Program Overview

Mathematics and Statistics BSc Honours

The Mathematics and Statistics BSc Honours degree at Newcastle University is a three-year program that equips students with the skills and knowledge needed to make an impact in a rapidly evolving world. This accredited degree combines core mathematics with an in-depth focus on probability, data analysis, and statistical modeling.

Course Overview

The program is designed to provide students with a comprehensive understanding of mathematical and statistical principles, as well as the ability to analyze complex data and make informed decisions. The degree is structured to allow students to choose from a range of optional modules, closely linked to the research expertise of the staff, and to work on a group project in applied mathematics, pure mathematics, statistics, or education.

Quality and Ranking

Newcastle University is ranked among the top 140 universities globally, according to the QS World University Rankings 2026. The university's research power has increased by 65% since 2014, with 42% of its research classified as 4* world-leading. The university is also ranked among the top 25 in the UK and top 100 in the world for sustainable development, according to the Times Higher Education Impact Rankings 2024.

Professional Accreditation and Recognition

The Mathematics and Statistics BSc Honours degree is accredited by the Institute of Mathematics and its Applications (IMA). IMA accreditation means that the degree meets, in part, the educational requirements for the Chartered Mathematician (CMath) designation, with some additional study or experience required.

Modules and Learning

The program consists of three stages, each lasting one academic year. In Stage 1, students take a set of core modules that are common across the mathematics and statistics degrees, including introductory algebra, real analysis, and probability and statistics. In Stage 2, students study a core set of modules in pure mathematics, applied mathematics, and statistics, with some flexibility in module choices. In Stage 3, students can choose from a wide range of optional modules, closely linked to the research expertise of the staff, and work on a group project.

Teaching and Assessment

The program is taught through a combination of lectures, problem classes, tutorials, and computer-based assessments. Students are assessed through a combination of assignments, examinations, group work, presentations, and reports.

Skills and Experience

The program provides students with a range of practical skills, including programming languages, data analysis, and problem-solving. Students also develop key skills such as analytical writing, report writing, presentation skills, and teamwork.

Opportunities

The program provides opportunities for students to study abroad, take a work placement, or participate in short-term global opportunities. Students can also join the Data Innovation Bootcamp, hosted by the National Innovation Centre for Data, and network with businesses and apply data science methodologies to solve real business challenges.

Facilities and Environment

The program is based in the Herschel Building, which provides a state-of-the-art learning environment, including computer teaching labs and extensive IT facilities. The university also offers a range of support services, including a personal tutor, peer mentor scheme, and student-staff committee.

Your Future

The program provides a route into various careers across a broad range of industries, including statistical officer, auditor, business analyst, corporate tax analyst, and data analyst. Graduates can also pursue advanced research in statistical modeling and data analysis, machine learning and artificial intelligence, and mathematical finance and risk management.

Entry Requirements

The program has specific entry requirements, including A-level grades, International Baccalaureate points, and English language requirements. The university also considers alternative qualifications and offers, including contextual and PARTNERS offers.

Tuition Fees and Scholarships

The program has tuition fees, which vary depending on the student's residency status. The university offers a range of scholarships, including Vice-Chancellor's automatic and merit-based scholarships, to support EU and international students.

Open Days and Events

The university hosts open days and events, both on-campus and virtual, to provide prospective students with information about the program and the university. Students can also attend worldwide events and online events to learn more about the program and the university.