康涅狄格大学本科精算专业

　　疫情爆发之后，美国几十万人失去了生命，而美国政府采取的应对措施也非常的消极。不过目前并没有影响到美国的教学实例，美国仍然有多所享誉全球的综合性学校，比如康涅狄格大学。康涅狄格大学是一所典型的公立学校，该校的专业设置非常的广泛，有一部分学生在国内读完高中后，为了避开高考这座独木桥，直接申请了康涅狄格大学的精算专业，那么问题来了康涅狄格大学本科有精算专业吗?
　　
　　康涅狄格大学本科有精算专业吗
　　
　　据了解，该校有精算专业，并且精算专业是其优势专业之一。
　　
　　Core Courses:核心课程
　　
　　SOA exam connection and VEE credit are indicated where applicable.
　　
　　At least four of:至少在以下课程中选4门
　　
　　Math 5620: Financial Math I – Theory of interest (3 F S) – connection to Exam FM
　　
　　Math 5621: Financial Math II – Theory of Corporate Finance (4 F S) – credit for Corp. Fin. VEE
　　
　　Math 5660: Advanced Financial Math – Stochastic Finance (3 F S) – connection to Exam MFE
　　
　　Math 5630: Actuarial Math I (4 F) – connection to Exam MLC
　　
　　Math 5631: Actuarial Math II (4 S) – connection to Exam MLC
　　
　　Math 5633: Survival Models (3) – connection to Exams MLC and C; not offered in recent years
　　
　　Math 5637: Risk Theory (3 F) – connection to SOA Exam C and CAS Exam 3
　　
　　Math 5640: Advanced Topics in Actuarial Math I – Model Construction (3 F) – connection to Exam C
　　
　　Math 5641: Advanced Topics in Actuarial Math II – Credibility Theory (3 S) – connection to Exam C
　　
　　Math 5800-005 Yield Curve Models (3 S) – some connection to Exam MFE
　　
　　Math 5800-043: General Insurance: Pricing and Reserving (3 S) – connection to CAS Exam 5
　　
　　Elective Courses:选修课程
　　
　　Select additional courses from the required list, and/or select from the following (no more than 6 credits of undergraduate courses 3000+ can be credited towards the MS degree):
　　
　　Math 3170: Elementary Stochastic Processes (3 S) – connection to Exam C
　　
　　Stat 3965: Elementary Stochastic Processes (3 F) – equivalent to Math 3170
　　
　　Math 3545: Actuarial Case Studies Using SAS (1 F S)
　　
　　Math 3621: Actuarial Statistics (3 F S) – credit for Regression Analysis VEE and Time Series VEE
　　
　　Math 5635: Simulation (3 S) – connection to Exam C, not offered in recent years
　　
　　Math 5800-018: Fundamentals of Financial Math (3 F) – some connection to exam MFE
　　
　　Math 5800-030: Financial Programming and Modeling (3 F S)
　　
　　Math 5800-031: Financial Data Mining with Big Data (3 F S)
　　
　　Math 5850: Graduate Field Study Internship (1-3 F S Summer) – may be repeated for credit, but no more than 3 credits can apply toward the degree requirement
　　
　　Math 5110: Introduction to Modern Analysis (3 F)
　　
　　Math 5111: Measure and Integration (3 S) – consult advisor first
　　
　　Math 5160: Probability and Stochastic Processes I (3 F) – consult advisor first
　　
　　Math 5161: Probability and Stochastic Processes II (3 S) – with permission
　　
　　Acct 5121: Financial Accounting and Reporting (3 F S) – strongly encouraged, but not required
　　
　　Acct 5327: Financial Statement Analysis (3 F S)
　　
　　Fnce 5202: Investments and Securities Analysis (3)- usually Hartford campus
　　
　　Fnce 5504: Options and Futures (3) – usually Hartford campus
　　
　　Fnce 5512: Fixed Income Instruments (3) – usually Hartford campus
　　
　　Fnce 5151: Introduction to Economic Markets (3) – usually Hartford campus – credit for Microeconomics VEE and Macroeconomics VEE
　　
　　Stat 5361: Statistical Computing – Large Financial Models (3 S)
　　
　　Stat 5585: Mathematical Statistics I (3 F)
　　
　　Stat 5685: Mathematical Statistics II (3 S)
　　
　　Stat 5505: Applied Statistics I (3 F)
　　
　　Stat 5605: Applied Statistics II (3 S)
　　
　　Stat 5315 or 3115: Analysis of Experiments (3 F S) – credit for Regression Analysis VEE
　　
　　Stat 5725: Linear Statistical Models (3) Credit for Regression Analysis VEE
　　
　　Stat 5825 or 4825: Applied Time Series (3 F S) – credit for Time Series VEE
　　
　　Econ 5201: Microeconomics (3 F S) – credit for Microeconomics VEE
　　
　　Econ 5202: Macroeconomics (3 F S) – credit for Macroeconomics VEE
　　
　　Econ 5301: Mathematical Economics (3 F)
　　
　　Econ 5311: Econometrics I (3 F S) – credit for Regression Analysis VEE and Time Series VEE
　　
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