Graduate School
Graduate School Admissions Support Programs!
Favorite
【Finance / Financial Engineering Graduate Programs】 Land a $500k+ Career in Global Finance! Talk to Alpha Now!
Register now and see more!
Top 5 Knowhows
Top 5 Advisory
Hello, this is TJ, the CEO of Alpha Advisors!
In this article, I’ll introduce top-tier Master of Finance (MFin) and Financial Engineering (MFE) programs in the U.S. and Asia. At Alpha Advisors, we’ve supported hundreds of successful applicants to world-class graduate programs including Harvard, MIT, Chicago Booth, Stanford, Columbia, UC Berkeley, LBS, HEC Paris, and Oxford. We've also guided clients to job offers from global finance giants such as Goldman Sachs, Morgan Stanley, J.P. Morgan, BlackRock, Citadel, PIMCO, and Point72.
Recently, we’ve seen a surge in interest from those aiming to break into global investment banks and hedge funds—or even pursue careers with annual compensation exceeding $500k. If you're someone who wants to build wealth fast, finance is one of the most lucrative paths. Especially in global firms, base salaries of ¥30–50 million are common, with total comp (including bonuses) often exceeding ¥100 million.
To break into these elite careers, Master of Finance (MFin) and Financial Engineering (MFE) programs have become some of the most powerful tools. MFin programs are especially attractive for those from non-finance or liberal arts backgrounds, offering a balanced approach to both finance theory and business skills.
MFE programs, on the other hand, focus heavily on quantitative analysis, mathematical modeling, and programming, and are ideal for those aiming to become traders, asset managers, hedge fund professionals, or quants in finance x tech roles.
The schools featured in this article are among the top MFin / MFE programs in the U.S. and Singapore, and are known for placing graduates in high-paying global finance roles including investment banking, quantitative finance, trading, research, hedge funds, fintech, and private equity.
At Alpha Advisors, we provide end-to-end support for MFin and MFE applicants—from school selection and application strategy to essays, recommendations, interviews, and even post-graduation job placement in global finance. Every year, we help complete beginners get into top MFin/MFE programs and land jobs at the world’s most prestigious companies.
If you’re wondering,
“Should I choose MFin or MFE?”
“Which school is right for me?”
“What should I start doing today to get accepted?”
then don’t hesitate to book a free one-on-one consultation with Alpha.
We’ll build a customized strategy for your background, goals, and timeline—and help you achieve both admission and global career success.
Free Consultation Here! > Free Consultation
Finance / Financial Engineering Graduate Programs
① University of Chicago (Master in Finance)
Program Highlights
The Master in Finance (MiF) at the University of Chicago Booth School of Business is a 15-month intensive program that requires a summer internship. It’s designed to prepare students for careers across asset management, fintech, and investment banking, with a curriculum incorporating cutting-edge technologies like AI, machine learning, and blockchain.
The program begins with four core courses: Investments, Corporate Finance, Data Analytics, and Financial Accounting, followed by nine electives (13 courses total). Students can also choose a focus track—Asset Management, Investment Banking, or Fintech—to tailor their studies to their career goals.
Chicago Booth boasts a world-renowned faculty in finance, offering a balanced education that is both theoretical and applied. The program starts with an intensive career orientation, and includes industry speaker series and internships, allowing students to integrate classroom learning with real-world practice.
Admissions Requirements
Applicants are expected to have an undergraduate degree in a quantitative discipline. Courses in linear algebra, statistics, multivariable calculus, and programming (e.g., Python or C++) are highly recommended.
・GRE or GMAT score is required (either accepted)
・TOEFL iBT 104+ (26+ per section) or IELTS 7.0+ (7.0+ per section) required for non-native English speakers
・Application materials include academic transcripts, resume, two letters of recommendation, and essays
Post-Graduation Career Outcomes
Chicago Booth’s MiF program boasts exceptional job placement rates, with graduates securing high-paying finance roles across a variety of sectors:
・Asset Management
・Investment Banking
・Hedge Funds
・Fintech Companies
Graduates are equipped with robust knowledge and practical skills, earning top-tier compensation packages. The school provides comprehensive career support, including Leaders in Finance speaker series, alumni mentoring, and dedicated career advisors. With Booth’s global brand and alumni network, many students receive offers even before graduation, securing roles at elite firms around the world.
