Computer Science with Data Science

Course Information

BSc (Hons) (NFQ Level 8)

Full Time – Undergraduate Studies

CAO Code: DN201
CAO Points Range 2019: 488
Length of Course: 4 Years
Average Intake: 105

Leaving Certificate:

  • O2/H6 in Mathematics
  •  O6/H7 in English, Irish and three other recognised subjects
Click below for equivalent entry requirements information for:

Why is this course for me?

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.

Career & Graduate Study Opportunities

Graduates with training in Computer Science with Data Science work in fields such as:

  • Banking and financial services
  • Consultancy (e.g. Accenture, Deloitte)
  • Internet companies such as Google, PayPal and Facebook
  • Established ICT companies such as IBM, Microsoft and Intel
  • ICT Startups

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

What Will I Study

This degree 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 Panda.

This is a sample pathway for a degree in Computer Science with Data Science. Sample topics include Machine Learning, Probability Theory, Introduction to AI, Networks & Internet Systems, Data Science in Python, Data Mining, Information Visualisation, and Programming for Big Data.

First Year

  • Computer Science
  • Mathematics
  • Elective Module

Second Year

  • Computer Science
  • Mathematics
  • Elective Modules

Third Year

  • Computer Science
  • Data Science
  • Elective Modules
  • 5 month Internship or Research Project

Fourth Year

  • Computer Science
  • Data Science (Includes a research project)

The Computer Science course is full time and includes a mixture of lectures, tutorials and practical assignments. Assessment varies with each module but may comprise continuous assessment of practicals, written exams and online learning activities.

For detailed information on subject content click here.

International Study Opportunities

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.


“A degree in Computer Science is as close to a universal degree as you’ll get. You can choose to apply your technical expertise in virtually any industry: science, fashion, sport, social media, finance, nutrition, health, business, etc. The recent introduction of Computer Science with Data Science only strengthens the range of career opportunities for students. I completed two software engineering internships with Intel during the summers of first and second year, as well as a five-month data science Internship worth 15 credits in third year. Learning to apply your skills and having the chance to work in teams with highly talented engineers is an incredibly challenging yet rewarding experience. When I graduate, I aspire to work in a data analysis or technical product management role.”

Lily Burke Student

Leave a Reply

Please disable your adblock and script blockers to view this page