Overview
Data Analytics is offered by Dundalk Institute of Technology. This Master of Science in Data Analytics is a one-year full-time or two-year part-time Level 9 programme primarily aimed at students with strong numeracy skills who wish to extend their skillset to a more advanced level of theoretical knowledge and practice and to further develop their research capabilities and innovation skills in the area of Data Analytics.
Key Facts
The aim of this programme is to produce highly-skilled graduates with expertise that cuts across the core disciplines of Mathematics, Statistics and Computer Science. It emphasises the critical connection from data to information, from information to knowledge, and from knowledge to decision making, encompassed in the Data-Lifecycle. The educational aim is to develop students' analytical, critical thinking, problem-solving and communication skills and to foster their research capabilities and innovation skills in the area of Data Analytics. The primary aim is to develop expert knowledge in aspects of data required to become highly-skilled Data Analysts: with modules in Statistics, Data Visualisation, Time Series, Data Architecture, Machine Learning, Statistical Programming and Ethics in Data. These career paths can take place in many different sectors and industries including areas such as research; academia; business; finance; banking; healthcare; pharmaceuticals; commercialism; and technology. Graduates from MSc in Data Analytics can find Industry roles such as Data Analyst, Data Scientist, Data Engineer, Data Architect, Business Data Analyst, Data Visualisation developer and Statistician.
Programme Structure
Courses include:
- Data Architecture
- Statistics
- Programming for Data Analytics
- Research Process for Data Analytics
- Time Series Analysis
- Machine Learning
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Dundalk, Ireland
Disciplines
Data Analytics View 47 other Masters in Data Analytics in IrelandWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Completed application form
- Academic transcripts
- IELTS (or equivalent) transcripts
- Passport copy
- The standard minimum entry requirement is a 2.2 Honours Degree (NFQ Level 8) or equivalent in the area of Mathematics, Statistics, Computing, Engineering, Science or equivalent qualification in a cognate discipline, which included a minimum of 15 credits in Mathematics and Statistics and 10 credits of programming centric modules. The Higher Diploma in Science in Data Analytics Level 8 award is seen as an entry route to this programme.
- Grade B2 equivalent on CEFR (Common European Framework of Reference for Languages) OR have achieved IELTS 6.5 (or internationally-recognised equivalent). Where an applicant demonstrates evidence of having attained his/her Bachelor Degree through instruction in the English language, a grade of 6.0 may be accepted for admission to a STEM programme.
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Tuition Fees
-
International Applies to you
Applies to youNon-residents12000 EUR / year≈ 12000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals6950 EUR / year≈ 6950 EUR / year
Living costs
Dundalk
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics.
Available Scholarships
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