Master of Science in Computing in Big Data Analytics and Artificial Intelligence

1 Year On Campus Masters Program

Atlantic Technological University - Donegal Letterkenny Campus

Program Overview

The Master of Science in Computing in Big Data Analytics and Artificial Intelligence at Atlantic Technological University is a forward-looking postgraduate degree that equips students with the skills to work with large-scale data and build intelligent, data-driven systems. It is well suited to computing and related graduates who want to move into in-demand roles in data analytics, machine learning, and artificial intelligence across a wide range of industries.

Curriculum Structure

Year 1 (Full-Time) / Early Stage of the Programme
In the first stage of the programme, students develop a strong technical foundation through modules such as Mathematics for Analytics, Principles of Artificial Intelligence, and Machine Learning. These subjects introduce core concepts in statistical analysis, intelligent systems, and predictive modelling, ensuring students understand how data and algorithms are used to solve real-world problems.

As the programme progresses, students study Big Data Analytics and Big Data Architecture, focusing on how large datasets are stored, processed, and analysed efficiently. Advanced modules such as Artificial Intelligence for Vision and Natural Language Processing allow students to apply AI techniques to image data and human language, reflecting real industry use cases.

Final Stage
In the final stage, students complete a substantial research project or dissertation, applying their knowledge of big data and AI to a practical or research-driven problem. This project strengthens problem-solving, independent research, and professional-level technical skills, preparing graduates for both industry roles and further academic research.

Focus Areas (in a string)

Big data analytics, machine learning, artificial intelligence, data architecture, computer vision, natural language processing

Learning Outcomes (in a string)

Ability to analyse complex datasets, design and implement AI-based solutions, apply machine learning models effectively, develop scalable data systems, and critically evaluate data-driven technologies

Professional Alignment (Accreditation)

This programme is awarded as a Level 9 Master’s degree on Ireland’s National Framework of Qualifications by Atlantic Technological University.

Reputation (Employability Rankings)

Atlantic Technological University is recognised for its applied, industry-focused computing programmes, and graduates of this MSc are well aligned with employer demand in areas such as data science, artificial intelligence, and advanced analytics in Ireland and internationally.

Experiential Learning (Research, Projects, Internships etc.)

At Atlantic Technological University, your learning goes far beyond lectures. You’ll gain hands-on experience with real data, modern computing tools, and research environments that prepare you to work confidently in industry and research settings. The programme emphasises practical application, giving you access to advanced computing facilities and technologies used in big data analytics and artificial intelligence workflows. You also have the opportunity to connect your coursework with applied research and industry needs, making your learning highly relevant to employers.

Students can take part in research projects and collaborative activities, allowing them to work with cutting-edge AI, machine learning, and high-performance computing systems while building practical skills that directly translate to professional roles. Experiential learning in this programme includes:

State-of-the-art computing labs where students use programming languages such as Python and tools for big data processing and machine learning in practical, hands-on settings.
Engagement with research groups such as the JANUS Research Group, specialising in AI, natural language processing, computer vision, and high-performance computing.
Collaborative, project-based activities that simulate real-world analytical challenges, including data ingestion, processing, and analytics workflows.
Opportunities to explore applied research through facilities like the Wireless Sensor Applied Research (WiSAR) Technology Gateway, where AI and edge computing intersect with real data applications.
Access to modern campus resources including laboratories, computer suites, and libraries across ATU locations, providing the space and technology to explore, experiment, and develop professional skills.

Progression & Future Opportunities

Graduates of the Master of Science in Computing in Big Data Analytics and Artificial Intelligence at Atlantic Technological University are well-prepared for highly technical and impactful careers. Typical roles include Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and AI/Data Analytics Consultant, with opportunities across sectors such as healthcare, finance, energy, and retail:

Career Development Support: ATU’s Career Development Centre offers personalised employment guidance, CV and interview clinics, networking events, and access to employer fairs that connect students with recruiters. The careers portal also provides job alerts and helps students prepare for interviews and workplace expectations.
Employment Outcomes & Salary Figures: Graduates report strong employment outcomes, with a high percentage finding relevant positions or progressing to further study within six months of graduation. Postgraduate IT graduates often start with competitive salary ranges that reflect current industry demand.
University–Industry Partnerships: ATU maintains strong links with technology companies and regional employers, helping students access internships, placements, and graduate opportunities aligned with big data and AI careers.
Accreditation Value: The MSc is recognised at Level 9 on the Irish National Framework of Qualifications, providing long-term credibility both in Europe and internationally, especially in the growing fields of data analytics and artificial intelligence.
Graduate Outcomes: Completion of the programme opens doors to roles such as Data Analyst, AI Engineer, Data Engineer, and Business Intelligence Analyst in companies that require experts capable of interpreting large datasets and building intelligent systems.

Further Academic Progression:
Students who wish to continue their studies after this MSc can pursue research degrees such as a PhD in Computing, Data Science, or Artificial Intelligence at ATU or other universities, specialising in areas like machine learning theory, advanced analytics, or human-centred AI. The MSc also provides a strong foundation for professional certifications or doctoral-level study, enhancing both research credentials and career prospects in academia or high-level industry research.