CS5999 Dissertation in Data Science

Academic year

2024 to 2025 Flexible study

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

60

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 11

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Availability restrictions

Any student enrolled on this module cannot be simultaneously enrolled on an existing CS module that is not part of the Online Data Science Programme.

Module Staff

TBC Module coordinator(s): Project Coordinator - Computer Science (project-coord-cs@st-andrews.ac.uk)

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module is an individually supervised MSc project on a topic suitable to the Online Data Science programme in the School of Computer Science. It results in a dissertation of no more than 15,000 words. The dissertation typically comprises one or more of a review of related work, the extension of old or development of new ideas, software design, implementation and testing, analyses and evaluation as appropriate for the programme. Students are required to give a presentation of their work.

Relationship to other modules

Pre-requisites

WITH PERMISSION OF THE MSC ADVISER

Assessment pattern

Coursework = 100%

Learning and teaching methods and delivery

Weekly contact

12 meetings with supervisor over the course of the dissertation

Scheduled learning hours

12

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

600

The number of hours that students are expected to invest in independent study over the period of the module.

Intended learning outcomes

  • Have produced an MSc dissertation of not more than 15,000 words.
  • Have carried out a sustained programme of in-depth study on a specific Data Science topic
  • Have addressed the challenges arising from an MSc project specification.
  • Be able to critically reflect on the execution of a major project from requirements to results.
  • Have created a significant artefact typically related to a full Data Science workflow