| Course Name |
Computer Science - Data Analytics |
| Course Provider |
NUI Galway |
| Course Code |
GYE06 GYE07 |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Degree - Masters (Level 9 NFQ)
More info...
|
Major |
National University of Ireland |
Level 9 NFQ |
|
| Apply To |
PAC |
| Attendance Options |
Full time, Part time, Daytime |
| Location (Districts) |
Galway City |
| Qualification Letters |
MSc |
| Application Date |
WHEN TO APPLY:
This is an in-demand course. Candidates are encouraged to apply as early as possible. NUI Galway does not set a deadline for receipt of applications (with some exceptions). Offers will be issued on a continuous basis. The course will close as soon as all places are filled. |
| PAC Application Information |
PAC CODE(S): GYE06 (full-time); GYE07 (part-time) |
| Application Weblink |
Web Page - Click Here |
| Link to Course Fee |
Web Page - Click Here |
| Entry Requirements |
Minimum entry requirements
This MSc is suitable for high-performing graduates of Computer Science and closely related degree programmes. Entry to the programme is open to individuals who have at least a 2.1 in a Level 8 Computer Science or Computer Engineering degree of the standard equal to those offered in NUI Galway. It is also open to graduates who earned a H1 in NUI Galway’s Higher Diploma in Software Design & Development, or equivalent. |
| Number of Places |
20 |
| Comment |
Expand+3 GOOD REASONS TO STUDY THIS COURSE
1. This is a distinctive programme that is closely aligned to the research and teaching expertise of the Discipline of Information Technology and The Insight Centre for Data Analytics at NUI Galway.
2. Gradua...
Hide-3 GOOD REASONS TO STUDY THIS COURSE
1. This is a distinctive programme that is closely aligned to the research and teaching expertise of the Discipline of Information Technology and The Insight Centre for Data Analytics at NUI Galway.
2. Graduates will be excellently qualified for new career opportunities in any area that relies upon data analysis for competitive advantage, research insights and innovation.
3. CNN lists jobs in the Data Analytics area in its “Top 10 best new jobs in America”.
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| Course Content |
Expand+Your course
Data Analytics is one of the fastest growing employment areas in computing and the one most likely to make an impact in the future. This MSc is an advanced programme that a provides computing graduates with deep knowledge and skills in ...
Hide-Your course
Data Analytics is one of the fastest growing employment areas in computing and the one most likely to make an impact in the future. This MSc is an advanced programme that a provides computing graduates with deep knowledge and skills in the emerging growth area of Data Analytics, including topics such as tools and techniques for large-scale data analytics, natural-language processing, data visualisation, advanced topics in machine learning and information retrieval and web and graph analytics.
The course has three main elements: foundational modules (20 ECTS [credits]), advanced modules (40 ECTS), and a substantial capstone project (30 ECTS). Foundational modules (subject to change) include Statistics & Probability; Applied Regression Modelling; Programming for Data Analytics; Data Mining and Machine Learning; and Numerical Analysis. Advanced modules include Tools and Techniques for Large Scale Data Analytics; Natural Language Processing; Web-mining; Linked-Data; Introduction to Bayesian Modeling; Advanced Topics in Machine Learning and Information Retrieval; System Modelling & Simulation; Case Studies in Data Analytics; and Data Visualisation. Students work on individual projects over the year, building on the knowledge they acquire during the course, and submit these projects for evaluation in August. Projects may have a research or applied focus.
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| Careers or Further Progression |
Expand+Career opportunities
Graduates will be excellently qualified to pursue careers in industry and academic research in a wide range of areas. Opportunities include multinational enterprises that provide analytics services and solutions, multinational ...
Hide-Career opportunities
Graduates will be excellently qualified to pursue careers in industry and academic research in a wide range of areas. Opportunities include multinational enterprises that provide analytics services and solutions, multinational enterprises whose business depend on analytics and big data technologies, and leading-edge indigenous companies and startups that provide innovative analytics solutions and products. Graduates will also be qualified to apply for national or international PhD-level positions.
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| Further Enquiries |
Mary Hardiman
T: +353 91 493 143
E: info@it.nuigalway.ie
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| Course Web Page |
Web Page - Click Here |
| International Students |
Web Page - Click Here |
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