Computing in Big Data Analytics MSc
Donegal Letterkenny Campus, Ireland
Master of Science in Computing in Big Data Analytics
Atlantic Technological University
Computing & Data Analytics
Program Overview: MSc Computing in Big Data Analytics
The Master of Science in Computing in Big Data Analytics at Atlantic Technological University is a one-year full-time or two-year part-time programme delivered at the ATU Letterkenny campus in County Donegal, Ireland. It focuses on the processes involved in examining and interpreting large volumes of diverse data to uncover hidden patterns, unknown correlations, and other valuable insights.
From banking and financial services to retail, healthcare, and life sciences, the opportunities in big data analytics are expanding rapidly. This programme equips you with the technical skills and analytical mindset needed to provide competitive advantage for businesses through more effective marketing, increased revenue, and data-driven decision-making.
Graduates of this programme are well-positioned to pursue careers in companies running large database systems, the payment card industry, financial services, and a wide range of data-intensive sectors. The programme also provides a pathway to Level 10 doctoral studies at ATU or other institutions worldwide.
Key Program Highlights
- Hands-on, applied learning with modern tools including Python, R, Hadoop, Spark, and cloud platforms
- Flexible delivery with full-time (1 year) and part-time (2 year) study options available
- 100% continuous assessment for the majority of modules, supporting practical skill development
- Strong industry connections across finance, healthcare, retail, logistics, and technology sectors
Curriculum & Modules
The MSc in Computing in Big Data Analytics comprises core taught modules and a substantial research dissertation, totalling 90 ECTS credits. The curriculum is designed to build expertise across data analytics, statistical methods, and big data technologies, with the majority of modules assessed through continuous assessment.
Big Data Analytics
Core ModuleCovers the principles and practices of analysing large-scale datasets, including techniques for data mining, pattern recognition, and extracting actionable insights from complex data sources.
Machine Learning
Core ModuleExplores supervised and unsupervised learning algorithms, model evaluation, and the application of machine learning techniques to real-world data problems across various industries.
Mathematics for Analytics
Core ModuleProvides the essential mathematical foundations underpinning data analytics, including statistics, probability, linear algebra, and optimisation methods used in analytical modelling.
Big Data Architecture
Core ModuleFocuses on the design and implementation of scalable big data systems, covering distributed computing frameworks, data storage solutions, and cloud-based infrastructure for processing large datasets.
Data Visualisation and Communication
Core ModuleDevelops skills in presenting complex analytical findings through effective data visualisation techniques and clear communication strategies for both technical and non-technical audiences.
Dissertation
Core ModuleA substantial independent research project where you apply the knowledge and skills acquired throughout the programme to investigate a real-world big data analytics problem in depth.
Elective & Specialisation Options
Admission Requirements
Entry to the MSc in Computing in Big Data Analytics is open to graduates with a strong foundation in computing or a related discipline. ATU also recognises prior professional experience through its Recognition of Prior Learning (RPL) pathway. All applications are processed through Uni4Edu.
Academic Requirements
- Primary QualificationLevel 8 Honours Degree in Computing, or equivalent, with a minimum of second class honours (2.2)
- Alternative QualificationHigher Diploma in Computing (Conversion Course into Computing)
- Non-Computing ApplicantsMinimum of 30 ECTS credits in Computing or Computing-related modules, or relevant computer industry experience
- Recognition of Prior LearningApplicants without an honours degree but with relevant professional experience may apply via the RPL pathway
- Bridging CourseA one-week bridging course may be available for applicants who need to supplement their background knowledge
English Language Requirements
- IELTSMinimum overall score of 6.0 (with no band below 5.5) or equivalent — contact Uni4Edu for current requirements
- TOEFL iBTMinimum score of 72 or equivalent — contact Uni4Edu for current requirements
- PTE AcademicMinimum score of 52 or equivalent — contact Uni4Edu for current requirements
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
Atlantic Technological University and the Government of Ireland offer a range of funding opportunities for international postgraduate students. Contact Uni4Edu for guidance on eligibility and application procedures for the scholarships below and other available funding.
Government of Ireland International Education Scholarship (GOI-IES)
Full tuition, fees, and stipend for one yearA prestigious national scholarship awarding 60 places annually to high-calibre students from non-EU/EEA countries for one year of full-time postgraduate study at NFQ Level 9 or 10 in any field of study.
ATU Alumni Postgraduate Fee Reduction
20% reduction in academic feesATU alumni who return to pursue a taught Level 9 master's degree are eligible for a 20% reduction in academic fees as part of the university's alumni benefits programme.
ATU Sports Scholarship Programme
Up to EUR 3,000Provides financial and non-financial support to talented student athletes who need to balance sporting and academic commitments, open to full-time students across all ATU campuses.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MSc in Computing in Big Data Analytics are highly sought after across a wide range of industries. The programme's applied focus and strong industry connections ensure that you develop the practical skills employers demand in the rapidly growing field of data analytics.
Typical Graduate Roles
Key Employment Sectors & Employers
Rankings & Recognition
Atlantic Technological University is one of Ireland's newest technological universities, established in April 2022 through the merger of Galway-Mayo Institute of Technology, IT Sligo, and Letterkenny Institute of Technology. As a newer institution, ATU is building its profile in global rankings while already demonstrating research excellence in specific disciplines.
| Subject | Ranking Body | Rank |
|---|---|---|
| Marine Pollution Research | ScholarGPS | #3 Globally / #1 in Ireland |
| Computing & Data Science | National (Ireland) | Contact Uni4Edu for current data |
| Engineering & Technology | SCImago | Contact Uni4Edu for current data |
| Environmental Sciences | SCImago | Contact Uni4Edu for current data |
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.
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