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MSc in Computer Science

Course Structure

The MSc in Computer Science programme takes one year to complete. In the first two semesters students take a range of taught modules, and then from April to August work full-time on their individual dissertations. All students take a set of core modules but then have the option to specialise in one of four strands:

PLEASE NOTE that the School of Computer Science and Statistics reserves the right to amend the list of available modules and, in particular to withdraw and add modules from year-to-year.

Data Science Strand Module Summary

Michaelmas Term (Sept-Dec)

Hilary Term (Jan-March)

Summer Term (April-August)

Machine Learning Optimisation Algorithms for Data Analysis Dissertation
Data Analytics Applied Statistical Modelling
Research Methods and Innovation Data Visualisation
Scalable Computing Security & Privacy
Option 1 Option 2
Option 3

Option 1, 2 and 3 are elective modules selected from the other strands.

Intelligent Systems Strand Module Summary

Michaelmas Term (Sept-Dec)

Hilary Term (Jan-March)

Summer Term (April-August)

Machine Learning Text Analytics Dissertation
Adaptive Applications Artificial Intelligence
Knowledge & Data Engineering Information Retrieval &Web Search
Advanced Software Engineering 1 Advanced Software Engineering 2
Research Methods and Innovation Option 2
Option 1 Option 3

Option 1, 2 and 3 are elective modules selected from the other strands.

Future Networked Systems Strand Module Summary

Michaelmas Term (Sept-Dec)

Hilary Term (Jan-March)

Summer Term (April-August)

Machine Learning Security & Privacy Dissertation
NS Elective 1 Advanced Software Engineering 2
Advanced Software Engineering 1 Distributed Systems
Research Methods and Innovation Option 2
Scalable Computing Option 3
Option 1  
Urban Computing

NS Elective is selected from: Internet of Things and Next Generation Networks.

Option 1 and Option 2 are elective modules selected from the other strands.

Augmented and Virtual Reality Strand Module Summary

Michaelmas Term (Sept-Dec)

Hilary Term (Jan-March)

Summer Term (April-August)

Machine Learning Real-time Rendering Dissertation
Research Methods and Innovation Augmented Reality
Advanced Software Engineering 1 Advanced Software Engineering 2
Computer Vision Real-time Animation
Computer Graphics* Option 1
Mathematics of Light & Sound Option 2

Computer Graphics is a mandatory module but students who can demonstrate that they have covered the material elsewhere may select an alternative module from other strands.

Option 1 and 2 are elective modules selected from other strands.

Here is the link to the MSc in Computer Science handbook which covers all four strands.

Assessment and Progression

The Taught Component makes up the first two semesters of the course and accounts for 60 ECTS credits out of a total of 90. These are examined either continuously during the course or by end of semester exams. The pass rate for these subjects is 50%.

At the end of the 2nd semester, students who have passed at least 50 ECTS credits at a level of >=50% and achieved a level of >=40% in a further 10 ECTS will be granted permission to "Proceed to Dissertation". Those who fail to achieve that level will cease working on their dissertation at that point. They may re-sit the exams they have failed, but are only eligible for the award of Postgraduate Diploma in Computer Science.

In August, students submit a Research Disseratation for the remaining 30 ECTS and those who obtain 50% or greater will be eligible for an MSc in Computer Science. Students who obtain a distinction in their dissertation and an average of >=70% in the taught component will be eligible for an MSc in Computer Science with Distinction.

Please note that the above is a summary of the assessment regulations detailed in the college calendar. TCD reserves the right to ammend regulations from time to time. Students are informed of applicable regulations at the start of the year, and are notified in writing in the event of any changes.