The Master of Statistics and Data Science is also fully offered as a distance learning (DL) programme. Enrolling for the DL programme means that as a student, you will take the programme from a distance, i.e. from home, workplace or virtually any place with access to the internet. The DL programme can be followed full-time or part-time, allowing for a flexible and feasible combination of work and study.

This is one of several subject combinations available in our Certificate of Higher Education in Computing & IT and Statistics and a second subject (T13) – you’ll divide your time equally between the two subjects. You will be introduced to probability and the most common methods of statistical data analysis, and you will explore the profound technological, economic, political and ethical change driven by digital technologies.

The Master of Statistics and Data Sciences will help you develop a problem-solving attitude and teach you how to apply statistical methodology. You'll be trained intensively in both the theoretical and practical aspects of statistics and data science.

Gain extensive knowledge of probability and statistics. Combine this with pure mathematics or applied mathematics. This BSc (Honours) in Mathematics and Statistics degree will equip you with problem-solving and decision-making tools. You’ll experience using statistical software and practise conducting and communicating statistical investigations.

The advanced certificate in applied statistics is designed for engineers, scientists, analysts, and other professionals who want a solid education in the statistical methods that are most closely related to their work.

This is one of several subject combinations available in our BSc (Honours) Computing & IT and a second subject (Q67). Computing & IT studied with statistics can open career opportunities in various sectors. You’ll gain a good grounding in statistical methods, complementing the computing & IT skills you’ll develop. So if you enjoy computing & IT, and statistics, these qualifications could suit you well.

This is one of several subject combinations available in our Diploma of Higher Education in Computing & IT and a second subject (Q67). Diploma of Higher Education in Computing & IT and Statistics With this joint diploma, you can specialise in an area of computing and IT and combine it with statistics, dividing your time equally between subjects. With competence in statistics and computing skills, you’ll be equipped to work in organisations that base decisions on statistical analysis or seek to interpret “big data”.

“If you can’t measure it, you can’t change it.” Masterclass in Labour Statistics: From Standards to Data course enable us to monitor one of the most important aspects of our well-being: work. As we spend a large part of our lives at work and live on the earnings from it, governments must have access to timely and relevant data to inform accurate and sound policies.

The curriculum consists of a thesis that incorporates a research proposal, an oral defense (viva voce) and two manuscripts, based on the candidate's research, submitted for publication to a recognized accredited journal. Proof of the submission of the manuscripts is a compulsory condition for the degree to be conferred.

The curriculum consists of a dissertation that incorporates a research proposal to be completed within the first year of study

Due to COVID-19, classroom courses during Fall 2021 will be offered in a live online format. We continue to offer self-paced online courses.

Apply the skills learned in statistical analysis to a variety of industries, including insurance, marketing, government, health care, and more.

The Applied Statistics Graduate Certificate is designed for individuals who wish to augment or begin studies in applied statistics. Students are trained in the collection, organization, analysis, interpretation, and presentation of numerical data.

The Applied Statistics Graduate Certificate is designed for individuals who wish to augment or begin studies in applied statistics. Students are trained in the collection, organization, analysis, interpretation, and presentation of numerical data.

From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.