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MODULE TITLE	Work-based Project	CREDIT VALUE	15
MODULE CODE	COMM423DA	MODULE CONVENER	Unknown

DURATION: TERM	1	2	3
DURATION: WEEKS	0	0	12

Number of Students Taking Module (anticipated)	90

DESCRIPTION - summary of the module content

This module will allow you to apply the knowledge learned in other modules in a significant data science project.

A data science project may take years, and not all projects experience a full life cycle, sometimes being abandoned for cost reasons or change of business strategy. The project is designed to demonstrate the application of knowledge and skills as it would in the Data Science occupation. It collates the raw unsynthesised research findings and demonstrates analysis (statistical and scientific), synthesis, evaluation, literature review and produces recommendations for the business to consider. The report is a significant and complex project in itself and thoroughly tests both higher and lower order knowledge and skills.

The project report must be based on a real research project carried out in the employer’s workplace as part of the apprentice’s day to day activities.

The apprenticeship standard and other documentation relating to the Level 7 Research Scientist Apprenticeship can be found here: https://www.instituteforapprenticeships.org/apprenticeship-standards/research-scientist-v1-0.

AIMS - intentions of the module

The module has several aims:

To develop skills in project specification, planning and management
To develop an understanding of appropriate data science tools to apply
To consider the ethical issues associated with collecting, processing and analysing data
To consolidate skills in the implementation of data science techniques
To develop skills in the understanding and visualisation of the outputs of data science techniques
To develop a greater understanding of where data science fits within the organisation
To develop presentation and writing skills

This module contributes to your End Point Assessment (EPA). You must produce a project report during the EPA period, which will be the basis of a presentation to the independent assessor, with questions afterwards. As an apprentice, you will be working on a wide variety of tasks, and will have varied responsibilities throughout the Research Project that you undertake. Your employer must therefore agree the title and scope of your project report with you prior to the EPA gateway. Following the gateway, the End Point Assessment Organisation will confirm that the title and scope is appropriate, or will make an alternative suggestion, within one week of notification of the title.

This module will require the student to demonstrate the Apprenticeship Knowledge, Skills and Behaviours, as set out below and was taught in modules COMM414DA Introduction to Data Science (Professional), COMM415DA Fundamentals of Data Science (Professional), Learning from Data (Professional), Data in Business and Society and COMM417DA Machine Learning (Professional).

Knowledge (K), Skill (S) or Behaviour (B)

K1: Subject specific knowledge: A deep and systemic understanding of a named / recognised scientific subject as found in an industrial setting, such as biology, chemistry or physics, found in the nuclear, food manufacture, pharmacology or energy production sectors, at a level that allows strategic and scientific decision making, while taking account of inter relationships with other relevant business areas / disciplines.

K4: Research methodologies: Methodologies appropriate to the sector and how to formulate and apply a hypothesis. Appropriate application of scientific process. The unpredictability of research projects and the need to adapt and adjust daily planning needs to accommodate new developments.

K5: Data analysis and evaluation: Statistical analysis techniques, numerical modelling techniques and how they are applied in context. How to interpret and categorise data to make informed and objective decisions against the goals and targets of the project. How to evaluate and interpret the data and associated analysis against company objectives.

K6: Data management: How to safely store and handle data in line with national and international data protection and cyber security regulations that apply to the role. How to manage and store data in line with employer processes and security approach. How to create an appropriate data management plan.

S1: Scientific Knowledge: Apply a range of advanced, new and emerging practical and experimental skills appropriate to the role (e.g. chemical synthesis, bio analysis, computational modeling).

S2: Data Collection and Reporting: Capture and evaluate data critically drawing a logical conclusion, e.g. Case Report Forms, Data Management Plans, Data Review Plans, edit checks and User Acceptance Testing Plans.

S4: Communication Skills: Write extended reports and critique others' work across a range of documentation, e.g. protocols, consent forms and scientific reports. Deliver oral presentations and answer questions about their work and/or the work of their team. Utilise interpersonal skills, communication and assertiveness to persuade, motivate and influence. Discuss work constructively and objectively with colleagues, customers and others; respond respectfully to and acknowledge the value of alternate views and hypothesis.

