Master of Analytics

Analytics is an established quantitative field within both industry and higher education.

With exponential growth in available data, the analytics discipline has emerged as a key field requiring the skilled analyst.

This program provides you with complementary skills in analytics, tapping into studies in statistics, operations research, computer science, information technologies, business, economics, finance and marketing.

Combining the expertise of the College of Science, Engineering and Health and the College of Business, the Master of Analytics prepares you for statistical analysis in the business world.

The flexibility of the program, allowing you to choose from a diverse range of electives, combined with a core of statistics and operations research, will enable you to specialise in the areas that will assist you in the future.The program has a student-focused approach that aims at developing superior skill levels in the use of statistics and operations research in solving real world problems arising in industry, research and the business environments.

This is achieved by the use of contemporary statistical software accompanied by an in-depth understanding of the statistical processes involved and how these processes impact in a variety of environments.

By completing this program, you will be particularly knowledgeable, creative and critical in your approach to interpreting and analysing data.

You will also be equipped with the ability to apply knowledge acquired to solve a wide range of real world problems.A strong focus of the program is consulting and work-integrated learning.

This assists you through exposure to industry projects and problems that provide you with hands on examples for the development of your analytic capabilities.

With data-driven decisions now a fundamental part of business operations, this program provides you with the platform to be a business-ready problem solver.MATH2191 Applied Research Project will serve as a capstone experience - a culmination of prior knowledge, skills and their application acquired during the program of study.This program is delivered on campus;

some courses may be available online.

Year One of Program

Complete the following Three (3) Courses:

Select and Complete up to 24 credit points from the following Courses (please note: if you choose 24 credit points here you may only choose 12 credit points in the second list):

Select and Complete up to 24 credit points from the following Courses (please note: if you chose 24 credit points in the above list then you may only choose 12 credit points in this list):

Select and Complete Two (2) Courses from the Science Option course list below.

AND

Year Two of Program

Complete the following One (1) Course:

Select and Complete Two (2) of the following courses not previously completed:

Select and Complete Thirty-Six (36) credit points from the following Courses:

Select and Complete Two (2) Courses from the Science Option course list below. Science Option Course List:

Program entry requirements

A bachelor degree

OR

At least 10 years of relevant work experience

International qualifications are assessed according to the Australian Qualifications Framework (AQF).

English language requirements IELTS - 6.5+ (no band less than 6.0) For equivalents to English entry requirements, see the English equivalents web page

Exemptions

Some applicants might be eligible for credit that might change the duration of their program. Please refer to Articulation and Pathways section for more detail.

The following are the key learning outcomes developed in the program which will make you, as a graduate, relevant to current industry and business requirements:

Personal and professional awareness

• the ability to contextualise outputs where data are drawn from diverse and evolving social, political and cultural dimensions
• the ability to reflect on experience and improve your own future practice
• the ability to apply the principles of lifelong learning to any new challenge.

Knowledge and technical competence

• an understanding of appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.

Problem-solving

• the ability to bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
• an understanding of the balance between the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.

Teamwork and project management

• the ability to contribute to professional work settings through effective participation in teams and organisation of project tasks
• the ability to constructively engage with other team members and resolve conflict.

Communication

• the ability to effectively communicate both technical and non-technical material in a range of forms (written, electronic, graphic, oral) and to tailor the style and means of communication to different audiences. Of particular interest is the ability to explain technical material, without unnecessary jargon, to lay persons such as the general public or line managers.

Information literacy

• the ability to locate and use data and information and evaluate its quality with respect to its authority and relevance.

Ethics

• develop the cognitive skills to review critically, analyse, consolidate and synthesise knowledge to identify and provide solutions to complex problems with intellectual independence.
• use initiative and judgement in planning, problem solving and decision making in professional practice and/or scholarship.
• take responsibility and accountability for own learning and professional practice and in collaborations with others within broad parameters.