Master of Science (MSc) in Data Analytics (Online)*

  • Overview
  • Course Content
  • Structure
  • Career Opportunities
  • Fees
  • Next Steps

Overview of MSc in Data Analytics (Online) 

Data is no longer a by-product of business. It's the raw material decisions are made from. Organisations across every sector are generating more of it than they can make sense of - and the demand for people who can is outpacing supply.

This programme is for graduates and professionals who want to work at the technical and strategic heart of that challenge. Whether you're coming from a computing, engineering, science, or analytics background, the MSc in Data Analytics at Dublin Business School builds the advanced skills to move you into roles where data-driven decisions drive the strategy of your organisation.

It's fully online and designed for people who need to keep working while they study.* 

Who is this programme for

This master's 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.

The online format means you won't need to step back from your career to complete it.

Entry 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
 
A Level 8 higher diploma with a minimum 2.2 in a cognate area is also accepted. Applicants with a 2.2 Level 8 degree in a non-cognate discipline may also be considered with three to five years of relevant professional experience - these applications are assessed individually.

Due to the mathematical nature of the programme, all applicants must demonstrate sufficient competency in mathematics, equivalent to a minimum of 10 ECTS in mathematics or statistics within their primary degree, acquired within the last ten years.

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.

*Subject to validation.

FAQ

What are the entry requirements for the online MSc in Data Analytics?

To apply for the online MSc in Data Analytics, you typically need a Level 8 honours bachelor’s degree (2.2 or higher) in a relevant discipline such as computer science, engineering, mathematics or data analytics. Applicants with a non-cognate degree may be considered if they have 3–5 years of relevant professional experience. You must also demonstrate sufficient mathematical competency and meet English language requirements where applicable.

Can I study this MSc in Data Analytics while working?

Yes, this online MSc in Data Analytics is designed for working professionals. The flexible structure allows you to balance study with your career through a combination of self-paced learning and scheduled live sessions.

Do I need a technical background to apply for this programme?

A technical or analytical background is recommended, particularly in areas such as computing, engineering, mathematics or statistics. However, applicants with relevant work experience in data-related roles may also be considered.

What skills will I gain from an online MSc in Data Analytics?

You will develop advanced skills in data science, machine learning, statistical analysis and data visualisation. These skills are in high demand across industries including technology, finance and consulting.

 

What you'll develop

The programme builds capability across four areas that define high-level data analytics practice.

●    Technical proficiency - from the foundations of programming for analytics through to applied machine learning and AI, you'll develop the hands-on skills to gather, process, analyse, and visualise complex data sets.

●    Statistical and analytical depth - dedicated modules in statistics and machine learning and pattern recognition give you the rigorous methodological grounding that separates data analysts from data scientists.

●    Applied expertise - modules in Applied Machine Learning and AI, Data Storage Solutions, and Data Visualisation take your skills into the real-world contexts where they'll be used.

●    Research capability - two research methods modules develop the independent inquiry and evidence-based problem-solving skills required for senior roles and further study.
 

Modules

The programme is 90 ECTS, delivered across four taught semesters followed by a final capstone project.

Number

Module Name

Semester

1

Programming for Analytics

1

2

Statistics for Data Analytics

1

3

Machine Learning & Pattern Recognition

2

4

Research Methods

2

5

Applied Machine Learning and AI

3

6

Data Storage Solutions for Data Analytics

4

7

Data Visualisation

3

8

Applied Research Methods

4

9

Applied Research Project / Dissertation (elective)

5


The capstone (25 ECTS) gives you a choice of two paths: an Applied Research Project, where you develop and implement a practical, industry-focused solution, or a traditional Dissertation. Both are designed to develop independent research and problem-solving skills grounded in your chosen area of the field.

 

How it's delivered

Teaching combines live, scheduled online sessions with self-paced content you work through in your own time. The split varies by module credit weight - 5 ECTS modules typically involve four live sessions of 1.5 hours supported by eight asynchronous sessions of equivalent length; 10 ECTS modules scale proportionally. The programme is structured so you can maintain your professional commitments alongside your studies.
 
You'll need a laptop or desktop computer with a supported Windows operating system, 8GB RAM, and a reliable internet connection.

 

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.

Fees

The fee for the full programme is €8,000.

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. Our Admissions Team can walk you through the options available to you.

All QQI accredited programmes of education and training of 3 months or longer duration offered by Dublin Business School (DBS) are covered by arrangements under section 65 (4) (b) of the Qualifications and Quality Assurance (Education and Training) Act 2012 whereby in the event that DBS ceases to provide the programme, for any reason, after learners have started on that programme, Kaplan Inc., as guarantor, will refund the moneys most recently paid by or for the learner.   More details are included in the terms and conditions of learner admission to DBS (https://www.dbs.ie/terms-and-conditions) and on programme handbooks provided at induction.

 

Next Steps 

Our Virtual Open Days are a good way to get your questions answered before you apply. You'll speak directly with academics from the programme and the admissions team.

EU applicants should complete the online application form and submit the following:

●    Academic transcripts (with certified English translation where applicable)

●    Proof of identification

●    Curriculum Vitae

●    Proof of English proficiency where required

Non-EU applicants resident in Ireland should also include a copy of their GNIB Card, work permit if applicable, and Passport.

International applicants outside Ireland should contact the DBS International Admissions Office directly.

Advanced entry to any stage of the programme is not permitted.

Categories:
  • Postgraduate Programmes
  • Online
  • Information Technology
  • DBS Online
  • Computing
  • Business
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Course overview

Awarding Body: 
Quality & Qualifications Ireland (QQI)
QQI AWARD LOGO (1)
Award: Masters Degree
NFQ Level: 
Level 9
Award Title: Master of Science (MSc) in Data Analytics (Online)
Award Type: Major
Duration:
Online, Part-time: 2 Years
Next Intakes:

September 2026
January 2027

Contact Us

Email: admissions@dbs.ie
Phone: 01 417 7500
Opening times:
Monday to Friday
8:45am to 5:15pm