The Higher Diploma in Applied Computing (HDAC) is Year 2 of the BSc (Hons) Applied Computing degree from the University of East London (UEL). Building directly on the DAC, this 150-credit programme takes students deeper into Advanced Software Engineering, Enterprise Databases, Cloud Computing, Cybersecurity, AI, Machine Learning, Mobile Development, and IoT. DAC and HDAC classes are conducted by Matrix Campus, while the final degree year is conducted by AIMS Institute, the official pathway partner for the UEL degree.
Completed DAC (Year 1)?
Move straight into HDAC once you've achieved an overall pass with a minimum of 40% in each DAC module and completed all 150 DAC credits.
Ready for the Final Year?
Complete HDAC's 150 credits to progress into the final year of the BSc (Hons) Applied Computing degree, conducted by AIMS Institute and awarded by UEL.
✔ The Pathway: FDHS → DAC (Year 1) → HDAC (Year 2) → BSc (Hons) Applied Computing at UEL (Final Year) — one continuous route to a UK Honours degree.
- 1. Entry Requirements
- 2. Awarded Institutes
- 3. Programme Overview
- 4. Programme Structure (Core & Elective Modules)
- 5. Full Module Breakdown
- 6. Assessment Strategy & Grading Scale
- 7. Progression Pathway: DAC → HDAC → UEL BSc (Hons)
- 8. Graduate Attributes & Career Outcomes
- 9. Frequently Asked Questions (FAQ)
1. Entry Requirements
Entry into the Higher Diploma in Applied Computing is a direct continuation of the DAC. There is no separate application process — students who meet the academic requirements move from DAC into HDAC as part of the same pathway.
| Entry Route | Who It's For | Minimum Requirement |
|---|---|---|
| Standard Progression (DAC → HDAC) | Students who have completed all three DAC core modules and one DAC elective | Overall pass in DAC with a minimum of 40% in each module and all 150 DAC credits completed |
| Transfer / Equivalent Entry | Students holding an equivalent Year 1 computing qualification from another recognised institution | Subject to an academic assessment and credit equivalency review by AIMS Institute on a case-by-case basis |
HDAC's Year 2 modules assume the programming, database, and systems foundations built in DAC. AC301, AC302 and AC303 move quickly into design patterns, distributed databases, and cloud architecture — students who complete DAC comfortably above the 40% pass threshold typically find the transition into HDAC's advanced content far smoother.
Entry and progression requirements are reviewed periodically by AIMS Institute and the University of East London. Always confirm the latest published criteria before enrolling in HDAC.
2. Awarded Institutes
The HDAC stage follows the same joint delivery model as DAC, with one important shift at the final year: your HDAC classes are conducted locally by Matrix Campus, and once you progress into the final year of the BSc (Hons) degree, that stage is conducted by AIMS Institute, with the qualification ultimately certified and awarded by an internationally recognised UK university.
AIMS Campus & Matrix
AIMS Campus is the official in-country pathway partner for the FDHS, DAC, and HDAC stages of the programme, overseeing progression and the academic link to the UEL degree. Day-to-day classes for DAC and HDAC are conducted by Matrix Campus, which provides lectures, academic support, and assessment preparation throughout your journey to the UEL degree.
University of East London (UEL)
The University of East London is the UK university that ultimately awards the final BSc (Hons) Applied Computing degree once students complete DAC, HDAC, and the final year of study conducted through AIMS Institute — giving graduates a genuine, internationally recognised UK Honours qualification.
Certificates and transcripts for the Diploma and Higher Diploma stages reflect Matrix Campus as the delivery institution; final-year records reflect AIMS Institute, and the final degree parchment is issued directly by the University of East London.
3. Programme Overview
The Higher Diploma in Applied Computing (HDAC) is a 150-credit programme that forms Year 2 of the BSc (Hons) Applied Computing degree. It builds directly on the Year 1 Diploma in Applied Computing (DAC) and focuses on advanced software engineering, enterprise systems, cybersecurity, cloud computing, artificial intelligence, data science, and professional computing practice.
