Mphil Pure Mathematics

18 Months On Campus Masters Program

University of Lincoln

Program Overview

The MPhil/PhD Pure Mathematics at University of Lincoln is a research‑focused degree that lets you explore deep, abstract areas of mathematics perfect if you’re passionate about theory, proofs, and advancing mathematical knowledge. You’ll join a community of scholars working on areas like group theory and Lie algebras a great fit if you love rigorous thinking and want to contribute original research.

Curriculum structure

Because this is a research degree, rather than a taught‑course structure, most of your time will be spent working independently under the guidance of a supervisor.

Initial Phase / Training & Seminars — Early on you’ll receive training in research skills and methodologies, attend advanced seminars, and begin formulating your research project.
Research Project & Thesis — You’ll work on an original research topic (for example in group theory or Lie algebras), develop your ideas, and eventually write and defend a thesis presenting your new results.

Focus areas: “Abstract algebra (group theory, Lie algebras), advanced pure mathematics research theoretical mathematics.”
Learning outcomes: “Gain deep understanding of advanced pure mathematics; develop ability to carry out independent mathematical research; contribute novel mathematical results; master formal proof, abstraction, and mathematical reasoning; prepare for an academic or research‑oriented career.”
Professional alignment (accreditation): The programme is offered by the School of Engineering & Physical Sciences at University of Lincoln designed for those aiming at high‑level research careers, doctoral studies, or academia.
Reputation (employability / research environment): As a research degree, the strength lies in the active supervision, possibility of publishing in international journals, and being part of a research community at Lincoln with access to seminars, international collaborations, and a broad network

Experiential Learning (Research, Projects, Internships etc.)

If you choose to pursue the MPhil/PhD in Pure Mathematics at Lincoln, you’ll be joining a research‑driven community where you’re not just learning existing mathematics — you’ll be producing new mathematics under the guidance of active researchers. The programme offers the freedom, support, and resources to explore deep theoretical problems, collaborate, and contribute to academic knowledge.

Here’s how that works in practice:

Individual supervision and mentorship — you’ll be paired with academic staff specialists in areas like group theory and Lie algebras. That means one‑to‑one guidance on your research, tailored feedback, and support throughout your dissertation or thesis work.
Access to specialist computational and research facilities — as a postgraduate researcher you’ll have access to computational facilities and training programmes provided by the School of Engineering and Physical Sciences, supporting any computational / theoretical work your research may require. Training in research skills and methodologies — the programme includes structured training designed to develop key research‑level abilities: academic writing, methodology, possibly preparing for publishing work or conference presentations.
Opportunities for international collaboration and academic exposure — the department regularly collaborates with leading institutions across several countries, offering you potential exposure to international research, co-operation, maybe even joint work or conference participation.
Flexibility and independence — time to think deeply and contribute original work — unlike strictly structured taught programmes, your time will largely be devoted to independent study and research, giving you the space to dive into complex problems at your own pace.

Progression & Future Opportunities

After completing the MPhil/PhD in Pure Mathematics at University of Lincoln, you’ll emerge as a highly‑skilled researcher ready to contribute new knowledge to mathematics or move into advanced analytical, academic, or high‑level technical roles. Many graduates go on to work as university researchers or lecturers, data or quantitative analysts in technical or research‑driven industries, or specialized roles in science and technology. So:

What this research degree can lead to

Possible roles after graduation: Academic researcher / university lecturer; Quantitative / Data Analyst in research‑intensive companies; Research scientist in sectors like cryptography, algorithm development, engineering; Specialist roles in science, technology or R&D departments.
University support & research‑driven environment: You’ll be part of the School of Engineering & Physical Sciences, working alongside active researchers in fields like group theory, Lie algebras, pure and applied mathematics — giving you mentorship, supervision, and exposure to cutting‑edge research activity.
Exposure to global collaboration & publishing: The programme encourages students to submit papers to international journals, present at conferences, and collaborate with other researchers building a strong academic profile and global research network.
Long‑term value & academic credibility: A PhD from Lincoln is a deep qualification in abstract mathematics — this kind of degree is respected globally and can open doors in academia, research institutions, or any advanced quantitative/analytical profession that values rigorous mathematical training.
Flexibility in career paths: Because the training is rigorous and research‑oriented, your skills remain widely applicable — from academic research to industry roles where deep mathematical reasoning, modelling, or algorithm development are required.

Further Academic Progression:

Since this is itself a research doctorate programme, after completing it you could:

Continue in academia postdoctoral research, then lecturer/professor positions.
Move into highly specialised research‑intensive industry roles (e.g. cryptography, data science, quantitative finance, modelling).
Transition to interdisciplinary research combining mathematics with physics, computer science or engineering depending on your interests and research network.