MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
MS in Quantitative Finance
Boston
INTAKE: September
Program Overview
The MS in Quantitative Finance program at Northeastern University provides a rigorous, interdisciplinary approach to the study of finance, statistics, and computer science. The program is designed for individuals who aim to pursue careers in the fast-paced field of quantitative finance, blending theoretical knowledge with practical application. Students gain expertise in areas such as financial modeling, data analysis, algorithmic trading, and risk management, preparing them to address the complex financial challenges in global markets. This program is ideal for those with a strong mathematical and analytical background seeking to excel in the finance industry.
AACSB Accredited: Northeastern University’s MS in Quantitative Finance program is part of the D'Amore-McKim School of Business, which is accredited by the Association to Advance Collegiate Schools of Business (AACSB). This accreditation is a mark of excellence in business education and ensures that the program meets high standards of academic quality and relevance, offering students a competitive edge in the job market. The AACSB accreditation is recognized globally and is an assurance to employers and students that the program delivers a world-class education.
Curriculum: The MS in Quantitative Finance curriculum is designed to provide students with a strong foundation in both theoretical and practical aspects of finance. Core courses cover topics such as financial markets, econometrics, financial engineering, stochastic processes, and computational finance. Students are also exposed to advanced financial techniques, including options pricing, risk management strategies, and machine learning applications in finance. The program offers flexibility in choosing elective courses that align with students' specific interests, such as algorithmic trading, data science, or financial technology (FinTech). The curriculum is carefully structured to ensure that students are prepared for careers in both traditional finance and emerging fields like FinTech and quantitative research.
Research Focus: Northeastern University places a strong emphasis on research in quantitative finance, integrating cutting-edge theories and practices with real-world applications. Faculty and students engage in high-impact research on topics such as financial market modeling, risk assessment, algorithmic trading, and the application of machine learning in finance. The university encourages students to participate in research projects, often in collaboration with industry partners, which allows them to work on current financial challenges and contribute to the development of innovative solutions in the field.
Industry Engagement: The MS in Quantitative Finance program at Northeastern University offers significant industry engagement through its extensive network of corporate partners, internships, and co-op opportunities. The university’s strong connections with top financial institutions, hedge funds, and investment banks provide students with access to real-world experience and networking opportunities. Students are encouraged to take part in experiential learning, such as co-op placements, which allow them to apply classroom knowledge to solve complex problems in the finance industry. These industry connections enhance students' employability and provide a deeper understanding of the financial sector’s practical demands.
Global Perspective: The MS in Quantitative Finance program at Northeastern University offers a global perspective by preparing students to navigate the complexities of international financial markets. With a diverse student body and faculty, students are exposed to a wide range of financial practices from different regions of the world. The program emphasizes the importance of understanding global financial systems and international regulations, giving graduates the skills needed to work in multinational corporations, global financial markets, or international financial institutions. Moreover, Northeastern’s international partnerships and research collaborations further enhance students' global perspective on finance.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 54480
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Northeastern University in Boston offers a range of scholarship opportunities for international students to help alleviate the financial burden of studying in the United States. These scholarships are designed to support academically talented students from around the world, promoting diversity and fostering an inclusive campus environment.
Merit-Based Scholarships: Northeastern University provides merit-based scholarships to international students based on academic excellence and achievements. These scholarships are awarded during the admissions process and are highly competitive. The amount and criteria for these scholarships may vary, but they aim to recognize students who demonstrate exceptional academic performance, leadership potential, and a strong their chosen field of study.
Northeastern International Scholars Program: This prestigious program offers scholarships to outstanding international students who exhibit leadership, academic excellence, and a desire to contribute to the global community. The Northeastern International Scholars Program provides both financial support and opportunities for personal growth through networking events, leadership training, and involvement in community service initiatives.
Need-Based Financial Aid: Although Northeastern University does not offer need-based financial aid to international students, there are still many merit-based scholarships available that can significantly reduce tuition costs. However, international students are encouraged to seek external scholarships or funding from their home country to help cover the remaining costs.
External Scholarships and Funding: In addition to institutional scholarships, international students at Northeastern University can explore a variety of external scholarship opportunities from governments, foundations, and organizations in their home countries. Many international students receive funding from these sources to support their education at Northeastern.
