Data Science & Analytics

The growth in the field of Data Science has been enormous in recent years with a growing demand for practitioners in a variety of industries. With the ever increasing growth in data generation and collection, industries now rely heavily on appropriate analysis. Consequently, data science and analytics has become a core component of both the public and private sectors who seek a competitive advantage.

The MSc in Data Science and Analytics at CIT, a collaboration between the Department of Mathematics and the Department of Computer Science, aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. This collaborative programme provides graduates with a thorough grounding in the theory of data science, while allowing graduates to become highly proficient in the technical and practical skills of a modern data scientist. The course will equip graduates with the skills to gather and store data, process data using advanced statistics and techniques such as machine and deep learning and deliver new insights and knowledge from the collected data.

The programme has been designed with industry experts to ensure that in the first two semesters graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, and data visualisation and interpretation of results. The industry based capstone project in Semester 3 is a key component of this MSc programme. The project allows the learner to apply the knowledge, skills and competences acquired in the taught modules to research and development applied to a real-world data science problem.

Entry requirements

Admission Requirements

• 2.1 in a Level 8 Honours degree

• Alternatively, graduates with a 2.2 Honours degree will be considered, subject to having three years relevant experience.

• The language of academic instruction as well as administration is English. Non-native speakers of English require a minimum IELTS score of 6.0 to be considered for entry into this postgraduate programme. Appropriate EFL training courses are offered by CIT to applicants who meet the academic programme entry requirements but who need to increase their proficiency in the English language.

Subjects taught

The full-time MSc in Data Science and Analytics will run over three semesters. Each semester accrues 30 credits.

The first semester consists of six taught modules (each five credits). The learner acquires a foundation in Data Science, Statistics and Computer Science, with the signature module DATA8001 Data Science and Analytics anchoring the other five modules of this semester.

Data Science and Analytics
Introduction to R for Data Science
Applied Statistics and Probability
Scientific Programming in Python
Mathematical Methods and Modelling
Data Management Systems

The learner continues to pursue more advanced topics in the second semester with focus on the key skills needed to be a modern data scientist. Again, each module this semester earns five credits and includes a research methods module to prepare students for their final dissertation.

Statistical Data Analysis
Data Analytics and Visualisation
Distributed Data Management
Time Series and Factor Analysis
Applied Machine Learning
Research Methods

The MSc learner undertakes one capstone project module (DATA9003 Research Project - Data Science) worth 30 credits.


M.Sc: 90 ECTS


Full-time: 3 semesters


EU Applicants: €6,500
Non-EU Applicants: €12,000

Enrolment dates

Contact the college for the next start date.

Post Course Info

Graduates of this programme will be of high academic and practical standards having gained key knowledge, skills and competences in Data Science, Machine Learning, Statistics, and Computer Science. Graduates will experience first hand the application of their newly developed skills to solving real-life problems.

Our alumni have gone onto a wide variety of roles as data scientists, as well as other technical and leadership roles in high tech industries such as financial services, pharmaceuticals, IT, brewing, consulting, official statistics, retail analytics, data science banking, and many more.

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    Degree - Masters (Level 9 NFQ)

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