Master of Science (Data Analytics) (Exit Award)

The Master of Science (Data Analytics) provides students with the skills necessary for a career in data analytics, which involves data management, analysis, visualisation and interpretation as well as data-driven decision making.

From a business perspective, the task of analysing performance and using those analyses to inform decisions about future actions has long played an important role in organisations and, in the past, it was often performed by people with accounting, finance or strategic planning skills.

However, a number of trends - the growth of big data;

increasingly complex organisations with more specialised functions;

increased reporting, auditing, compliance and quality requirements;

and more sophisticated analytical tools and techniques - has made data analysis both more important and more complex.

Students will graduate with technical skills in the specific and highly sought-after area of data analytics.This degree is only available as a combined program:Master of Business Administration (Global)/Master of Science (Data Analytics)

Entry into the Master of Business Administration (Global)/Master of Science(Data Analytics) will be available to applicants who have:

• An undergraduate degree (AQF level 7 equivalent), or higher, in a cognate field of study, including data science/analytics, statistics, computer science, engineering, mathematics, information technology, finance, econometrics, or physics.
• Applicants with an undergraduate degree (AQF level 7 equivalent), or higher, in other areas with significant quantitative components, including accounting, business, or commerce will be assessed for entry on a case by case basis.

On successful completion of the program students will have:

• Specialised knowledge of statistical and/or computational models, concepts and proficiency in their application
• Specialist knowledge in statistical and/or computational techniques for analysing and interpreting data sets
• Critical thinking and analytical problem solving to support data management, analysis and data-oriented decisions
• Specialised knowledge and skills required to use contemporary Big Data technologies to store, manage, process and analyse large structured or unstructured data sets
• Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science