西安大略3+1+1具体要求.doc

1. NUFE students who have successfully completed three years of study in one of the School of Finance programs at NUFE are eligible to apply for registration in Year 4 courses of one of the areas of concentration as outlined in the attached appendices offered by The Department of Statistical and Actuarial Sciences at UWO provided that the students meet the following requirements: (a) achievement of an average of 75% or greater in their first three years of study at NUFE (b) completion of the Years 1, 2, and 3 requirements set out in the appendices (c) achievement of an average of at least 75% in all Mathematics and Statistics courses taken in the first three years of study at NUFE, and (d) satisfactory evidence of proficiency in English as set out below. Students applying for registration in Year 4 courses whose first language is not English must furnish evidence to UWO of their proficiency in the use of the English language by a satisfactory achievement within two years of the student’s application to Year 4 in one of the following: (a) The Test of English as a Foreign Language www.toefl.org (TOEFL). The minimum acceptable score is 86, with no individual score below 20 for the internet based version; 213 for the standard electronic version; or 550 for the paper and pencil version. (b) The International English Language Testing Service www.ielts.org (IELTS) of the British Council. The minimum acceptable overall score is 6.5 out of 9 with no individual section less than 6.0. (c) The Michigan English Language Assessment Battery www.lsa.umich.edu/eli/melab.htm (MELAB) of the University of Michigan. Students must have at least 80 on each of the sections and an overall score of at least 85. (d) The Canadian Academic English Language Assessment www.cael.ca (CAEL Assessment). The minimum acceptable score is an overall score of 60. This requirement may be waived at the discretion of the Chair of the Department of Statistical and Actuarial Sciences at UWO on the basis of a student’s successful interview with the Chair or a designated faculty member from the Department of Statistical and Actuarial Sciences. 2. The upper limit on the number of qualified students to be accepted each year is 5, provided that all applicants meet the aforementioned requirements. 3. Credits earned by the students registered in Year 4 courses will be transferable to NUFE towards their Bachelor’s degree at NUFE. 4. Students who have been accepted for registration into Year 4 courses under this Agreement will receive a conditional offer of admission to UWO’s Masters of Science Program in Statistics with an area of concentration corresponding to Year 4 as outlined in the appendices. Admission to the Program is conditional on the following: (a) successful completion of a Bachelor’s degree at NUFE after completion of Year 4 courses, and (b) achievement of a cumulative average of at least 75%, with no grade below 60%, in the credits earned in Year 4 at UWO. 5. Students accepted into Year 4 courses under this Agreement will not be permitted to apply for transfers to other UWO programs. Should a student wish to transfer he/she must return to China and apply to the other program in accordance with the regulations of that program. 6. A conditional offer of admission to the Masters of Science program at UWO will be withdrawn if the student is not awarded a Bachelor's degree from NUFE upon completion of Year 4 courses at UWO, or if a student fails to achieve a cumulative average of at least 75%, with no grade below 60% in credits earned in Year 4 at UWO. There will not be an opportunity to repeat courses for the purpose of upgrading. 7. UWO will send NUFE official transcripts for all students completing Year 4 courses before June 1 of each year. 8. Students enrolled in the Masters of Science program must successfully complete the courses and degree requirements prescribed by UWO. They must maintain a cumulative average of at least 70% with no mark below 60% and are subject to all regulations applicable to graduate students at UWO. The list of current course and degree requirements are set out in the appendices and may be revised from time to time during the term of this Agreement by UWO. UWO shall provide NUFE with written notice of any such revisions. 9. Students must pay the full international tuition fees, including ancillary fees, as determined by UWO from time to time. UWO will provide NUFE with information about applicable fees. 10. A non-refundable fee of $200 (Cdn.) will be levied from each student to cover the registration process in Year 4 courses and the MSc conditional offer. This fee is in addition to the prescribed tuition and ancillary fees. 11. The Department of Statistical and Actuarial Sciences at UWO will offer a scholarship of $8,000 (Cdn.) to the top 20% of students entering the MSc program under this Agreement. All other students who enter the MSc program under this Agreement will receive a $4,000 scholarship. 12. Students are responsible for their own expenses during their study at UWO, including health insurance, transportation costs, accommodation, and living expenses. Students are required to enroll in the University Health Insurance Plan (UHIP). UWO will provide NUFE with information about these expenses. 2 13. Students may apply for on-campus residence accommodation or may live off campus. UWO will provide information on how to apply for on-campus accommodation and information on off-campus housing alternatives. 