Eligibility Requirements for National Ireland Galway Master in Computer Science (Data Analytics)

Minimum 60-65% in computer science programme or level 8 science or engineering programme that offer sufficient training in computing.

65/100

Bachelor's GPA Requirement

3 years degree

UG Requirement

Test Scores Requirement

ExamRequirement
iBT 88
6.5
58
120

National Ireland Galway Master in Computer Science (Data Analytics) Program Description

Nearly all of our actions result in the creation and storage of data. Utilizing all of this data to generate insights that will support a healthier, safer, and more productive society presents significant difficulties for individuals, communities, businesses, and governments. In the fields of data analytics and data science, there is a severe global scarcity of skills and knowledge. The annual demand for spots in the program is exceptionally competitive because of the high demand for these graduates and the cutting-edge quality of this specific curriculum.

In-depth knowledge and skills in the rapidly expanding fields of data analytics and data science are provided to graduates of computer science and closely related fields through this advanced MSc program, which is taught full-time for over a year. A group of highly regarded academics from NUI Galway who are regarded as world leaders in their professions teach the MSc in Data Analytics program. Large-scale data analytics, sophisticated data mining and machine learning, deep learning, information retrieval, natural language processing, data visualization, web mining, linked-data analytics, simulation and modeling, and digital image processing are a few of the subject areas covered.


Program URL:https://www.nuigalway.ie/courses/taught-postgraduate-courses/msc-in-computer-science-data-analytics.html#course_overview

National Ireland Galway Master in Computer Science (Data Analytics) Program Curriculum

Modules in Statistics and Probability, Advanced Natural Language Processing; System Modelling & Simulation; Embedded Image Processing; Linked Data, Tools and Techniques for Large Scale Data Analytics.

Electives

Modules in Statistics and Probability, Advanced Natural Language Processing; System Modelling & Simulation; Embedded Image Processing; Linked Data, Tools and Techniques for Large Scale Data Analytics.

Programming for Data Analytics; Introduction to Natural Language Processing, Machine Learning, and Data Mining; Data Visualization, Deep Learning, Web and Network Science, Information Retrieval and Case Studies in Data Analytics.

  • Data Science

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