The Data Analytics pathway combines computing foundations (Level 4) with specialist analytics units (Level 5), including a Pearson-set research project.
Program Structure
The HND is a 240-credit programme delivered over 15 months at ABC Horizon, with 960 GLH. You complete 120 credits at Level 4 and 120 credits at Level 5.
Level 4 Units (120 credits)
Level 4 includes 6 core mandatory units, 1 specialist mandatory unit, plus ONE unit selected from the Level 4 Optional Unit Bank.
| Unit | Unit Title | Credits | Level | Status |
|---|
| 1 | Programming | 15 | 4 | Core (Mandatory) |
| 2 | Networking | 15 | 4 | Core (Mandatory) |
| 3 | Professional Practice | 15 | 4 | Core (Mandatory) |
| 4 | Database Design & Development | 15 | 4 | Core (Mandatory) |
| 5 | Security | 15 | 4 | Core (Mandatory) |
| 6 | Planning a Computing Project (Pearson-set) | 15 | 4 | Core (Mandatory) |
| Specialist | Data Analytics (Pathway Specialist Unit)
Title/Unit number should follow the specification pathway mapping. | 15 | 4 | Specialist (Mandatory) |
| Choose 1 | Level 4 Optional Unit Bank (choose ONE):
Optional Unit 11: Strategic Information Systems
Optional Unit 12: Management in the Digital Economy
Optional Unit 13: Website Design & Development
Optional Unit 14: Maths for Computing
Optional Unit 15: Fundamentals of Artificial Intelligence (AI) & Intelligent Systems | 15 | 4 | Optional (Choose 1) |
Level 5 Units (120 credits)
Level 5 includes two core mandatory units and three specialist mandatory units, plus 30 credits from TWO Level 5 optional units.
| Unit | Unit Title | Credits | Level | Status |
|---|
| 16 | Computing Research Project (Pearson-set) | 30 | 5 | Core (Mandatory) |
| 17 | Business Process Support | 15 | 5 | Core (Mandatory) |
| 24 | Advanced Programming for Data Analysis | 15 | 5 | Specialist (Mandatory) |
| 25 | Machine Learning | 15 | 5 | Specialist (Mandatory) |
| 26 | Big Data Analytics and Visualisation | 15 | 5 | Specialist (Mandatory) |
| Choose 2 | Level 5 Optional Units (choose TWO / 30 credits):
Select two units from the Level 5 Optional Unit Bank (Units 33–54).
Unit combinations must not replicate another specialist pathway. | 30 | 5 | Optional (Choose 2) |
Optional selection guidance: Students typically choose optional units that strengthen analytics capability (e.g., database management, systems analysis, UX/UI for dashboards, analytics methods), depending on cohort and timetable availability.
Admission is designed to be clear and supportive—ensuring you are placed on the correct undergraduate pathway for success.
Entry Requirements
- Completion of a Level 3 qualification (such as the British High School Diploma) or equivalent
- No specific GPA requirement
- Short interview to assess English language level and programme readiness
- Immediate start available after registration
Learning is structured around applied assignments and project work, designed to build practical analytics competence and workplace readiness.
Mode of Delivery and Assessment
Mode of Study at ABC Horizon
- Onsite: Classroom-based learning, workshops, guided labs, and project sessions
- Online: Live delivery with structured resources and tutor guidance
- Blended: A combination of onsite and online delivery
Assessment Approach
- Internal assessment through assignments, analytical tasks, reports, and project submissions
- Pearson-set projects included within the core structure: Unit 6 (Level 4) and Unit 16 (Level 5)
- Assessment is unit-based and aligned to learning outcomes and unit criteria
Grading
Units are graded using Pearson Higher National unit grading, based on achievement against published assessment criteria. Pearson-set units follow the required set theme and expectations as part of the programme’s core structure.
Cost
Level 5 Tuition Fee: £6,000
Installments available.
The HND is designed as a progression-ready undergraduate qualification—supporting final-year entry into top-up degrees and advanced study.
Academic Progression Pathway
After completing the Level 5 HND in Computing (Data Analytics), learners commonly progress to:
- Level 6 top-up degrees (final-year entry) in Data Analytics, Data Science, Computing, or related disciplines
- Specialist bachelor’s pathways aligned to analytics, business intelligence, and data-driven computing
- Professional development routes and certifications aligned to analytics tools and platforms
Progression routes depend on university entry requirements and programme alignment.
Delivery is designed for international learners, with clear academic language support embedded in teaching and assessment practice.
Language of Delivery
This programme is delivered in English or Arabic.
