MSc By Research Applied Mathematics

1 Year On Campus Masters Program

University of Lincoln

Program Overview

The MSc by Research Applied Mathematics at Lincoln offers you a focused, research‑oriented master’s where you dive deep into real, cutting‑edge mathematical modelling and numerical analysis especially in areas like materials science and nanomaterials. It’s ideal if you’re someone who enjoys independent investigation, computational mathematics, and wants to develop skills in creating algorithms and mathematical methods that can be applied to scientific problems.

Curriculum structure

Because this is a research‑based master’s (not taught classes in the usual sense), your time is spent mainly working independently under the guidance of a dedicated supervisor. You’ll begin with a short training phase to build research skills and computational techniques; after that you develop and carry out a research project often involving numerical methods for complex PDEs or simulations linked to materials science or related interdisciplinary work.

By the end of the programme you complete a full master’s thesis (and defend it in a viva). This gives you real practice in advanced problem‑solving, mathematical modelling, algorithm design, and scientific computing useful for research roles or further doctoral studies.

Focus areas: “Numerical methods & algorithms for equations in materials science (e.g. nanomaterials); computational physics/applied‑mathematics modelling; scientific computing and high‑performance computing techniques.”

Learning outcomes: “Carry out independent research in applied mathematics; design and implement numerical methods; formulate and solve mathematical models for real‑world scientific problems; communicate and present research publish or prepare for doctoral-level work.”

Professional alignment (accreditation / suitability): The programme is offered by the School of Engineering & Physical Sciences at Lincoln, where staff work at the interface of mathematics, physics, materials science and computational research so this MSc by Research aligns well if you aim for a research career (academia, industry R&D, computational science, materials science modelling).

Reputation: The University of Lincoln highlights that its mathematics provision balances both “pure and applied mathematics,” with collaboration with international research institutions, and a departmental culture that emphasises research‑informed teaching and interdisciplinary research

Experiential Learning (Research, Projects, Internships etc.)

If you choose the MSc Applied Mathematics at Lincoln, the programme is not just about coursework — it’s built around doing real, independent research using computational tools and being part of an active research community. You’ll get to apply mathematical ideas to real‑world problems (especially in materials science / nanomaterials), develop computational methods, and ideally produce publishable results.

Here’s how you’ll gain hands‑on, practical and research-level experience:

Specialist computational facilities & training — the School provides access to dedicated computational infrastructure to support numerical methods and high-performance computing. This allows you to work on heavy computational tasks like algorithms and simulations relevant to advanced applied mathematics and materials science.
Supervised independent research under academic guidance — instead of standard taught modules, you will conduct an original research project, culminating in a Master’s thesis under a supervisor or advisory panel. This gives you freedom to explore a topic you care about and gain deep experience in mathematical research. Opportunities to publish or present work — students are encouraged to submit their findings to international scientific journals and to present at conferences or internal seminars; this gives you a taste of academic communication and helps build a research profile. Flexibility in start and study mode you can normally enroll in October or January, and there is support through structured training early on (especially in the first three months) to help you settle in, plan your project, and build foundational research skills.
Collaborative environment and cross-disciplinary research links — the research at Lincoln links applied mathematics with physics, materials science, nanoscience and even interfaces with biology or chemistry giving you scope to work on problems that cross traditional boundaries.

Progression & Future Opportunities

After completing the MSc by Research Applied Mathematics at University of Lincoln, you’ll emerge as a graduate with strong research skills, capable of tackling advanced mathematical and computational problems making you a candidate for both research‑level academic work and high‑level technical roles in industry.

What this degree can lead to

Possible roles: Research Scientist / Research Associate (in mathematics, physics, nanomaterials or computational modelling), Quantitative / Data / Computational Analyst (especially in sectors requiring advanced numerical methods), R&D engineer for materials science or computational simulation, or further academic/research roles (e.g. PhD, or preparation for a doctoral path)
University support: The programme gives you access to specialist computational facilities, training programmes to build research skills, and supervision from academic staff ideal if you enjoy deep, self‑directed work.
Real‑world / interdisciplinary relevance: Research at Lincoln often focuses on numerical methods and algorithms for real problems (e.g. in materials science, nanomaterials) meaning your work could have practical applications beyond pure theory.
Flexibility and preparation for further study: This is a research‑oriented master’s, so it naturally prepares you for PhD study. Whether you want to stay in academia, or go into industry R&D or technical roles, you’d come out with strong analytical and research credentials.
Global & academic credibility: The Mathematics / Engineering & Physical Sciences department at Lincoln collaborates with international institutions, giving you a chance to work on topics with global relevance and build an academic profile.

Further Academic Progression:

If you enjoy research after the MSc: you could continue to a PhD (or equivalent doctoral research) in applied mathematics, computational physics / materials science, or a closely related field ideally suited if you aim for a career in academia, R&D, or advanced modelling.