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.