Level 5 Higher Diploma in Data Analytics
Programme Overview
In today’s data-driven world, the ability to extract meaningful insights from vast amounts of information is a critical skill for any organisation. The Level 5 Higher Diploma in Data Analytics is a comprehensive programme designed to equip you with the foundational knowledge and practical skills required to become a competent data analytics professional.
This 120-credit, Level 5 qualification, awarded by London Examinations Board (LEB), covers the entire spectrum of data analytics—from understanding data basics to leveraging Artificial Intelligence for advanced analysis. The programme follows a work and problem-based learning approach, ensuring you can apply your new skills directly to solve real-world business issues. Whether you are looking to start a career in data analytics, enhance your current role, or progress to a bachelor’s degree, this diploma provides the perfect foundation.
- Level 5 Higher Diploma in Data Analytics – Sample Certificate
- Level 5 Higher Diploma in Data Analytics – Sample Transcript
Programme Aims
To equip learners with a deep understanding of data analytics techniques and impart the skills needed to become competent data professionals.
To support the sustained growth of business by optimising resources and exploiting the business insights offered through data analysis.
To prepare learners for immediate employment in data analytics or to use their knowledge to improve decision-making within their organisations.
To provide a clear progression pathway to a bachelor’s degree in Data Science, Data Analytics, or Business Analytics.
Programme Learning Outcomes
Upon successful completion of this programme, learners will be able to:
Understand the characteristics of data and derive business insights through its analysis.
Understand different data collection techniques and use the right methods to collect appropriate data for analysis.
Gain an overall view of Data Architecture, including the use of Data Lakes, Warehouses, and Marts.
Make use of DBMS and RDBMS for storage and retrieval, gaining thorough working knowledge of SQL.
Gain knowledge about Data Quality Management, Data Protection, and relevant data protection laws and regulations.
Produce Data Visualisation reports and create dashboards using industry-standard tools like Excel, Tableau, and Power BI.
Leverage Artificial Intelligence tools for enhanced data analysis and reporting.
Programme & Curriculum Structure
The Higher Diploma in Data Analytics is a 120-credit programme comprised of 6 modules, each carrying 20 credits. The programme is designed to build knowledge sequentially, with a prerequisite of Module 1 required before progressing to the others.
| Module | Module Title | Credits |
|---|---|---|
| Module 1 | Introduction to Data Analytics: Basics, Excel, and Descriptive Analytics | 20 |
| Module 2 | Predictive & Prescriptive Analytics | 20 |
| Module 3 | Database System, Data Governance and Security | 20 |
| Module 4 | Tableau | 20 |
| Module 5 | Power BI | 20 |
| Module 6 | Role of AI in Data Analytics | 20 |
| Total Credits | 120 |
Entry Requirements
An applicant may be admitted on the basis of evidence to suggest they will be able to fulfil and benefit from the objectives of the programme.
Academic Requirement: Applicants should normally have a Level 4 (RQF) diploma or equivalent. However, mature entry learners may be accepted without diplomas if they have relevant work experience.
Age: Applicants should normally be at least 16 years old.
Prior Knowledge: No prior knowledge of data analytics is required to enrol.
Language Proficiency: Applicants must have proficiency in English to participate in the programme taught in English.
Mode of Delivery
The programme is delivered through a flexible, fully online model designed to fit around your schedule.
Pre-Recorded Video Lectures: All modules are supported by comprehensive pre-recorded video lectures that you can access at your convenience. These are released either entirely at the start or at monthly intervals.
Live Interactive Sessions: You will have the opportunity to engage with tutors through live online sessions, allowing you to ask questions and receive further help on the module content (up to 4 hours of tutor interaction per month).
Comprehensive Course Material: In addition to the video lectures, detailed and in-depth course materials are provided for all modules.
Assessment & Grading
Assessment is designed to test both your understanding of concepts and your ability to apply them to practical, real-world problems.
Assessment Method: Assessment is purely based on structured assignments for each module. These assignments consist of a mix of descriptive questions and practical problems that reflect your understanding and skills.
Assignment Weighting: Each module assignment is marked out of 100. The final grade for the programme is the average of the marks scored across all six modules.
Self-Assessment: Objective-type self-assessment questions are included in the course material for self-practice, but they do not form part of the formal assessment.
Grading Structure
| Marks | LEB Classification |
|---|---|
| 70 – 100 | DISTINCTION |
| 60 – 69 | MERIT |
| 50 – 59 | PASS |
| 49 and below | FAIL |
Programme Duration
Minimum Duration: 7 months
Maximum Duration: 12 months
The Board of Examiners has the right to terminate any candidate who does not successfully complete all the programme requirements within 9 months, unless prior extensions have been granted.
Ready to Launch Your Career in Data Analytics?
This programme offers a fast-track route to acquiring the high-demand skills needed in today’s analytics-driven economy. Enrol today and start your journey to becoming a professional data analyst.