MS in Quantitative Finance program at Northeastern University opens up a wide range of career opportunities in the financial industry and beyond. Graduates are well-equipped to pursue roles that require advanced analytical skills, quantitative methods, and deep financial knowledge, positioning them for success in the fast-paced and ever-evolving field of finance.
Quantitative Analyst (Quant): Graduates of the MS in Quantitative Finance program often pursue careers as quantitative analysts or "quants." These professionals use mathematical models, statistical techniques, and programming skills to analyze financial data and develop strategies for trading, risk management, and portfolio optimization. Quants work in investment banks, hedge funds, asset management firms, and financial technology companies, providing crucial insights for data-driven decision-making.
Risk Manager: With expertise in financial modeling and risk assessment, graduates can work as risk managers, responsible for identifying and managing potential risks in investment portfolios, financial transactions, and corporate strategies. They assess financial risks and develop strategies to mitigate them, often working for banks, insurance companies, and multinational corporations. Risk managers play a critical role in ensuring the stability and profitability of financial organizations.
Financial Engineer: Financial engineers apply mathematical and computational methods to solve complex financial problems, such as pricing financial derivatives, optimizing portfolios, or managing financial risk. Graduates with a background in quantitative finance can become financial engineers, working in financial institutions, technology firms, or consulting companies, where they design and implement innovative financial products and strategies.
Algorithmic Trader: The program equips graduates with the skills needed to work as algorithmic traders, where they use computer algorithms and mathematical models to execute high-frequency trades in financial markets. Algorithmic traders work for investment firms, hedge funds, and proprietary trading firms, developing automated trading systems that can quickly react to market conditions, maximizing returns and minimizing risks.
Investment Analyst/Portfolio Manager: Graduates can work as investment analysts or portfolio managers, where they evaluate financial markets, assess investment opportunities, and manage client portfolios. With advanced knowledge in financial modeling, asset allocation, and risk management, these professionals help clients make informed investment decisions and optimize portfolio performance.
Data Scientist (Finance): With a strong foundation in data analysis and programming, graduates can pursue careers as data scientists specializing in finance. These professionals use machine learning, statistical models, and big data analytics to extract actionable insights from large datasets. They work with financial institutions, fintech companies, and hedge funds, helping organizations make data-driven decisions and improve their financial strategies.
Financial Consultant: MS in Quantitative Finance graduates can also work as financial consultants, advising businesses, government agencies, or non-profit organizations on financial planning, investment strategies, and risk management. These consultants analyze financial data and recommend strategies for optimizing capital structure, managing risk, and maximizing financial performance.
Corporate Finance Analyst: Graduates can work as corporate finance analysts, supporting the financial management and decision-making processes of large corporations. They analyze financial data, forecast cash flows, and evaluate investment opportunities, helping companies make strategic financial decisions that drive growth and profitability.
FinTech Specialist: The growing field of financial technology (FinTech) offers numerous career opportunities for MS in Quantitative Finance graduates. As FinTech specialists, graduates can work on developing innovative technologies that disrupt traditional financial services, such as blockchain, peer-to-peer lending, and digital currencies. Their expertise in quantitative analysis, programming, and finance positions them to contribute to the rapid evolution of financial technologies.
Private Equity Analyst: Graduates can pursue careers in private equity, working as analysts who evaluate investment opportunities in private companies. They conduct financial due diligence, build financial models, and assess the viability of potential investments. Private equity analysts often work for private equity firms, venture capital firms, or investment banks.
Credit Analyst: As credit analysts, graduates assess the creditworthiness of individuals or organizations, evaluating financial statements, industry trends, and economic conditions to make recommendations about lending or borrowing. They play a key role in banks, insurance companies, and credit rating agencies, ensuring that financial institutions minimize the risk of default.
Academia and Research: For those interested in furthering their studies, some MS in Quantitative Finance graduates pursue careers in academia or research. As finance professors or researchers, they contribute to the development of new financial models, theories, and techniques. They may also engage in teaching and mentoring the next generation of quantitative finance professionals.
