INFORMATION TECHNOLOGY PROGRAMS
Post-Graduate Certificate
Level 7 Diploma in Information Technology
Unlock Executive Roles in Tech with Postgraduate Expertise
Course Overview
The Level 7 Diploma in Information Technology is a rigorous and advanced qualification designed to prepare learners for senior roles in IT management, data systems, and emerging digital technologies. This postgraduate-level diploma equips learners with a comprehensive understanding of the strategic and operational aspects of IT, fostering the ability to lead technological change and digital transformation in complex business environments.
The programme covers key areas including data analytics, computer networks, database systems, management information systems, social impacts of computing, and practical project development—laying a solid foundation for progression into Master’s level study or high-level IT career paths.
Entry Requirements
To be eligible for this programme, applicants should meet the following criteria:
A relevant Level 6 qualification or equivalent professional experience in IT or a related field.
Be aged 21 years or older.
A strong grasp of English (IELTS 6.5 or equivalent) if the applicant’s first language is not English.
International qualifications are assessed for UK equivalency.
Applicants may be asked to provide academic or professional references and a statement of purpose.
Applicants with significant industry experience may also be admitted through Recognition of Prior Learning (RPL).
Qualification Structure
Learners must complete all six mandatory units to achieve the full Level 7 Diploma in IT, earning 120 credits in total.
Mandatory Units:
Computer Networks – 20 credits
Introduction to Networks
• Network protocols and communications
• Network Protocol Stack
• Addressing and Subnetting
• Network configuration and troubleshooting
• Data-link layer
Data Analytics – 20 credits
Introduction to big data
• Applications of big data
• Working with different data types
• Data processing pipeline
• Introduction to data processing model and programming
o MapReduce and Hadoop
o Hadoop Distributed System (HDFS)
• Data processing using existing tools
o Apache Mahout
o NoSQL database
o Mongo DB
o Cassendra
Database Management Systems – 20 credits
Introduction to ER model
• Introduction to relational model
• Functional dependencies
• Normal forms
• Relational algebra
• Installation of MySQL and performing CRUD operations
• String function, aggregate functions and logical operators using MySQL
• Joins using MySQL
• Introduction to phpMyAdmin
Management Information Systems – 20 credits
o Basics of MIS in organisations and links to strategy
o Global E-business and collaboration
o Ethics, social and international aspects of MIS
o Information technology infrastructure
o E-commerce: digital markets and digital goods
o Knowledge management and enhanced decision making
o Application of systems analysis and design principles
Computers and Society – 20 credits
• Ethical Theories
• Data and privacy
• Intellectual property
• Computer crime
• Cloud computing and big data
• Robots and ethics around robots
• Concerns related to AI
• Professional Ethics
• Legislations related to IT
Computing Projects – 20 credits
• Project scope
• Problem Identification
• Design an E-commerce application
• Application Development
• Proposal Presentation
• Final report
Total Credits: 120
Each module is designed to challenge learners with advanced theories, practical applications, and real-world case studies to deepen their technical and strategic IT competencies.
Key Outcomes
On successful completion of the programme, learners will be able to:
Design and manage complex computer networks and enterprise IT infrastructures.
Analyse large-scale data sets using advanced analytics techniques to inform decision-making.
Build and administer robust database systems for scalable applications.
Evaluate and implement management information systems aligned with organisational needs.
Assess the societal, ethical, and legal implications of computing and digital technology.
Plan, execute, and report on IT-based research or development projects with strategic outcomes.
Graduates will possess the analytical and leadership skills needed to thrive in high-responsibility roles across the tech industry.
Duration and Delivery
This diploma is designed to be completed in 9 to 12 months, depending on the study pace and delivery mode.
Modes of delivery include:
Blended learning (on-campus + online)
Fully online, tutor-supported learning
Interactive seminars, webinars, and case-study workshops
Individual and group project-based assignments
Assessment and Verification
Learners are assessed through a combination of:
Analytical reports
Research-based assignments
Data modelling and system design tasks
Strategic planning documents
Independent computing projects and presentations
All assessments are internally marked and undergo external quality verification to ensure consistency and academic integrity. Plagiarism detection and fair assessment practices are strictly enforced.
Recognition of Prior Learning (RPL) is available for experienced professionals seeking credit for previous knowledge and skills.
Progression Opportunities
This qualification enables learners to:
Progress to a Master’s degree in IT, Data Science, Cybersecurity, Information Systems, or related disciplines.
Enter or advance within professional roles such as IT Project Manager, Data Analyst, Systems Architect, Network Consultant, or IT Director.