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 Smart Awards, 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 an understanding of the techniques of Data Analytics and impart the required skills to make them competent professionals in the field of Data Analytics.

• To support the sustained growth of business by optimising resources and exploiting the business insights offered by data.

• To provide an in-depth understanding and application of Data Analytics in business to equip learners who are keen to take up employment in data analytics and/or use the knowledge and skills gained in their organisations or business.

• To provide a progression pathway for learners who wish to gain entry and acceptance into a bachelor’s degree in Data Science, Data Analytics or Business Analytics, or a top-up programme.

Programme Learning Outcomes

Upon successful completion of this programme, learners will be able to:

• Understand the characteristics of data and derive business insights through analysis of data.

• Understand the different data collection techniques and use the right technique to collect appropriate data for analysis.

• Gain an overall view of Data Architecture.

• Make use of DBMS and RDBMS for storage and retrieval of relevant information and gain thorough working knowledge of SQL/MYSQL.

• Gain the required knowledge about Data Quality Management and insights about Data Protection and the relevant Data Protection laws and regulations.

• Produce Data Visualisation reports and create Dashboards using Excel, Tableau and Power BI.

• Make use of Artificial Intelligence Tools for Data Analysis.

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. Module 1 has no prerequisite; Module 2 requires Module 1; Modules 3–6 require Module 2. Students must complete and submit the assessment for the current module before proceeding to the next module.

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.

• The awarding body reserves the right to deny admission to a candidate without assigning any reasons.

Mode of Delivery

The programme is delivered through a flexible, fully online model designed to fit around your schedule.

• Fully Online Delivery: The programme is delivered fully online through the Learning Management System (LMS).

• Comprehensive Course Material: Students are provided with comprehensive learning materials for each module, including module learning materials, pre-recorded instructional videos, application demonstration videos where applicable, and other relevant learning resources.

• Self-Paced Learning: The programme is fully self-paced. There are no live sessions. Students may access and study the learning materials for the assigned module at their convenience within the prescribed learning period.

• Sequential Completion: Modules will be undertaken sequentially. Students are required to complete and submit the assessment for the current module before proceeding to the next module.

• Academic Support: Academic support and clarification on module content will be available through the appropriate academic support channels.

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. The assignments are completed and submitted by the learner. Learners are expected to complete the prescribed learning materials, instructional videos, application demonstrations and other learning activities for the assigned module before undertaking its assessment.

• Sequential Assessment: Students must complete and submit the required assessment for the current module before they can proceed to the next module.

• 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.

• Assignment Structure:

  • Modules 7.1 to 7.4: 7 questions — 6 questions at 15 marks each and 1 question at 10 marks. Recommended word count: 1,000 (Module 7.2: 1,000–1,500). Total: 100 marks.

  • Modules 7.5 and 7.6: 2 questions at 50 marks each. Recommended word count: 1,000. Total: 100 marks.

• 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

Programme Duration

• Minimum Duration: 8 months

• Maximum Duration: 12 months

Students have the option to complete the programme either within 8 months or 12 months. The maximum duration for the full programme is 12 months. The Board of Examiners has the right to terminate any student who does not successfully complete all the requirements of the programme within 12 months from the date of commencement, 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.

Pricing: £990