② New York University (Financial Engineering)
Program Highlights
NYU’s M.S. in Financial Engineering is a rigorous and well-balanced program that bridges financial theory and real-world practice. The curriculum is structured progressively from foundation to application, and includes:
・Derivative risk analysis
・Financial IT
・Algorithmic trading using big data
・Machine learning and data analytics
・Fintech applications
Students can choose from multiple Focus Areas to tailor their studies to personal interests and career goals. The program emphasizes practical skills, with financial software development labs and a required capstone project designed to translate theory into action.
The program is offered in a 1-year full-time format, with part-time options also available. Located close to Wall Street, the campus offers frequent industry seminars and events in collaboration with leading financial institutions.
Admissions Requirements
Applicants are expected to have strong backgrounds in quantitative and programming skills. Specific prerequisites include:
・Completed coursework in linear algebra, probability, calculus, and statistics
・Experience in object-oriented programming languages such as C++ or Python
・GRE or GMAT submission is optional as of 2023
・Minimum English test scores: TOEFL iBT 90, IELTS 7.0, Duolingo 125, or PTE 65
・Duolingo and PTE are both accepted
Application materials include transcripts, resume, two letters of recommendation, a statement of purpose, and a 1-minute video presentation. Selection is based on aptitude for financial engineering, quantitative skills, logical reasoning, and English communication ability.
Its flexible testing policy and support for Duolingo have made this program increasingly popular among international applicants.
Career Outcomes
The program boasts excellent job placement. Graduates earn an average base salary of approximately $110,000, with an additional signing bonus of around $11,000. Roughly 67% secure job offers before graduation, and 89% find employment within 90 days.
Top employers include:
・Investment banks (Goldman Sachs, Morgan Stanley, J.P. Morgan)
・Asset management firms (BlackRock, PIMCO)
・Hedge funds and proprietary trading firms
・Tech firms (Google, Bloomberg)
③ Columbia University (Financial Engineering)
Program Highlights
The Master of Science in Financial Engineering at Columbia University is uniquely positioned in the heart of New York City, the world’s financial capital. Offered by the Department of Industrial Engineering and Operations Research at Columbia Engineering, the program emphasizes both academic depth and practical application of the latest tools, such as AI and machine learning.
Students choose one of seven concentrations (e.g., Financial Technology, Machine Learning Applications, Asset Management) to develop focused expertise. The overall curriculum places strong emphasis on advanced quantitative finance and programming, with many courses taught by current professionals in banking and quantitative research.
Students can also take advantage of dual-degree options with institutions in London and China, or broaden their education through interdisciplinary electives. The program’s structure equips students with both theoretical understanding (e.g., derivatives, stochastic processes, optimization) and technical implementation (e.g., coding, data analysis) within an immersive industry-connected environment.
Admissions Requirements
Applicants must demonstrate strong academic performance in quantitative disciplines such as computer science, mathematics, or engineering. While no minimum test score is formally published:
・GRE or GMAT scores are required
・Successful candidates typically score around 168 in the GRE Quantitative section
Although prerequisite coursework is not strictly defined, familiarity with C++ programming and multivariate statistics is strongly recommended.
English language requirements:
・TOEFL or IELTS is mandatory
・Recommended minimum: TOEFL iBT ~100 (the university-wide minimum is 90)
・Duolingo is not accepted
Required materials include academic transcripts, standardized test scores, letters of recommendation, and a personal statement of purpose. Evaluation is based on a holistic review of quantitative ability, academic record, and ability to communicate in professional English—an especially critical skill for programs based in NYC.
Career Outcomes
Columbia’s MFE program is widely recognized for its outstanding employment outcomes, with nearly 100% of students placed within three months of graduation.
Career placements are particularly strong in the following sectors:
・Investment banking (~69%)
・Asset management and hedge funds (~28%)
Notable employers include:
・Top global banks: Goldman Sachs, J.P. Morgan, Morgan Stanley, Bank of America, Barclays
・Leading asset managers and hedge funds: BlackRock, PIMCO, Citadel, Millennium Management
Students benefit from extensive networking opportunities, including industry seminars and corporate presentations throughout the academic year. Columbia’s brand power and strong alumni network further boost job placement, often providing mentorship and referrals from top-tier firms across industries.
