Computer Science - Conversion

UCD offers a skills conversion graduate programme for individuals who hold a primary degree in another discipline (e.g., Arts, Commerce, Engineering), and would like to enter an IT-related career. This programme provides a thorough foundation in modern Computer Science in a practically oriented learning environment.



On completion of the programme you will be able to demonstrate an integrated knowledge and understanding of the scientific principles of Computer Science; demonstrate competence and specialist knowledge in areas such as Programming, Data Science, Software Engineering, Web Application Development, Database Design, Cloud and Distributed Computing, Artificial Intelligence and Cognitive Science; undertake independent innovative research and development projects; and work with confidence both autonomously and as part of a team on projects related to real-world computer science applications.



A research practicum allows students to apply the skills learned in the taught modules in a more significant project and to see where these skills can play a role in industry. In the final trimester, students choose 30 credits of taught modules from the MSc Computer Science (Negotiated Learning) programme.



Course Highlight

This programme has been specifically designed for graduate students of disciplines other than Computer Science. No prior knowledge of programming is assumed. During the first year, students take modules with learning outcomes aimed at providing fundamental skills required by modern technology companies.



- Programme tailored to the needs of non-Computer Science graduates

- Modules covering the fundamental skills required by modern technology companies complemented by one semester of advanced specialised modules

- Significant research-oriented project with presentation



What Will I Learn?

1 - Demonstrate an integrated knowledge and understanding of the scientific principles which underpin modern Computer Science



2 - Synthesise a range of “Big Ideas” in Computer Science and critically reflect on how they relate to current applications and state-of-the-art research within and beyond the field



3 - Demonstrate competence and specialist knowledge in other advanced areas of Computer Science (e.g. Data Science, Cloud & Distributed Computing, Software Engineering, forensics & Security, Artificial Intelligence & Cognitive Science)



4 - Undertake independent innovative research and development related to real-world computer science applications with a full project life-cycle and present the outcomes to technical and lay audiences



5 - Work with confidence both autonomously and as part of a team on IT-related projects and in a professional environment



6 - Employ web application development concepts and technologies to design and create feature-rich and versatile websites



7 - Discover patterns in data and understand how decisions and predictions can be made using data analytics techniques



8 - Apply the core principles of software engineering, database design and programming to solve real-world problems

Stage 1 Core Modules

COMP10280 Programming I (Conversion) Autumn 5

COMP20240 Relational Databases & Information Systems (Conversion) Autumn 5

COMP20270 Python OOP (Conv) Autumn 5

COMP30640 Operating Systems (Conversion) Autumn 5

COMP30680 Web Application Development (Conversion) Autumn 5

COMP47340 Computational Thinking (Conversion) Autumn 5

COMP20230 Data Structures & Algorithms (Conversion) Spring 5

COMP30650 Networks & Internet Systems (Conversion) Spring 5

COMP30660 Computer Architecture & Organistion (Conversion) Spring 5

COMP30820 Java Programming (Conv) Spring 5

COMP30830 Software Engineering (Conv) Spring 5

COMP47350 Data Analytics (Conversion) Spring 5

COMP47360 Research Practicum (MSc Conversion) Summer 30

- An Upper Second class honours degree, or the international equivalent, in a discipline other than Computer Science is required for entry. (In exceptional circumstances, a Lower Second class honours degree (2:2 grade) will be considered if the applicant shows evidence of significant relevant prior experiential learning.)



- Computer Science is a mathematical subject involving logical understanding and reasoning and therefore applicants must be able to demonstrate a good knowledge of mathematics.



If English is not your native language, unless you have done your primary degree through English in an English speaking country, an English language qualification is required for all programmes. 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.



You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.https://tinyurl.com/2ae2ffax

120

16 months full-time. Delivery: On Campus.

MSc Computer Science (Conversion) (T195) Full Time

EU fee per year - € 9650

nonEU fee per year - € 25600


***Fees are subject to change

Next Intake: September 2025.

Career & Graduate Study Opportunities

Some of the roles graduates have worked in include: Software Engineer, IT Project Analyst, Data Scientist, Python Developer, Web Applications Developer, Data Analyst, Business Analyst, Technical Analyst and Technical Consultant. Companies that have employed graduates include IBM, Dell, Accenture, SAP, Workday, Ericsson, Deloitte Ireland, First Derivatives, BearingPoint, Tableau Software, AIB, Web Summit and Zalando SE.