MASt in Applied Mathematics

From the moment you begin the MASt in Applied Mathematics at Cambridge, you’ll be immersed in a learning environment that gives you deep practical and intellectual experience — not just abstract theory. You’ll learn through advanced lecture courses, tackle example problem-sheets, and write a substantial essay, all of which develop your problem-solving, independent study, and critical thinking skills. The structure is flexible enough that you can tailor the course to your interests while being challenged by the cutting-edge material. Plus, as part of Cambridge, you have access to world-class academic and research support infrastructure across the College and Department libraries, computing facilities, and broader university-wide resources. 

Here’s how the experiential learning works in practice:

• Diverse advanced lecture courses — The programme offers up to ~80 lecture courses in Part III across pure mathematics, probability, statistics, applied mathematics and theoretical physics. This lets you choose a combination that matches your interests or desired career path (e.g. applied mathematics, mathematical physics, statistics-based modelling). 

• Tailored combination of courses — You have wide choice: you design a combination of cognate courses rather than being forced into a fixed track. This allows flexibility if you wish to emphasize, say, applied math → industry applications, or mathematical physics → theoretical research. 

• Example sheets + self-study support — Alongside lectures, you get marked example sheets to practice problem solving — excellent for internalizing methods and honing rigorous analytical skills. 

• Major written essay (mathematical essay) — In addition to exam-based assessment, you complete an extended mathematical essay. This is a chance to investigate a topic in some depth, develop structured argumentation, and exercise independent research and writing skills — akin to a mini-research project. 

• Access to extensive university resources — As a Cambridge postgraduate, you benefit from the full range of libraries (the main University Library + 30+ affiliated libraries across faculties), departmental and college computing suites, specialist software support, and skills training (including computing and research-skills workshops). These resources support everything from problem-sets to research-based analytic work. 

• Strong preparation for research or career paths — The MASt is explicitly designed as excellent preparation for independent mathematical research (e.g. PhD), or for careers in industry, teaching, or applied research settings. The advanced-level material and skillsets you acquire (independent study, problem-solving, modelling, etc.) are often not covered in undergraduate degrees. 

Graduating from the MASt in Mathematics (Applied Mathematics) opens doors to highly analytical and research-focused careers: many alumni move into roles such as quantitative analysts in finance, data scientists, software engineers, or continue in academic research. This program is widely recognized as one of the strongest pathways to both top industry positions and advanced study.

Future Opportunities:

• Career support: Cambridge provides strong guidance through the University Careers Service, plus dedicated Faculty channels offering networking, internships, and placement opportunities with top employers.

• Industry connections: Many graduates find roles in quantitative finance, tech, consulting, or data science, benefiting from Cambridge’s partnerships and reputation in the global job market.

• Earning potential: Alumni in finance and tech often secure competitive starting salaries thanks to the program’s rigorous training and prestige.

• Long-term value: The MASt’s global recognition gives graduates an advantage whether entering industry or pursuing research careers.

• Graduation outcomes: Many alumni proceed directly into PhD programs, prestigious research positions, or high-impact roles in industry where advanced mathematical skills are in demand.

Further Academic Progression:
After the MASt, students can pursue a PhD in Mathematics, Theoretical Physics, Statistics, or interdisciplinary fields like computational science or data analytics, building on the advanced skills developed during the program.