logo
  • uni logo

QS Rank:

verified

3

uni logo

University of Oxford

flag

Oxfordshire

United Kingdom

Master of Science in Mathematics and Statistics at the University of Oxford is a premier program designed to equip students with profound knowledge and expertise in quantitative analysis, statistical methodologies, and mathematical theories. This MSc program is meticulously crafted to provide not only theoretical foundations but also practical applications, preparing graduates for an array of professional opportunities within various sectors. Students who choose to pursue this degree at one of the world’s leading institutions benefit from an unparalleled education that bridges the gap between traditional mathematics and its real-world applications.

The curriculum of the MSc in Mathematics and Statistics is both comprehensive and flexible, allowing students to tailor their learning experience based on individual interests and career aspirations. Core modules include subjects such as Statistical Inference, Applied Probability, and Mathematical Statistics, which are essential for mastering the field. Additionally, students can explore specialized courses in areas like Bayesian Statistics, Statistical Computing, and Time Series Analysis. This diverse range of topics ensures that students are not only well-versed in theoretical concepts but are also proficient in the practical skills needed to solve complex problems in various contexts.

Another notable aspect of this program is the emphasis on research opportunities. The University of Oxford is renowned for its rich tradition of research excellence. Students are encouraged to engage in research projects under the supervision of distinguished faculty members who are leading experts in their fields. This collaboration fosters an environment where students can contribute to cutting-edge research, enhancing their academic profiles and preparing them for future endeavors in both academia and industry.

In addition to exemplary education and research opportunities, the University of Oxford maintains strong connections with the industry. The program offers numerous internship possibilities, allowing students to gain practical experience and build professional networks. Organizations ranging from financial institutions to governmental agencies seek the unique skill set that graduates of the MSc in Mathematics and Statistics possess, making Oxford graduates highly sought after in the job market.

Upon graduation, students enter a wide array of career pathways. The analytical skills and quantitative expertise gained through this program will enable graduates to pursue roles in finance, data science, academia, and public policy, among others. Alumni from this program have successfully secured positions at prestigious companies such as Goldman Sachs, Google, and the BBC. Many alumni attribute their success to the rigorous training and comprehensive support provided by the university.

In summary, the MSc in Mathematics and Statistics at the University of Oxford offers a transformative educational experience. With a focus on both theory and practical application, students are well-prepared to tackle the challenges of an increasingly data-driven world. The program's unique features, including exceptional faculty, extensive research opportunities, and strong industry ties, set it apart as one of the best choices for those looking to advance their careers in this dynamic field.

Why Study Mathematics And Statistics at University of Oxford

  • A popular choice for international students: With a vibrant and diverse student community, the University of Oxford attracts individuals from various cultural backgrounds, providing a rich learning environment.
  • Learn from leading faculty members: The faculty consists of renowned mathematicians and statisticians who bring a wealth of knowledge and experience, offering personalized mentorship and guidance.
  • Access to state-of-the-art research facilities: The university boasts high-end labs and resources that facilitate cutting-edge research, enabling students to engage in hands-on projects.
  • Exceptional placement programs: The institution has strong ties with various industries, ensuring that students have access to valuable internship opportunities leading to successful job placements.
  • Comprehensive support services: The university provides extensive career services, including workshops, networking events, and counseling to help students navigate their career paths.
  • Engagement in interdisciplinary projects: Students have opportunities to collaborate across disciplines, allowing for innovative approaches to problem-solving and research.

In terms of admission requirements, prospective students should hold a strong undergraduate degree in mathematics or a related field to ensure they possess the foundational knowledge necessary for success in this rigorous program. Applicants are typically required to submit academic transcripts, letters of recommendation, and a personal statement outlining their interest in the field, along with any relevant experience. Additionally, while GRE scores are currently not mandatory, they may strengthen an application, particularly for candidates from less traditional backgrounds.

The MSc in Mathematics and Statistics at the University of Oxford is, without a doubt, an exceptional opportunity for those seeking an advanced education in this vital discipline. With its strong focus on both theoretical foundations and practical applications, this program prepares graduates to meet the demands of a rapidly changing job market, equipping them with the skills necessary to succeed in a variety of prestigious careers.

intake

Duration

36 Months

Ranking

icon

#5

US World and News Report

icon

#1

The World University Rankings

icon

#3

QS World University Rankings

Class Profile

Diversity

Africa:

2%

Oceania:

1%

UK:

67%

EU:

10%

North America:

6%

Asia:

6%

Others:

8%

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon