Bachelor of Mathematical Sciences and Master of Applied Statistics

Macquarie University

About

Overview This course is designed to train graduates for employment as applied statisticians in research organisations, insurance companies, financial institutions, medical institutions, government departments and industries.

It includes specialised areas of study, such as biostatistics, data mining, epidemiological methods, generalised linear models, marketing research, time series and stochastic finance.

The course … For more content click the Read More button below.This course is designed to train graduates for employment as applied statisticians in research organisations, insurance companies, financial institutions, medical institutions, government departments and industries.

It includes specialised areas of study, such as biostatistics, data mining, epidemiological methods, generalised linear models, marketing research, time series and stochastic finance.

The course has a strong focus on the mathematical foundations of statistical theory and the application of contemporary statistical methods and the latest computational techniques.

The development of relevant computing skills also forms an integral part of this course.Read More

Entry requirements

About inherent requirementskeyboard_arrow_down

Inherent requirements are the essential components of a course or program necessary for a student to successfully achieve the core learning outcomes of a course or program. Students must meet the inherent requirements to complete their Macquarie University course or program. For more information see https://students.mq.edu.au/study/my-study-program/inherent-requirements. Inherent requirements for Macquarie University programs fall under the following categories:

Physicalkeyboard_arrow_down

The physical inherent requirement is to have the physical capabilities to safely and effectively perform the activities necessary to undertake the learning activities and achieve the learning outcomes of an award.

Cognitionkeyboard_arrow_down

The inherent requirement for cognition is possessing the intellectual, conceptual, integrative and quantitative capabilities to undertake the learning activities and achieve the learning outcomes of an award.

Communicationkeyboard_arrow_down

The inherent requirement for communication is the capacity to communicate information, thoughts and ideas through a variety of mediums and with a range of audiences.

Behaviouralkeyboard_arrow_down

The behavioural inherent requirement is the capacity to sustain appropriate behaviour over the duration of units of study to engage in activities necessary to undertake the learning activities and achieve the learning outcomes of an award.

Learning outcomes

1. Demonstrate well-developed, broad and coherent knowledge across the range of mathematical sciences.
2. Demonstrate advanced and integrated knowledge of statistical theory and methods.
3. Formulate advanced statistical models, such as generalized linear models and commonly used models for multivariate analysis.
4. Identify and evaluate statistical methods for data from a broad range of statistical applications.
5. Evaluate and formulate suitable responses to the ethical aspects and implications of professional statistical work.
6. Apply appropriate statistical models/methods and relevant analyses for various types of data in multiple contexts.
7. Apply the latest computational techniques in data analysis by selecting and using modern statistical software packages.
8. Contribute to the management of complex projects undertaken in collaboration with others including industry partners, communicate effectively with team members and other interested parties and ensure the timely delivery of outcomes.
9. Design and apply complex statistical analyses to address a wide range of practical problems.
10. Display well-developed judgment and responsibility by producing mathematical and statistical reports suitable for oral and written presentations to both expert and non-expert audiences.
11. Undertake expert independent research in professional projects.

Institution