Data Science BSc
Dublin City University Campus, Ireland
Bachelor of Science (Honours) in Data Science
Dublin City University
Data Science
Program Overview: BSc in Data Science at Dublin City University
The BSc in Data Science at Dublin City University combines the three key skill sets of computing, mathematics, and enterprise to provide the core knowledge needed to succeed in this rapidly growing field. You will learn to program, study mathematics, and apply these skills to real-world data while communicating results to different audiences.
Developed in close collaboration between DCU, global centres of research excellence such as Insight and ADAPT, and major industry players including Accenture, Intel, and Fidelity, this program ensures a curriculum that is both academically rigorous and industry-relevant. Students engage with real-world problems and data sets through strong industry partnerships throughout the degree.
The program sits at the intersection of computer science, mathematics, and business, enabling you to understand what is possible with cutting-edge technologies such as machine learning and artificial intelligence. A highlight of the degree is the 9-month paid INTRA work placement in Year 3, giving you invaluable professional experience before graduation.
Key Program Highlights
- Industry-developed curriculum created with partners like Accenture, Intel, Fidelity, and research centres Insight and ADAPT
- 9-month paid INTRA work placement in Year 3 with leading data-driven organisations in Ireland and abroad
- Hands-on experience with real-world data sets through unique data science pods in collaboration with enterprises and cultural institutions
- No prior programming experience required as all first-year modules are taught at an introductory level
Curriculum and Modules
The BSc in Data Science curriculum is structured across four years, progressing from foundational programming and mathematics to advanced machine learning and real-world application domains. Students build practical skills alongside theoretical knowledge, culminating in a substantial final year project and specialised elective modules.
Learn programming from first principles using Python and R in Year 1, progressing to advanced data structures, algorithms, and object-oriented programming in Python and Java in Year 2.
Covers foundational and advanced mathematical concepts including linear mathematics, calculus, probability, and statistics essential for data analysis and modelling.
Focuses on techniques for processing, cleaning, and visualising data sets to extract meaningful insights and communicate findings effectively to diverse audiences.
Introduces core machine learning concepts in Year 2, advancing to advanced machine learning, natural language processing, and building complex computational models in Year 4.
Covers data warehousing principles, information retrieval, graph databases, and search technologies for managing and querying large-scale data repositories.
Specialisation and Elective Options
Admission Requirements
Admission to the BSc in Data Science at DCU is competitive and requires a strong academic background, particularly in mathematics. International candidates are expected to hold educational qualifications equivalent to the Irish Leaving Certificate standard. All applications are processed through Uni4Edu, which will guide you through every step of the process.
Academic Requirements
- Secondary EducationCompleted secondary school education with results equivalent to the Irish Leaving Certificate or International Baccalaureate Diploma
- Mathematics RequirementStrong performance in Mathematics at secondary level (minimum H3 in Irish Leaving Certificate or equivalent)
- GPA (US Applicants)High school diploma with a minimum GPA of 3.0 including honours subjects
- Indian ApplicantsStandard XII from a recognised exam board with an average of 80% or above
- Alternative QualificationsApplicants with equivalent international qualifications may be considered for direct entry; contact Uni4Edu for assessment
English Language Requirements
- IELTSOverall score of 6.5 or above, with no less than 6.0 in any one component
- TOEFL iBTTotal score of 92 or above
- PTE AcademicOverall score of 63 with a minimum of 59 in all components
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Dublin City University offers a range of scholarships for international students to help make studying in Ireland more accessible. Non-EU applicants are automatically considered for merit-based scholarships upon application, with no separate scholarship application required. Contact Uni4Edu for guidance on additional funding opportunities.
DCU International Merit Scholarship (Undergraduate)
Up to EUR 2,000 tuition fee reductionAutomatically awarded to high-achieving non-EU applicants based on academic merit assessed from application documents. No separate application is needed; you are considered when you apply for the program through Uni4Edu.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects for Data Science Graduates
Data Science is one of the fastest-growing areas of employment with high-value roles across virtually every industry sector. DCU graduates are highly sought after by employers, and many students are hired by their INTRA placement companies post-graduation. The university has been recognised for its strong graduate employment outcomes.
Potential Career Roles
Where DCU Graduates Work
Rankings and Recognition
Dublin City University has seen consistent improvement in global rankings, reflecting its growing reputation for research quality, teaching excellence, and graduate employability. DCU is recognised as one of Ireland's leading young universities and continues to climb in major international ranking tables.
| Subject | Ranking Body | Rank |
|---|---|---|
| Engineering and Technology | QS World University Rankings by Subject | #451 |
| Computer Science | U.S. News Subject Rankings | Contact Uni4Edu for current data |
| Graduate Employability | QS Graduate Employability Rankings | Top 25 globally (2022) |
| University Impact (SDGs) | THE Impact Rankings | 101-200 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
Similar Programmes
Master's & Postgraduate
12 months
Data Science and its Applications (Medway), MSc
University of Greenwich, London, United Kingdom
Earliest Intake
September 2025
Gross Tuition
18150 £
Bachelor's Degree
36 months
Data Science\t
University of Kent, Canterbury, United Kingdom
Earliest Intake
October 2025
Gross Tuition
19300 £
Bachelor's Degree
48 months
Data Science with a Year in Industry\t
University of Kent, Canterbury, United Kingdom
Earliest Intake
October 2025
Gross Tuition
19300 £
Master's & Postgraduate
12 months
Business Data Analytics
Prifysgol Bangor University, Bangor, United Kingdom
Earliest Intake
May 2026
Gross Tuition
18000 £
Master's & Postgraduate
12 months
Advanced Data Science
Prifysgol Bangor University, Bangor, United Kingdom
Earliest Intake
May 2026
Gross Tuition
18000 £
Uni4Edu AI Assistant
