Course Overview

Are you good at maths, interested in coding, and keen to study people as well as equations? Do you like the idea of using data to understand the human condition? If so, the new BA in Arts with Data Science may be for you.

Data science is the art of extracting useful knowledge from raw data, and then communicating that knowledge to others. Data scientists need strong quantitative and coding skills, but they are not narrow technical specialists. For example, to learn from psychological data, you need to have a good understanding of psychology.

In this unique four-year programme, you will build an outstanding portfolio of data science skills, while simultaneously studying a relevant Arts discipline (Psychology, Economics, Geography, History or Philosophy) to Joint Honours level. You will graduate with a proven track-record of applying data analytics techniques to real-world human problems. Few skills are more highly valued by employers.


Applications and Selections

Who Teaches this Course

Requirements and Assessment

Key Facts

Entry Requirements

Minimum Grade H5 in two subjects and passes in four other subjects at O6/H7 Grades in the Leaving Certificate, including Irish, English, another language and three other subjects recognised for entry purposes. A H5 or O1 Grade in Leaving Certificate Mathematics is also a requirement.

Additional Requirements


4 years

Next start date

Sept 2018

A Level Grades ()

Average intake


Closing Date

Next start date

Sept 2018

NFQ level

Mode of study

ECTS weighting




PAC code

Course Outline

In this four-year programme, you will get a rigorous technical education in the foundations of data science – mathematics, statistics, IT – plus a full major in a relevant Arts discipline of your choice. You will also do an eight-month work placement in your third year

Year 1- Arts major (Psychology, Economics, Geography, History or Philosophy) plus:

  • Skills for Data Science 1
  • Programming 1
  • Programming 2
  • Probability 1
  • Statistics
  • Analysis and Algebra 1
  • Analysis and Algebra 2
  • Skills for Mathematics

Year 2- Arts major (continued from Year 1) plus:

  • Skills for Data Science 2
  • Database Systems
  • Probability 2
  • Statistical Inference
  • Linear Algebra

 Year 3- Data Science Accelerator in Semester 1:

  • Philosophy of Statistics and Machine Learning
  • Artificial Intelligence
  • Programming 3
  • Calculus
  • Formal Logic or Discrete Mathematics.

Year 3- Semester 2: Work Placement

 Year 4- Arts major (continued from Year 2) plus:

  • Machine Learning and Text Mining
  • Applied Regression Models
  • Stochastic Processes or Statistical Modelling
  • Data Science project
  • Data Science case study
  • Data Science literature review

Note: modules offered may change from year to year, depending on availability.

Why Choose This Course?

Career Opportunities

Data analytics talent is in very short supply worldwide.  Graduates from this programme will have a highly attractive portfolio of skills, and will be well positioned for a wide range of graduate careers. Those who pursue further study (e.g. NUIGalway’s one-year MSc in Data Science) will be able to apply for data scientist roles. 

Who’s Suited to This Course

Learning Outcomes


Work Placement

The Arts with Data Science degree includes an eight-month off-campus work placement in Year 3. (Should no external placement be available, you will be given a project on campus.)

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€6,300 p.a. 2018/19

Fees: Tuition

€3,276 p.a. 2018/19

Fees: Student Contribution

€3,000 p.a. 2018/19

Fees: Student levy

€224 p.a. 2018/19

Fees: Non EU

€13,850 p.a. 2018/19
EU Fees 2018/19:
- Tuition: may be paid by the Irish Government on your behalf see - free fee initiative.
- Student Contribution: €3,000 - payable by all students but may by paid by SUSI if you apply and are deemed eligible for a means tested SUSI grant.
- Student Levy:  €224 - payable by all students and is not covered by SUSI.

Find out More

School of Humanities (Philosophy)

NUI, Galway

+353 91 49 5929