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This computing program is designed to cultivate highly skilled, technically proficient, and innovative graduates who will emerge as top professionals in data analytics.
By finishing this program, students will gain the ability to:
Perform autonomous research and analysis within data analytics.
Develop and execute original research concepts employing cutting-edge industry methods.
Showcase advanced expertise in data analysis, statistics, and the tools/methodologies used in both technical and business applications of data analytics.
Analyze and appraise business and technical approaches to data analytics with a critical perspective.
Design and deploy efficient business and technical solutions for data analytics challenges.
Understand and address ethical considerations and data governance matters in data analytics.
The curriculum is structured to serve diverse learners with varying interests, whether technical or business-oriented within data analytics.
Participants will also explore relevant legal aspects and commercialization factors related to data analytics. Instruction combines academic research, real-world industry challenges, and case studies, promoting comprehensive subject mastery and developing workplace-ready abilities like analytical reasoning, solution-finding, innovation, collaboration, and investigative techniques. The program is taught exclusively by faculty and industry experts with demonstrated data analytics proficiency.
Duration - 1 year
A minimum of a level 8 (honours degree) qualification (2.2 or higher) on the National Qualifications Framework. Applicants may be from a cognate/STEM background. Standard applicants for the programme are those holders of computing or numerate degrees.
IELTS: 6.0; TOEFL Internet Based: 78; TOEFL Computer: 213; PTE Academic: 50; Cambridge European Framework: B2+; Cambridge Exams: FCE; Irish Leaving Certificate: Ordinary Grade D.