As a result, the program is consistently recognized for its “Outstanding Placement,” with many graduates reporting starting salaries in the $120K–$150K range.
④ Carnegie Mellon University (Computational Finance)
Program Highlights
Carnegie Mellon’s Master of Science in Computational Finance (MSCF) is widely recognized as the world’s first dedicated program in computational finance. The curriculum emphasizes the application of advanced mathematical models and computer science in quantitative finance, covering topics such as stochastic processes, numerical methods, and machine learning.
Students study a mix of data science, time series analysis, statistical arbitrage, and asset management, blending theoretical rigor with hands-on practice. A strong focus is placed on action-based learning, including corporate-sponsored project courses (ProSeminar) and Finance Lab, where students tackle real-world financial challenges in small teams.
The program spans 17 months full-time, with a dual-campus structure in New York and Pittsburgh. A mandatory summer internship is built into the curriculum, and for the past three years, the internship participation rate has remained at 100%. The program’s philosophy is “Hands-on Quant Training,” preparing students to become immediate contributors in quantitative finance through projects involving data analytics, pricing models, and risk evaluation, all implemented using Python or C++.
Before enrollment, students are expected to complete prerequisites in multivariable calculus (2 semesters), linear algebra, probability (calculus-based), and programming, ensuring strong foundational readiness.
Admissions Requirements
Applicants must demonstrate strong backgrounds in mathematics, statistics, and programming. Specific requirements include:
・University-level coursework in multivariable calculus, linear algebra, probability, and statistics
・At least one semester of object-oriented programming experience (C++, Java, Python)
・GRE or GMAT score is required (official score must be sent directly)
・TOEFL iBT (100+) or IELTS is required for non-native English speakers
・A 90-second video essay
・A technical interview that includes programming and math-based questions
Career Outcomes
MSCF is consistently ranked among the top programs in the U.S. for job placement. Over the past three years, 99% of job-seeking graduates have secured full-time roles within six months, and approximately 53% received offers before graduation.
・Average base salary: $137,000 (median $135,000)
・Average signing bonus: $27,000
・U.S.-based graduates average $138,000 in base salary
・Top earners report total compensation over $300,000
Top employers include:
・Investment banks: Goldman Sachs, J.P. Morgan, Morgan Stanley
・Hedge funds: Citadel, Point72
・Asset managers: BlackRock
・High-frequency trading firms: Tower Research Capital
Common roles include:
・Quantitative researcher
・Data scientist
・Trader
・Risk manager
・Strategist
The program offers comprehensive career support, including 1-on-1 coaching, mock interviews, and internship placement assistance, as well as access to a global alumni network of over 2,000 professionals. MSCF graduates frequently secure high-paying quantitative roles in New York, London, Hong Kong, and other major global financial centers. With a 99% employment rate within 3 months, MSCF is regarded as a “no-fail” program for job placement.
⑤ Massachusetts Institute of Technology (Master of Finance)
Program Highlights
MIT Sloan’s Master of Finance (MFin) program offers both 12-month and 18-month formats, making it one of the most flexible and elite finance degrees globally. Although labeled as “Finance,” the curriculum mirrors that of financial engineering programs, with intensive coursework in quantitative modeling, statistical methods, and financial theory.
Students may choose from multiple concentrations including Financial Engineering, Capital Markets, Corporate Finance, and Climate & Impact Finance, allowing them to personalize their academic path based on career goals. Courses are delivered in small cohorts, with an emphasis on action learning, including ProSeminars, Finance Lab, and company-sponsored projects, where theory is tested against real-world financial challenges.
Another standout is the opportunity to learn from world-renowned MIT faculty, who are pioneers in finance, data science, and economics. Graduates leave the program equipped with cutting-edge skills in financial modeling, data analytics, and machine learning, ready for high-impact careers in banking, asset management, and fintech.
