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 80 module options offered in conjunction with other UCD Schools and Units including Business, Physics, Mathematics and Statistics, Psychology, Law and NovaUCD.
Negotiated Learning: student and academic discuss goals, and tailor a suitable programme for the student.
- The student has the opportunity to select modules, from a suite of diverse module offerings, that best align with their own individual needs and career goals.
- Over 80 Modules to choose from - more information on Negotiated Learning modules listed
What Will I Learn?
1 - Work effectively within a small team of specialists to achieve specific practical goals in solving problems within the IT domain and in cooperation with other stakeholders
2 - Effectively marshall a variety of expert skills towards focussed goals within the student's chosen IT domain
3 - Develop an awareness of the current state of the art within their specific domain of expertise, including future prospects and opportunities
4 - Communicate technical work effectively to both a specialised and a general audience in word and in text, through writing and in public presentations
5 - Achieve competence across a broad range of foundational subject matter within the IT domain, while developing advanced expertise in one or two selected areas
6 - Develop the ability to assess and critique state-of-the-art developments within their chosen field.
7 - Recognise and manage the theoretical diversity found within the many specialties within information technology.
Career & Graduate Study Opportunities
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: Artificial intelligence, software engineering & QA, data programming and analysis, commercialisation of technology, teaching and training, security and forensics consultancy, and bioinformatics R&D.
Student Internships
All students are offered the opportunity to undertake an internship* during the programme. The following internships are examples of past placements: Amazon, SAP, Dell, Ericsson, HubSpot, Geowox, FoodMarble, HealthBeacon, Autodesk, Microsoft, Equifax, Groupon, Workday, Honeywell, Intel, Shutterstock
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