Data Science MSci Group Project - 2019 entry
MODULE TITLE | Data Science MSci Group Project | CREDIT VALUE | 30 |
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MODULE CODE | COMM031 | MODULE CONVENER | Unknown |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 12 | 12 | 1 |
Number of Students Taking Module (anticipated) | 30 |
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This module provides an opportunity for you to undertake a data science project for an external “customer.” Customers will be drawn from around the University and also from commercial organisations. Projects will be large enough that you will need to work in teams. The module will therefore give you experience in eliciting the nature of the customer’s problem, working in teams to develop and present solutions, and iterating on the process in response to customer feedback. It will often require consideration of the legal and ethical context.
Pre-requisites: COM2013 Data Science Group Project 2; COM3021 Data Science At Scale
This module aims to give you experience of working on a problem defined by an external customer with a particular business or research need, but with little expertise in data science. It also aims to give you extensive experience of working in a team in a professional way, applying the knowledge and skills developed in other modules together with the research necessary to tackle the customer’s problem. You will have to interpret and negotiate customer requirements, to produce creative and imaginative solutions that meet these requirements, and to listen to and act on customer criticisms of your solutions.
On successful completion of this module, you should be able to:
Module Specific Skills and Knowledge:
1 Capture requirements from an external “customer”;
2 Negotiate and manage expectations with an external “customer” and with other team members;
3 Acquire knowledge of how data is collected, stored and processed in a “customer” domain;
4 Apply practical and analytical skills to a “customer” domain, developing new skills as necessary;
Discipline Specific Skills and Knowledge:
5 Choose and use an appropriate research and development process;
6 Make an evaluation of scientific risk;
7 Work as a member of a research and development team, participating in self-evaluation and peer review;
Personal and Key Transferable / Employment Skills and Knowledge:
8 Understand and apply legal, social and ethical principles;
9 Develop a systematic understanding and knowledge of a new domain;
10 Tackle a significant technical problem.
Student teams will have weekly meetings with their supervisor.
Scheduled Learning & Teaching Activities | 25 | Guided Independent Study | 278 | Placement / Study Abroad | 0 |
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Category | Hours of study time | Description |
Scheduled Learning and Teaching Activities | 2 | Introduction to the challenge |
Scheduled Learning and Teaching Activities | 20 | Weekly project review meetings |
Scheduled Learning and Teaching Activities | 3 | Group project presentations |
Guided Independent Study | 278 | Independent Study |
Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Not Applicable |
Coursework | 90 | Written Exams | 0 | Practical Exams | 10 |
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Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
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Coursework: Project plan, cost/benefit and data needs analyses | 20 | 10 pages | 1-3, 5,6,8 | Written using customised marksheet |
Coursework: Final Report | 70 | 30 pages | All | Written using customised marksheet |
Presentation and Demonstration | 10 | 30 minutes | All | Written using customised marksheet |
Assessment of the final report will include an element of peer assessment, negotiated at the start of the project.
Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
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All Above | Coursework (100%) | All | Completed over summer with a deadline in August |
Referred and deferred assessments will normally be by a single assignment together with a demonstration/viva.
information that you are expected to consult. Further guidance will be provided by the Module Convener
CREDIT VALUE | 30 | ECTS VALUE | 15 |
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PRE-REQUISITE MODULES | COM2013, COM3021 |
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CO-REQUISITE MODULES |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Friday 12th April 2019 | LAST REVISION DATE | Monday 19th August 2019 |
KEY WORDS SEARCH | Group Project; Data Science |
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Please note that all modules are subject to change, please get in touch if you have any questions about this module.