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DC123

Data Science and Artificial Intelligence

Course Details

CAO Code:
DC123
Course Type:
Undergraduate
NFQ Level:
8
Delivery Mode:
Minimum Points
500
Duration:
Phone:
+353 (0) 1
700 5936

Do you want to work with data and understand the technology shaping how the world makes decisions?

Overview

Overview Icon

Big data is more than just a buzzword; it’s the driving force behind the world we live in, shaping everything from the insurance you receive to the content you discover online. When you study Data Science & Artificial Intelligence at DCU, you’ll gain the skills to capture, manage and analyse the vast amounts of data generated every day, and learn how to build AI models that turn information into real-world impact.

Throughout your studies, you’ll master the entire data and AI pipeline: from gathering and cleaning data, to exploring patterns, building and evaluating machine learning models, and understanding the important legal, ethical and privacy considerations in today’s data-driven world. You’ll build a strong foundation in programming, statistics, modelling, visualisation, databases and data engineering, equipping you with the essential skills every modern data scientist needs.

Ireland is one of Europe’s most exciting AI and data hubs, home to global leaders like Google, Microsoft, Meta, Amazon, TikTok and IBM, as well as more than 2,200 innovative Irish tech start-ups and scale-ups. With over 260,000 people working in digital roles and a growing demand for graduates with AI and data expertise, you’ll find opportunities in every sector, from healthcare and finance to climate, cybersecurity and public services.

This degree is your pathway to a future shaped by innovation and discovery. You’ll take part in a paid, six-month INTRA placement, work on real-world projects, and learn directly from leading researchers in AI and data science. By the time you graduate, you’ll have the confidence and skills to turn raw data into valuable insights and to create the intelligent systems that will shape the world for years to come.

Not sure which computing degree is right for you? Watch our webinar to explore all three options and discover which path best matches your interests and ambitions.

DCU People

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Dr Alessandra Mileo
Staff

What I enjoy most about teaching on the BSc in Data Science and Artificial Intelligence is getting to work with students who are genuinely curious and excited to learn.


Read more about Dr Alessandra Mileo
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Caoimhe Duignan
Student

I chose this course because I enjoyed maths in secondary school and I felt that I could handle a maths-heavy degree.


Read more about Caoimhe Duignan
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Brian Cafferty
Student

Hi my name is Brian Cafferty and I am a 3rd year Data Science student here in DCU.


Read more about Brian Cafferty
Jane Adkins
Jane Adkins
Student

I have just completed my final year of studying data science at DCU, and it has been an exceptional journey.


Read more about Jane Adkins

Careers & Further Options

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Careers

Some Data Science and Artificial Intelligence graduates choose to start their own businesses, others begin careers as:

  • Finance
  • Healthcare
  • Telecommunications
  • Non‑Profit
  • Media
  • Retail
  • Manufacturing
  • Sport
Data Scientist
Business Intelligence Analyst
Customer Insight Lead
Team Leader
Chief Data Scientist
Director of Analytics
Risk Analyst
Knowledge Engineer
Data Programmer

DCU graduates are highly sought after by employers. Our Graduates work in environments ranging from large multinationals to SMEs, family businesses and start-ups across every sector.

DCU Careers Service has a number of learning and development initiatives in place for our students, giving them the skills they need for a successful career path." 

Go to our Careers site to find out more about career planning, our mentorship programme, skills development and online resources for students when working on CVs and making applications.

Entry Requirements

Entry Requirements Icon

In addition to the general entry requirements for admission to the university the following entry requirements apply

Minimum of H3 in Mathematics.

 

In addition to the general entry requirements for admission to the university the following entry requirements apply

GCE A Level B Mathematics 

Please visit our Admissions webpage for application guidance and to review specific FET course requirements, please visit the CAO QQI FET Requirements Look Up Facility.

Please visit our QQI FET webpage for details on DCU courses, open days, campus tours or school visits.

To apply to DCU, please visit www.cao.ie.

Mature entry is a competitive process. Applicants must demonstrate:

  • a genuine interest in the programme(s) they are applying for
  • academic experience and competency in their chosen field of study
  • an ability to engage and succeed on the programme

All applicants must complete a statement of interest to be considered for the mature application route.

For further guidance on the mature application process please see the CAO Website

Additional Requirements

This webpage will be updated shortly. Please refer to the Leaving Cert Entry Requirements for guidance on level of competency required. 

