MSc in Computer Science �TU059 Induction�

Andrea Curley

Brendan Tierney

Ciaran Cawley

Who?

Programme Codes

MSc in Computer Science

Students on all streams complete the following core MSc modules:

• Scientific Research & Literature Writing
• Research Methods & Proposal Writing

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• Research Project and Dissertation OR
• Group Project

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Plus relevant specialist modules

Plus two option modules

Advanced Software Development

The specialist modules on this stream are:

• Programming Paradigms: Principles & Practices (5 ECTS)
• Software Design (5 ECTS)
• Advanced Databases (5 ECTS)
• Systems Architectures (10 ECTS)
• Web Application Architectures (10 ECTS)
• Secure Systems Development (5 ECTS)

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Data Science

The specialist modules on this stream are:

• Fundamentals of Data Analysis (formerly Probability & Statistics) (5 ECTS)
• Machine Learning (10 ECTS)
• Working with Data (10 ECTS)
• Data Management (5 ECTS)
• Data Mining (5 ECTS)
• Data Visualisation (5 ECTS)

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Programme Structure

The dissertation module is included in Stage 1 as an optional module.

Students who wish to complete the programme in one calendar year may under agreement with the Programme Chairperson take the Dissertation module over the summer months. Students must request this before Week 7 of Semester 1.

Progression to Dissertation

In order to progress to Research Project and Dissertation / Group Project, students must achieve at least a 50% average across all core modules (50 ECTS).

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A student who does not achieve this threshold of 50% will exit from the MSc programme with an award of Postgraduate Diploma in Computer Science.

https://www.tudublin.ie/media/website/explore/university-calendar/Academic-Calendar-2026-2027-V.1-Approved-Academic-Council-25.02.26.pdf

https://www.tudublin.ie/media/website/explore/university-calendar/Academic-Calendar-2026-2027-V.1-Approved-Academic-Council-25.02.26.pdf

https://www.tudublin.ie/for-students/starting-at-tu-dublin/getting-started/

Getting Started..

Brightspace (https://www.tudublin.ie/explore/about-the-university/academic-affairs/teaching/vle/brightspace/) :

• Is where course content will be reside

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    Timetabling system (https://timetables.tudublin.ie/ )

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     MSc Blog (http://ditmsc.blogspot.com/ ):

• Holds all Programme-related information

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MSc  Website (https://sites.google.com/view/mscincomputersciencetu059tu060/home ):

• Holds all Programme-related information

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https://www.tudublin.ie/connect/vle/brightspace-for-students/ 

• When you first login in, you will see a page of greyed-out modules.
• Lecturers will make the module live closer to the starting date.
• You must be registered to the module. There is no way of adding a student

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Brightspace

https://www.tudublin.ie/connect/vle/brightspace-for-students/bitesized-brightspace-student-guides/

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Timetables

Available from https://timetables.tudublin.ie/

Timetables

Timetables

DS Timetable

ASD Timetable

My first lecture

Time of lecture

Name of module

Room number (on 2^nd floor)

Module code

Lecturer name

MSc Blog

http://ditmsc.blogspot.com/

MSc Blog

We use a blog as a central resource for information about the programme

• Available at ditmsc.blogspot.com/
• Contains links to all important programme information
• Contains links to important forms – e.g. personal circumstances form
• Acts as a notice board for important programme events – e.g. class time changes

MSc Website

https://sites.google.com/view/mscincomputersciencetu059tu060/home 

Repeating an exam

If you have been unsuccessful in your exams, you can repeat in the Supplemental Exams in August:

• The exams office will notify of the details of what you need to do.
• All repeat modules are capped at 40%.

Repeating a module

If you want to repeat the module internally, you need to do the following:

• Students must contact computerscience@tudublin.ie / Assistant Head of School/ Programme Chairperson to confirm they are permitted to repeat internally.
• Complete the Internal Repeat Form‌ in full and submit it to computerscience@tudublin.ie .
• Your application form will be forwarded to Registrations.
• You will then pay your fees online.

Registrations

Registration Process:

• You should receive an initial email with your TU Dublin email address

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• You should receive an ITR (Invitation To Register) by email
1. Click on the link provided in the email and go through the process.

Registrations

Need to run through all of the items on the left

Registrations

Once module selection is selected, this is the screen that you get

Registration

Data Science

Semester 1 

• Probability & Stats / Fundamentals of Data Analysis 
• Working with Data 
• Data Mining 
• Data Visualisation
• Scientific Research

Semester 2 

• Data Management
• Machine Learning 
• Research Design & Proposal Writing
• 2 * 5 ECTS Electives (you can make changes later in this semester)

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Advanced Software Development

Semester 1 

• Software Design 
• Programming Paradigms
• Web Applications Architectures
• Advanced Databases
• Scientific Research

Semester 2 

• Systems Architectures
• Secure Systems Development
• Research Design & Proposal Writing
• 2 * 5 ECTS Electives (you can make changes later in this semester)

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Registration

The modules you should see are:

If there are a few versions of each module, go into “Restrictions” and pick the module that has TU059/1 mentioned. 