14. NUFE students who are accepted for registration under the arrangements of this agreement at UWO must demonstrate to Citizenship and Immigration Canada that they are eligible to study in Canada and that they have sufficient financial resources to complete two years of study at UWO. APPENDIX A to Agreement between The University of Western Ontario (UWO) and Nanjing University of Finance and Economics (NUFE) Requirements – Area of Concentration: Actuarial Science Years 1, 2, and 3: • • • • • • Calculus Linear Algebra Probability Statistics Additional required courses for the first three years of the undergraduate degree Additional elective courses for the first three years of the undergraduate degree Year 4: • Terms 1 and 2: AS 2553: Interest Theory AS 2427: Life Contingencies I AS 2555: Corporate Finance AS 2557: Financial Markets and Investments SS 3859: Regression Analysis Elective SS 3657: Intermediate Probability AS 3424: Loss Models I Elective SS 4861: Time Series Analysis Year 5 (MSc): • Terms 1 and 2: AS 9004: Survival Analysis AS 4824: Loss Models II AS 4426: Actuarial Practice AS 9005: Advanced Risk Theory AS 9007: Advanced Multi-State Models SS 3520: Financial Modelling 3 AS 3429: Life Contingencies II • Elective Term 3: Project: Research on a topic of current interest in actuarial sciences; written report; 25 minute oral presentation. Course Descriptions Years 1, 2, and 3: 1. Calculus – functions of one or more variables, inverse functions, limits, continuity, differentiation and partial differentiation, integration and multiple integration, fundamental theorem of calculus, Taylor’s series. 2. Linear Algebra – matrices and vectors; inner products, scalar and matrix multiplication and addition, matrix inversion, transposition, properties of singular matrices, vector spaces and subspaces, basis, dimension. 3. Probability – axioms of probability, conditional probability and independence, discrete and continuous random variables and their distributions, expectation, variance, normal and standard normal random variables, gamma random variables, central limit theorem. 4. Statistics – point and interval estimation, hypothesis testing for the mean of one and two samples, p-values. Year 4: 1. AS 2553: Mathematics of Finance Time value of money, accumulation and discount functions, effective rates of interest and discount and present values, as applied to annuities and other financial products, and/or applications including loan repayment schedules and methods. 2. AS 2427: Life Contingencies I Models for the time until death, single life annuity and life insurance present values and their probability distributions. 3. AS 2555: Corporate Finance Bond and stock pricing, financial market overview, inflation and interest rates, risk and return, discounted cashflow and project analysis, capital budgeting, cost of capital, market efficiency, corporate financing. 4. AS 2557: Financial Markets and Investments Basic securities, financial market conventions, swaps, arbitrage pricing and hedging of forwards/futures, equity options, bonds, theories of the term structure, factors affecting option prices, arbitrage relations of calls and puts, trading strategies involving options, binomial model for stock prices, option pricing by replication under the binomial model. 5. SS 3859: Regression Analysis 4 Multiple linear regression, Gauss-Markov theorem, Cochran's theorem, Craig's theorem, stepwise regression, polynomial regression, use of indicator variables, and regression diagnostics. 6. SS 3657: Intermediate Probability A continuation of the study of multivariate probability and stochastic processes. This course builds on the background developed in earlier courses, and focuses on the more advanced aspects of multivariate probability, namely transformations where the domain of random variables must be carefully considered. 7. AS 3424: Loss Models I Selection, calibration, validation, and application of frequency and severity models for insured losses. 8. SS 4861: Time Series Analysis ARIMA models, seasonality, dynamic regression, model building using an interactive computer package, forecasting, intervention analysis, control, applications in econometrics, business, and other areas. MSc Level Courses 1. AS 9004: Survival Analysis Survival models, nonparametric estimation of the survival function, one and two or more sample hypothesis tests, inference for semiparametric regression models, inference for parametric regression models. 2. AS 4824: Loss Models II Limited fluctuation credibility, greatest accuracy credibility, empirical Bayes parameter estimation, classical surplus process, adjustment coefficient, probability of ruin, maximal aggregate loss. 3. AS 4426: Actuarial Practice Introduction to the major areas and issues of actuarial practice, including insurance and annuity product design, pricing and valuation, analysis of the cost of pensions and other employee benefits, asset liability management and professionalism. 4. AS 3429: Life Contingencies II Single life annuity and life insurance loss random variables and their distributions, with applications to the analysis of benefit premiums and reserves. 5. AS 9005: Advanced Risk Theory Distributions and methods for modeling insurance losses; basic utility theory and principles of insurance premium calculation; compound Poisson risk process and insurance ruin theory. 5 6. AS 9007: Advanced Multi-State Models Analysis of probability distributions and present values associated with multiple life models, multiple decrement models and more general multi-state models. 