Course Highlights

Do you want to become a highly-skilled Data Analyst with expertise that cuts across the core disciplines of Mathematics, Statistics and Computer Science?

Then the MSc in Data Analytics from Dundalk institute of technology, Ireland is the right choice for you as it emphasises the critical connection from data to information, from information to knowledge, and from knowledge to decision making, encompassed in the Data-Lifecycle.

This Master of Science in Data Analytics is a one-year full-time Masters level programme primarily aimed at students with strong numeracy skills who wish to extend their skillset to a more advanced level of theoretical knowledge and practice and to further develop their research capabilities and innovation skills in the area of Data Analytics. 

The programme takes an integrative approach, focusing on the synthesis of knowledge and practice from specialist areas within the data analytics and computing domains.

You will gain critical knowledge in aspects of data required to become highly-skilled Data Analysts: with modules in Statistics, Data Visualisation, Time Series, Data Architecture, Machine Learning, Statistical Programming and Ethics in Data

Career Prospects

Previous Alumni have been employed in different sectors and industries including areas such as research; academia; business; finance; banking; healthcare; pharmaceuticals; commercialism; and technology.

Graduates from MSc in Data Analytics achieve success in vivid Industry roles such as Data Analyst, Data Scientist, Data Engineer, Data Architect, Business Data Analyst, Data Visualisation developer and Statistician

Study Benefits

The M.Sc. in Data Analytics course at DkIT is structured to provide a comprehensive understanding of data management, analysis, and application

The educational aim is to develop students' analytical, critical thinking, problem-solving and communication skills and to foster their research capabilities and innovation skills in the area of Data Analytics.

This course is delivered using a mix of lectures, workshops, labs, tutorials and independent reading, continuous assessment projects etc

Core Modules

The Master of Science in Data Analytics at DkIT is divided into three semesters, covering the entire data lifecycle. Semester 1 focuses on fundamentals, including Data Architecture, Statistics, and Programming for Data Analytics. Semester 2 builds on this with more advanced topics like Data Visualization, Machine Learning, Time Series Analysis, and Ethics in Data Analytics. Semester 3 culminates in a Dissertation, where students apply their skills to a real-world data problem