Master of Science (MSc) in Data Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Master of Science (MSc) in Data Analytics at Dublin Business School is designed for individuals seeking to master the skills essential for navigating the data-driven landscape of modern industries. As businesses increasingly rely on statistical analysis, machine learning, and data visualisation to drive decision-making, this programme equips you with the expertise to unlock valuable insights from complex datasets. You will explore the intersection of technology, programming, and analytical context, preparing you for a dynamic career in the ever-expanding field of data analytics. This postgraduate degree is ideal for those with a background in science, technology, or mathematics who wish to specialise in this critical area.

This full-time, on-campus MSc is delivered over one year, immersing you in core subjects such as Programming for Data Analysis, Statistics for Data Analytics, and Machine Learning & Pattern Recognition. You will engage with advanced topics like Data Storage Solutions and Data Visualisation, culminating in an Applied Research Project in your final semester. Throughout the course, you will develop a portfolio of work demonstrating your ability to meet business intelligence goals. Upon graduation, you will be prepared for roles as data analysts, data scientists, and business intelligence specialists in diverse sectors.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Master of Science in Data Analytics program equips students with essential skills for extracting insights from data. The curriculum covers foundational topics such as programming for data analysis and statistics, alongside advanced areas like machine learning, data mining, and data visualization. Students will also explore data storage solutions and research methodologies, culminating in an applied research project to demonstrate their mastery.

1 Semester 1

Programming for Data Analysis
Statistics for Data Analytics
Machine Learning & Pattern Recognition

2 Semester 2

Advanced Data and Network Mining
Data Storage Solutions for Data Analytics
Data Visualisation
Applied Research Methods

3 Semester 3

Applied Research Project

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 18,321.00
Total Program Cost Estimated total tuition
USD 18,321.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 349.00 - USD 849.00
Food & Groceries USD 3,930.00 - USD 5,613.00
Transport USD 842.00 - USD 1,965.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 6,176.00 - USD 9,683.00

Living cost estimates are based on Aungier Street Campus.

Outcomes & Employability

What happens after you graduate

78%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Creative Production & Project ManagementDevOps & Site Reliability EngineeringDigital MarketingEconomic Research & PolicyFintech & Mobile MoneyMarket Research & InsightsPrivate Equity & Venture CapitalQuality Assurance & TestingTax & Legal ComplianceWealth Management & Financial Advisory

Top Employers Hiring for this course

Accenture

Amazon Web Services

Covalen

Google

Microsoft

Saleforce

Why Study Master of Science (MSc) in Data Analytics at Dublin Business School

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at Dublin Business School in Ireland

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Science (MSc) in Data Analytics at Dublin Business School

Can I work while studying?

International students can work up to 20 hours per week during term time and 40 hours during breaks in Ireland. No separate work permit is needed, but students must be enrolled in a full-time program.

What English language score do I need for this course?

For English language requirements, Duolingo scores must be at least 105 for comprehension, conversation, literacy, and production. Alternatively, IELTS scores require an overall score of 6.0 with no sub-score below 5.5.

What jobs can I get after studying this course?

Graduates can pursue career paths such as Data Analyst, Machine Learning Engineer, Data Scientist, Business Intelligence Analyst, and Software Developer.

What will I actually study in this course?

This MSc in Data Analytics covers key areas such as statistical analysis and machine learning, tailored to meet the demand for data science skills. The program prepares students for roles that integrate data and analytics across various industries.

When can I start — what are the intake months?

The Master of Science in Data Analytics program has an intake every September. If you're planning to apply, make sure to submit your application before the deadline.
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