The curriculum is designed to develop the technical, analytical, research, and project management competencies expected of students entering the final year of a bachelor's degree in Applied Computing. HDAC classes are conducted by Matrix Campus, and successful completion, subject to progression requirements, allows students to move directly into Year 3 — the final year of the BSc (Hons) Applied Computing programme, conducted by AIMS Institute and awarded by UEL.
4. Programme Structure (Core & Elective Modules)
HDAC's 150 credits are split between three core modules covering advanced enterprise computing foundations, and three elective modules students choose from to build specialised, career-aligned skills.
| Module Code | Module Title | Type | Credits |
|---|---|---|---|
| AC301 | Advanced Software Engineering and Application Development | Core | 30 |
| AC302 | Enterprise Database Systems and Data Engineering | Core | 30 |
| AC303 | Cloud Computing, Cybersecurity and Infrastructure Management | Core | 30 |
| AC401 | Artificial Intelligence and Machine Learning Applications | Elective | 20 |
| AC402 | Mobile Application Development and Internet of Things | Elective | 20 |
| AC403 | IT Project Management, Research and Professional Practice | Elective | 20 |
| Total Credits | 150 | ||
Students complete all three core modules (AC301, AC302, AC303) plus all three elective modules (AC401, AC402, AC403), for a total of 150 credits.
5. Full Module Breakdown
Below is a unit-by-unit summary of what each HDAC module covers, along with the core learning outcomes students are expected to achieve by the end of Year 2.
Core Modules
Advanced Software Engineering and Application Development
Develops advanced software development skills through object-oriented design, software architecture, design patterns, testing methodologies, DevOps practices, and enterprise application development.
Units covered: Software Engineering Principles (Agile & Scrum, requirements engineering)
• Advanced Object-Oriented Design (SOLID, UML, design patterns, refactoring)
• Enterprise Application Development (layered architecture, MVC, REST APIs)
• Software Quality Assurance (unit & integration testing)
• DevOps and Continuous Integration (Git, CI/CD, containerisation)
• Secure Software Development (OWASP, authentication)
• Software Maintenance and Evolution
• Enterprise Software Project.
Learning outcomes: Design enterprise software solutions using industry-standard methodologies; develop scalable software applications; apply software testing and quality assurance techniques; implement DevOps practices and deployment strategies; produce a complete enterprise-level software project.
Enterprise Database Systems and Data Engineering
Develops advanced database design, data engineering, data warehousing, big data management, and enterprise information system skills.
Units covered: Advanced Database Design (enterprise data modelling, distributed databases)
• Advanced SQL Programming (stored procedures, triggers, transactions)
• Database Performance Optimisation
• NoSQL Databases (document, key-value, graph)
• Data Warehousing (ETL, star/snowflake schemas, BI)
• Big Data Technologies (Hadoop, Spark, data lakes)
• Data Security and Compliance (GDPR, encryption, audit controls)
• Enterprise Data Project.
Learning outcomes: Design enterprise-level database solutions; implement advanced SQL programming techniques; develop data warehouse architectures; apply data security and governance practices; create scalable data engineering solutions.
Cloud Computing, Cybersecurity and Infrastructure Management
Provides advanced knowledge of cloud platforms, cybersecurity frameworks, network security, and enterprise infrastructure management.
Units covered: Enterprise Network Infrastructure
• Cloud Architecture (AWS, Azure, Google Cloud, hybrid/multi-cloud)
• Virtualisation and Containers (Docker, Kubernetes)
• Cybersecurity Frameworks (NIST, ISO 27001, risk management)
• Ethical Hacking and Penetration Testing
• Security Operations (incident response, SIEM, digital forensics)
• Cloud Security (IAM, security architecture)
• Infrastructure Management Project.
Learning outcomes: Design secure enterprise infrastructures; implement cloud-based solutions; conduct cybersecurity risk assessments; apply security monitoring and incident response practices; evaluate enterprise infrastructure solutions.
Elective Modules (Choose Three)
Artificial Intelligence and Machine Learning Applications
Develops practical knowledge of machine learning, predictive analytics, neural networks, and AI applications used in industry.
Units covered: AI Foundations
• Machine Learning Techniques (supervised, unsupervised, reinforcement learning)
• Predictive Analytics (classification, regression, model evaluation)
• Deep Learning (CNNs, RNNs, Generative AI)
• Natural Language Processing (text analytics, chatbots, language models)
• AI Ethics and Governance (responsible AI, explainable AI).
