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Computer Science with Data Science (CSSC)

Undergraduate (Level 8 NFQ, Credits 240)
Academic Year 2024/2025
Internships Available
Study Abroad
Duration:
4 Year(s)
Next Intake:
2024/2025 September
General Entry Requirements (IB)

29

General Entry Requirements (A-Level)

ABB / BBBD /
BBB + D AS Level

Subject Requirements (Mathematics)

*GCSE A / A Level D

(or AS Level C)
IB SL 6 / HL 4

Subject Requirements (Laboratory Science)

GCSE A / A Level D

(or AS Level C)
IB SL 6 / HL 4

Country Specific Entry Requirements:
Visit the UCD Global Undergraduate Entry Requirements webpage.

Curricular information is subject to change.

Computer Science is a common entry course and offers the following two degree subjects:

If you have an interest in technology and trends, this degree subject could be for you. At its core, data science is about extracting insights from data that can transform the way a company operates. For example, understanding data can match millions of businesses with new customers around the world in the areas of advertising and e-commerce. Mining large-scale data sets based on our health can inform pharmaceutical companies when choosing new medicines to develop and capturing data streams from wearable devices can improve our understanding of our habits and routines. Agri-food, energy, transport, government and education are all examples of industries on the verge of being transformed by the power of data-driven methods.

Information on all our courses including pathways, internships and careers information is available in the UCD Science Undergraduate Courses Entry 2024 Brochure (PDF).

About this Course

If you have an interest in technology and trends, this degree could be for you. At its core, data science is about extracting insights from data that can transform the way a company operates. For example, understanding data can match millions of businesses with new  customers around the world in the areas of advertising and e-commerce. Mining large-scale data sets based on our health can inform pharmaceutical companies when choosing new medicines to develop and capturing data streams from wearable devices can improve our understanding of our habits and routines. Agri-food, energy, transport, government and education are all examples of industries on the verge of being transformed by the power of data-driven methods. 

Computer Science with Data Science is one of the degree subjects available through the common entry Computer Science course. This degree subject follows the same first two years as the BSc in Computer Science, which will give you an excellent foundation in Computer Science and Mathematics. The in-depth focus on Data Science begins in Third Year, when you will study Statistics, Data Management and Data Analytics. The aim is to provide the technical depth and the practical experience that you will need to stand out in an increasingly demanding market place. Modules will include hands-on experience with contemporary data science tools such as Hadoop, NoSQL, Python, SciPy, SciKit.Learn, Matplotlib, Numpy and Pandas. This is a sample pathway for a degree subject in Computer Science with Data Science. Sample topics include Machine Learning, Probability Theory, Introduction to AI, Data Science in Python, Data Mining, Information Visualisation, Programming for Big Data, and Deep Learning. 

First Year
Algorithmic Problem Solving • Introduction to Comp Architecture • Formal Foundations • Computer Programming • Functional Programming • Software Engineering Project • Foundations of Mathematics for Computer Science • Statistics with Python 

Second Year
Digital Systems • Databases and Information Systems • Discrete Mathematics for Computer Science • Introduction to Java • Computer Networking • Software Engineering Project • Introduction to Operating Systems • Data Structures • Algorithm • Linear Algebra 

Third Year
Data Science in Python • Probability Theory • Introduction to Artificial Intelligence • Network Analysis • Data Science in Practice • Information Visualisation • Programming for Big Data • Information Security • Five Month Internship or Software Engineering Project 

Fourth Year
Data Science Project • Machine Learning • Deep Learning • Data Mining • Cloud Computing • Connectionist Computing • Parallel and Cluster Computing • Text Analytics • Human Language Technology • Spatial Information Systems • Information Security 

Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.

Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.

