Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Next Intake TBA

Course Overview

The Data Science Bachelors Degree at Dublin City University is designed for students who are passionate about uncovering insights from complex information and driving innovation through data. This interdisciplinary field, sitting at the intersection of computer science, mathematics, and statistics, is crucial for understanding and leveraging the power of modern technologies like machine learning and artificial intelligence. If you enjoy creative problem-solving, analytical thinking, and collaborative work, this course provides the foundational knowledge and practical skills to excel in a data-driven world. You will develop a robust understanding of data science principles and their applications across various domains.

You will study this full-time, on-campus programme over four years, gaining hands-on experience through modules in computer programming, data warehousing, machine learning, and natural language technologies. A distinctive feature of your academic journey is the eight-month paid INTRA work experience in your third year, offering invaluable professional exposure. You will also have the opportunity to study abroad, broadening your global perspective. Upon graduation, you will be well-prepared for diverse career paths as a data scientist, data engineer, or AI specialist in virtually any industry, equipped with the analytical and computational expertise employers actively seek.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in data science, covering essential areas such as computer systems, programming, and mathematics in the initial years. Students will delve into data warehousing, machine learning, and data processing, with opportunities for practical application through an eight-month work experience. The curriculum culminates in advanced topics like natural language technologies and complex computational modeling, alongside a final year project to synthesize learned skills.

1 Year 1

Computer Systems
Computer Programming I
Computer Programming II
Data Science and Databases
Introduction to R
Linear Mathematics I
Linear Mathematics II
Probability 1
Calculus and its Applications

2 Year 2

Developing Internet Applications
Computer Programming 3 (Data Structure & Algebra)
Computer Programming 4 (Object Oriented Prog)
Data Warehousing and OLAP
Introduction to Machine Learning
Data Processing and Visualisation
Programming for Data Analysis
Calculus of Several Variables
Statistics I
Statistics II

3 Year 3

INTRA (8 month paid work experience)

4 Optional Modules

Data Exploration Using Graph Theory
Application Domains 1
Software Eng: Building Better Software
Professional & Research Practice for Data Sci
Search Technologies
SEMESTER ONE ABROAD

5 Year 4

Advanced Machine Learning
Application Domains 2
Final Year Project
Data at Speed and Scale
Natural Language Technologies
Building Complex Computational Models
Applications Domains 3

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 21,057.00
Second Year Fee Tuition fee
USD 21,057.00
Third Year Fee Tuition fee
USD 21,057.00
Fourth Year Fee Tuition fee
USD 21,057.00
Total Program Cost Estimated total tuition
USD 84,228.00

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 Glasnevin Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Blockchain & Emerging TechnologiesBroadband & Internet ServicesClinical & Medical ServicesCorporate Training & DevelopmentDigital MarketingEducational Support ServicesMarketing Analytics & Data ManagementPublic RelationsQuality Assurance & TestingSatellite Communications

Top Employers Hiring for this course

Bank of Ireland

Deloitte

Department of Education and Youth

Dublin City University

EY

Fidelity Investments

Hubspot

IBM

Why Study Data Science at Dublin City University

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 City University 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 Data Science at Dublin City University

Can I work while studying?

International students can work up to 20 hours per week during term time and 40 hours per week during breaks. No separate work permit is needed as long as you're enrolled full-time.

Is this qualification recognised internationally?

Yes. This course is accredited by N/A.

What English language score do I need for this course?

For English proficiency, you can take the Duolingo test with specific score requirements across comprehension, conversation, and overall. Alternatively, IELTS and PTE scores are also accepted, each with their own minimum requirements.

What jobs can I get after studying this course?

Career opportunities include data scientists, data engineers, AI data scientists, data analysts, and machine learning specialists.

What will I actually study in this course?

This course intersects computer science, maths, and business, teaching programming skills and advanced maths. You'll also learn to communicate insights effectively to various audiences.

When can I start — what are the intake months?

The Data Science course intake is in September. Be sure to prepare your application ahead of this month.
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