data science from undergraduate level is that you can master the fundamentals and gain that reward in the job market. You will study a wide range of modules including data management, coding, statistical methods, data analytics, machine learning, artificial intelligence, data visualisation and data engineering. Specialist courses are taught by expert staff who actively research applications of data science and you have an opportunity to undertake a data science research project in a topic that interests you. Please visit our website for full course and module details.


How to apply

Application codes

Course code:
G445
Institution code:
E59
Campus name:
Merchiston Campus
Campus code:
M

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2
  • Year 3

Entry requirements

Standard Qualification Requirements

Minimum Year 2 Entry Requirements HNC – Pass HNC with A in the graded unit in Computing, Computer Games Development, Software Development, Data Science AND Higher Maths at Grade B for year 2 entry Minimum Year 3 Entry Requirements HND – Pass HND Data Science with B in the graded unit and Higher Maths at grade B (or equivalent units – Calculus and Matrices) for year 3 entry.

Minimum Qualification Requirements


English language requirements

TestGradeAdditional details
IELTS (Academic)6IELTS 6.0 overall with no component below 5.5.

Student Outcomes

Operated by the Office for Students
77%
Employment after 15 months (Most common jobs)
93%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

Channel Islands £9250 Year 1
Scotland £1820 Year 1
England £9250 Year 1
Northern Ireland £9250 Year 1
Wales £9250 Year 1
Republic of Ireland £9250 Year 1
EU £17520 Year 1
International £17520 Year 1

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

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science at Edinburgh Napier University - UCAS