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Once all modules are submitted – an error message may come up as shown in previous slide. Ignore this and go back out to the main page 

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Confirm module selection and move on to uploading a photo and payment. 

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Where are you in the registration process?

TU059 Sign In & Registration  – Fill in form

Go onto the blog - https://ditmsc.blogspot.com/ and open the form in the 1^st post

ID Cards

You need to be registered before you collect your student ID card.

Student cards can be collected in Central Quad at the following times next week:

https://www.tudublin.ie/for-students/starting-at-tu-dublin/getting-started/student-id-cards/aungier-street-bolton-street--grangegorman/

IT Accounts

Student accounts are issued by central TU Dublin Information Services to students who are eligible to register

• Further information on how to access your student account is available at https://www.tudublin.ie/connect/technology-services/student-it-services/

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If you have any questions or need help, please contact our IT Support Helpdesk :

Telephone: 01 220 5123

Email: itsupport.city@tudublin.ie

Logging in �

https://www.tudublin.ie/for-students/starting-at-tu-dublin/getting-online/

Logging in

Logging in

Location

Location

Central Quad – Ground Floor

Difficulties

If you have any trouble completing assessments or exams or attending lectures please contact your stream mentor as soon as you can

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TU Dublin has a range of facilities to help students complete a programme:

• Extenuating Circumstances form
• Appropriate documentation is always required
• Deferral of a module
• Deferral of exams

Applying for Exemptions

Review Module in Programme Document/Module Catalogue

• Available at http://ditmsc.blogspot.com

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You must be able to

• Demonstrate that you have achieved the learning outcomes
• Provide documentary evidence in support
• Certificates, artefacts, references

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Send an email to school.cs@tudublin.ie requesting an exemption form

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Applying for Exemptions

Complete and return the exemption application form

• Available at http://ditmsc.blogspot.com

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These will be reviewed by the admissions and exemptions committee and you will be notified of the result

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Applications must be in by the end of week 2

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Exemptions are not allowed on option modules.

Plagiarism

• Plagiarism is a very serious offence

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• Please read the General Assessment Regulations pertaining to plagiarism -  https://www.tudublin.ie/explore/about-the-university/academic-affairs/assessment-regulations/

Generative AI (GenAI)

• The School of Computer Science have a policy on the use of GenAI described in more detail here

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What is Generative AI (GenAI)?

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• GenAI is a type of Artificial Intelligence that is designed to create new things like writing text, drawing pictures, or making music, all by learning patterns from existing data.

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• Programs like ChatGPT, Claude, Midjourney, and Co-Pilot are examples of GenAI.

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Different lecturers will wish you to use GenAI to different degrees.��So some might say “No GenAI allowed”, and others may say “GenAI allowed for everything”, and even others might say “GenAI for some things and not others”. ��Here’s a scale:

• Please don’t use GenAI tools (like ChatGPT, DALL·E, GitHub Copilot, etc.) for assignments or coursework unless your lecturer gives clear permission.

Why it is important?

• It’s vitally important that you develop your own understanding and skills, and make your university experience as rich as possible.

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• Using GenAI without permission can count as academic misconduct.

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• So please always ask if you're unsure - we’re here to help!

Attendance

• It is vital that you attend lectures and labs

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• There is a direct correlation between attendance and grades

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Other Services

TU Dublin also has a range of other services in place to help students

• Disability Support Service (https://www.tudublin.ie/for-students/student-services-and-support/student-wellbeing/disability-support-service/ )
• Library (https://www.tudublin.ie/library/ )
• Students Union (https://www.tudublinsu.ie/ )
• Counseling Service (https://www.tudublin.ie/for-students/student-services-and-support/student-wellbeing/counselling-service/ )
• Careers Service (https://www.tudublin.ie/for-students/career-development-centre/ )
• Student Health Centres (https://www.tudublin.ie/for-students/student-services-and-support/student-wellbeing/student-health-centres/ )

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Erasmus Students

• Fundamentals of Data Analysis
• Working with Data
• Data Mining
• Data Visualisation
• Programming Paradigms: Principles & Practices
• Software Design
• Advanced Databases
• Web Application Architectures
• Universal Design
• Natural Language Technologies
• Applied Deep Learning

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Erasmus Students

Contact samantha.peavoy@tudublin.ie with your choices

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Module catalogue - https://sites.google.com/mydit.ie/msccomputing

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What Now?

Get familiar with your timetables

Watch out for your invitation to register and register online

Apply for exemptions if appropriate

Keep track of notices on the MSc blog

Enjoy yourselves!

Questions?

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