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School of Computing | Higher National Diploma Level

Level 5 Pearson BTEC HND in Digital Technologies in AI

Prepare for the future of intelligent innovation
with our RQF-accredited HND in Digital Technologies (Artificial Intelligence –
Solutions and Applications). This industry-focused qualification is designed to
develop independent, work-ready professionals with the skills, knowledge,
and confidence required to succeed in today’s fast-evolving digital economy.

Developed in collaboration with employers,
industry experts, and higher education institutions, this programme combines
core digital technology foundations with specialist learning in Artificial
Intelligence and Intelligent Systems. Students gain hands-on experience in AI
concepts, intelligent system design, data-driven problem solving, programming,
and ethical considerations, preparing them to work with real-world AI
solutions.

The programme follows a practical, applied
learning approach, enabling students to connect theory with practice through
case studies, projects, and workplace-focused scenarios. On successful
completion, learners can progress directly to the third year of an honours
degree in Artificial Intelligence, Computer Science, Data Science, or
related disciplines at recognised universities worldwide.

Accredited by Pearson (formerly Edexcel), ESOFT
is proud to be a Gold Partner and recognized as the Fastest Growing
Pearson Centre (2012), reflecting excellence in academic quality, student
progression, and global recognition.

ModuleMandatory/Optional
Professional Practice in the Digital EconomyMandatory
Innovation & Digital TransformationMandatory
ProgrammingMandatory
Cloud FundamentalsMandatory

ModuleMandatory/Optional
Cyber SecurityMandatory
Big Data & VisualizationMandatory
Software Development LifecyclesMandatory
Fundamentals of Artificial Intelligence (AI) & Intelligent SystemsMandatory

ModuleMandatory/Optional
Business IntelligenceMandatory
Internet of ThingsMandatory
Emerging TechnologiesMandatory
Digital SustainabilityMandatory

ModuleMandatory/Optional
Risk Analysis and Systems TestingMandatory
Application DevelopmentMandatory
Application Program InterfacesMandatory
Work-based Learning in the Digital EconomyMandatory
BranchBatchDelivery ModeCommencement DateAvailable Seats

Total investment is an approximate figure and includes registration fees and university fees (calculated at 1 USD = 300 LKR).
Monthly instalment plans available.
Conditions Apply

Sri Lankan Students (Weekday-Fee)
  • Registration Fee: LKR 15,000
  • Total Investment: LKR 620,000
Sri Lankan Students (Weekend-Fee)
  • Registration Fee: LKR 15,000
  • Total Investment: LKR 670,000
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