MSc Computer Science (Negotiated Learning)
The MSc Computer Science (Negotiated Learning) is a uniquely flexible and innovative programme. It offers a negotiated learning model for students with an ICT background that allows you to customise your learning path and to tailor what you learn to your own specific needs and career aspirations. Module choices include several programming languages, cloud computing, bioinformatics, data mining, machine learning and information visualisation.
Once you are accepted onto the programme we will guide you through a student needs assessment to establish your prior experience, personal knowledge gaps and your career plans. You have the option to select modules with a very specific thematic focus or you may select modules from one of the pre-defined themes covered by the programme.
Course Highlights
Currently, there are approximately 100 module options offered in conjunction with other UCD Schools and Units including Business, Physics, Mathematics and Statistics, Psychology, Law and NovaUCD.
Students have the opportunity to negotiate a programme of learning that is tailored to their own career goals and requirements. Instead of there being a rigorous set of modules that each student must take, as is typical in standard taught MSc programmes, students can prefer to broaden their knowledge across a diverse cross-section of modules offered by Schools such as the UCD School of Computer Science, UCD School of Business, UCD School of Mathematics and Statistics and the UCD School of Information and Communication Studies. Students enrolling in this MSc are also provided with the opportunity to work on a specialised research task and/or work as part of a research group as part of this programme.
Intakes
- Jan
- May
- Sep
Application Processing Time in Days: 20
Application Process
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Previous graduates are in demand and among their recent career destinations are employers like Google, SAP, Intel, PayPal, Deloitte, Microsoft, Symantec, HMH, Vilicom, Murex, NYSE Technologies, Realex Payments, Version 1, Salesforce, Pfizer, Ericsson, and Intune Networks.
Recent graduates have secured roles in areas including: hardware design, software engineering & QA, data programming & analysis, commercialisation of technology, teaching & training, senior management & CEO roles, security & forensics consultancy, and bioinformatics R&D.
PSW Opportunity
2 years
Admission Requirement / Eligibility Criteria
- This programme is intended for applicants with a Computer Science or ICT background. An upper second class honours degree, or the international equivalent in computer science or a related area or a minimum of three years’ relevant industrial work experience is required.
- Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.
These are the minimum entry requirements – additional criteria may be requested for some programmes
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
29100 EUR
Annual Cost of Living: 10500 EUR
Application Fee: 50 EUR
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