Computing
This innovative BSc (Hons) in Computing with specialisations is intended to appeal to anyone who is interested in developing practical knowledge and skills in the application of technology to help solve problems in business, data analytics, artificial intelligence, machine learning, blockchain, gaming and cybersecurity.
| Award Name | Degree - Honours Bachelor (Level 8 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | QQI |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Honours Bachelor (Level 8 NFQ) | Major | QQI | Level 8 NFQ |
Duration
4 years; 3 semesters per year. Use of Online/Blended Learning.
Delivery
Blended - Livestream with some on-campus stream classes, scheduled in advance.
Indicative Timetable
Two evenings per week, 18.00 - 22.00 and Saturdays 09.00 - 18.00
Entry Requirements
This IT degree course is designed to appeal to those at work or seeking to re-enter the workforce. There are no specific academic requirements with applicants considered based on relevant work and other experience. Applicants may be required to attend an interview as part of the application process. Applicants under 21 will be assessed based on Leaving Certificate or equivalent.
Laptop Requirement
This programme has a BYOD (Bring Your Own Device) policy. Specifically, students are expected to successfully participate in lectures, laboratories and projects using a laptop computer with a substantial hardware configuration. A suitable configuration is 8GB of RAM (16GB are recommended); a modern 64-bit x86 processor (Intel i5 or superior); 250+ GB of available space in hard disk; WiFi card; and a recent version of Ubuntu, macOS or Windows. It is the responsibility of the student to ensure their laptop is functioning correctly and that they have full administrator rights to the machine.
NCI IT does not provide support for personal devices. Some students may be able to avail of the Student Laptop Loan Scheme, subject to eligibility.
Careers / Further progression
Award and Progression
The Bachelor of Science (Honours) in Computing is awarded by QQI at level 8 on the National Framework of Qualifications. This award will allow progression to level 9 courses on the NFQ. The final award is calculated from weighted results of stage 2, 3 and 4. The course also prepares students for industry recognised certificates in leading technologies.
Further information
Start Date: September 2024.
€4,200 per annum. (Fees revised annually). Spread the cost with our direct debit plan.
Application: Apply online at www.ncirl.ie
This innovative BSc (Hons) in Computing with specialisations is intended to appeal to anyone who is interested in developing practical knowledge and skills in the application of technology to help solve problems in business, data analytics, artificial intelligence, machine learning, blockchain, gaming and cybersecurity. In your final year, you will study modules based on your chosen specialisation from important and exciting areas of computer science.
This computing course will equip you to create software applications for business transformation, artificial intelligence, data analytics, gaming, blockchain and internet of things. You will also understand how to incorporate user data into software applications and how to engineer a software application from requirements through analysis, design, implementation and testing. The course will also allow you to develop your business and interpersonal skills.
Who is the course for?
This part-time course is aimed at those working in the information and communications technology industry and wishing to develop their knowledge and skills in the area of computing and so improve their career prospects. It will also appeal to anyone wishing to move into the information and communications technology industry.
Year 1
Semester 1
• Discrete Mathematics
• Problem Solving and Programming Concepts
• Computational Thinking
• Operating Systems
Semester 2
• Computer Architecture
• Introduction to Programming
• Introduction to Data Modelling and Databases
Semester 3
• Web Design and Development
• Digital Multimedia
• The Computing Industry
Year 2
Semester 1
• Data Communications and Networking*
• Object Oriented Programming
• Advanced Databases
Semester 2
• Data Structures and Algorithms
• Software Engineering
• Software Quality and Testing
Semester 3
• Web Application Development
• Innovation and Business Entrepreneurship
• Team Project
Year 3
Semester 1
• Advanced Computer Networks
• Technical Electives:*
- Introduction to Artificial Intelligence and Machine Learning
- Advanced Programming
• Business Computing Electives:
- Business and Artificial Intelligence
- Project Management
*Students should choose either the Technical Electives or the Business Computing Electives. Students who complete the Business Computing Electives will go on to the 4th Year specialisation in Digital Business Transformation. Students who complete the Technical Electives may choose to specialise in either Games Programming, Software Development, Cybersecurity, Blockchain, Artificial Intelligence/Machine Learning/Data Analytics and Internet of Things.
Semester 2
• Security Fundamentals and Development
Semester 2 & Semester 3
Full six months within an organisation
OR
Academic Internship
Year 4 - Choose a Specialisation
Year 4
Games Programming:
Semester 1
• Project
• Cloud Application Development
• Games Systems
Semester 2
• Project
• Mixed Reality
• Games Programming
• IT Governance, Security and Ethics
Semester 3
• Project
Year 4
Blockchain Specialisation:
Semester 1
• Project
• Cloud Application Development
• Blockchain Foundations
Semester 2
• Project
• IT Governance, Security and Ethics
• Blockchain Application Development I
• Blockchain Application Development II
Semester 3
• Project
Year 4
Software Development Specialisation:
Semester 1
• Project
• Cloud Application Development
• IoT Fundamentals and Development
Semester 2
• Project
• Secure Application Programming
• IT Governance, Security and Ethics
• DevOpsSec
Semester 3
• Project
Year 4
Artificial Intelligence/Machine Learning/Data Analytics
Semester 1
• Project
• Cloud Application Development
• Artificial Intelligence
Semester 2
• Project
• Data Application Development
• IT Governance, Security and Ethics
• Machine Learning
Semester 3
• Project
Year 4
Cybersecurity Specialisation:
Semester 1
• Project
• Cloud Application Development
• Secure Application Programming
Semester 2
• Project
• Penetration Testing
• IT Governance, Security and Ethics
• Digital Forensics
Semester 3
• Project
Year 4
Internet of Things Specialisation:
Semester 1
• Project
• Cloud Application Development
• IoT Fundamentals and Development
Semester 2
• Project
• Data Mining and Visualisation Principles
• IT Governance, Security and Ethics
• IoT Application Development
Semester 3
• Project
Year 4
Digital Business Transformation:
Semester 1
• Project
• Cloud Application Development
• Business Analysis
Semester 2
• Project
• Digital Transformation
• IT Governance, Security and Ethics
• Strategic Management
Semester 3
• Project
Year 4
Internet of Things Specialisation
Semester 1
• Project
• Cloud Application Development
• IoT Fundamentals and Development
Semester 2
• Project
• Data Mining and Visualisation Principles
• IT Governance, Security and Ethics
• IoT Application Development
Semester 3
• Project
Availability of specialisations is subject to student numbers.
The course will be assessed with a blend of continuous assessments and/or project work and exams. Please note that in some instances exams may take place in the daytime, evenings and at weekends.
Course information: 1800 221 721
Reception: (01) 4498500
Email: admissions@ncirl.ie
Web: www.ncirl.ie
We are located at:
Mayor St, IFSC,
Dublin 1,
D01 K6W2