MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
MS in Applied Mathematics
Boston
INTAKE: Jan & Sept
Program Overview
The MS in Applied Mathematics program at Northeastern University provides students with a deep understanding of the mathematical methods and computational techniques used to analyze and solve complex problems. The curriculum is designed to equip students with the skills needed for roles that require quantitative problem-solving, mathematical modeling, and data analysis. The program offers flexibility, allowing students to tailor their education according to their career interests, whether in academia, industry, or research. With a strong focus on applied mathematical theory, the program is ideal for those looking to use mathematics to drive solutions in diverse fields.
Curriculum: The curriculum of the MS in Applied Mathematics at Northeastern University covers a wide array of topics designed to develop expertise in both theoretical and applied mathematics. Core courses include differential equations, linear algebra, numerical analysis, and probability theory. Students also explore advanced topics such as optimization, mathematical modeling, and stochastic processes. The program includes opportunities for practical application of mathematical methods through projects, electives, and a final thesis or capstone project, allowing students to specialize in areas such as financial mathematics, data science, operations research, or engineering mathematics.
Research Focus: Northeastern University fosters a strong research-oriented environment in the MS in Applied Mathematics program, with students encouraged to engage in research across multiple areas of applied mathematics. Research topics often involve mathematical modeling, computational mathematics, and the development of algorithms for real-world applications. Students have opportunities to collaborate with faculty members and industry partners on projects that address critical issues in fields like climate modeling, data analytics, machine learning, and computational biology. The university's focus on interdisciplinary research ensures that students are exposed to a variety of perspectives and methodologies, enhancing their ability to tackle complex mathematical problems.
Industry Engagement: Northeastern University’s emphasis on experiential learning provides students in the MS in Applied Mathematics program with valuable opportunities to engage with industry partners. The university’s renowned co-op program allows students to work with top-tier companies in sectors such as technology, finance, and healthcare, where they apply their mathematical skills to solve practical problems. These industry placements not only provide hands-on experience but also help students build professional networks and gain insight into current industry trends. Furthermore, the university’s connections with leading research institutions provide additional opportunities for collaboration and internships in mathematical research and application.
Global Perspective: The MS in Applied Mathematics program at Northeastern University prepares students to address global challenges by applying mathematical techniques to problems with worldwide implications. The program’s international perspective is supported by diverse faculty and student bodies, as well as research collaborations with global institutions. Students are exposed to a range of global issues that require mathematical solutions, including climate change modeling, global health data analysis, and international economics. By understanding how mathematics can be applied to solve problems across borders, students are well-equipped to contribute to global solutions in a variety of fields.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 59616
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.
Graduates of the MS in Applied Mathematics program from Northeastern University are equipped with the skills to excel in a variety of fields that demand strong analytical and quantitative abilities. With the knowledge of advanced mathematical techniques, computational methods, and problem-solving strategies, graduates can pursue a range of exciting career paths across industries such as technology, finance, healthcare, and engineering.
Data Scientist: Data scientists use statistical, mathematical, and computational techniques to analyze complex data sets, uncover patterns, and generate actionable insights. Graduates can apply their expertise in machine learning, data mining, and predictive modeling to help organizations make data-driven decisions.
Quantitative Analyst (Quant): Often employed in finance and banking, quantitative analysts use mathematical models and statistical methods to analyze financial markets and risks. They develop algorithms to optimize trading strategies, assess investment opportunities, and forecast economic trends.
Operations Research Analyst: Graduates can work as operations research analysts, applying mathematical models to solve complex business and operational problems. They help organizations optimize processes, improve efficiency, and enhance decision-making in areas like logistics, supply chain management, and resource allocation.
Financial Engineer: With a strong foundation in applied mathematics, graduates can pursue careers in financial engineering, where they design and implement mathematical models to solve financial problems, such as risk management, portfolio optimization, and asset pricing. These professionals are often employed in investment banks, hedge funds, and insurance companies.
Actuary: Actuaries use mathematical models to assess risk and uncertainty in areas such as insurance, pensions, and healthcare. They apply statistical analysis to predict future events and help companies make informed financial decisions related to risk management.
Machine Learning Engineer: Graduates can also pursue roles as machine learning engineers, where they develop and implement algorithms and models that allow machines to learn from data and make decisions. Their expertise is crucial in industries such as artificial intelligence, autonomous systems, and robotics.
Mathematical Modeler: As mathematical modelers, graduates build and analyze mathematical representations of real-world phenomena. They use these models to solve problems in various fields, including environmental science, biology, economics, and engineering.
Biostatistician: Graduates interested in healthcare can pursue careers as biostatisticians, where they apply statistical and mathematical methods to analyze health data. They may work in pharmaceutical companies, research institutions, or government agencies, conducting research on diseases, clinical trials, and health policies.
Engineering Analyst: In industries such as aerospace, automotive, and manufacturing, graduates can work as engineering analysts, where they use mathematical methods to solve engineering problems related to design, optimization, and simulation.
Academic or Research Scientist: For those interested in continuing in academia or research, graduates can pursue positions as researchers or professors, focusing on advancing mathematical theories, developing new computational techniques, and applying mathematics to scientific inquiries in diverse fields.
Software Engineer: Graduates with an interest in computer science can work as software engineers, where they apply mathematical logic and algorithms to design and develop software applications, especially those requiring complex computational processes or real-time data analysis.
Operations Manager: With a background in applied mathematics, graduates can also take on management roles, where they use data analytics and optimization techniques to improve business operations, such as production planning, supply chain management, and resource allocation.
Risk Analyst: Risk analysts use mathematical models to identify and mitigate risks in areas like finance, insurance, and cybersecurity. Graduates can work for financial institutions, consulting firms, or government agencies to assess and manage potential risks.
