国际学生入学条件
The following minimum requirements apply to all graduate programs and will be verified by the Graduate Division:
A bachelor’s degree or recognized equivalent from an accredited institution;
A grade point average of B or better (3.0);
If the applicant comes from a country or political entity (e.g., Quebec) where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 on a 9-point scale (note that individual programs may set higher levels for any of these); and
Sufficient undergraduate training to do graduate work in the given field. Transcripts: Applicants may upload unofficial transcripts with your application for the departmental initial review. If the applicant is admitted, then official transcripts of all college-level work will be required. Letters of recommendation: Applicants may request online letters of recommendation through the online application system. Hard copies of recommendation letters must be sent directly to the program, not the Graduate Division. Applicants to the MS in epidemiology must have a strong background in biological, social, or mathematical science, which will provide a basis for the application of epidemiological methods and principles to the study of diseases. Common undergraduate majors for admitted applicants: Biological, social, or mathematical sciences, Common work experience for admitted applicants: Work experience in a public health setting
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IDP—雅思考试联合主办方

雅思考试总分
7.0
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雅思考试指南
- 雅思总分:7
- 托福网考总分:90
- 托福笔试总分:570
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
The Berkeley Master of Financial Engineering (MFE) degree offers two options of study: one-year graduate degree option and our part-time degree option (completed over two-years). Both are offered by the Haas School of Business and cover the same curriculum. Students enrolled in the MFE Program learn to combine finance, mathematics, data science and machine learning, and computer programming skills to optimize decision making. They enter careers in areas like portfolio management, trading, data science, quantitative research, and development, as well as strats and modeling among many others.<br><br>Graduates of the MFE Program find positions in hedge funds, fintech firms, commercial and investment banking, insurance and reinsurance, corporate treasuries, private equity and asset management. Specializations include asset/liability modeling/optimization, security structuring, derivative valuation, sales and trading, consulting, asset management, research, option-based securities valuation, special hedging, real-option investment analysis, and risk management.
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