$87,264 /Yr
On-campus
full_time
Master of Engineering [M.Eng] Financial Engineering
- The Master of Financial Engineering at the University of California is a 1-year program.
- It is an on-campus program offered on a full-time basis.
- The program courses are anchored in cutting-edge research and integrate theories, frameworks, and practical applications in a seamless learning experience.
- Students need to successfully complete 30 units of coursework, including the Morgan Stanley Applied Finance Project, plus an internship or industry/independent study project.
- The classroom instruction delivers the financial engineering knowledge and best practices that students will put to use in the experiential learning that forms the heart of the program.
- It starts with a 12-week internship and continues with an applied finance project.
- Both of these experiences put students at the top of the queue when applying for jobs after graduation.
- All of the classes, starting with the pre-program coursework that build upon the previous ones to provide a solid foundation that reinforces what students have already learned.
- The program launch students career in finance, data science, or technology.
- students can do specialization in:
- Valuation
- Pricing
- Hedging
- Trading
- Data Science
- Risk Management
- Project Evaluation
- Portfolio Management
- Students in the class of 2019 placed in Fall Internships are 100%.
- Master of Financial Engineering program ranks 1st according to TFE Times, 2018.
Tution & Application Fees
| Year | Year 1 |
| Tuition Fees | $78142 |
| Health Insurance | $8150 |
| Books and supply | $972 |
| Total Fees | $87264 |
Examinations
| Exam Type | Exam Name | Score | Out of Score | Exam Level |
|---|---|---|---|---|
| TOEFL | Test of English as a Foreign Language | 90 | 120 | 3 |
| IELTS | International English Language Testing System | 7 | 9 | 3 |
| GRE | Graduate Record Examination | 316 | 340 | 2 |
| GMAT | Graduate Management Admission Test | 720 | 800 | 2 |
| PTE | Pearson Test of English | 54 | 90 | 3 |
Academic Eligibility:
- Students must complete a bachelor's degree or the recognized equivalent from an accredited institution.
- Students hold a satisfactory scholastic average, usually a minimum grade-point average (GPA) of 3.0 (B) on a 4.0 scale.
- A strong quantitative background including linear algebra, multivariate calculus, differential equations, numerical analysis, and advanced statistics and probability is required.
- The submission of either GMAT or GRE scores is required for this program but there is no minimum acceptable score.
Work Experience:
- Students have experience with statistical and econometric applications. (Examples: Sas, Gauss, RATS, S-Plus, and Garch.)
- Students also hold experience with mathematical tools. (Examples: MatLab, Mathematica, or MathCad.)
English Language proficiency:
- All students from countries or political entities in which the official language is not English are required to submit official evidence of English language proficiency.
- This applies to students from Bangladesh, Burma, Nepal, India, Pakistan, Latin America, the Middle East, the People’s Republic of China, Taiwan, Japan, Korea, Southeast Asia, most European countries, and Quebec (Canada).
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test to get admission to this program.