MSc Data Analytics Course in Dublin

MSc in data analytics is an innovative programme with an integrated delivery from end-to-end covering the practice and theory of Data Analytics. Students who pursue a course in data analytics have a huge scope in industrial, commercial and public sector environments.

Graduates will have an in-depth knowledge of the practical and theoretical aspects of data analytics. The programme enables and supports learners in developing critical analytical skills and in applying theoretical concepts to the practice of data analytics.

The programme incorporates Personal & Professional Development within modules to enhance the student's employability, which will enable them to integrate seamlessly into an organisation by addressing skills such as self-management, leadership and teamwork that are essential in the area of Big Data Analytics.

It also comprises a Research Methods module integrated into the applied data analytics modules, research technique, focusing on literature review and their application to real life situations, data sets and how applied research and entrepreneurship are linked. These modules will inform the learner's Dissertation, which requires the production of an artefact.

Recognitions

Data Analytics Program

The MSc in Data Analytics course, provides an education in the key principles of statistics and computing. The combination of statistics modules and sophisticated computing will develop your skills in database programming, modelling, management and interpretation of data, summarization and a foundational module in topics such as probability and statistics and programming techniques for data analytics. Students on the programme further deepen their knowledge of data analytics and science by working on a project either in conjunction with a research group or with an industry partner.

The Data Analytics course structure accommodates a wide audience of learners whose specific interests in data analytics may be either technically focused or business focused. All students will also gain exposure to pertinent legal issues and product commercialisation considerations associated with the data analytics field. The programme provides graduates with an opportunity, through a development of a research project, to investigate the more applied elements of the disciplines.

Highlights of Data Analytics course

• The course will be delivered using industry defined practical problems, academic research and case studies.
• Foster a deeper knowledge of creating transferable skills
• Cultivate skills such as creative thinking, critical thinking, communication, problem-solving, research skills and teamwork
• Prepare graduates to rigorously apply appropriate research, design and implementation strategies in the development of Big Data solutions.
• Coherent, perform in-depth and ultimately significant reports on the state-of-the-art and the likely future directions of the field, with respect to a problem domain.

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Course Curriculum for Data Analytics

This is an advanced MSc programme that provides graduates of Computer Science and closely related areas of in-depth knowledge and skills in the emerging growth area of Data Analytics.

It includes topics such as

• Large-scale data analytics
• Applied regression modeling
• Advanced data-mining
• Machine learning

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• Natural language processing
• Information retrieval techniques
• Data Visualization
• Simulation
• Linked-Data analytics and modelling
• Web mining
• Digital image processing

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Scope for Data Analytics

Almost everything we do results in data being created and stored somewhere. Individuals, business and communities, governments face major challenges in harnessing all this data to create knowledge that will underpin a safer, healthier, more productive world.

Companies currently seeking graduates with data analytics skills include firms specializing in financial services and consulting, analytics as well as governmental agencies and departments.

Data Analytics course extends your in-depth knowledge, understanding and practical skills in meeting the specific technical and design requirements of exacting industry standards as they emerge.

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