Learning outcomes: Develop machine learning models; analyse datasets using AI techniques; evaluate predictive analytics solutions; apply AI tools to real-world problems; assess ethical implications of AI deployment.
Mobile Application Development and Internet of Things
Equips students with the skills required to design mobile applications and integrate IoT technologies into smart solutions.
Units covered: Mobile Computing Fundamentals
• Mobile App Development (Android, cross-platform frameworks)
• Mobile Databases and APIs (local storage, REST APIs)
• Internet of Things (architecture, sensors, embedded systems)
• IoT Communication Technologies (MQTT, Bluetooth, Wi-Fi, edge computing)
• Smart Systems Development (smart homes, smart cities, security).
Learning outcomes: Design and develop mobile applications; integrate APIs and cloud services; develop IoT-enabled systems; evaluate IoT security risks; implement smart technology solutions.
IT Project Management, Research and Professional Practice
Prepares students for final-year research and professional practice through project management, research methods, leadership, entrepreneurship, and innovation.
Units covered: Project Management Methodologies (PMBOK, Agile, scheduling)
• Research Methods (research design, literature reviews, ethics)
• Innovation and Entrepreneurship (digital innovation, business models)
• Leadership and Team Management
• Professional and Ethical Practice
• Research Proposal Development.
Learning outcomes: Apply project management methodologies; conduct academic and industry research; develop technology-focused business ideas; demonstrate leadership and professional skills; produce a research proposal suitable for final-year study.
6. Assessment Strategy & Grading Scale
To ensure alignment with Level 5 undergraduate standards and progression to the final year of the BSc (Hons) Applied Computing programme, every HDAC module is assessed through a combination of continuous assessment (60%) and a final examination (40%).
| Assessment Component (Core Modules — 30 Credits) | Description | Weight (%) |
|---|---|---|
| Assignment 1 | Technical Analysis / Design Report | 15 |
| Quiz 1 | Concepts and Theory Assessment | 5 |
| Assignment 2 | Practical Development Project | 10 |
| Practical Lab Assessment | Implementation and Demonstration | 20 |
| Final Examination | Theory and Applied Case Study | 50 |
| Total | 100 | |
| Assessment Component (Elective Modules — 20 Credits) | Description | Weight (%) |
|---|---|---|
| Assignment 1 | Individual Coursework — Concepts Assessment | 20 |
| Quiz 1 | Practical Project | 10 |
| Assignment 2 / Presentation | Demonstration and Evaluation | 30 |
| Practical Component | Demonstration and Evaluation | 10 |
| Final Examination | Applied Theory and Case Study | 30 |
| Total | 100 | |
Programme-Wide Grading Scale
| Grade | Percentage Range | Classification |
|---|---|---|
| A+ | 85–100 | Distinction |
| A | 80–84 | Distinction |
| A− | 75–79 | Distinction |
| B+ | 70–74 | Merit |
| B | 65–69 | Merit |
| B− | 60–64 | Merit |
| C+ | 55–59 | Pass |
| C | 50–54 | Pass |
| D | 40–49 | Pass |
| F | Below 40 | Fail |
To progress into the final year of the BSc (Hons) Applied Computing programme, students must achieve an overall pass mark of 40% or above in each module, successfully complete all 150 HDAC credits, and satisfy any additional progression requirements set by the University of East London for entry into the final year, conducted through AIMS Institute.
7. Progression Pathway: DAC → HDAC → UEL BSc (Hons)
HDAC is the middle stage of a continuous four-step route to a full UK Honours degree — delivered locally through Matrix Campus for the Diploma and Higher Diploma years, and through AIMS Institute for the final degree year, in partnership with the University of East London.
Step 1 — Foundation Diploma for Higher Studies (FDHS)
Complete the academic foundation stage, building the English, mathematics, and subject-specific foundation needed for degree-level study.
Step 2 — DAC: Diploma in Applied Computing (Year 1 of BSc)
Complete the 150-credit Year 1 programme covering programming, databases, and systems foundations. DAC classes are conducted by Matrix Campus.
