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Part-Time Computing Courses

Higher Certificate in Science in Computer Systems Management (TU054)
Course code: TU054 Entry Route into programme:
  • Leaving Certificate
  • FETAC
  • Mature Grounds
Duration: 2 years Part time (4 semesters)
NFQ level: 6
Fee:
Schedule: Monday, Wednesday and Thursday 6pm - 10pm
Award title: Higher Certificate in Science
Credits for Full Award: 120 @ NFQ Level 6
Awarding Body:                  Technological University Dublin Transfer and Progression:
TU765 Bachelor of Science in Computing in Digital Forensics and Cyber Security

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Bachelor of Science in Computing in Cloud Networking Technologies (TU766)
Course code: TU766 Entry Route into programme:
  • Appropriate Higher Certificate in Science in Computing or equivalent
Duration: 3 Semesters (18 Months)
NFQ level: 7
Fee:
Schedule: Monday 6-10pm and Wednesday 6-10pm ( Note : This programme will be delivered primarily online. Students will be required to attend the University for some practical workshops during the semester.)
Award title: Bachelor of Science
Credits for Full Award: 60 @ NFQ Level 7
Awarding Body:                  Technological University Dublin  

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Bachelor of Science in Computing in Digital Forensics and Cyber Security (TU765)
Course code: TU765 Entry Route into programme:
  • Higher Certificate in Computing (NFQ Level 6) or equivalent
Duration: 1 year Part time (2 Semesters)
NFQ level: 7
Fee:
Schedule: Tuesday,Wednesday and Thursday 6.00pm -10.00pm
Award title: Bachelor of Science
Credits for Full Award: 60 @ NFQ Level 7
Awarding Body:                  Technological University Dublin  

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Bachelor of Science (Honours) in Computing in Digital Forensics and Cyber Security (TU885)
Course code: TU885 Entry Route into programme:
  • Bachelor of Science in Computing (NFQ Level 7) or equivalent
Duration: 1 year Part time (2 Semesters)
NFQ level: 8
Fee:
Schedule: Monday, Wednesday , Thursday 6.00pm - 10.00pm
Award title: Bachelor of Science (Honours)
Credits for Full Award: 60 @ NFQ Level 8
Awarding Body:                  Technological University Dublin  

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Higher Diploma in Science in Computing (TU251)
Course code: TU251 Entry Route into programme:
  • Bachelors Degree
Duration: 2 years (3 semesters + 1 semester of self-directed learning to complete project)
NFQ level: 8
Fee:  
Schedule: 1 Saturday per month 9.30am - 5.30pm and blended learning * Average of 12-18 hours of independent and online study required per week
Award title: Higher Diploma in Science
Credits for Full Award: 60 @ NFQ Level 8
Awarding Body:                  Technological University Dublin  

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Master of Science in Computing (Applied Cyber Security) (TU252)
Course code: TU252 Entry Route into programme:
  • Second Class Honours grade 2 (GPA 2.5 or equivalent) in a Bachelor of Science (Honours) in Computing (level 8) or graduate diploma or equivalent.
Duration: 2 Years (4 Semesters)
NFQ level: 9
Fee:                                                              
Schedule: Online - Tuesday and Thursday 6.00pm -10.00pm
Award title: Master of Science
Credits for Full Award: 90 @ NFQ Level 9
Awarding Body:                  Technological University Dublin  

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Master of Science in Computing (Applied Data Science & Analytics) (TU253)
Course code: TU253 Entry Route into programme:
  • Second Class Honours grade 2 (GPA 2.5 or equivalent ) in an NFQ Level 8 degree in Computing, Business with IT or equivalent.
Duration: 2 Years (4 Semesters)
NFQ level: 9
Fee:
Schedule: Online Year 1: Tuesday and Wednesday 6pm-10pm. Online Year 2: Wednesday and Thursday 6pm - 10pm All classes are recorded.
Award title: Master of Science
Credits for Full Award: 90 @ NFQ Level 9
Awarding Body:                  Technological University Dublin  
Master of Science in Computing (Human Language Technology) (TU254R)
Course code: TU254R Entry Route into programme:
  • Second Class Honours grade 2 (GPA 2.5 or equivalent) in a Bachelor of Science (Honours) in Computing (level 8) or equivalent. 
  • Applicants with a 2nd Class Honours Grade 2 (GPA 2.5 or equivalent), in a level 8 programme other than a Bachelor of Science in Computing may also be admitted.
Duration: 2 Years (4 Semesters)
NFQ level: 9
Fee:
Schedule: Tuesday and Thursday 6.00pm -10.00pm                        
Award title: Master of Science
Credits for Full Award: 90 @ NFQ Level 9
Awarding Body:                  Technological University Dublin  

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Certificate in CISCO-CCNA (TU5252)
Course code: TU5252 Entry Route into programme:          Strong I.T. skills are required along with computer and internet access
Duration: 10 months Part-time
NFQ level: 6
Fee:
Schedule: See Springboard+ website
Award title: Certificate in CISCO-CCNA
Credits for Full Award: 20 @ NFQ Level 6
Awarding Body:                  Technological University Dublin  

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What our students say...

"I had noticed that tools in Data Mining could be used to learn clusters and hence to automate my work tasks. I decided to take the course and to go a little deeper . Since I took the course, I have been able to exploit many algorithms to learn patterns and hence assign labels/categories to things in a highly automated way. In addition to the new skills learned I managed to re-kindle skills in Analytics, Software Engineering, Big data and visualisations that I had worked on before, but the course also helped me to hone these skills.
The lectures were delivered online so there was no need to attend in person, but there was always the option to arrange a meeting with a tutor or project supervisor if you so wished or needed that extra support. Each evening is recorded and available on Moodle and hence you never really lose out if you have a conflict. You can listen to the lecture when it suits you. Although, if you wish to ask a question it is best to try to attend on the event.
When combining a day job with a course, it is essential to have a clear line of sight of activities due at the start of each module. The roadmap is very clearly set-out at the beginning of a module and there was a definite plan for the activities. The course is exciting. If your work life involves Spreadsheets, SQL statements, VLOOKUP, PowerPoint charts, then this course is for you. The course allows you to update your skills and knowledge in a field that is currently very popular. Deep Learning, Advanced Analytics, Predictions, Scoring, ETL (extract transform load) and visualisations will be demonstrated to you naturally and understandably. You will gain practical experience, do projects and importantly be able to use these techniques in your day job. The highlight for me was doing the Research Project and taking final delivery of my Thesis.
I enjoyed the course and gained a tremendous benefit from doing it. I feel so much more confident now tackling big data jobs, drawing charts, or using Predictive Analytics."

David Moore,
Graduate Master of Science in Computing (Applied Data Science & Analytics)

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