Mphil/PhD Applied Mathematics

Brayford Pool

 

INTAKE: Jan & Oct

Program Overview

The MPhil/PhD program in Applied Mathematics at the University of Lincoln is designed to provide advanced training in mathematical research with practical applications. This program equips students with a strong foundation in mathematical theory and its real-world applications, fostering expertise that is valuable in both academic and industrial settings.

Curriculum: The curriculum of the MPhil/PhD in Applied Mathematics at the University of Lincoln is structured to cover a wide range of advanced mathematical topics and their applications. Courses include mathematical modeling, numerical analysis, optimization, and statistical methods. The program emphasizes a balance between theoretical knowledge and hands-on application, ensuring that graduates are adept at solving complex mathematical problems in various contexts.

Research Focus: The University of Lincoln places a strong emphasis on research within the MPhil/PhD program in Applied Mathematics. Students are encouraged to engage in cutting-edge research projects that contribute to the advancement of mathematical knowledge and its practical applications. The program covers diverse research areas such as mathematical modeling of real-world problems, algorithm development, and the exploration of mathematical solutions to contemporary challenges.

Industry Engagement: Recognizing the importance of applied mathematics in industry, the program actively engages with industrial partners to enhance the practical relevance of research outcomes. Students have opportunities for internships, collaborative projects, and participation in industry-led research initiatives. This engagement ensures that graduates are not only well-versed in theoretical concepts but also capable of applying their mathematical skills to solve industry-specific problems.

Global Perspective: The MPhil/PhD program instills a global perspective in applied mathematics by addressing challenges that have worldwide implications. Students explore international case studies, collaborate with researchers from different parts of the world, and consider the global impact of mathematical solutions. This perspective prepares graduates to contribute to global scientific endeavors and address mathematical challenges with a broad understanding of their implications.

MPhil: 1.5-3 years

Pollster Education

Location

Brayford Pool

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 16700

PhD Entry Requirements

Academic Qualifications: Prospective PhD applicants are expected to hold a taught Masters degree in a relevant subject area. The university typically requires a minimum of 60% or above as the standard for academic performance in the completed Masters program.

English Language Proficiency:

  • IELTS Requirement: An overall IELTS score of 6.5 or 7.0 is required, with no individual band score falling below 6.0.
  • TOEFL Requirement: A minimum overall score of 90 on the TOEFL is accepted, with no sub-score in any section falling below 21.
  • PTE Requirement: A minimum overall score of 70 with no individual score below 65.

Students must provide:

  • Academic marksheets & transcripts
  • Letters of recommendation
  • A personal statement - SOP
  • Passport
  • Other supporting documents as required by the university.

Work experience: Some PhD courses may require relevant work experience in the field.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

The University of Lincoln, located in the United Kingdom, is fostering academic excellence and supporting international students in their pursuit of advanced degrees. Specifically, the university offers a range of scholarships tailored to PhD students, ensuring that talented individuals from around the world have the opportunity to engage in groundbreaking research within a vibrant academic community.

Vice Chancellor's Research Studentship: The University of Lincoln provides the prestigious Vice Chancellor's Research Studentship, which is a fully-funded scholarship designed to attract outstanding international candidates. This scholarship covers tuition fees, a stipend for living expenses, and a research allowance, enabling recipients to focus solely on their doctoral research.

Global Challenges Research Fund (GCRF) Scholarship: Aimed at addressing global challenges, the GCRF Scholarship supports international PhD students undertaking research that contributes to sustainable development goals. This scholarship encompasses financial support for tuition, living expenses, and research-related costs, emphasizing the university's impactful, globally-relevant research.

International Alumni Scholarship: The University of Lincoln values its international alumni and acknowledges their potential to contribute to ongoing research endeavors. The International Alumni Scholarship is dedicated to supporting former international students who choose to pursue a PhD at Lincoln, providing financial assistance for tuition fees and living expenses.

Graduates from the MPhil/PhD program in Applied Mathematics at the University of Lincoln possess a unique skill set that opens doors to diverse and high-demand career options. The program's focus on both theoretical rigor and practical applications equips graduates to make significant contributions in various sectors.

Academic Positions: Graduates can pursue academic careers in universities and research institutions. As professors, researchers, or lecturers, they contribute to the academic community through teaching, mentorship, and the advancement of mathematical knowledge.

Research Scientists: Opportunities exist for graduates to work as research scientists, contributing to cutting-edge research in mathematical modeling, optimization, and other applied mathematics fields. They may work in research labs, think tanks, or government research institutions.

Data Scientists: With expertise in mathematical modeling and statistical methods, graduates can pursue roles as data scientists. They analyze and interpret complex data sets, deriving insights that inform decision-making in various industries such as finance, healthcare, and technology.

Financial Analysts: The program prepares graduates for roles in the financial sector, where they can apply mathematical models to analyze market trends, assess risks, and make informed financial decisions. Opportunities exist in investment banks, hedge funds, and financial consulting firms.

Engineering and Technology: Graduates may choose careers in engineering and technology, applying mathematical principles to solve complex engineering problems, optimize processes, and contribute to technological advancements.

Consultancy Roles: Consulting firms value the problem-solving skills of applied mathematicians. Graduates can work as consultants, offering expertise to businesses in diverse sectors, including logistics, operations, and strategy.

Governmental Positions: Opportunities exist within government bodies and agencies where graduates can contribute their mathematical expertise to inform policy decisions. This may include roles in areas such as environmental planning, transportation, and public health.

Healthcare Analytics: Graduates can explore roles in healthcare analytics, applying mathematical models to optimize healthcare processes, analyze patient data, and contribute to the improvement of healthcare delivery.

Risk Management: With a focus on statistical methods, graduates are well-suited for roles in risk management. They can work in insurance companies, assessing and managing risks using mathematical models to ensure financial stability.

Technology Development: Graduates may contribute to the development of new technologies, particularly in areas like artificial intelligence, machine learning, and computational sciences. Their mathematical expertise is crucial for designing algorithms and solving complex computational problems.


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