S7: Research and dissemination: Frame research questions and methodology drawing from current sources e.g., literature and databases. They can produce intellectual insight and innovations in their own discipline to be shared with colleagues, peers and wider stakeholders internal and external to the business.

B6: Planning, Prioritisation and Organisation: Effective time management.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

Module Specific Skills and Knowledge

1 Use and explain research methodologies and scientific processes appropriate to your sector and applies these to form a hypothesis (K4)

2 Explain any unpredictability of the research project undertaken and any adaptations made as a result of new developments (K4)

3 Use statistical analysis and numerical modelling techniques and explain how they were applied. (K5)

4 Explain the application of this analysis clearly and coherently, including how data interpretation informed decisions against the goals and targets of the project and company objectives. (K5)

5 Explain how they have handled data in the project in-line with GDPR and the employer’s processes, including how to create a data management plan (K6)

Discipline Specific Skills and Knowledge

6 Make strategic and scientific decisions based on a deep and systemic understanding of data science and demonstrate the use of a range of advanced, new and emerging practical and experimental skills to support these decisions. (K1 & S1)

7 Capture, analyse and critically evaluate data utilising at least one statistical tool or analytical technique to draw logical conclusions. (S2)

8 Use research methodology based on current sources and present intellectual insight and innovations suitable for internal and external stakeholders.(S7)

Personal and Key Transferable / Employment Skills and Knowledge

9 Structure a project report clearly and includes critique of others' work across a range of documentation.(S4)

10 Explain how best to present and communicate key content and messages, whilst respecting and acknowledging the value of alternative views (S4)

11 Present the research project plan and explain how deadlines were achieved and how the project fits into business objectives. (B6)

SYLLABUS PLAN - summary of the structure and academic content of the module

Activities related to this module will include:

Introduction to the module
Identification of suitable projects from within the student’s organisation or based on previous taught content
Creation of a proper project proposal for the End Point Assessment Organisation
Live project and report writing

This will lead directly to the live End Point Assessment

LEARNING AND TEACHING

LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)

Scheduled Learning & Teaching Activities	14.00	Guided Independent Study	136.00	Placement / Study Abroad	0.00

DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

Category	Hours of study time	Description
Scheduled Learning Teaching Activities	14
Guided Independent Learning	136	Project work

ASSESSMENT

FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade

Form of Assessment	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
written approval by module convenor of the PP2 proposal, or of any replacement, should the original proposal no longer be appropriate	1	All	Oral

SUMMATIVE ASSESSMENT (% of credit)

Coursework	100	Written Exams	0	Practical Exams	0

DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment	% of Credit	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Report and associated presentation	100	4000 word report and 15 minute presentation	All	Written

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)

Original Form of Assessment	Form of Re-assessment	ILOs Re-assessed	Time Scale for Re-assessment
Report and associated presentation (4000 words, 15 minutes) (100%)	Report and associated presentation (4000 words, 15 minutes) (100%)	All	Referral/Deferral period

RE-ASSESSMENT NOTES

Re-assessment will be conducted on a single presentation and final report.

Deferral – if you miss an assessment for certificated reasons judged acceptable by the Mitigation Committee, you will normally be either deferred in the assessment or an extension may be granted. The mark given for a re-assessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.

Referral – if you have failed the module overall (i.e. a final overall module mark of less than 50%) you will be required to re-take some or all parts of the assessment, as decided by the Module Convenor. The final mark given for a module where re-assessment was taken as a result of referral will be capped at 50%.

RESOURCES

INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE	15	ECTS VALUE	15

PRE-REQUISITE MODULES	COMM414DA, COMM415DA, COMM416DA, COMM412DA
CO-REQUISITE MODULES

NQF LEVEL (FHEQ)	7	AVAILABLE AS DISTANCE LEARNING	No
ORIGIN DATE	Monday 11 October 2021	LAST REVISION DATE	Wednesday 13 March 2024

KEY WORDS SEARCH	None Defined

COMM423DA - Work-based Project (2023)