Admissions Requirements
・GRE or GMAT is optional
・TOEFL/IELTS is not required (even for non-native speakers, unless otherwise specified)
・English proficiency is assessed primarily via interviews
This flexible testing policy makes MIT MFin an attractive option for candidates who may not have test scores ready in time. However, the program maintains very high expectations in quantitative proficiency, including:
・Knowledge of linear algebra, multivariable calculus, probability, and statistics
・Proficiency in Python or equivalent programming (a coding exam is administered post-enrollment)
Application materials include academic transcripts, essays, two letters of recommendation, and a resume. Selection is based on a holistic review of quantitative aptitude, passion for finance, professional vision, and communication skills. Candidates with less mathematical rigor may still be admitted based on relevant work experience or academic research.
Career Outcomes
MIT MFin graduates are highly sought-after in global finance, with 98% of 2024 job seekers accepting offers within six months, and over 50% receiving offers prior to graduation (by February).
Career outcomes by function include:
・Investment banking: ~25%
・Quantitative research / data science: ~23.3%
・Quantitative trading: ~18.1%
・Private equity / venture capital: ~9.5%
Top locations: New York (~28%), Hong Kong (13.7%), London (12.8%)
・Average base salary: $122,552 (median $121,000)
・Average signing bonus: $27,331
Graduates are hired by leading firms such as:
・Goldman Sachs, Morgan Stanley, J.P. Morgan, Barclays, UBS
・Citadel, D.E. Shaw, Two Sigma, BlackRock, PIMCO, Google, and sovereign wealth funds
With dedicated support from the Career Development Office (CDO), including 100% internship placement, corporate project opportunities, and elite networking, MIT MFin is often described as “the finance version of MIT”—a launching pad for high-powered global finance careers.
⑥University of California, Los Angeles（Financial Engineering）
Program Overview
UCLA’s Master of Financial Engineering (MFE) is a 15-month program that integrates theoretical and analytical skills with practical business applications. The curriculum includes a summer internship and a capstone Applied Finance Project, emphasizing hands-on training such as real-world trading simulations and algorithmic trading implementations.
Students gain exposure to cutting-edge financial topics through electives focused on cryptocurrencies, data analytics, and machine learning, as well as corporate-sponsored events. The project-based learning component enables students to solve real-world problems in teams, enhancing both problem-solving skills and professional networks.
Application Requirements
Applicants to the UCLA MFE program must meet the following criteria:
・Submission of a valid GMAT or GRE score (within 5 years) is mandatory
・A strong background in advanced mathematics and programming is effectively required
・A solid understanding of finance, including options, pricing theory, and risk concepts, is highly desirable
For non-native English speakers, the following scores are required:
・TOEFL iBT: 100 or higher (recommended minimum 25 per section)
・IELTS: 7.5 or higher
Application documents include two essays, a video interview, two letters of recommendation, a resume, and academic transcripts. Evaluation is holistic, focusing on quantitative aptitude, communication skills, teamwork, and leadership potential. Work experience is not required, but internships and credentials like the CFA are considered a plus.
Career Outcomes
UCLA MFE graduates are highly sought after in global finance and tech industries, with a 97% employment rate within six months of graduation. The average total compensation for the first year is approximately $137,000, with top employers including:
・Investment Banks (Goldman Sachs, Morgan Stanley, Bank of America)
・Asset Management Firms (BlackRock, PIMCO)
・Consulting Firms (Risk divisions of Big 4 firms)
・Tech Companies’ Finance Divisions (Google, Amazon)
Graduates typically pursue roles in quantitative analysis, risk management, portfolio management, structured products, and data science, operating at the intersection of finance and technology. The program’s dedicated career services team offers robust support through career fairs, company presentations, and alumni coaching, resulting in multiple offers for many students. In addition to strong starting salaries, rapid career progression to VP-level roles within a few years is a well-recognized outcome.
⑦University of California, Berkeley（Master of Financial Engineering）
Program Overview
UC Berkeley’s Master of Financial Engineering (MFE) is a globally acclaimed one-year program that covers a broad range of topics, including derivatives, fixed income pricing, risk management, stochastic processes, numerical analysis, and financial economics. The program consists of 40 credit units plus a financial engineering project.
Instruction is delivered not only by Berkeley faculty but also by professors from departments such as Mathematics, Statistics, Electrical Engineering, and Computer Science (EECS), alongside industry professionals from Wall Street including bankers, quantitative analysts, and data scientists. Students may also opt for intensive overseas modules held at institutions such as Oxford and Princeton.
