2019/20 Taught Postgraduate Module Catalogue
MATH5872M Dissertation in Data Science and Analytics
60 creditsClass Size: 120
Module manager: Professor Charles Taylor
Taught: 1 Jun to 30 Sep View Timetable
Year running 2019/20
This module is not approved as an Elective
Module summaryThis module will prepare students for data science project assignment and dissertation writing. 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 research project and presenting the results.
ObjectivesOn completion of this module, students should be able to:
a) be taught through research experience the planning, execution and maintenance of a data science project;
b) present their project as a dissertation, which will also be presented as a poster and defended orally.
- Literature search;
- Mathematical type-setting;
- Writing techniques;
Each student will discuss with an individual supervisor a suitable research project in data science. The title and objectives of the project will be approved by the Programme Manager. As far as possible, the projects will reflect the particular interests of individual students.
|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 books and journal articles, writing mathematics, and performing computations and analyses as required by the research under the guidance of the supervisor.
Opportunities for Formative FeedbackMonitoring by regular supervision meeting.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Essay||Poster presented and examined, including oral Q/A during the poster presentation. As a guide, the final dissertation should contain 60-80 pages of text (not including the title pages, etc., and the bibliography)||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: 30/04/2019
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- Undergraduate module catalogue
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