Module manager: Dr Jennifer Sexton
Email: J.L.Sexton@leeds.ac.uk
Taught: Semester 1 Jan to 28 Feb, 1 Jan to 28 Feb (adv year) View Timetable
Year running 2024/25
Students are required to meet the programme entry requirements prior to studying the module.
This module is not approved as an Elective
This module develops the skills necessary to be a successful data scientist that can deliver projects to a professional standard, as would be expected by an employer or client.
The objective of the module is to equip students with the skills necessary to undertake project work as a data scientist. Project planning, reviewing existing methodologies and the presentation of outputs in different forms all form part of this. This module will also include ethical considerations of data usage.
On completion of this module students will be able to:
1. Communicate the key concepts, skills and attitudes for developing a proposal to deliver data science project work.
2. Explain how to critically appraise different methodological choices when planning project work in data science.
3. Understand how to present data science projects effectively in both oral and written formats, including communicating effectively with a non-technical audience.
4. Engage with professional ethics for working in data science.
- Project planning and independent learning
- Communication skills
- Self-reflection
- Evaluating and selecting sources
Indicative content for this module includes:
1. Developing a project proposal.
2. Searching the literature.
3. Critical appraisal skills.
4. Professional ethics in data science.
5. Continuing professional development.
6. Presenting project work effectively in oral and written formats.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| On-line Learning | 1 | 1.5 | 1.5 |
| On-line Learning | 5 | 1 | 5 |
| Discussion forum | 6 | 2 | 12 |
| Independent online learning hours | 42 | ||
| Private study hours | 89.5 | ||
| Total Contact hours | 18.5 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Students will have weekly formative assignments for each taught unit of the module.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Reflective log | Students will be required to produce a short reflective log (300 words) reflecting on what they have learned about project planning and how they plan to put this in to practice when working as a data scientist. | 20 |
| Assignment | The assignment will require students to complete a reflective assignment (1500 words) which critically reflects on the skills they have learned during the module and how they will use them in practice when working as a data scientist. It is expected that the assignment will be completed in one week. | 80 |
| Total percentage (Assessment Coursework) | 100 | |
Students can resit the assessments at the next running of the module.
There is no reading list for this module
Last updated: 8/7/2024
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