Overview
The Data Analytics (Online) course from Dublin Business School builds the advanced skills to move you into roles where data-driven decisions drive the strategy of your organisation.
This programme suits you if you have a technical or analytical background and want to develop specialist expertise in data science, machine learning, and applied analytics. It's particularly well suited to graduates in computer science, engineering, mathematics, statistics, or information systems, as well as professionals already working with data who want the postgraduate qualification and advanced capability to move into more senior roles.
Career opportunities:
Graduates of the MSc in Data Analytics are positioned for roles in one of the fastest-growing professional fields in Ireland and internationally. Common destinations include:
Data Analytics Specialist
Data Scientist
Data Engineer
Machine Learning Engineer
Business Intelligence Analyst
These roles are in demand across financial services, technology, healthcare, retail, and the public sector - anywhere organisations are using data to inform strategy and operations. Beyond these entry points, the programme's emphasis on strategic decision-making, leadership, and applied research positions graduates well for senior roles involving complex problem-solving, organisational change, and data strategy at executive level.
Programme Structure
Courses include:
Statistics for Data Analytics
Machine Learning & Pattern Recognition
Applied Machine Learning and Al
Data Storage Solutions for Data Analytics
Data Visualisation
Applied Research Methods
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
Language
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
Credits
Delivered
Campus Location
- Dublin, Ireland
Disciplines
Data Analytics View 10 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
The minimum entry requirement is a Level 8 honours bachelor's degree with a Second Class Honours Grade 2 (2.2) award or above in a cognate discipline. Cognate subjects include:
Computer Science
Data Science or Data Analytics
Mathematics or Statistics
Engineering
Information Systems or Networking
General Science or Technology
If English is not your first language and your undergraduate degree was not taught in English, you'll also need to provide:
Evidence of B2+ proficiency on the Common European Framework of Reference for Languages
A recognised test certificate (IELTS, TOEFL, or equivalent) dated within the last two years
Non-EU applicants living outside Ireland should apply directly to the DBS International Admissions Office.
Tuition Fees
-
International Applies to you
Applies to youNon-residents4000 EUR / year≈ 4000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals4000 EUR / year≈ 4000 EUR / year
Additional Details
If you're an Irish income tax payer, tax relief is available at the standard rate of 20% on fees above €1,500 and up to €7,000.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility