The Master of Science is for two distinct groups of students, namely the professional scientists wishing to update their industry-related skills for career advancement and students considering a research degree. The course contains a compulsory core of professional subjects relevant to all science disciplines. The subjects in the core provide a backbone of skills important to a professional scientist; be they engaged in research, science businesses, industries or government organisations. These are the skills of communication, critical analysis, project management and innovation and commercialisation. The professional strand is complemented by a choice of major study in a specific science or mathematics discipline. Students may have the option of undertaking a small research project, subject to approval by the faculty. For students with suitable achievement levels, an opportunity to undertake a more substantial research project is available by transferring into the Master of Science (Honours) (C04267). For those considering a research degree, the Master of Science (Honours) provides a pathway to a PhD. The course provides graduates with analytic tools and disciplinary knowledge, combined with creative, logical approaches to problem-solving and professional skills that facilitate real world application of the science such as project management, IP management and commercialisation. Requirements AUTUMN SESSION 37233 Linear Algebra 60904 Innovation, Entrepreneurship and Commercialisation Select 12 credit points from the following: CBK90640 Elective 37234 Advanced Calculus 37262 Simulation Modelling 37345 Quantitative Management Practice 37356 Design and Analysis of Experiments 37373 Programming for Data Analysis SPRING SESSION 60901 Advanced Communication Skills in Science 60903 Project Management in Science Select 12 credit points from the following: 37253 Sample Surveys 37335 Differential Equations 37336 Mathematical Methods 37343 Nonlinear Methods in Quantitative Management 37344 Network and Combinatorial Optimisation 37357 Advanced Statistical Modelling 37363 Stochastic Processes 35112 Mathematical Research Project A Careers Career options vary according to the major chosen, but all graduates have training in the professional attributes that employers seek. The skills learnt expand career horizons and enhance prospects for promotion in the rapidly evolving science professions. Graduates in all majors may also proceed to a career in research by transferring into the Master of Science (Honours) (C04267) as a pathway to a PhD. Graduates of the Mathematical and Statistical Modelling major may expect to apply their logistic, statistical and modelling skills in careers in a wide range of diverse organisations and industries, including banking and finance, health, information technology, and market research. Course structure The course requires 72 credit points of study, comprising 24 credit points of professional stream subjects and a 48-credit-point major. A non-specified major in which cross-disciplinary subject selection is possible is also offered.