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Unit information: Data Science Mini-Project in 2021/22

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 Mr. Forsyth
Open unit status Not open

EMATM0048 Software Development: Programming and Algorithms or EMATM0061 Statistical Computing and Empirical Methods;

EMATM0051 Large-Scale Data Engineering;

EMATM0049 Technology, Innovation, Business, and Society.



School/department Department of Engineering Mathematics
Faculty Faculty of Engineering

Description including Unit Aims

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.

Intended Learning Outcomes

On successful completion of the unit, students will be able to:

  1. Demonstrate their ability for teamwork in developing a data science application or exploration in collaboration with client or end-user, preferably while following a recognised software-development project management method (e.g., Scrum).
  2. Communicate effectively within the team and with external stakeholders.
  3. Deliver a workable proof-of-concept system (code, scripts, data, analytics, and a written report) that addresses the needs of the client/end-user.
  4. Succinctly and coherently document their design decisions, clearly explaining their reasons for choosing specific tools, services, production environments, testing regimes, and monitoring metrics.
  5. Use online repositories such as GitHub and associated tools, for version control and collaborative working.

Teaching Information

Delivery will primarily be through project supervision coupled with a small number of technical lab classes for some practical elements.

Assessment Information

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.

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.