The proposed full-time MSc in Data Science & Analytics will run over three semesters, i.e. fifteen months. Each semester accrues 30 credits.
The Semester 1 schedule consists of six taught modules (each 5 credits). The learner acquires a foundation in Mathematics, Statistics and Computer Science, with the signature module DATA8001 Data Science & Analytics overarching the other five modules of this semester.
It is during the second semester that the specialisation into the “Big Data” space takes effect, with modules in Statistics for Big Data, Data Visualisation, Distributed Data Management, Time Series, and Machine Learning.
In Semester 3, the MSc learner undertakes one capstone project module (DATA9003 Research Project – Data Science) worth 30 credits.
The graduate will gain significant practical experience, in software packages such as R, Excel, VBA, SAS, SPSS, RapidMiner, Tableau, Hadoop and Qlikview, and in the programming languages Python, SQL and NoSQL.