| Unit name | Data Science Mini-Project |
|---|---|
| Unit code | EMATM0050 |
| Credit points | 20 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Pope |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
EMATM0048 Software Development: Programming and Algorithms or EMATM0061 Statistical Computing and Empirical Methods; EMATM0051 Large-Scale Data Engineering; EMATM0049 Technology, Innovation, Business, and Society. |
| 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 |
Students will draw on knowledge and skills acquired in other core units of the Data Science MSc programme, working in a small teams to design, implement, test, refine, and finally demonstrate a successful data science application or exploratory/proof-of-concept project.
Whenever possible, the application will be created to meet the needs of an external client, e.g. in an industrial partner, or problem-owners elsewhere in the University.
The primary aim of this unit is integrative: it provides students with a first opportunity to apply ideas and technical skills from all other units studied in the programme, tackling a genuine problem or challenge for which achieving a workable solution in the time available will require efficient division and management of work within each team.
On successful completion of the unit, students will be able to:
Delivery will primarily be through project supervision coupled with a small number of technical lab classes for some practical elements.
This unit is assessed by coursework. The outputs will be a group oral presentation/demonstration (20%; ILO 4) and written report including code as an appendix and/or viewable in an online repository (65%; ILO 1, 2, 3, 4, 5) as well as an individual reflective account of the project experience and teamwork (15%; ILO 1,2).
The assessment criteria will include technical merit, communication of the solution, team contribution, and individual achievement.
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. EMATM0050).
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.
