Computing - Blanchardstown
The Higher Diploma in Science in Computing is designed to give students a comprehensive understanding with specific abilities in the areas of computing technology and associated best practices, as well as to act as a basis on which to progress to higher studies in computing
The Higher Diploma in Science in Computing is suitable for degree holders at NFQ Level 7, or higher who want a skills conversion path to an IT environment, that is, individuals who wish to redirect their careers into the ICT industry (Conversion to IT).
The emphasis on the course is on a theoretical and practical approach in a modern working environment with the latest appropriate technology and techniques necessary for the cultivation of advanced computing skills valuable to today's ICT market place at the level appropriate for a Higher Diploma in Science in Computing.
IT Requirements: A MEDIUM spec (i.e. able to run Win 10, an AV solution and Office comfortably. Be able to use Wi-fi and camera to attend online classes, use other software such as SPSS, Adobe Connect, Minitab, Maple, so needs more RAM, SSD, etc.)
Please search for the TU Dublin offer on the HEA website www.heanet.ie/store
Software Engineering 1
Web Development Introduction
Software Engineering 2
Communications and Networking
Modelling and Database Design
Web Application Development
Web Software Engineering
Project Design and Development
Ordinary Bachelor Degree (NFQ Level 7 )in a non-related discipline or Ordinary Bachelor Degree in Computing (NFQ Level 7) where their date of award exceeds 5 years previous from their date of application.
Apply for this course online at https://www.itb.ie/StudentCategories/parttime.html
2 years part-time
1 Saturday per month 9.30am - 5.30pm plus blended learning which consists of 12 hours per week of directed learning delivery online. * Average of 12-18 hours of independent and online study required per week
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Graduates of this course may progress on to the Master of Science in Computing (Applied Cyber Security) or Master of Science in Computing (Applied Data Science & Analytics)