Applied Data Science & Analytics - Blanchardstown

What is... Applied Data Science & Analytics?

Since its launch in 2010, TU Dublin’s MSc in Applied Data Science and Analytics has run part-time and fully online, the first in Europe to do so at its inception. This immersive and transformative 2 year MSc is designed to accelerate your career in data science while fitting with a busy schedule.



Key Points:

- Geared towards professionals

- High completion rates

- High likelihood of peer-reviewed publications from course work

- International network of students

- Alumni network working in senior data science roles



The course 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.



Graduates are working as data scientists across a variety of industry sectors and companies including Ericsson, IBM, Microsoft, PayPal, Intel, O2, Vodafone, Aer Lingus, Ryanair, Emirate Airlines, Dublin Airport Authority, GlaxoSmithKline, Mallon Technologies, Bank of Scotland, Arvato Finance Solutions, Sky Ireland, Eir, VHI Healthcare, United Healthcare Group, Accenture, SAP, FBD Insurance, Deutsche Bank, Ulster Bank, IBM and many others. Those working in the public sector included employees with MABS, GMS Payments Board, Dun Laoghaire – Rathdown Public Library Service, Dublin City Council, Intelligent Transport Systems, Higher Education Institutions and An Garda Síochána.



The course focuses on the knowledge and skills to select, apply and evaluate data science and big data analytics techniques to discover knowledge that can add value to a company. Students will gain both an in-depth theoretical understanding and practical hands-on experience, including implementing novel and emerging techniques. Participants will be kept abreast of current research and state of the art in data science-related topics.

Year 1 Semester 1

Business Intelligence

Data Mining Algorithms



Year 1 Semester 2

Data Pre-processing and Exploration

Data Science Applications



Year 2 Semester 3

Electives:

- Text Mining and Web Content Mining

- Geospatial Data Mining and Knowledge Discovery

- Programming for Big Data

- Statistics

- Multimedia Mining



* Two electives must be selected



Year 2 Semester 4

MSc Research Project

Minimum Entry 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.



Applicants will be requested to submit the following information to enable us score and rank applicants in order of merit.



- A Curriculum Vitae



- Copy of your level 8 award, transcripts for each year showing modules studied and classification of the award. Where transcripts are not in English, you must provide a copy of the original language documents and certified English translations.



- You will also be asked to answer five questions relating to your experience in working with data, statistics, interest in the course etc. We will email the template for completion on receipt of your online application.



- If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6.5 overall (or equivalent).

How to Apply

Applications will open in February 2025



Non-EU Students

Non-EU students, not resident in Ireland, may only apply for part-time programs that are exclusively offered online, applications for courses that require on-campus attendance will not be processed and the application fee will not be refunded. Applications for exclusively online courses can be made under the following guidelines:



Standard Part-Time Rate: Non-EU students can apply and pay tuition fees at the standard part-time rate for the chosen program.



No Student Visa Required: Non-EU students applying for 100% online part-time courses do not require a student visa for Ireland.



No Residency Status Needed: Applicants do not need to possess any residency status in Ireland to be eligible for online programs as there is no requirement to travel to Ireland.

2 years part-time online delivery.



Schedule

Online Year 1: Tuesday and Wednesday 6pm-9pm

Online Year 2: Monday and Wednesday 6pm-9pm



All classes are recorded.

Commencement Date: September 2025.

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.



Former students come from a variety of industry sectors and companies including:

Ericsson

IBM

Microsoft

PayPal

Intel

O2

Vodafone

Aer Lingus

Ryanair

Dublin Airport Authority

GlaxoSmithKline

Mallon Technologies

Bank of Scotland

Arvato Finance Solutions

Samba Financial Group (India)

Sky Ireland

VHI Healthcare

United Healthcare Group

Nathean Technologies

Compass Informatics

MTT