Level 3 Diploma in Information Technology – 2025

Description:

The
Level 3 Diploma in Information Technology is purposefully redesigned to offer
comprehensive theoretical knowledge and hands-on practical experience suited
for beginners and mature learners. This updated syllabus builds a strong
foundation in modern IT while preparing students for future academic and career
pathways. Covering enhanced areas such as IT Concepts with AI integration,
Microsoft Office with productivity automation, Computer Hardware and Network
Fundamentals, Internet Technologies, Email and Web Design, Graphic Design and
Multimedia Creation, Software Engineering Essentials, Python Programming,
Database Concepts with SQL Server, and Application Development with C#, the
program now reflects contemporary digital trends. With the inclusion of AI
tools, creative platforms, real-world projects, and industry-relevant
activities, learners gain a well-rounded and future-ready understanding of
today’s evolving IT landscape.

Course Benefits:

• Future-Ready Skill Development: Gain hands-on exposure to
  modern IT tools including AI assistants, cloud-based productivity platforms,
  web technologies, and creative design applications used in real workplaces.
• AI-Enhanced Learning: Learn how to leverage Artificial
  Intelligence tools such as Copilot, Gemini, Canva AI and AI-supported coding
  assistants to improve productivity, creativity, and problem-solving skills.
• Practical, Project-Driven Approach: Strengthen learning
  through real-world mini projects, practical labs, and guided activities across
  web design, multimedia creation, programming, and database operations.
• Industry-Aligned Curriculum: Master updated and streamlined
  modules such as Hardware & Networking, Python Programming, Software
  Engineering, SQL Databases, and C# designed according to current industry
  expectations.
• Pathway to Advanced Studies: Build a strong foundation that
  seamlessly leads to higher-level programmes such as HND, Degree pathways, Cyber
  Security, AI & Data Science, and Software Engineering, Network Engineering.