Programme/Approved Electives for 2024/25
None
Available as a Free Standing Elective
No
CSC-10058 Introduction to Data Science ICSC-10060 Introduction to Data Science II
Aims
This module aims to explore how organisations can use data analytics and how this relates to the information needs of different stakeholders. It will also cover different data visualisation techniques and explore evaluation and application of the most appropriate visualisations for a given situation, explaining the benefits and limitations.
Intended Learning Outcomes
Compare contemporary uses and theoretical concepts from the academic literature in big data and their impact on areas such as business intelligence: 1Apply data analytics and produce appropriate visualisations and reports for a given authentic case study to enable analysis and decision making in either a business or academic research context: 1
20 hours (approx) supported practical activities.10 hours of online lectures with associated guided reading.Independent Learning 120 hours.
Description of Module Assessment
1: Coursework weighted 100%CourseworkStudents are provided with a set of raw data and must then evaluate appropriate data analytics and visualisation techniques which they then use to produce a set of visualisations that enable conclusions to be drawn by a manager/researcher. Students will produce a short report for a particular audience, containing justifications for the approach that they have taken a set of visualisations and related code and development documentation. The report should be the equivalent of 3,000 words.