Module ID Module Title Trimester Credits
Stage 3 Core Modules
     
COMP30030 Introduction to Artificial Intelligence Autumn

5

COMP30760 Data Science in Python - DS Autumn

5

COMP30940 Information Security Autumn

5

STAT20200 Probability Autumn

5

COMP30750 Information Visualisation -DS Spring

5

COMP30770 Programming for Big Data Spring

5

COMP30850 Network Analysis Spring

5

Stage 3 Core Modules
     
Stage 3 Options
     
COMP30790 Industry internship 2 Trimester duration (Spr-Sum)

15

COMP30010 Foundations of Computing Autumn

5

COMP30230 Connectionist Computing Autumn

5

COMP30250 Parallel Computing Autumn

5

COMP30780 Data Science in Practice Spring

15

Stage 3 Options
     
Stage 4 Core Modules
     
COMP30170 Computer Science Project 2 Trimester duration (Aut-Spr)

15

COMP30520 Cloud Computing (UG) Autumn

5

COMP40370 Data Mining Autumn

5

COMP47490 Machine Learning (UG) Autumn

5

COMP30930 Optimisation Spring

5

COMP47580 Recommender Systems & Collective Intelligence Spring

5

Stage 4 Core Modules
     
Stage 4 Options
     
COMP30230 Connectionist Computing Autumn

5

COMP30250 Parallel Computing Autumn

5

COMP30690 Information Theory Autumn

5

COMP41400 Multi-Agent Systems Autumn

5

SCI30080 Professional Placement-Science Autumn

5

COMP30110 Spatial Information Systems Spring

5

COMP30220 Distributed Systems Spring

5

COMP30540 Game Development Spring

5

COMP40020 Human Language Technologies Spring

5

COMP40660 Advances in Wireless Networking Spring

5

COMP41710 Human Computer Interaction Spring

5

COMP47480 Contemporary Software Development Spring

5

COMP47590 Advanced Machine Learning Spring

5

COMP47650 Deep Learning Spring

5

COMP47700 Speech and Audio Spring

5

COMP47980 Generative AI: Language Models Spring

5

IS30370 Digital Media Ethics (formerly Information Ethics) Spring

5

MATH30180 An Intro to Coding Theory Spring

5

STAT30280 Inference for Data Analytics (online) Spring

5

It is possible to study abroad for a trimester, usually in the third year of the course. Universities that students have visited to date include the University of Auckland, New Zealand, the University of California, Irvine, USA, and Fudan University, Shanghai, China.

Students have an opportunity to undertake an industry placement for 5.5 months in Third Year from March to August. Assessment is based on a learning journal and a presentation from the student.

Students who do not undertake the longer internship option also have the opportunity to complete a Professional Placement module worth 5 credits. This module provides students with an opportunity to undertake a placement in industry (6-10 weeks) in the summer following Third Year.

Students in recent years have completed internships in Bank of America, Amazon, Stripe, Hubspot, SAP, Deloitte, AIB, Zurich Insurance, Optum and Viasat.

Placements are secured on a competitive basis and are subject to change each year.



More information about the internship module and application process.


Graduates with training in Computer Science with Data Science work in fields such as:
• Banking and Financial Services
• Consultancy (e.g. Accenture, Deloitte, PwC)
• Internet companies such as Google, PayPal and Meta
• Established ICT companies such as IBM, Microsoft and Intel
• ICT Start-ups

Graduates can also pursue a range of MSc or PhD programmes such as the MSc Computer Science (Negotiated Learning).

* A Level C or IB HL 5 in Mathematics recommended for Computer Science programmes.

The following advice is for Non-EU applicants. For Irish/EU/UK students, please apply via MyUCD.

The following entry route(s) are available:
 
Computer Science (CSSA)
Undergraduate Degree (Non EU)
Entry in Sep 2024
Full Time - 4 Year(s) Apply from Oct 2023 Apply

Growing up, I loved taking things apart, understanding how they worked and the challenge of putting them back together. Similarly, I enjoyed maths in school and thought computer science might give me an outlet to apply these problem-solving skills in college. The foundational modules offered in the first two years are invaluable to students who opt for the data science pathway. Today, a degree in data science provides endless career opportunities and studying at UCD makes it all the more enjoyable. UCD’s elective modules provided me with a platform to extend my love for sport to an academic level by completing modules in exercise and performance. As a GAA scholar, UCD gave me the best opportunity to perform and succeed with access to world-class facilities and services.

Chloe Foxe, Graduate

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Computer Science with Data Science (CSSC)

Undergraduate (Level 8 NFQ, Credits 240)