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3.72
Avg. GPA
26
Avg. Age
2.6 Yrs.
Avg. Exp.
87
Class Size
24Â
Months Duration
Short Answer – The average GMAT score at HEC Paris is 690 for the last entering class. If you score above 690, you have a fair shot and you will receive an encouraging response to your profile evaluation from the admission committee.Â
Long Answer – There is no such thing as a safe score, higher is always better. In our years of consulting experience, we have seen our clients with 640 getting selected into top schools like INSEAD and on the other hand, someone with a 770 getting rejected too. A good benchmark that we advise all our clients to beat is the average GMAT score of the last entering class as mentioned in the Class profile published every year. Scoring above the average gets you a fair shot;Â
“The higher your score, the better is it for your interview or admission chance.”Â
If you plan to apply with a score that is below the average, then you are starting a fight with one hand tied behind your back or, let’s say, you are starting a few yards behind your competitors. You can definitely catch up in other sections of the application by writing outstanding essays or performing really well in an interview later. But it is always nice to start ahead of the competitor. A higher GMAT score helps one gain a competitive advantage.
“What if you are from the over represented Indian or Asian Pool?”
The over-represented candidate pool of Indian or Chinese applicants usually goes through a rigorous preparation process for GMAT, with a lot of Indian applicants scoring quite high. Hence, the overall competition and the Average score for this diaspora goes up by a few notches. That is why we recommend candidates within the most over-represented profiles to shoot at least 20 points higher than the school’s class profile average.Â
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The average salary at Berkley HAAS MIF for the last graduating class was $150,190. 99% of the class was employed with 3 months of graduation with majority of class going into consulting (39%), Finance (43%) and technology (8%) oriented functional roles.Â
Top financial institutions and technology companies are among those that hire Haas graduates as interns and full-time employees. Employers seek out Berkeley MFE students, because they demonstrate not only a mastery of powerful quantitative and management tools, but also a solid understanding of best practices for the changing technological, global, and human dimensions of business.
Employed within 3 months of graduation
Avg. Salary
Â
39%
Consulting
43%Â
Finance
8%
Technology
9%Â
others
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€ 80,486Â
Tuition Fee
+Â
€ 33,932
Living Cost
Cost of Attendance
The Tuition fees for Berkley HAAS MIF is $80,486Â and an additional $33,932Â in living cost.Â
A Berkeley MFE degree is an investment in yourself. Financing any major investment can be challenging, and Berkley is committed to help you explore all the financing options available, including scholarships and loans. Which can help you build a financial bridge between your MFE tuition costs and your career goals.
7
QS Top MIF
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We strongly advise all our clients to have a proper excel sheet or a timetables mapped out.
Once you are done with GMAT the entire application process usually take 4-6 weeks
Step 1
GMAT / GRE Score
2-3 months.
If you are not sure about what score to target then look at the average score of the schools you want and shoot above the average.Â
Step 2
Profile Evaluation
 1-2 weeks.
Get your profile evaluated from a professional consultant and figure out what schools you can target based on your profile
Step 3
Application Prep
3-4 weeks at least.Â
Start writing at least 1 month in advance of their 1st deadline. First application usually takes the longest.
Step 4
Interview Prep
1 week
School will notify you and give you roughly 1 week to schedule your interview. Ideally, start your prep ASAP and Do some mock interviews.
The Haas MFE Program is one of only two degree programs in financial engineering offered solely under the auspices of a business school. Most financial engineering programs are taught in mathematics, engineering, or operations research departments. As a result, MFE students learn about computational finance within the context of business and economic principles, and enjoy the additional advantages of the business school’s career services, corporate contacts, and orientation towards business applications. The Berkeley MFE program is also the only financial engineering program that includes mid-program, winter internship as part of the curriculum.
MBA: The differences between an MFE and MBA are numerous. Some of the differences are obvious, for example the MFE program is one year, while an MBA typically takes two years. The MFE is a Master’s degree in a specialized type of Finance, and an MBA is a more general, well-rounded business degree. Courses you might expect to take in an MBA program would be in Marketing, HR/Management, Accounting, and Finance. In the MFE program, we only cover these topics as they relate to the specific field of financial engineering. Most MBA programs do not require the high level of math, analytic ability, or computer programming experience required by the MFE program. The combination of skills obtained by MFE graduates (understanding of complex financial strategies, financial modeling ability. and computational proficiency) are difficult for employers to find in graduates of standard MBA or Engineering programs.
PhD: A PhD can take 5 to 6 years and is recommended for students who want to pursue a career in academia. To some extent, the MFE may be seen as an attractive alternative to a doctoral program in finance for those interested in commercial rather than academic careers.
CFA (Chartered Financial Analyst): Many people in the finance industry get their CFA in addition to advanced degrees in finance. The main difference is that a CFA is an independent certification process, not an academic distinction. For some jobs it is desirable to have both, but they are not interchangeable by definition.
The MFE program looks for candidates with a background in finance, economics, statistics, mathematics, engineering, computer science or other similar quantitative fields.
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