Applicants that have completed at least one year of study at NFQ Level 6, 7 or 8 at another institution may apply to continue their studies on a similar programme at DCU. There should be substantial overlap in content between the two programmes to be considered for a transfer. Results and other supporting documentation must be submitted to CAO by the closing date of 1st July. This is a competitive application process for a small quota of advanced entry places. Offers are made on a rolling basis until all places are filled. Early application is advised. Please note: Applicants should also consider applying through the appropriate route for first year entry to the programme they are interested in. This application process is only for advanced entry.

International candidates are expected to have educational qualifications of a standard equivalent to those outlined above. In addition, where such candidates are non-native speakers of the English language they must satisfy the university of their competency in the English language. Click here for further information on international applications.

Course Structure

Course Structure Icon

The DCU BSc in Data Science and Artificial Intelligence combines the three key skill sets of computing, mathematics and enterprise to provide the core knowledge needed to succeed in this growing area.  The course will introduce students to the major concepts in data analytics, management, processing, modelling, visualisation and enterprise.  Partnering with industry provides opportunities to engage with real-world problems and data sets. You will learn to program, to study mathematics and learn to apply these skills to data from the real world, communicating the results to different audiences. 

 

  • Introduction to R
  • Linear Mathematics (1 and 2)
  • Calculus
  • Probability & Statistics
  • Computer Programming (1 and 2)
  • Data Science and Databases
  • Computer Systems
  • Statistics (1 and 2)
  • Calculus
  • Computer Programming (3 and 4)
  • Developing Internet Applications
  • Data Warehousing
  • Logic
  • Data Processing and Visualisation
  • Programming for Data Analysis
  • Professional and Research Practice for Data Science
  • Data Exploration Using Graph Theory
  • Fundamentals of Software Testing
  • Search Technologies
  • Application Domains 1
  • INTRA (8 months) or study abroad
  • Application Domains 2 and 3
  • Data Analytics at Speed and Scale
  • Natural Language Technologies
  • Advanced Machine Learning
  • Building Complex Computational Models
  • Final Year Project

Fees and Funding

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Fees

All programme fees are per annum and subject to an annual increase.

Student Contribution.
€2,543
EU Status Fee
€6,679
Non EU Fee.
€17,900

How To Apply

How To Apply Icon

Apply through the Central Applications Office (CAO) by 1st February or 1st May

To apply for this programme:
Candidates should apply directly here. Here's a quick step by step guide if you need help with your application.

Please provide 

  • Academic Transcripts for each and every year of study with English translation, if applicable.
  • If applicable, provide evidence of competence in the English language as per DCU entry requirements.  Please see link http://www.dcu.ie/registry/english.shtml

Applications are accepted on an ongoing basis up to 1st July. All Non-EU candidates are advised to apply early, as places are limited.

 

All mature applicants apply through the CAO by 1st February. For further information and for special application procedures for mature students, please click here

Applications are made via the CAO Advanced Entry route which will open from the end of November to 1st July.

Candidates required to apply through the CAO can apply online at www.cao.ie
 

Life On Campus

Life on Campus
DCU Campus Glasnevin

DCU Glasnevin Campus

FAQs

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What is Data Science and Artificial Intelligence?

Data Science is the study of information - where it comes from and the patterns it forms. Data scientists turn this information into a resource for businesses and governments. Students on this programme learn the skills necessary to solve a wide range of problems.

In DCU you will learn theory in maths, statistics, programming, and cloud technologies. There is a huge demand for Data Science graduates.

 

I am interested in studying Data Science and Artificial Intelligence and was wondering if the course has a work placement module?

All of the courses in the School of Computing (Data Science and Artificial Intelligence, Computer Science and Computing) have a paid work placement. Data Science students go on work placements for  9 months in third year. 

Data Science students liaise with the DCU INTRA office to organise a suitable placement that is relevant to their programme of study. In the past, many students have been hired by their work placement companies post-graduation. It is a wonderful learning experience and gives students the opportunity to put their learning into practice.  

 

Do I need to know how to programme before entering this course?

Students do not require any past programming experience, as all first-year modules are taught at an introductory level. During our courses, you’ll learn coding and programming, and get to grips with databases, operating systems and networks. HTML, CSS, CSS3, Python and Javascript are examples of programming languages taught throughout the course.