Mathematics and Statistics & Op Research MMath
Program start date | Application deadline |
2023-09-18 | - |
2024-09-16 | - |
Program Overview
This is a four-year degree programme that is focused on mathematical and statistical approaches for quantitative management. Mathematics and statistics are core to most modern-day science and have important applications in industry and commerce. The concepts introduced in this pathway span from deriving sound inference from limited or large amounts of data to the mathematical modelling and solution to problems in the organisation and management of complex systems in industry and commerce. The skills acquired include formulating problems in mathematical and/or statistical terms, and expressing solutions in a form intelligible to lay people.
Mathematics and Statistics & Op Research Degree highlights
In 2020, more than 90% of 1st and 2nd year Maths students expressed overall satisfaction with their course
Global Opportunities
Industry Links
Career Development
World Class Facilities
Internationally Renowned Experts
Thus the ethos of the School is one of excellence in research informing excellence in teaching.
Student Experience
Completing my Masters in Mathematics has made me more employable with a degree in my teaching subject, as well as giving me knowledge behind basic mathematical concepts taught in a school environment.
Sarah Wilson (MSci Mathematics 2019)
NEXT
Course content
Program Outline
Course Structure
Course Content | The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study. |
---|---|
Stage 1 | At Stage 1, student must take the six compulsory modules. |
Stage 2 | At Stage 2, student must take modules totalling 120 units to be agreed by advisor of studies. |
Stage 3 | At Stage 3, student must take modules totalling 120 units to be agreed by advisor of studies. |
Stage 4 | At Stage 4, students must undertake a Statistics project and select 4 other modules to be agreed by an advisor of studies. |
People teaching you
Dr Thomas Huettemann
Associate Director of Education for Mathematics
School of Maths and Physics
Dr Huettemann is a Senior Lecturer in Mathematics with research interests in homological algebra, graded algebra and K-theory.Contact Teaching Times
Personal Study | 21 (hours maximum) 21 hours studying and revising in your own time each week, including some guided study using handouts, online activities, etc. |
---|---|
Large Group Teaching | 10 (hours maximum) 10 hours of lectures. |
Small Group Teaching/Personal Tutorial | 1 (hours maximum) 1 hour of tutorials (or later, project supervision) each week. |
Medium Group Teaching | 4 (hours maximum) 4 hours of practical classes, workshops or seminars each week. |
Learning and Teaching
At Queen’s, we aim to deliver a high quality learning environment that embeds intellectual curiosity, innovation and best practice in learning, teaching and student support to enable student to achieve their full academic potential.
On the MSci in Mathematics and Statistics & Operational Research we do this by providing a range of learning experiences which enable our students to engage with subject experts, develop attributes and perspectives that will equip them for life and work in a global society and make use of innovative technologies and a world class library that enhances their development as independent, lifelong learners. Examples of the opportunities provided for learning on this course are:
Computer based modules
These provide students with the opportunity to develop technical skills and apply theoretical principles to real-life or practical contexts. Particular attention is given to modern statistical packages and programming environments (R, SPSS, python etc.)E-learning technologies
Information associated with lectures and assignments is often communicated via a Virtual Learning Environment (VLE) called Canvas. A range of e-learning experiences are also embedded in the degree programme through the use of, for example, interactive support materials and web-based learning activities.Lectures
These introduce basic information about new topics as a starting point for further self-directed private study/reading. Lectures also provide opportunities to ask questions, gain some feedback and advice on assessments (normally delivered in large groups to all year group peers).Personal Tutor
Undergraduates are allocated a Personal Tutor during Level 1 and Level 2 who meets with them on several occasions during the year to support their academic development.Self-directed study
This is an essential part of life as a Queen’s student when important private reading, engagement with e-learning resources, reflection on feedback to date and assignment research and preparation work is carried out.Supervised projects
In final year, students will be expected to carry out a significant piece of research on a topic or practical methodology that they have chosen. Students will receive support from a supervisor who will guide them in terms of how to carry out research and who will provide feedback on at least 2 occasions during the write up stage.Tutorials
Significant amounts of teaching are carried out in small groups (typically 10-20 students). These provide an opportunity for students to engage with academic staff who have specialist knowledge of the topic, to ask questions of them and to assess their own progress and understanding with the support of peers.
Assessment
The way in which students are assessed will vary according to the learning objectives of each module. Details of how each module is assessed are shown in the Student Handbook which is available online via the school website.
Feedback
As students progress through their course at Queen’s they will receive general and specific feedback about their work from a variety of sources including lecturers, module co-ordinators, placement supervisors, personal tutors, advisers of study and your peers. University students are expected to engage with reflective practice and to use this approach to improve the quality of their work. Feedback may be provided in a variety of forms including:
PREV
OverviewNEXT
ModulesModules
The information below is intended as an example only, featuring module details for the current year of study (2022/23). Modules are reviewed on an annual basis and may be subject to future changes – revised details will be published through Programme Specifications ahead of each academic year.
PREV
Course contentNEXT
Entry Requirements
Career Prospects
Introduction
Studying for a degree in Mathematics, Statistics and Operational Research at Queen’s will assist students in developing the core skills and employment-related experiences that are valued by employers, professional organisations and academic institutions. Graduates from this degree at Queen’s are well regarded by many employers (local, national and international) and over half of all graduate jobs are now open to graduates of any discipline, including mathematics. According to the Institute for Fiscal Studies, 5 years after graduation, Maths graduates earn 20 per cent more on average than other graduates (IFS 2018) and are the 3rd highest earners compared to all other subjects. Although the many of our graduates are interested in pursuing careers in teaching, banking and finance, significant numbers develop careers in a wide range of other sectors. The following is a list of the major career sectors that have attracted our graduates in recent years: • Management Consultancy • Export Marketing (NI Programme) • Fast Stream Civil Service • Varied graduate programmes (Times Top 100 Graduate Recruiters/AGR, Association of Graduate Recruiters UK)
Employment after the Course
Typical career destinations of graduates include: • Teaching • Finance and Banking (Financial Analyst, Predictive Modelling, Quantitative Analyst) • Management (Consultancy, Risk Analyst, Insurance) • Engineering and Information Technology (Data Scientist, Software and Process Engineer) • Statistics, Market and Operational Research • Research (academia and industry) • Government and Defence • Medical Science • Export Marketing (NI Programme) • Varied graduate programmes (Times Top 100 Graduate Recruiters/AGR, Association of Graduate Recruiters UK) Companies working in the sectors above that often employ our graduates include: AquaQ Analytics, Civil Service Fast Stream, Citi, First Derivatives, AllState, Liberty Insurance, PwC, Santander, Clarus Financial Technologies, Kainos, Teach First.What employers say
At Citi, we value diverse thinking and we encourage Maths students to join our Graduate Programmes each year. The Maths graduates that we have hired have been extremely successful in their careers within Citi, in particular our Software Engineering opportunities. They excel in their profession with us as they are able to transfer their analytical, numerical and problem solving skills to their day to day responsibilities.
Aislinn Wilson, Applications Development Senior Manager, Citi groupAdditional Awards Gained(QSIS ELEMENT IS EMPTY)
Prizes and Awards
Prizes and Awards
Top performing students are eligible for a number of prizes within the School.Degree Plus/Future Ready Award for extra-curricular skills
In addition to your degree programme, at Queen's you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more. So not only do you graduate with a degree recognised from a world leading university, you'll have practical national and international experience plus a wider exposure to life overall. We call this Degree Plus/Future Ready Award. It's what makes studying at Queen's University Belfast special.
PREV
Entry requirementsNEXT
Fees and Funding