Master of Science in Computing in Big Data Analytics

1 Year On Campus Masters Program

Atlantic Technological University - Donegal Letterkenny Campus

Program Overview

The Master of Science in Computing in Big Data Analytics at Atlantic Technological University equips you with the skills to uncover patterns in massive data sets using advanced analytical tools and techniques, preparing you to tackle real-world challenges across industries such as finance, healthcare, and retail. This programme is perfect for students passionate about data science, programming, and statistical modelling, combining theoretical foundations with hands-on experience to make you job-ready.

Curriculum structure

Year 1 (Full-Time or Part-Time Option)
In the first year, you’ll build a strong foundation in the technical and analytical skills needed for big data work. You will study Mathematics for Analytics to strengthen your quantitative reasoning, explore Big Data Architecture to understand systems that store and process large volumes of data, and develop practical skills in Big Data Analytics, learning to interpret complex datasets. You’ll also gain hands-on experience with Machine Learning and Data Science, applying algorithms and statistical techniques to real-world problems.

Capstone/Dissertation Experience
At the end of the programme, you will complete a Dissertation project that allows you to apply your learning to a substantial independent research or applied project. This experience gives you the opportunity to work on a real problem, showcase your skills, and create a portfolio piece that demonstrates your readiness for the workplace.

Focus areas

Big data systems and architecture, statistical modelling and analytics, machine learning techniques, practical data handling with tools and platforms, real data project experience.

Learning outcomes

Graduates will be able to interpret large datasets, apply analytical techniques to uncover insights, build predictive models with machine learning, design scalable data systems, and communicate findings to both technical and non-technical audiences.

Professional alignment (accreditation)

This is a Level 9 Master’s degree awarded by Atlantic Technological University, recognised within the Irish National Framework of Qualifications and respected across Europe for postgraduate computing and analytics studies.

Reputation (employability rankings)

ATU’s computing and technology programmes are closely aligned with industry needs in Ireland’s growing tech sector. Graduates leave equipped with skills in high demand by employers hiring data analysts, data scientists, and other analytics specialists.

Experiential Learning (Research, Projects, Internships etc.)

In the MSc in Computing in Big Data Analytics at Atlantic Technological University, you won’t just study theory — you’ll gain hands-on experience applying your skills to real-world problems. The programme uses dedicated computing labs, research supports, and student services to help you develop both technical and professional expertise. Through project work embedded in modules such as Big Data Analytics, Machine Learning, and Big Data Architecture, you’ll regularly tackle exercises and assignments that mirror the challenges faced by data professionals.

Your experiential learning will include:

Working with industry-standard computing systems and software in lecture labs, where you develop code, analyse datasets, and run analytics models.
Accessing ATU library services, with extensive digital and print resources to support research in data science, machine learning, and computing topics.
Participating in project-based assignments that involve collaboration with classmates to solve analytics problems and generate actionable insights.
Receiving support from IT services, ensuring you have the technical tools and guidance you need for both coursework and research.
Learning in specialised teaching and research facilities, including lecture halls, computing labs, and study spaces designed specifically for postgraduate computing education.

For a full overview of the facilities that support your learning at ATU, you can view the university’s facilities information on their website.

Progression & Future Opportunities

Graduates from the Master of Science in Computing in Big Data Analytics move into rewarding careers where they apply their analytical and computing skills to solve real-world problems, helping organisations make smarter, data-driven decisions. This programme prepares you for high-demand roles such as data analyst, data scientist, business intelligence analyst, and data engineer. With expertise in machine learning, predictive analytics, and big data systems, you’ll be equipped to contribute to industries like finance, healthcare, and technology:

Career Development Centre support — ATU’s Careers and Employability Service provides personalised guidance, including CV and interview preparation, access to job boards and recruitment events, and advice on professional permits and work rights, helping you transition confidently from study to career.
Employment outcomes and salary potential — Many graduates secure employment or further study soon after completing the programme, with starting salaries for taught postgraduate roles in data analytics and computing typically ranging from €40,000 to €55,000.
Industry connections — ATU has strong links with regional businesses and multinational employers, giving students opportunities for internships, placements, and networking that can lead directly to graduate roles.
Accreditation value and long-term recognition — This Level 9 master’s degree is recognised within the Irish National Framework of Qualifications and respected across Europe, providing credibility with employers and academic institutions alike.
Graduate destinations — Alumni go on to impactful roles in sectors where data skills are essential, contributing to innovation and growth in both local and international companies.

Further Academic Progression:
After completing this master’s, you could continue your studies by pursuing a doctoral (PhD) programme in areas such as data science, machine learning, or artificial intelligence. This is an excellent pathway if you are interested in research careers or specialised technical leadership, allowing you to engage in advanced research projects and deepen your expertise in cutting-edge computing disciplines.