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Arts with Data Science
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
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
Who’s Suited to This Course
Learning Outcomes