All students are required to complete a 10- to 12-week mandatory internship, ensuring practical application of theoretical knowledge. The program’s mission is to develop “Doers”—professionals who combine advanced mathematical understanding with the ability to execute in real-world settings.
Application Requirements
Applicants must meet the following criteria:
・Possession of a four-year undergraduate degree
・A major in quantitative disciplines such as finance, economics, statistics, engineering, or computer science is preferred
・Work experience is not mandatory, but prior exposure to finance or IT industries is advantageous
・Minimum English proficiency: TOEFL iBT 85 or IELTS 6.0
・GMAT or GRE scores are optional (within 5 years)
Strong background in the following areas is expected:
・C++ and advanced Python programming skills
・Coursework in multivariate calculus, linear algebra, partial differential equations, numerical analysis, and probability/statistics
The application also emphasizes letters of recommendation, essays, and a clearly articulated career vision, requiring candidates to demonstrate a strong motivation for pursuing financial engineering and a clear future path.
Career Outcomes
Berkeley MFE graduates enjoy outstanding job placement success. For the Class of 2023, 96% were employed within three months of graduation, with many securing multiple offers before completing the program.
・Average base salary: $148,000 (median $150,000)
・Average signing bonus: $30,000
・Top total compensation: $275,000, with bonuses up to $110,000
Breakdown by industry:
・Investment Banking: ~46%
・Hedge Funds: 15%
・Proprietary Trading: 14%
・Asset Management: 13%
Breakdown by function:
・Quant Research and Portfolio Management: ~56%
・Structuring: 16%
・Trading: 15%
Top employers include Goldman Sachs, J.P. Morgan, Morgan Stanley, UBS, BlackRock, Millennium, Point72, Balyasny, and Tower Research.
⑧Singapore Management University（Master of Science in Quantitative Finance）
Program Overview
SMU’s Master of Science in Quantitative Finance (MQF) is an 18-month master’s program tailored to the needs of Asia’s financial markets (a 24-month part-time option is also available). The program emphasizes pricing, risk management, and quantitative trading, offering a practical and flexible learning experience.
The program offers two tracks:
・Singapore Track (completed entirely at SMU)
・International Option (a double-degree program with Bayes Business School in London)
The latter allows students to earn degrees from both Singapore and London, providing global exposure and professional networks. The curriculum includes market data analysis in trading labs, as well as studies on algorithmic trading and market microstructure, allowing students to build both practical skills and theoretical foundations. Students may also specialize in areas such as data science, quantitative trading, and risk analytics. The program fosters a global learning environment, with an average class age of 26 and 73% international students.
Application Requirements
Applicants must meet the following criteria:
・A bachelor’s degree with strong mathematical foundations (no specific major required)
・Submission of GMAT or GRE scores, or an SMU entrance test
English proficiency requirements:
・Singapore Track: TOEFL or IELTS (a TOEFL-equivalent score of 90 or above recommended)
・International Option: IELTS score of 7.0 or above, with at least 6.5 in writing
Compared to U.S. graduate programs, SMU’s admissions are less rigid in requiring formal training in mathematics or programming, making it a strong fit for applicants from non-technical or humanities backgrounds. While work experience is not mandatory, internships or relevant industry experience are advantageous.
Required documents include transcripts, test scores, letters of recommendation, and a statement of purpose. Admissions emphasize quantitative and programming ability, along with a clear motivation for entering the finance industry.
Career Outcomes
Graduates of the MQF program are highly regarded in the finance and technology sectors across Asia. Common career paths include:
・Quantitative analyst, risk management, investment banking, and trading roles
・Employers include: DBS Bank, OCBC Bank (Singaporean banks), J.P. Morgan, UBS, hedge funds, and fintech companies
The program is particularly known for producing talent in quant and risk management roles, where graduates apply financial engineering and programming skills to model development and risk analysis. Career support includes seminars, guest lectures, and corporate projects, helping students build strong professional networks. Roughly 60% of students receive job offers before graduation, with 80–90% placed within three months.
While salary data is not publicly disclosed, quant roles typically offer S$70,000 to S$90,000 annually, and graduates of the London track have also secured jobs in Europe. SMU’s MQF program is widely recognized as a premier gateway to quantitative finance in Asia, and is particularly recommended for those seeking employment in Singapore or the UK, or for students from non-STEM backgrounds.
