Skip to main content

Unit information: Data Science Project in 2020/21

Unit name Data Science Project
Unit code EMATM0047
Credit points 60
Level of study M/7
Teaching block(s) Academic Year (weeks 1 - 52)
Unit director Professor. Dave Cliff
Open unit status Not open
Pre-requisites

Software Development: Programming and Algorithms (TB1)

Large-Scale Data Engineering (TB1)

Technology, Innovation, Business, and Society (TB1)

Data Science Mini Project (TB2)

EMATM0044 (TB2)

Visual Analytics (TB2)

Text Analytics (TB2)

Co-requisites

none

School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description

This unit requires each student to complete a substantial project, conducted on a research or implementation topic of their choosing from a selection proposed by project supervisors. This unit will provide students with first-hand experience in planning, running, documenting, and presenting a substantial piece of original work in the field of Data Science. The aim of this unit is to give students a substantial opportunity to integrate material from all taught units that they have studied as part of the programme, to demonstrate the breadth and depth of their learning on the MSc.

Intended learning outcomes

Students will be able to

1. Work independently on a data-science related project for which they have clearly defined the objectives and rationale.

2. Identify methodologically appropriate and ethical approaches towards addressing project aims and objectives.

3. Analyse the requirements for a data science application to address a problem and apply domain knowledge to create a suitable solution.

4. Critically evaluate and effectively communicate their findings in terms of their motivation,

methodology, results and in relation to existing work (both in written, visual, and oral forms).

Teaching details

The supervision of every MSc project is carried out by a qualified member of academic staff, sometimes

with the assistance of a postdoctoral research associate, doctoral student, or external industrial

advisor/supervisor. All students are expected to meet regularly (at least fortnightly) with their supervisor

(and any co-supervisors) throughout the duration of this unit.

Assessment Details

Project plan and initial literature review (10%) (ILO 1, 2)

Dissertation (70%) (ILO 1, 2, 3, 4)

Oral presentation/demonstration (20%) (ILO 4)

Reading and References

As required by the project.

Feedback