PEARSON BTEC HND in Digital Technologies (Artificial Intelligence)
Develop future-ready expertise in artificial intelligence, cloud computing, cybersecurity, analytics, IoT, and emerging digital technologies through an internationally recognized Pearson qualification.
18 - 24
Months
4
Semesters
240
Total Credits
2
Intakes Per Year
Program Overview
Future-Ready AI & Digital Technology Education
The Pearson BTEC HND in Digital Technologies (AI) combines practical technical learning with modern industry-focused digital innovation to prepare students for careers in artificial intelligence, data analytics, cloud systems, and intelligent digital transformation.
Artificial Intelligence
Learn intelligent systems, AI fundamentals, analytical models, and modern automation technologies.
Cloud & Big Data
Build expertise in cloud computing, big data processing, and data visualization.
Cybersecurity
Understand secure digital infrastructure, cyber threats, and modern protection systems.
Emerging Technologies
Explore IoT, business intelligence, digital sustainability, and innovation strategies.
Programme Information
Key Details
Academic Information
- Programme: Pearson BTEC HND in Digital Technologies (Artificial Intelligence)
- Qualification Level: BTEC Level 5 (HND)
- Duration: 18 Months (Full-time)
- Semesters: 4
- Total Credits: 240
- Pathways: N/A — All modules are mandatory
Delivery Mode
- Onsite Physical Learning
- Practical lab sessions and project-based assignments
- Industry-standard tools and frameworks
- English Medium
Modules Structure
Academic Modules
All modules are mandatory. No specialisation pathways.
1st Semester:
- Unit 1 – Professional Practice in the Digital Economy
- Unit 2 – Innovation & Digital Transformation
- Unit 4 – Programming
- Unit 7 – Cloud Fundamentals
2nd Semester:
- Unit 3 – Cyber Security
- Unit 5 – Big Data & Visualization
- Unit 11 – Software Development Lifecycles
- Unit 15 – Fundamentals of Artificial Intelligence (AI) & Intelligent Systems
3rd Semester:
- Unit 19 – Business Intelligence
- Unit 20 – Internet of Things
- Unit 21 – Emerging Technologies
- Unit 36 – Application Development
4th Semester:
- Unit 22 – Work-Based Learning in the Digital Economy
- Unit 28 – Risk Analysis & System Testing
- Unit 37 – Application Program Interfaces
- Unit 41 – Digital Sustainability
Learning Journey
Academic Pathway
01
Digital Foundations
Learn programming, cybersecurity, digital innovation, and cloud fundamentals.
02
Data & AI Systems
Explore AI systems, big data, intelligent analytics, and visualization tools.
03
Advanced Technologies
Study IoT, emerging technologies, digital transformation, and business intelligence.
04
Industry Readiness
Gain practical experience through work-based learning and applied projects.
Assessment Structure
Academic Assessments
Internal Assessments
Assignments (per unit)
100%
Practical Tasks & Projects
Pass / Merit / Distinction
Portfolio of Evidence
Compulsory
Pearson BTEC Grading
Unit Grading
Pass / Merit / Distinction
Overall Qualification
HND (Level 5)
Accessor Grading
Campus Quality Assurance
Internal Verification
Campus Quality Assurance
External Verification
Pearson Quality Assurance
Program Fees
Investment in Your Future
Admissions
Entry Qualifications & Eligibility
Admissions Open Now!
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