⑨National University of Singapore（Financial Engineering）
Program Overview
The Master of Science in Financial Engineering (MFE) at NUS is one of Asia’s longest-established financial engineering programs, launched in 1999. Managed by the NUS Risk Management Institute (RMI), the program delivers a rigorous curriculum combining finance, mathematics, and computing.
The program places a strong emphasis on practical, hands-on training, aiming to develop professionals who can model, evaluate, and implement complex financial strategies. Core coursework includes derivatives, pricing models, risk management, investment technology, and computing, equipping students with industry-ready knowledge and skills.
Instruction is delivered by faculty from NUS’s finance, statistics, and mathematics departments, supplemented by industry practitioners. Both full-time (12–24 months) and part-time (18–48 months) formats are available, with partial online learning options (note: the first semester must be completed on campus in Singapore). The program also offers intensive overseas modules at universities like Oxford and Princeton, enhancing students’ global perspectives.
Application Requirements
・A four-year bachelor’s degree or equivalent with strong academic standing
・No specific major required, but a background in mathematics, physics, engineering, or computer science is preferred
・Work experience is not mandatory, though relevant professional experience is advantageous
・GRE or GMAT scores are optional, but positively considered if submitted
・English proficiency requirements: TOEFL iBT score of 85+ or IELTS score of 6.0+ (required for applicants whose undergraduate degree was not in English)
Career Outcomes
Graduates of the NUS MFE program pursue careers across a wide spectrum of industries, including investment banking (trading and risk), asset management, insurance, fintech, and sovereign financial institutions.
Many alumni build global careers in Singapore, Hong Kong, London, and New York, with 80–90% employment within three months of graduation, and about 60% securing job offers before graduation.
While exact salary data is not published, average annual compensation is estimated to be around USD 150,000, placing NUS MFE among the highest-tier programs in Asia. Graduates are valued as well-rounded specialists at the intersection of finance, quantitative analysis, and IT, filling a niche that MBA holders often cannot. They are recognized as top-tier talent in quantitative finance.
⑩Nanyang Technological University（Financial Engineering）
Program Overview
The MSc in Financial Engineering at Nanyang Technological University (NTU) is a one-year program (two years part-time) that integrates knowledge from finance, mathematics, and computer science. The program features a partnership with Carnegie Mellon University (CMU), offering students the option to participate in a short-term study program that includes intensive modules taught at CMU.
The curriculum emphasizes practical skills in areas such as derivatives pricing, portfolio management, C++ programming, and data science applications including AI and machine learning. Structured over three academic terms, the program enables accelerated learning. All students are required to complete an Applied Project and internship, gaining hands-on industry experience.
Leveraging NTU’s strong network across ASEAN and Chinese markets, the program offers numerous courses and projects focused on Southeast Asian market trends. NTU also collaborates with government agencies, and many students have completed internships at the Monetary Authority of Singapore (MAS).
Application Requirements
・Strong academic performance in mathematics, statistics, engineering, computer science, or related fields
・Submission of a valid GRE or GMAT score (within the last 5 years) (some degree holders may be exempt)
・English proficiency: TOEFL iBT score of 90+ or IELTS score of 6.5–7.0 is recommended (for non-native English speakers)
Application documents include academic transcripts, resume, essays (statement of purpose and career goals), and letters of recommendation. The admissions committee evaluates candidates based on their quantitative and programming skills, analytical ability, clarity of career vision, and teamwork orientation. While 2–3 years of work experience is a plus, fresh graduates are also welcome to apply.
Career Outcomes
Graduates of the NTU MFE program achieve near-universal employment within 3–6 months of graduation, with approximately 60% receiving job offers by graduation and nearly 90% employed within three months.
Top employers include:
・Commercial banks such as DBS Bank, OCBC Bank, HSBC, and Citibank
・Investment banks including J.P. Morgan and Goldman Sachs (Singapore offices)
・Sovereign wealth funds such as GIC and Temasek
・Hedge funds, proprietary trading firms, and Big 4 consulting firms
Popular career paths include quantitative analyst, structured products specialist, risk analyst, trader, and data scientist—roles that sit at the intersection of technology and finance. NTU offers dedicated support through its Career Development Office, which provides internship placements, mock interviews, and alumni networking opportunities.
