2022/23 Taught Postgraduate Module Catalogue
MATH5872M Dissertation in Data Science and Analytics
60 creditsClass Size: 135
Module manager: Luisa Cutillo
Taught: 1 Jun to 30 Sep View Timetable
Year running 2022/23
This module is not approved as an Elective
Module summaryThis module will prepare students for project work in data science. This module brings together all the skills and knowledge that the students have gained in the MSc Data Science and Analytics taught programme. Students will develop independent working skills and communication skills through working on a project and presenting the results.
ObjectivesOn completion of this module, students should be able to:
a) complete with guidance the planning, execution and maintenance of a data science project;
b) effectively present the outputs of their project in the appropriate context.
- Investigate and understand a data science problem;
- Mathematical type-setting;
- Writing techniques;
Each student will be supported through a suitable project in data science. The title and objectives of the project will be approved by the Module Leader. As far as possible, the projects will reflect the particular interests of individual students. Projects in different topics as well as different styles will be available to meet students’ interests.
|Delivery type||Number||Length hours||Student hours|
|Private study hours||594.00|
|Total Contact hours||6.00|
|Total hours (100hr per 10 credits)||600.00|
Private studyReading relevant background material, writing outputs that effectively demonstrate understanding of the project elements, and performing computations and analyses as required with support.
Opportunities for Formative FeedbackMonitoring by regular project meetings.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Report||Students should prepare a report on their findings. This may be accompanied by additional outputs as required by the project brief e.g. posters, slide decks, programmes. In addition, most projects will include a presentational element associated with one of the outputs.||100.00|
|Total percentage (Assessment Coursework)||100.00|
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading listThe reading list is available from the Library website
Last updated: 09/05/2022 09:13:05
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