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1 Year On Campus Masters Program
University College Cork UCCThe MSc in Data Science & Analytics at University College Cork is designed to give you a strong, practical foundation in data-driven thinking, combining computing, statistics, and real-world applications. It is ideal for students who want to build advanced skills in analytics, machine learning, and data interpretation to pursue high-impact careers in today’s data-focused industries.
Curriculum Structure
Year 1 – Core Foundations and Applied Analytics
In the first part of the programme, you will develop essential analytical and computational skills that underpin modern data science. Core modules such as Foundations of Statistical Data Analytics and Datamining strengthen your ability to work with complex datasets, while Deep Learning and Generalised Linear Modelling Techniques introduce advanced modelling and AI concepts. You will also study Database Technology or Introduction to Relational Databases to ensure you can design, manage, and query structured data effectively.
Year 1 – Electives and Specialisation
Alongside the core modules, you can shape your learning through a range of electives that reflect your interests and career goals. Options such as Data Visualization for Analytics Applications, Machine Learning and Statistical Analytics, Optimisation, Information Storage and Retrieval, and Stochastic Decision Science allow you to deepen expertise in areas like AI, decision-making, and visual storytelling with data.
Year 1 – Dissertation Project
The programme concludes with a substantial dissertation project, where you apply your knowledge to an independent research or industry-focused problem. This project helps you develop critical thinking, technical depth, and professional communication skills, giving you strong evidence of your capabilities for employers or further study.
Focus Areas
Data science and analytics, machine learning and artificial intelligence, statistical modelling, data management, computational methods, data visualisation.
Learning Outcomes
Graduates will be able to analyse large and complex datasets, apply advanced statistical and machine learning techniques, design effective analytics solutions, and clearly communicate insights to both technical and non-technical audiences.
Professional Alignment (Accreditation)
This programme is delivered at NFQ Level 9 and follows University College Cork’s academic quality standards, aligning graduates with current industry and research expectations in data science and analytics.
Reputation (Employability Rankings)
University College Cork is internationally recognised for academic quality and graduate employability, with strong links to industry. Graduates from data science and analytics programmes are in high demand across sectors such as technology, finance, healthcare, consulting, and public services.
At University College Cork, the MSc in Data Science & Analytics is designed to be highly practical, ensuring you graduate with real, job-ready skills rather than just theoretical knowledge. Throughout the programme, you gain hands-on experience through structured lab sessions, applied coursework, and an independent dissertation, all supported by UCC’s strong computing infrastructure and research environment. Teaching is closely linked to real analytical practice, so you work with authentic datasets, modern software tools, and problem-solving approaches that mirror professional data science roles. This practical focus is reinforced by the facilities and research culture within the School of Computer Science and Information Technology, helping you build confidence in using data science tools in realistic settings:
Dedicated computing and specialist project labs within the School of Computer Science and Information Technology, equipped to support data analysis, machine learning, database systems, and computational modelling work
Weekly practical lab sessions embedded within core and elective modules, allowing you to apply statistical, machine learning, and data mining concepts directly through coding and data experimentation
Use of professional software environments and digital tools commonly employed in data science, including programming platforms for data analysis, database management systems, and virtual computing environments
A substantial individual dissertation project where you conduct in-depth data analytics or AI-focused research, applying advanced methods to real-world or research-driven problems
Opportunities to engage with research-led teaching connected to UCC’s data analytics research activity, including exposure to work associated with the Insight SFI Research Centre for Data Analytics
Full access to UCC’s extensive library system and digital academic resources, supporting independent study, research, and advanced technical learning throughout the programme
Graduates of the MSc in Data Science & Analytics at University College Cork move into impactful, data-driven careers across a wide range of industries. The programme prepares you for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Specialist, where your ability to turn complex data into clear insights is highly valued by employers:
Dedicated career support at UCC through the Career Development Centre, offering one-to-one career guidance, CV and LinkedIn support, interview preparation, and employer-led careers fairs that specifically support postgraduate students moving into analytics and technology roles
Strong employment outcomes and salary prospects, with graduates typically securing roles shortly after graduation; data science and analytics positions in Ireland are well known for competitive salaries that increase significantly with experience
University–industry engagement through research and collaboration, including strong links to the Insight SFI Research Centre for Data Analytics, which works closely with a wide network of industry partners and exposes students to applied, real-world data challenges
Long-term qualification value, as this programme is delivered at NFQ Level 9, signalling advanced expertise that is recognised by employers and academic institutions in Ireland and internationally
Clear graduate outcomes, with students leaving the programme equipped to analyse large datasets, apply advanced statistical and machine learning techniques, and communicate insights effectively in professional environments
Further Academic Progression:
After completing this MSc, you may choose to progress to doctoral study in data science, artificial intelligence, computer science, or related disciplines. Graduates often continue into PhD research within UCC’s School of Computer Science and Information Technology or through research centres such as Insight, making this programme a strong foundation for a future in research, innovation, or academia.
Second Class Honours Grade I (NFQ Level 8) in Computer Science or a Mathematical Sciences degreeSecond Class Honours Grade I (NFQ Level 8) in a numerate discipline such as Engineering, Finance, Physics, Biosciences, or Economics, with sufficient mathematical content and at least a Second Class Honours Grade II in relevant modulesApplicants who do not meet the standard entry requirements may be considered through Recognition of Prior Learning (RPL) if they hold an NFQ Level 8 degree and have at least five years of relevant, verifiable industry experienceApplicants who do not have a primary degree will only be considered with a minimum of 10 years of verifiable relevant industrial experience.Candidates from Grandes Écoles are also eligible if they are studying a cognate discipline at ENSEA or EFREI and are eligible to progress to the final year (M2) of their programmeShortlisted applicants who do not meet the standard entry requirements may be invited to attend an interview as part of the assessment processEnglish language requirement: IELTS Academic overall score of 6.5 with a minimum of 6.0 in each skill (test centre, online, and one skill retake accepted), or TOEFL iBT overall score of 90 with minimum scores of Listening 20, Reading 19, Speaking 21, and Writing 20 (Home Edition not accepted; MyBest scores accepted).India: A Bachelor of Arts, Science, Commerce, or professional bachelor’s degree with a minimum of 65%, considered equivalent to a Second Class Honours Grade I (2:1).USA: A bachelor’s degree with a minimum CGPA of 3.3 on a 4.0 scale, considered equivalent to a Second Class Honours Grade I (2:1).China: A bachelor’s degree with 80–84% from non-211/985 universities, or 75–79% from 211/985 and Double First Class universities, is considered equivalent to a Second Class Honours Grade I (2:1) for postgraduate programmes.Data ScientistData AnalystSoftware EngineerStatistical ModellerDatabase AdministratorData Warehouse ConsultantBusiness Intelligence ConsultantProject ManagerBusiness AnalystProduct ManagerNet DeveloperSystems AdministratorNetwork EngineerData Analytics ManagerData Architect
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