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The University of Melbourne School of Mathematics and Statistics Master of Scie

The University of Melbourne School of Mathematics and Statistics Master of Science (Mathematics and Statistics) and Advanced Graduate Diploma Guide 2016∗ Version 1.05† ∗This guide has been prepared to assist you in deciding whether to apply for the Master of Science or Advanced Graduate Diploma programs in the area of Mathematics and Statistics and in designing your course. You are advised that the rules governing the programs are deﬁnitively stated in the oﬃcial University Handbook. In the event of a disagreement between this Guide and the Handbook, it is the Handbook that is to prevail. The information in this Guide is given in good faith and correct (to the best of our knowledge) at the time of writing (October 2015). It has been carefully checked, but the School of Mathematics and Statistics accepts no responsibility for the accuracy of the information. †Prepared by K. Borovkov. The Guide contains material prepared for its past editions by, or with participation of, S. Zhou, P. Norbury and O. Foda. 1 Contents 1 Overview 3 2 Course Structure 4 2.1 MSc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.2 AGDip . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.3 Some Common Comments on the Programs . . . . . . . . . . . . . . . . . . . . . . 6 3 Entry Requirements 7 3.1 MSc . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2 AGDip . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 4 How to Apply 7 5 CSPs and Scholarships 7 5.1 CSPs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 5.2 Scholarships, Studentships, Awards and Prizes . . . . . . . . . . . . . . . . . . . . 8 6 How to Enrol in Individual Subjects 9 7 How to Find a Supervisor 9 8 The Research Project Component 10 9 Extensions and Special Consideration 11 10 Computer Literacy 11 11 Contact Details 13 12 Key Dates 13 13 Some Useful Web Sites 13 14 Discipline Subjects in 2016–17: Semester Allocation 14 15 Discipline Subjects: Brief Descriptions 15 16 Research Project: Thesis & Oral Presentation 23 16.1 Your Supervisor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 16.2 Your Thesis: General Advice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 16.3 Your Thesis: How to Write It . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 16.4 Your Final Presentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2 1 Overview In 2016 the following advanced level programs will be oﬀered in the School of Mathematics & Statistics: • MC-SCIMAT Master of Science: Mathematics and Statistics Coordinator: Prof Aihua Xia • GDA-SCI Graduate Diploma in Science (Advanced): Mathematics and Statistics Coordinator: Prof Aihua Xia The Master of Science (MSc) program (two years full time) and Graduate Diploma in Science (Advanced, AGDip) program (one year full time study) in Mathematics and Statistics are ﬂexible programs allowing students to study subjects in four broad specialisations: (A) Applied Mathematics and Mathematical Physics, (B) Discrete Mathematics and Operations Research, (C) Pure Mathematics, and (D) Statistics and Stochastic Processes. The Master of Science program serves as a necessary preparation for research in Mathematics and Statistics, including PhD studies. The AGDip program is designed for students who are willing to expand their mathematics and statistics knowledge and skills but have insuﬃcient mathematical background for immediate entry into Masters. For such students, the program can also serve as a stepping stone for the MSc program, and after successful completion of the AGDip program, they will be able to do MSc in one and a half years instead of two. Both programs have substantial coursework components: • MSc: 200 credit points = 150 points coursework + a 50 points research project component; • AGDip: 100 credit points = 100 points coursework (recall that the standard full-time student load is 100 credit points per year, which is equivalent to eight standard one-semester subjects). Be aware that the maximum course duration for full-time MSc (AGDip) program is four (three) years, for part-time MSc (AGDip) program it is six (four) years.1 It is expected that you would nominate your preferred specialisation on enrollment. To success- fully do the coursework subjects in the chosen specialisation, you will have to have the undegraduate level prerequisites (or their equivalents) for the masters level subjects from that specialisation com- pleted by the time you attempt them. There is a space in the MSc program for a couple of such prerequisite subjects, in case you miss some of them, but you must have suﬃcient background in the chosen specialisation area prior to commencing the program. Each MSc student will be assigned an academic supervisor from a specialisation, who will give individual advice on the student’s research project and assist in developing an individual course plan for that student. The School has several MSc advisers whose names will be communicated to newly enrolled students at induction. These advisers will be able to assist AGDip students (and also beginning MSc students, should they have no supervisor at the time) with course planning. Students will have to do a prescribed number of masters level discipline subjects oﬀered by the School of Mathematics & Statistics. For the masters level Mathematics & Statistics discipline subjects available to MSc and AGDip students in 2016 and 2017, please see the table in Section 14 showing the subjects’ semester allocation. A few of these subjects may be replaced by masters level subjects oﬀered by other schools or even undergraduate subjects (subject to the approval of the supervisor and the program coordinator). For precise formulations, see the program descriptions in the next section and refer to the University Handbook entries for the programs. MSc students are required to undertake a research project and a professional tools subject. Note that MSc students in mathematics and statistics are NOT allowed to go on exchange unless they are prepared to extend the duration of their course. 1According to MPF1004. 3 2 Course Structure 2.1 MSc The Master of Science in Mathematics and Statistics is one of the research training streams of the Master of Science. The research training streams give students the opportunity to undertake a substantive research project in a ﬁeld of choice as well as a broad range of coursework subjects including a professional tools component, as a pathway to PhD study or to the workforce. Students must complete a total of 200 credit points over the two year full-time (or an equivalent part-time) program, comprising: • Discipline Subjects: 137.5 points • Professional Tools Subject: 12.5 points • Research Project: 50 points It is very important to carefully plan one’s coursework from the very beginning, ensuring that one will satisfy prerequisites for all the subjects, and that one will eventually satisfy the coursework program requirements listed in the Handbook (see the table below). Seek advice from you supervisor. If you do not have one yet — see the respective MSc course adviser (the Academic Support Oﬃcer provides all enrolled students with the list of advisers at the start of the program). On enrolment, students must select one of the four specialisations (A)–(D) listed on p.3. They must complete eleven 12.5 point subjects as indicated in the table below. The list of compulsory and elective uploads/Science et Technologie/ msc-guide.pdf