7. SS 3520: Financial Modelling I Discrete-time market models, option pricing and replication, risk-neutral valuation and martingale measures, and the fundamental theorem of asset pricing. Discrete-time Black-Scholes. Value-at-risk, mean-variance portfolio analysis, capital asset pricing model. Discrete-time interest rate models. Duration, convexity and immunization. Simulation. APPENDIX B to Agreement between The University of Western Ontario (UWO) and Nanjing University of Finance and Economics (NUFE) Requirements – Area of Concentration: Statistics Years 1, 2, and 3: • • • • • • Calculus Linear Algebra Probability Statistics Additional required courses for the first three years of the undergraduate degree Additional elective courses for the first three years of the undergraduate degree Year 4: • Terms 1 and 2: SS 4846: Experimental Design SS 3858: Mathematical Statistics SS 3859: Regression Analysis Elective SS 3657: Intermediate Probability SS 3850: Data Analysis SS 4853: Sampling Theory and Methods SS 4861: Time Series Analysis Elective SS 2864: Statistical Programming Year 5 (MSc): • Terms 1 and 2: 6 Students take 8 courses in probability and statistics, 6 of which must be at the graduate level. Additional details on the MSc program in Statistics at UWO can be found on the webpage: http://www.stats.uwo.ca/gradstudies/handbook_new.htm#Graduate%20P rograms • Term 3: Project: Research on a topic of current interest in statistics; written report; 25 minute oral presentation. Course Descriptions Years 1, 2, and 3: 1. Calculus – functions of one or more variables, inverse functions, limits, continuity, differentiation and partial differentiation, integration and multiple integration, fundamental theorem of calculus, Taylor’s series. 2. Linear Algebra – matrices and vectors; inner products, scalar and matrix multiplication and addition, matrix inversion, transposition, properties of singular matrices, vector spaces and subspaces, basis, dimension. 3. Probability – axioms of probability, conditional probability and independence, discrete and continuous random variables and their distributions, expectation, variance, normal and standard normal random variables, gamma random variables, central limit theorem. 4. Statistics – point and interval estimation, hypothesis testing for the mean of one and two samples, p-values. Year 4: 1. SS 2864: Statistical Programming An introduction to programming using a high level language (currently R). 2. SS 3858: Mathematical Statistics Point estimation: sufficiency, completeness, consistency, unbiasedness, Cramer-Rao inequality, Rao-Blackwell theorem, Hypotheses tests: uniformly most powerful tests, likelihood ratio tests. 3. SS 3859: Regression Analysis Multiple linear regression, Gauss-Markov theorem, Cochran’s theorem, Craig’s theorem, stepwise regression, polynomial regression, use of indicator variables, and regression diagnostics. 4. SS 3850: Data Analysis A course in applied statistical computing using popular statistical software such as R or SAS. The primary objective of this course is to strengthen students’ applied statistics skills and statistical problem solving abilities. At the end of the course 7 they should be able to identify suitable statistical methodologies for different situations and critically evaluate the appropriateness of model assumptions. 5. SS 3657: Intermediate Probability A continuation of the study of multivariate probability and stochastic processes. This course builds on the background developed in earlier courses, and focuses on the more advanced aspects of multivariate probability, namely transformations where the domain of random variables must be carefully considered. 6. SS 4853: Sampling Theory and Methods Simple random sampling with and without replacement, stratification, systematic sampling, cluster and multistage clustering, ratio and regression estimation, models in surveys, survey design, estimation and analysis. 7. SS 4846: Experimental Design Completely randomized designs, randomized complete and incomplete block designs, factorial and fractional factorial designs, latin square designs, hierarchical designs, random and fixed effect models. 8. SS 4861: Time Series Analysis ARIMA models, seasonality, dynamic regression, model building using an interactive computer package, forecasting, intervention analysis, control, applications in econometrics, business, and other areas. MSc Level Courses The following courses are offered each year: • • • • • • • Statistical Science 9657: Advanced Probability Statistical Science 9850: Advanced Data Analysis Statistical Science 9030: Topics in Statistical Inference Statistical Science 9864: Statistical Computing Statistical Science 9924: Advanced Regression Statistical Science 9055: Generalized Linear Models Actuarial Science 9004: Survival Analysis The following courses are offered occasionally: • • • • Statistical Science 9848: Multivariate Analysis Statistical Science 9945: Longitudinal Data Analysis Statistical Science 9967: Risk and Queuing Theory Statistical Science 9907: Bayesian/MCMC Analysis Students who have taken a course in ordinary differential equations and the SS3520 8 Financial Modelling course may opt to undertake the Master`s in Statistics(Financial Modelling) instead of the above program. Course requirements for the Financial Modelling Master` s program are listed on the UWO Department of Statistical and Actuarial Sciences webpage. 9