MS in Applied Mathematics

2 Years On Campus Masters Program

Northeastern University

Program Overview

The Master of Science in Applied Mathematics at Northeastern University develops advanced skills in mathematical modelling, statistics, data analysis and computational problem-solving. Students can specialise in Data Science, Mathematical Foundations of Intelligence or Operations Research, or choose electives, preparing for quantitative careers across technology, finance, engineering, research and industry.

Curriculum Structure

The program requires 32 semester hours with a minimum GPA of 3.0. Students complete core mathematics courses and select a concentration or electives option.

Year 1: Students build foundations through MATH 5110 – Applied Linear Algebra and Matrix Analysis, MATH 5131 – Introduction to Mathematical Methods and Modeling, MATH 5101 – Analysis 1: Functions of One Variable and MATH 7241 – Probability 1. They also study statistical methods through courses such as MATH 7342 – Mathematical Statistics and MATH 7343 – Applied Statistics.

Year 2: Students develop specialised expertise through courses such as MATH 7207 – Algorithms for Optimization, MATH 7243 – Machine Learning and Statistical Learning Theory 1, MATH 7203 – Numerical Analysis 1 and MATH 6241 – Stochastic Processes. Depending on their concentration, students may also complete industry-oriented projects or a master's project.

Focus Areas

Data Science, Mathematical Foundations of Intelligence, Operations Research, Mathematical Modelling, Statistics, Machine Learning, Artificial Intelligence, Numerical Analysis, Optimization.

Learning Outcomes

Develop mathematical models, analyse complex datasets, apply statistical methods, design optimisation techniques, understand machine learning algorithms, solve computational problems and support data-driven decision-making.

Professional Alignment (Accreditation)

The program is offered through Northeastern University's College of Science. No separate external professional accreditation is specified.

Reputation (Employability)

Northeastern integrates experiential learning and industry-oriented projects into its applied mathematics education. Students may also pursue an optional co-op experience, gaining professional exposure in relevant industries. A specific program-level employment rate is not published.

Experiential Learning (Research, Projects, Internships etc.)

At Northeastern University, the Master of Science in Applied Mathematics program is designed to provide students with a robust blend of theoretical knowledge and practical skills. Through a variety of hands-on experiences, students engage in real-world problem-solving that prepares them for successful careers in diverse fields. The program emphasizes experiential learning, allowing students to apply mathematical concepts to practical situations using state-of-the-art facilities and tools.

Here are some key aspects of the experiential learning opportunities available in the MS in Applied Mathematics program:

- Collaborative Projects: Students often work in teams on projects that tackle real-world challenges, fostering teamwork and communication skills essential for the workplace.

- Internships and Co-op Opportunities: Northeastern's renowned co-op program allows students to gain valuable industry experience while earning academic credit. This unique approach helps students build professional networks and apply their skills in practical settings.

- Access to Advanced Software: Students utilize industry-standard software such as MATLAB, R, and Python for data analysis and modeling, ensuring they are well-versed in tools commonly used in the field.

- Research Laboratories: The program provides access to dedicated research labs where students can engage in cutting-edge research alongside faculty members, enhancing their analytical and problem-solving abilities.

- Field Trips and Industry Visits: Students have opportunities to visit local companies and organizations, gaining insights into how applied mathematics is used in various industries.

- Libraries and Research Institutes: Northeastern boasts extensive library resources and research institutes that support students in their academic pursuits, providing access to a wealth of information and research materials.

- Networking Events and Workshops: The program hosts various events that connect students with industry professionals, offering workshops that enhance both technical and soft skills.

Progression & Future Opportunities

Pursuing a Master of Science in Applied Mathematics at Northeastern University opens the door to a wealth of career opportunities in a rapidly growing field. Graduates often find themselves in roles such as Data Scientist, Quantitative Analyst, Operations Research Analyst, and Actuary. The demand for skilled professionals in these areas continues to rise, making this program a strategic choice for your future.

Here’s how Northeastern supports your journey toward success:

- Career Services: The university offers robust career services, including personalized career coaching, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: Northeastern boasts an impressive employment rate of over 90% for graduates within six months of graduation, with average starting salaries around $80,000, depending on the role and industry.
- University–Industry Partnerships: The university has established strong partnerships with leading companies such as Google, Amazon, and Fidelity Investments, providing students with unique internship and co-op opportunities that enhance real-world experience.
- Long-term Accreditation Value: The program is accredited by the New England Commission of Higher Education (NECHE), ensuring that your degree holds value and recognition in the job market for years to come.
- Graduation Outcomes: Alumni of the program have gone on to work in diverse sectors, including finance, technology, healthcare, and academia, showcasing the versatility of the degree.

Further Academic Progression: After completing your Master’s in Applied Mathematics, you may choose to further your studies by pursuing a Ph.D. in Mathematics, Statistics, or a related field. This advanced degree can lead to academic positions, research opportunities, or specialized roles in industry, allowing you to deepen your expertise and expand your career prospects even further.