Data Science and Statistical Learning - MSc Entry requirements
Adapt your quantitative skills to data science and forge a career in ICT, financial services, management consulting, manufacturing and pharmaceuticals.
Key information
EU fees per year
€8,200
Non-EU fees per year
€20,800
NFQ Level
NFQ Level 9 Major
Duration
One year
Attendance
Full-time
Programme type
Taught
Delivery
In-person
Start date
September
Award
Masters (MSc)
Requirements
- Applicants should hold a bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) in Mathematics, Statistics, Physics or a relevant quantitative discipline with a strong mathematical or statistical component.
- You must have and will only be considered if you have a strong foundation in mathematics from a prior programme of study, where they have excelled in their mathematical subjects.
- The university may shortlist and invite you to an interview.
- Previous experience of statistical programming is an advantage but is not required.
International students
For details on country-specific qualifications visit postgraduate entry requirements for international students.
Checklist of documents
- *Academic transcripts and certificates
- UL graduates only need to provide their student ID.
- Copy of your birth certificate or passport
- English translation of your qualifications and transcripts
English language requirements
- English Language Competency certificate
- For details on accepted language qualifications visit English Language Requirements
Guidelines on completing your application
- To make sure we can review your application quickly, please:
- Upload all documents. Your application can’t be reviewed until we have all the documents on the checklist.
- Title the documents you are uploading. For example, "Personal Statement", "Undergraduate Transcript", "Postgraduate Transcript", "English Language Certificate" etc.
- *If you are waiting to graduate, submit your application with the documents you have to date, you don’t need to have finished final exams before applying.