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. You will study an Arts subject in parallel with maths, IT and data science modules. By the time you graduate, you will be well qualified to apply data analytics techniques to complex, real-world, human problems. Few skills are more highly valued by employers.

The government expects Ireland to become one of Europe’s leading countries for data science. Thousands of new jobs are anticipated, and Galway is already a significant hub. In this 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. (Options may include Economics, Psychology, Geography, Law, History and Philosophy.) You will also gain considerable work experience, in the form of an eight-month off-campus work placement in your third year. (Should no external placement be available, you will be given a project on campus.)

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

Duration

4 years

Next start date

Sept 2018

A Level Grades ()

Average intake

15

Closing Date

Next start date

Sept 2018

NFQ level

Mode of study

ECTS weighting

Award

CAO

GY124

PAC code

Course Outline

Year 1- Arts major  plus:

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

Year 2- Arts major plus:

  • Database Systems
  • Probability 2
  • Statistical Inference
  • Linear Algebra
  • Skills for Work

 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: Study Abroad OR Service Learning OR Work Placement (60 ECTS)

Work placement in Semester 2.

 Year 4- Arts major 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 short supply internationally. 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. a one-year master’s) in data science will be able to apply for data scientist roles.

Who’s Suited to This Course

Learning Outcomes

 

Work Placement

There is a work placement in semester two of year three.

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

Fees: Tuition

Fees: Student levy

Fees: Non EU

Find out More

nick.tosh@nuigalway.ie

School of Humanities (Philosophy)

NUI, Galway

+353 91 5929