MSc in Data Science

Key points

  • Work permit while you study

  • Post Graduation Work Permit for 24 months

  • Starting dates: September

  • Duration: 1 year

  • Level 9 Qualification

  • Type: Full Time
  • Hours: Daytime
  • Enrollment Fee: From € 11,250 / year

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The MSc in Data Science NFQ Level 9 course provides students with a comprehensive knowledge base and skill set to fulfill and succeed in a variety of roles within data science-driven organizations.

The course is designed to meet current industry needs and provides students with a comprehensive theoretical and practical foundation in the analysis and utilization of large data sets, along with experience in conducting data science development projects, thus preparing graduates for positions of responsibility in Big Data. and IT industries.

In addition to studying a variety of taught core modules, students will undertake a meaningful research and / or programming project to further enhance their skills from creating a project proposal to delivering and deploying a meaningful data science project.

This innovative course will draw on the professional and personal skills of the participants in areas such as presentation, communication and soft skills, as well as data science development, integration and critical thinking around the design, implementation and deployment of science solutions and systems. of data in the industry.

The objective of this program is to provide students with the understanding and ability to critically evaluate and use data analysis and associated processes, systems, algorithms, technologies and knowledge obtained, ethically, in appropriate contexts. The program also focuses on current research in the field and allows participants to critically review and evaluate this research.

Professional oportunities

Data science is the interdisciplinary field of study of processes and systems to extract knowledge or information from data in a variety of formats, whether structured or unstructured, which is a continuous evolution of traditional fields of data analysis such as statistics. , data mining and predictive analytics.

Data scientists who have successfully completed this program are equipped to work in ICT, finance, business, insurance, marketing and retail, pharmaceutical, biotechnology, telecommunications, media, sports, and other sectors. The program offers full graduates for data science management and / or technical development positions in the sectors listed above.

Program structure

  • Data Scientist Programming
  • Data and data storage technology
  • Statistics for data science
  • Search methods
  • Infrastructure for Big Data
  • Data analysis and algorithms
  • Data display and information
  • Project / Dissertation

Admission requirements

  • Applicants must have earned a Bachelor’s degree in computer science or mathematical science or have a degree with strong numerical content (eg, engineering, finance, physics, biosciences, or economics).
  • Applicants who do not meet the above standard entry requirements will also be considered if they have a Bachelor’s degree in another area and a minimum of 5 years of verifiable relevant industry experience. Applicants who do not have a primary degree will only be considered with a minimum of 10 years of verifiable relevant industry experience.

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