A dual degree pathway at Northwestern University that combines undergraduate study with a master’s in Engineering Sciences and Applied Mathematics. You may be able to start the graduate portion while finishing your bachelor’s requirements, depending on your academic progress and advanced placement.
The Engineering Sciences and Applied Mathematics program at Northwestern University offers a unique dual degree pathway that integrates an undergraduate degree with a master's degree. This accelerated program allows students to transition smoothly from their bachelor's studies to advanced graduate coursework, potentially completing both degrees in approximately five years, or even four years for those with significant advanced placement.
Typical coursework themes
How the dual pathway works
This integrated program allows eligible students to start their graduate coursework while fulfilling their undergraduate requirements. The specific sequence of courses and any thesis or capstone project requirements should be discussed with an academic advisor to ensure alignment with current degree standards.
Research
Students have the opportunity to engage in faculty-led research initiatives within applied mathematics. These research projects often cross disciplinary boundaries and are linked to real-world engineering and scientific applications.
Specific GRE or GMAT requirements for this program are not publicly specified. However, applicants are encouraged to demonstrate a strong academic background.
Applicants must submit the following:
Note on eligibility for the dual BS/MS pathway: Review eligibility criteria with the program office for detailed information.
Graduates of the Engineering Sciences and Applied Mathematics program are well-equipped for various career paths in engineering, technology, research, and academia. The dual degree provides a competitive edge in the job market, with opportunities in industries that require advanced analytical and problem-solving skills. Many alumni pursue roles in engineering consultancy, data analysis, research and development, or continue their academic journey in graduate studies.
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