Students
Tuition Fee
USD 30,108
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Details
Program Details
Degree
Masters
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 30,108
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

Program Overview


Course Overview

Rapid advancements in high-throughput technologies used to sequence DNA have led to an unprecedented increase in the availability and use of genomics data, from fundamental scientific discovery in the life sciences to clinical applications in precision medicine. The analysis of these large, complex datasets requires a new generation of highly trained scientists who possess not only a sound understanding of the underlying biological principles and technologies, but also the necessary quantitative and computational skills. Combining elements of genetics, statistical science, data analytics, machine learning, bioinformatics and computational biology, this exciting new programme will provide graduates with a highly marketable and transferable set of data science skills as well as specialist knowledge of and experience in the application of these skills to the analysis and interpretation of genomics data.

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You may also be interested in one of our other Mathematics, Bioinformatics and Computational Genomics postgraduate programmes.





Applications are made online via the University of Galway Postgraduate Applications System.





Who Teaches this Course

  • Pilib Ó Broin, PhD
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    Dr Andrew Flaus BSc, PhD. View Profile

    Dr Derek Morris BSc, Ph.D

    Senior Lecturer

    Biochemistry

    Room 106

    Arts/Science Building

    South Campus

    View Profile




    Students are formally assessed through a variety of both continuous assessment and end-of-semester written examinations. Continuous assessment include written assignments, programming exercises, genomic analyses, individual and group presentations. Assessment of the research project includes a literature review and manuscript, as well as an oral presentation.

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