Starting salaries typically range between S$80,000 to S$100,000, and domestic compensation in Singapore is considered highly competitive. NTU MFE is widely recognized as one of Asia’s top financial engineering programs, and many Alpha students choose to apply to both top U.S. financial engineering programs and NTU as part of their application strategy.
Aim for a $500k+ Career with a Top Finance/Financial Engineering Master’s!
So far, we’ve introduced world-class Master of Finance (MFin) and Master of Financial Engineering (MFE) programs offered by institutions like the University of Chicago, MIT, Columbia, UC Berkeley, Carnegie Mellon, SMU, NUS, and NTU. These programs consistently produce top-tier professionals working at the highest levels in investment banking, hedge funds, asset management, quant research, fintech, and private equity.
However, these programs are extremely competitive, and success hinges on the quality of your application materials and the strategy behind school selection. Many candidates also struggle with choices like: MFin or MFE? The U.S. or Singapore? One-year or two-year program?
That’s exactly why you should reach out to Alpha Advisors. We don’t just help you with essays, resumes, recommendations, interviews, and campus visits—we support you from the very start by helping you define your long-term goals and choose the right schools strategically.
The ideal application strategy depends entirely on your background and goals. That’s why it’s crucial to plan early. At Alpha, we’ve helped candidates with no finance or programming experience—many even from humanities backgrounds—gain admission to the elite MFin/MFE programs mentioned above. Many of them are now earning ¥30 million to ¥100 million+ working at top global firms like Goldman Sachs, Citadel, BlackRock, J.P. Morgan, and Morgan Stanley.
If you’re wondering, “Which school is right for me?” or “What should I start doing now to get accepted?”, don’t hesitate—book your free consultation with Alpha today!
▼ Click here to schedule your free consultation > Free Consultation
Alpha is Your Partner for Overseas Graduate Admissions!
For over 17 years, Alpha Advisors has guided applicants to top global institutions such as Harvard, Stanford, MIT Sloan, Wharton, and Chicago Booth. We provide full-spectrum support not only for admission to MBA and graduate programs but also for career placement after graduation.
We’ve helped more than 50,000 candidates land positions at top global companies including Mitsubishi Corporation, Mitsui & Co., Goldman Sachs, Morgan Stanley, McKinsey, BCG, Google, Microsoft, Amazon, P&G, MUFG, Mizuho, and Toyota. Alpha offers premium programs such as Alpha Individual Coaching and Alpha Bootcamps, with tailored support throughout your application journey. From self-analysis, essay writing, and test prep (TOEFL, EA, etc.) to scholarship applications and interview training, we’ve got you covered with a proven methodology.
If you're serious about getting into a top school, let’s work together to craft your fastest, most effective path to success.
Start with Alpha’s “Career Strategy Advisory” program (just ¥48,000 with discounts available!). Sit down with TJ—Alpha's founder and a former Sumitomo Corporation executive, Chicago Booth MBA, and Goldman Sachs investment banker—to build a winning strategy for your MBA or graduate school application and long-term global career.
We’ll support you all the way to admission and beyond!
Interested? Schedule a free consultation now!
Click here for free consultation! > Free Consultation
Consult with a "top advisor" as soon as possible to discover your path to success and achieve your goals! If you're interested in individual advisory services, free consultations are available! After registration, you can access free consultations through the "Free Consultation Chat" in "My Page." For immediate questions or consultations, you can also use the chat feature in the bottom right of the page!
1. Alpha Individual Coaching starts with a free consultation!
Share your situation and concerns via our free consultation chat!
Click here for free consultation! > Free Consultation
2. After learning about your situation in the free consultation chat, our office will recommend the best individual coaching plan!
Includes course discounts and free access to Alpha Notes!
3. Once you've chosen your desired course, you can apply for individual coaching.
The entire application process can be completed online.
4. Begin Individual Coaching!
Achieve overwhelming success and lead a life you can be proud of!
Click here for free consultation! > Free Consultation
Interested in Alpha Advisors' individual advisory services? Contact us now for a free consultation!
Click here for free consultation! > Free Consultation
Let's achieve overwhelming success and lead the best life you can be proud of!