Overview

The Applied Data Science and Analytics programme from Technological University Dublin has gained a significant reputation for its high quality, practical approach and relevance to industry contexts. Modules are designed around a data science methodology, allowing integrated coursework that emphasises both mathematical rigour, and data science models that generate actionable insights.

It is ideal for individuals working with, or with access to, data in a real context that allows project work to bring relevance to their day job. The course has attracted cohorts of students that are highly motivated and work to a high standard. It was shortlisted for Grad Ireland’s Post Grad of the Year awards a number of times. Enrolment numbers are kept small to maintain the quality of the course.

While 83% of our graduates live in Ireland, we have had graduates complete the MSc from Canada, Germany, Greece, India, Malta, Netherlands, South Africa, Thailand, UK, USA and Zimbabwe. The average age of participants is 38, evidencing a teaching practice and delivery mode that successfully targets continuing education and lifelong learning. The majority of students have some experience working with data and are looking to upskill by acquiring a deeper theoretical understanding and practical experience of working in a data science discipline.

What are my career opportunities?

Graduates from this course are equipped for employment in sectors where data analysis is a critical component, such as the insurance, retail, pharmaceutical, biotechnology, business, travel, telecommunication, government, and intelligence sectors.

Following successful completion of this course, graduates have taken up data analytics jobs with Accenture, SAP, FBD Insurance, Deutsche Bank, IBM, Eircom, Emirate airlines and PayPal, while one graduate has started his own analytics consultancy firm. Many students registered on this stream were already working in data analytics, or aim to start a data analytics function with their current employer.

Programme Structure

Courses include:

Business Intelligence

Data Mining Algorithms

Data Pre-processing and Exploration

Data Science Applications

Text Mining and Web Content Mining

Geospatial Data Mining and Knowledge Discovery

Programming for Big Data

Statistics

Multimedia Mining

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2025-09-16 00:00:00
- Apply before 2025-06-28 00:00:00 , International

Language

English

IELTS

6

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TOEFL^® IBT

80

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Credits

90 ECTS

Delivered

Online

Disciplines

Data Science & Big Data Data Analytics View 25 other Masters in Data Analytics in United Kingdom

Academic requirements

GPA

Lower Second Class

English requirements

IELTS

6

Schedule an IELTS test!

TOEFL^® IBT

80

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Other requirements

General requirements

The minimum entry requirement is a Second Class Honours Grade 2 (GPA 2.5 or equivalent), in a NFQ Level 8 Degree in Computing, Science, Engineering, Business with IT, or equivalent qualification.
The acceptance of candidates with Third Class Honours degrees and appropriate work experience and industrial certification on this course will be allowed provided there is evidence that the candidate can cope with the learning objectives of the course.

Tuition Fee

To always see correct tuition fees

International

4250 EUR/year

Tuition Fee

Based on the tuition of 4250 EUR per year during 24 months.
EU/EEA

4250 EUR/year

Tuition Fee

Based on the tuition of 4250 EUR per year during 24 months.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Applied Data Science and Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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