| 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 | Dr. Joshi |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
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) |
| Units you must take alongside this one (co-requisite units) |
none |
| Units you may not take alongside this one | |
| School/department | School of Engineering Mathematics and Technology |
| Faculty | Faculty of Engineering |
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.
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).
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.
Project plan and initial literature review (10%) (ILO 1, 2)
Dissertation (70%) (ILO 1, 2, 3, 4)
Oral presentation/demonstration (20%) (ILO 4)
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMATM0047).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.
