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The MSc in Data Analytics is a postgraduate masters degree course aimed at IT graduates and professionals, and graduates from cognate/numeric disciplines.

The majority of companies today realise the value of data driven business strategy and are in need of talented individuals to provide insight into the constant stream of collected information. Leveraging the value of big data for strategic advantage has become an increasingly standard business practice globally, resulting in an exponential skills shortage of data analysts. This programme aims to produce graduates who will be able to apply for roles pertaining to Data Analytics across all sectors of the economy.

Taught modules on the Masters in Data Analytics are followed by a Data Analytics project allowing students to apply their knowledge to a specialised applied Data Analytics problem which will be industry-initiated and used as the context for planning, designing, building and testing potential analytical solutions. Modules include, programming, statistics, technology enabled data analysis using machine learning and artificial intelligence, data visualisation, research and ethical studies pertaining to the field. Multiple transversal skills are also embedded throughout the programme including time management, communication, critical thinking and analysis, research, presentation as well as management and leadership development, ethics, project management and evaluation, and professional judgement.

Learners on the full-time course will likely be IT graduates or graduates of cognate disciplines and learners on the part-time programme will typically comprise IT professionals and/or graduates of cognate disciplines who are currently in employment and who require upskilling due to the accelerated pace of economic digital transformation.

The Masters (MSc) in Data Analytics programme will be delivered on a blended learning basis. Contact hours for the programme are a combination of traditional face-to-face classroom learning and virtual classroom also incorporating face to face and virtual lab sessions / workshops. Full time learners are required to attend 15 hours per week. Part time learners attend 8 hours per week, spread over 2 evenings and some weekend attendance would be required for campus based / virtual practical labs/workshops.

Programme Aims and Objectives:

This programme aims to provide an opportunity for successful applicants to specialise in Data Analytics at MSc level (level 9). The programme provides graduates with the skills and competencies to facilitate the ever-increasing demand for the upgrading of legacy data solutions in line with the emerging necessity for digital transformation of multiple sectors to incorporate the vast amount of data available into a more advanced and insightful model.

Career and Progression Opportunities:

The programme has been designed to produce graduates with the attributes required of data specialists and analysts today and the ability to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing discipline. On successful completion of the MSc in Data Analytics learners may progress to further study or research opportunities.

Graduates of the MSc in Data Analytics should be able to secure professional roles at intermediate and advanced positions in data analysis across all sectors of the economy and progress to leadership or research roles using skills related to those learned in the programme curriculum. Potential roles include but are not limited to: Business Intelligence Analyst, Data Analyst, Data Scientist, Data Engineer, Quantitative Analyst, Data Analytics Consultant, Operations Analyst, Marketing Analyst, Data Project Manager, IT Systems Analyst, Transportation Logistics Analyst, Financial Data Analyst, Healthcare Data Analyst.