Course Overview
NCFE Level 4 Diploma: Data Analyst (HTQ)
| Awarding Organisation | NCFE |
| Teaching Institution | London School of Commerce & IT (LSCI) |
| Programme Title | NCFE Level 4 Diploma: Data Analyst |
| Name of the final award | NCFE Level 4 Diploma: Data Analyst |
| Higher Education Qualification Framework | Higher Technical Qualification (HTQ) |
| Level | Level 4 |
| Qualification number | 603/7751/3 |
| Duration of study | 1 year |
| Credit Value | 120 |
| Guided Learning Hours (GLH) | 510 |
| Mode of Study | Full Time (FT) |
| Minimum Age | 18 |
| Intakes | September; January; April |
| Course fees (correct at the time of publication in April 2025) | £6,185 |
About this qualification
This qualification is designed to give learners the knowledge and associated skills and behaviours required to work in a variety of roles in data analysis. It will also prepare learners to progress to further study and apprenticeships in this area.
This qualification is designed for learners who want to upskill or retrain within the digital sector. It is also suitable for learners who want to further their studies in the digital sector. This higher technical qualification (HTQ) will give learners the skills, knowledge and behaviours to meet specific employer needs and industry requirements.
Entry Requirements and Guidance
This qualification is designed for learners who want to begin or advance their career within data analysis. It is also suitable for learners who wish to progress to further study in this specialised area.
There are no specific prior skills/knowledge a learner must have for this qualification. However, learners may find it helpful if they have already achieved a relevant level 3 qualification. This is however to ensure that the learners are able to meet the requirements of the mandatory knowledge, skills and behaviours covered within this qualification.
Learners registered on this qualification should not undertake another qualification at the same level, or with the same/a similar title, as duplication of learning may affect funding eligibility.
Course structure
| NCFE Level 4 Diploma: Data Analyst | Credit value |
| Unit 1 Legislation and Security Standards Applied to Data Analytics | 20 |
| Unit 2 Data Fundamentals and Lifecycle | 20 |
| Unit 3 Data Structure and Databases | 20 |
| Unit 4 Stakeholder engagement and user experience in data analytics | 20 |
| Unit 5 Organisational data | 20 |
| Unit 6 Data mining and statistical analysis | 20 |
How the qualification is assessed?
Assessment is the process of measuring a learner’s skill, knowledge and understanding against the standards set in a qualification. The learners are internally assessed and externally quality assured portfolio of evidence, including task-based controlled assessments.
Method of Assessment
- Data cleansing and security
- Database design and joining
- Insight showcasing and presentation
- Predictive modelling and statistical learning
Resubmission
For the ORSPAs, one resubmission will be allowed for learners who fail a component at the first attempt. In these circumstances, learners can only achieve a pass grade for the relevant components.
Resit
Learners may resit a component that is graded as ‘not yet achieved’. There is no limit on the number of resit attempts, however the assessments are only offered once per year.
Learners must have completed all assessment components to gain the NCFE Level 4 Diploma: Data Analyst (603/7751/3).
All the evidence generated by the learner will be assessed against the standards expected of a level 4 learner.
External assessment
Each learner is required to undertake 4 external assessments. External assessments are set by NCFE and marked by the centre.
The external assessment consists solely of or of a combination of:
- set date and time (invigilated) – NCFE specifies the exact date and time that the external assessment must be administered in the centre
- assessment window (supervised) – the centre arranges supervised periods of external assessment within a set window
- independent self-study (ORSPAs) – these are completed independently by learners
The assessment is administered under specified assessment conditions.
| Assessment | Hours/timings |
| 1: ORSPA: data cleansing and security | 8 hours |
| 2: ORSPA: database design and joining | 10 hours |
| 3: ORSPA: insight showcasing and presentation | 16 hours |
| 4: ORSPA: predictive modelling and statistical learning | 26 hours |
Progression
Learners who achieve this qualification could progress to the following:
- further education:
- related apprenticeships
- higher education
Career Opportunities
- Junior analyst
- Data analyst
- Departmental data analyst
- Energy data analyst
- Marketing data analyst
- Problem analyst
Student Finance
This qualification may be eligible for funding.
A Tuition Fee Loan is available to most UK students. The loan is administered by the Student Loan Company. The tuition fee loan is paid directly to the College.
A maintenance loan for living costs is also available. The amount a student get depends on his/her personal circumstances and household income.
The online calculator (https://www.gov.uk/student–finance–calculator) will give an accurate idea of what level of student funding a student may be eligible for.