- About us
- Staff directory
- Glen Manning

Glen Manning
Academic qualifications
BSc in IT and Computing, CertEd, HNC in Computing, ONC in Engineering, L7 Strategic Leadership and Management
"Blending my RAF background in AI systems and Python instruction with current work in neurotechnology, I aim to inspire students to think beyond the code - to see how digital skills can shape the future in meaningful ways."

I bring a unique blend of military and technical experience to my role at UCB, where I teach programming, AI, and new technologies such as neurotechnology. My time as an Aircraft Engineering Technician in the Royal Air Force (RAF), working on AI-based weapon systems and software to protect airfields, has given me valuable, real-world experience in high-pressure situations. This helps me connect theory to practical, important examples that engage students and prepare them for careers in technology and data.
In addition to my military background, I taught Python programming to new recruits as part of their progression from schools to T-Level education. This role honed my ability to break down complex programming topics into accessible, logical steps, ensuring learners from diverse backgrounds could build confidence - regardless of prior experience. My RAF experience fostered a disciplined, structured approach to problem-solving and programming, which I emphasise with students to help them develop critical thinking, effective communication skills, and resilience under pressure.

I hold industry-recognised certifications including CompTIA Security+ and Network+, and specialise in software programming, virtualisation, and web development using React, Node.js, and SQL. Recently, I have been expanding my applied knowledge in neurotechnology through hands-on development with the UltraCortex 16-channel EEG headset, working with real-time brainwave data. By integrating neurotechnology projects into the curriculum, I expose students to cutting-edge fields such as signal processing, machine learning, and human-computer interaction, fostering creativity and interdisciplinary thinking beyond traditional programming.
Students often say that they like my friendly and easy-to-understand teaching style. I break down complex topics into simple, clear steps, and I focus on practical, hands-on learning using real data and real-world problems. I also aim to create a supportive environment where students feel comfortable asking questions, trying things out, and learning from their mistakes.
I’d like to dispel the myth that our industry requires “genius” brains or strong backgrounds in maths. It’s far more important to have a curious mind, a persistent nature, and a willingness to learn through trial and error.
Beyond teaching, I enjoy spending time in nature, working on personal projects that blend technology and creativity, and staying mentally and physically active.