Data Science and Modelling Dissertation - 2023 entry
MODULE TITLE | Data Science and Modelling Dissertation | CREDIT VALUE | 60 |
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MODULE CODE | MTHM603 | MODULE CONVENER | Prof Markus Mueller (Coordinator) |
DURATION: TERM | 1 | 2 | 3 |
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DURATION: WEEKS | 0 | 5 | 12 |
Number of Students Taking Module (anticipated) | 50 |
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This module offers the ideal opportunity to develop a deep understanding of data science approaches to your specialism area. There will be supervision from experts in data science and modelling and from experts in your chosen science and technology area. You will apply your technical and application specific skills and knowledge to undertake original and interdisciplinary research within data science and modelling. The project will require understanding of the setting, a critical review of possible approaches, choice of appropriate methodology, an extended piece of data analysis or modelling work and a clear and concise summary of the background, data, methodology, results and conclusions. You will communicate your findings to your peers and for assessment through a dissertation, presentation and other digital media.
This module aims to give you in-depth experience of applying Data Science and Modelling approaches to real-world problems, preparing you for work in a business/industrial/governmental/NGO setting or for further post-graduate study/research. The module aims to build on the knowledge and skills you have acquired in the taught modules of the programme through an investigation of an area of particular interest to you. It aims to give you experience of many aspects of research work, including problem formulation, literature review, planning, tool development, experimentation, analysis, interpretation and presentation of results.
Module Specific Skills and Knowledge: |
|
1 |
Demonstrate knowledge of a research topic of relevance to applied data science and modelling, acquired through a deep and self-motivated exploration of that topic |
2 |
Design and follow systematically the phases of research project development |
3 |
Apply sophisticated and appropriate analysis and development techniques at each stage of a project |
Discipline Specific Skills and Knowledge: |
|
4 |
Show familiarity with the background and context of an application area |
5 |
Apply methods and tools learnt in the context of other fields to the application in question |
6 |
Produce full documentation as appropriate to the system and research |
Personal and Key Transferable/ Employment Skills and Knowledge: |
|
7 |
Conduct independent study, including library and web-based research |
8 |
Plan an extended project, demonstrate independent research, and manage time effectively |
9 |
Present and communicate work to a non-specialist audience |
10 |
Technical and scientific report writing and presentation |
Not applicable.
Scheduled Learning & Teaching Activities | 20 | Guided Independent Study | 580 | Placement / Study Abroad | 0 |
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Category |
Hours of study time |
Description |
Scheduled learning and teaching activities |
20 |
Project supervision |
Guided independent study |
580 |
Individual assessed work |
Form of Assessment |
Size of the assessment e.g. duration/length |
ILOs assessed |
Feedback method |
Two-page project proposal in early stages of project |
2 pages |
All |
Oral |
Draft dissertation |
10+ pages |
All |
Written and/or oral |
Coursework | 100 | Written Exams | 0 | Practical Exams | 0 |
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Form of Assessment
|
% of credit |
Size of the assessment e.g. duration/length |
ILOs assessed |
Feedback method |
Intermediate reporting |
15 |
2,000 words (or equivalent) |
1-4, 7-10 |
Written and oral |
Final presentation |
15 |
15 minutes |
1, 4, 9 |
Written and oral |
Dissertation |
70 |
15,000 words (or equivalent) |
All |
Written |
Original form of assessment |
Form of re-assessment |
ILOs re-assessed |
Time scale for re-assessment |
Intermediate reporting |
Coursework (100%) |
1-4, 7-10 |
To be agreed by consequences of failure meeting |
Final presentation |
Coursework (100%) |
1, 4, 9 |
To be agreed by consequences of failure meeting |
Dissertation |
Coursework (100%) |
All |
To be agreed by consequences of failure meeting |
information that you are expected to consult. Further guidance will be provided by the Module Convener
Basic reading:
- Subject to project topic
Web-based and electronic resources:
- ELE – College to provide hyperlink to appropriate pages
Other resources:
- Subject to project topic
Reading list for this module:
CREDIT VALUE | 60 | ECTS VALUE | 30 |
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PRE-REQUISITE MODULES | None |
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CO-REQUISITE MODULES | None |
NQF LEVEL (FHEQ) | 7 | AVAILABLE AS DISTANCE LEARNING | No |
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ORIGIN DATE | Monday 14th December 2020 | LAST REVISION DATE | Monday 5th June 2023 |
KEY WORDS SEARCH | Research, Literature Review, Data Collection, Data Analysis, Modelling, Simulation |
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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.