MATH5185 Special Topic in Applied Mathematics II 4. It aims to strengthen and deepen knowledge of the statistical science and to develop consulting and project writing skills.The program covers a wide range of statistical theory and practice and provides advanced training to students who consider further research in statistics. The UNSW Master of Statistics program is the longest running program of its kind in Australia. The thesis will be assessed for quality in four major areas, each of which being equally important: At the end of their project, the student gives an oral presentation of 20 minutes on their thesis to staff members of School, interested visitors and other students. Statisticians are the people with that expertise, which explains why they have become key players in today’s job market. Master of Statistics. Master of Analytics at UNSW Online Big data has disrupted the skills and knowledge required of employees, across functions, to deliver value to their organisations. u/js29616. For more information, connect with an advisor online. MATH5165 Optimisation 2. The presentation will be assessed on: engagement; knowledge displayed; motivation presented for the study of the topic; description of contributions/achievements; description of results; clarity of verbal discussion; clarity of slides/figures; keeping to time; and responses to questions. The project is a compulsory part of any Master program, and is worth 12 Units of Credit (UoC). Press J to jump to the feed. 7659 Graduate Certificate in Mathematics and Statistics. The presentation is worth 20% of the final project mark. Students who do not achieve the required WAM will be awarded with the Graduate Diploma in Mathematics and Statistics (program 5659) providing they pass 8 courses (or with the Graduate Certificate in Mathematics and Statistics (program 7659) provided they pass 4 courses). The elective courses are normally chosen from the list of postgraduate courses offered by the School of Mathematics and Statistics (all MATH5XXX courses). You can find more information on this degree including entry requirements on the UNSW Degree Finder. Degree code : 8750. The 8 elective courses are normally chosen from the list of postgraduate courses offered by the School of Mathematics and Statistics (all MATH5XXX courses, except for MATH5846 and MATH5856). UNSW offers three higher degree research programs: Doctor of Philosophy, Masters by Research, and Master of Philosophy. Students need to have maintained a WAM of 70 or higher in their program to progress to the project. Press question mark to learn the rest of the keyboard shortcuts. r/unsw: For former, current and future students or staff to discuss UNSW. UNSW Masters degrees offer flexible postgraduate study in a range of disciplines. evidencing the aptitude of the applicant to undertake the program. To enter the Master of Statistics program, students must: 1. have completed a Bachelor’s degree (or equivalent) in Mathematics or a Bachelor’s degree (or equivalent) in Science with a major in mathematics or statistics; and 2. have sufficient mathematical and/or statistical background, as indicated by an average of 65% or above in relevant level III mathematics and/or statistics university courses. Course code: 9372 (72 units of credit) Award type: Masters; 1.7 years full time or 3 years part – time Options for a Graduate Certificate 7372 (24 Units of Credit) and Graduate Diploma 5372 (48 Units of Credit). 2. To enter the Master of Statistics program, students must: Prospective international students should note that this program has English language requirements as well. Supervision by individual staff members is conditional on staff agreement. Those courses include, but are not limited to: Note that only a subset of those courses are offered in any given term and year. All the postgraduate programs offered by the UNSW School of Mathematics and Statistics are Commonwealth Supported, meaning that domestic students may benefit from a contribution of the Australian Government towards the cost of their education. Accept & Enrol. Whilst the majority of postgraduate places at UNSW are Domestic Fee Paying there are certain programs which have an allocation of Commonwealth support funding. Our innovative teaching gives you an opportunity to make practical use of the knowledge gained through your degree and learn to work independently. The project involves writing a thesis, i.e. Entry to this program is available in February (Term 1), June (Term 2) or September (Term 3). As well as its statistical and mathematical aspects, this degree prepares you for the problem-solving and report-writing aspects of future employment. In addition, the program provides the necessary preparation for further research in Statistics. The demand for professionals with data analytics capabilities who can skilfully apply data-driven decisions is increasing exponentially. MATH5231 Prediction and Inverse Modelling, MATH5335 Computational Methods for Finance, MATH5816 Continuous Time Financial Modelling, MATH5825 Measure, Integration & Probability, MATH5826 Statistical Methods in Epidemiology, MATH5836 Data Mining and its Business Applications, MATH5960 Bayesian Inference & Computation, MATH5965 Discrete Time Financial Modelling, MATH5975 Introduction to Stochastic Analysis, ACTL5105 Life Insurance and Superannuation*, COMP6714 Information Retrieval and Web Search, COMP9044 Software Construction: Techniques and Tools, COMP9417 Machine Learning and Data Mining, COMP9418 Advanced Topics in Statistical Machine Learning, COMP9444 Neural Networks and Deep Learning, COMP9801 Extended Design & Analysis of Algorithms, FINS5513 Investments and Portfolio Selection, FINS5530 Financial Institution Management*, FINS5535 Derivatives and Risk Management Techniques, FINS5541 Advanced Investment and Advanced Funds Management. r/unsw. Master of Statistics. MATH5175 Special Topic in Applied Mathematics I 3. The UNSW School of Mathematics and Statistics has more than 90 academic staff and postdoctoral fellows. Short courses are run regularly by Stats Central , which also offers statistical consultations for UNSW staff and students regarding all aspects of a research project (study design, analysis and communication). There are opportunities in areas as diverse as: Our prominent academics prepare students to work in a range of occupations including: "We live in the Big Data era: we collect data everywhere, meaning that the world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. It is intended for students who have completed a Mathematics or Statistics degree, or a degree in a related area. The course outline is available through UNSW Moodle for students enrolled in this course. 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