Step 3 — HDAC: Higher Diploma in Applied Computing (Year 2 of BSc)
Complete AC301, AC302, AC303, and electives AC401, AC402, AC403 to earn 150 credits and the Higher Diploma in Applied Computing. Like DAC, HDAC classes are conducted by Matrix Campus.
Step 4 — BSc (Hons) Applied Computing at UEL (Final Year)
Complete the final year of the degree — including a capstone project — conducted by AIMS Institute, to graduate with a BSc (Hons) Applied Computing degree awarded directly by the University of East London.
8. Graduate Attributes & Career Outcomes
Upon successful completion of the Higher Diploma in Applied Computing, students build a rounded, enterprise-ready skill set spanning software engineering, data engineering, cloud infrastructure, cybersecurity, AI, mobile/IoT development, and professional project management — preparing them for both the final year of a UK Honours degree and mid-level computing careers.
- Design and develop enterprise-scale software systems.
- Implement advanced database and data engineering solutions.
- Deploy secure cloud-based infrastructures.
- Apply artificial intelligence and machine learning techniques.
- Develop mobile and IoT-enabled applications.
- Conduct research and manage complex IT projects.
- Demonstrate professional, ethical, and leadership competencies.
- Progress confidently into the final year of a BSc (Hons) Applied Computing programme and undertake advanced computing research and development projects.
Potential Career Directions
- Software Engineer
- Enterprise Database Developer
- Cloud Infrastructure Engineer
- Cybersecurity Analyst
- Machine Learning Engineer
- Mobile App Developer
- IoT Solutions Developer
- IT Project Coordinator
- DevOps Engineer
Reputation & Recognition
9. Frequently Asked Questions (FAQ)
What is the Higher Diploma in Applied Computing (HDAC)?
The Higher Diploma in Applied Computing (HDAC) is a 150-credit Year 2 pathway programme forming the second stage of the BSc (Hons) Applied Computing degree from the University of East London (UEL). HDAC classes are conducted by Matrix Campus, covering Advanced Software Engineering, Enterprise Database Systems, Cloud Computing and Cybersecurity as core modules, with electives in AI/Machine Learning, Mobile/IoT, and IT Project Management. Successful completion leads into the final year of the BSc (Hons) degree, conducted by AIMS Institute.
What are the entry requirements for HDAC?
Entry into HDAC requires successful completion of the Diploma in Applied Computing (DAC) with an overall pass, a minimum of 40% in each of DAC's modules, and completion of all 150 DAC credits.
Who conducts the HDAC classes, and who awards the final degree?
Diploma in Applied Computing (DAC) and Higher Diploma in Applied Computing (HDAC) classes are conducted by Matrix Campus. The final year of the BSc (Hons) Applied Computing degree is conducted by AIMS Institute, the official in-country pathway partner, with the degree itself awarded by the University of East London (UEL).
What modules are covered in the Higher Diploma in Applied Computing?
HDAC's core modules are Advanced Software Engineering and Application Development, Enterprise Database Systems and Data Engineering, and Cloud Computing, Cybersecurity and Infrastructure Management (30 credits each). Students then take three 20-credit electives: Artificial Intelligence and Machine Learning Applications, Mobile Application Development and Internet of Things, and IT Project Management, Research and Professional Practice.
How is each HDAC module assessed?
Every HDAC module is assessed through a combination of 60% continuous assessment — technical analysis or design reports, concept quizzes, practical development projects, lab implementation and demonstration, or presentations — and a 40% final examination based on theory and applied case studies.
What happens after HDAC?
On successful completion of 150 HDAC credits and satisfying progression requirements, students proceed directly into the final year of the BSc (Hons) Applied Computing degree, conducted by AIMS Institute and awarded by the University of East London.
What is the pass mark and grading scale for HDAC?
Students must achieve an overall pass mark of 40% or above in each module and complete all 150 credits to progress. Grades range from F (below 40%) up to A+ (85-100%), classified as Pass, Merit, or Distinction bands.
About Matrix Campus Academic Board
Matrix Campus conducts the DAC and HDAC classes for students pursuing the University of East London degree pathway in Sri Lanka. The final degree year is conducted by AIMS Institute, the official pathway partner. Our goal is to empower students with accurate, unbiased information to build successful academic and technology careers.
