Course Name |
Mathematics |
Course Provider |
Queen's University Belfast |
Course Code |
G103 |
Course Type |
UCAS |
Qualifications |
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Apply To |
UCAS |
Attendance Options |
Full time, Daytime |
Location (Districts) |
Belfast |
Application Date |
Expand+The deadline for undergraduate and conservatoire is now 18:00 (UK time) on 29 January 2021
See this link for further information: https://www.ucas.com/corporate/news-and-key-documents/news/ucas-extends-january-deadline-all-applicants
How and wh...
Hide-The deadline for undergraduate and conservatoire is now 18:00 (UK time) on 29 January 2021
See this link for further information: https://www.ucas.com/corporate/news-and-key-documents/news/ucas-extends-january-deadline-all-applicants
How and when to Apply
How to Apply
Application for admission to full-time undergraduate and sandwich courses at the University should normally be made through the Universities and Colleges Admissions Service (UCAS). Full information can be obtained from the UCAS website at: www.ucas.com/students.
When to Apply
UCAS will start processing applications for entry in autumn 2021 from 1 September 2020.
Advisory closing date: 15 January 2021 (18:00). This is the 'equal consideration' deadline for this course.
Applications from UK and EU students after this date are, in practice, considered by Queen’s for entry to this course throughout the remainder of the application cycle (30 June 2021) subject to the availability of places.
Applications from International (non-UK/EU) students are normally considered by Queen’s for entry to this course until 30 June 2021. If you apply for 2021 entry after this deadline, you will automatically be entered into Clearing.
Applicants are encouraged to apply as early as is consistent with having made a careful and considered choice of institutions and courses.
The Institution code name for Queen's is QBELF and the institution code is Q75.
Further information on applying to study at Queen's is available at: www.qub.ac.uk/Study/Undergraduate/How-to-apply/
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Application Weblink |
Web Page - Click Here |
Duration |
Expand+4 years.
Contact Teaching Times
Large Group Teaching
10 (hours maximum)
10 hours of lectures.
Medium Group Teaching
4 (hours maximum)
4 hours of practical classes, workshops or seminars each week.
Personal Study
21 (hours maximum)
...
Hide-4 years.
Contact Teaching Times
Large Group Teaching
10 (hours maximum)
10 hours of lectures.
Medium Group Teaching
4 (hours maximum)
4 hours of practical classes, workshops or seminars each week.
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.
Small Group Teaching/Personal Tutorial
1 (hours maximum)
1 hour of tutorials (or later, project supervision) each week.
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Qualification Letters |
MSci (Hons) |
Entry Requirements |
Expand+Entrance requirements
A level requirements
AAA including Mathematics
OR
A* (Mathematics) AB
Irish leaving certificate requirements
H2H2H3H3H3H3 including Higher Level grade H2 in Mathematics
Access Course
Not considered. Applicants should...
Hide-Entrance requirements
A level requirements
AAA including Mathematics
OR
A* (Mathematics) AB
Irish leaving certificate requirements
H2H2H3H3H3H3 including Higher Level grade H2 in Mathematics
Access Course
Not considered. Applicants should apply for the BSc Mathematics degree.
International Baccalaureate Diploma
36 points overall including 6,6,6 at Higher Level including Mathematics. If not offered at Higher Level/GCSE then Standard Level grade 4 in English would be accepted
Graduate
A minimum of a 2:2 Honours Degree, provided any subject requirement is also met.
Selection Criteria
In addition, to the entrance requirements above, it is essential that you read our guidance on 'How we choose our students' prior to submitting your UCAS application. Details available on course webpage link ‘see below’.
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Link to Course Fee |
Web Page - Click Here |
Comment |
Expand+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 pot...
Hide-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 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.
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.
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Course Content |
Expand+Overview
Mathematics is the universal language of science. It pervades technology, society, medicine, life, the universe and everything!
Mathematics is also one of the most powerful tools for analysis and problem solving known to mankind. As a resu...
Hide-Overview
Mathematics is the universal language of science. It pervades technology, society, medicine, life, the universe and everything!
Mathematics is also one of the most powerful tools for analysis and problem solving known to mankind. As a result, mathematics graduates have the fifth highest employment rate of any degree subject in the UK, and the highest of all the 'pure' sciences. Thus, mathematics provides a unique combination of factors: a pure science with infinite intrigue awaiting a curious mind, and a hugely valuable and employable skill set enabling a broad range of possible future careers.
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Subjects Taught |
Expand+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
• Analysis and Calculus
• Mathematical Modelling
• Numbers, Vectors and Matrices
• Math...
Hide-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
• Analysis and Calculus
• Mathematical Modelling
• Numbers, Vectors and Matrices
• Mathematical Reasoning
• Introduction to Probability & Statistics
• Introduction to Statistical and Operational Research Methods
Stage 2
Students have a choice from the modules listed, those with an * are compulsory
• Linear Algebra*
• Analysis*
• Partial Differential Equations*
• Classical Mechanics
• Fluid Mechanics
• Numerical Analysis
• Group Theory
• Elementary Number Theory
• Statistical Inference
• Methods of Operational Research
• Linear Models
Stage 3
Students can take an approved selection of 6 modules from the list below:
• Electromagnetic Theory
• Quantum Theory
• Linear & Dynamic Programming
• Tensor Field Theory
• Partial Differential Equations
• Computer Algebra
• Ring Theory
• Set Theory
• Financial Mathematics
• Stochastic Processes and Risk
• Statistical Data Mining
• Calculus of Variations and Hamiltonian Mechanics
• Mathematical modelling in biology and medicine
• Metric and Normed Spaces
• Algebraic Equations
Stage 4
The Level 4 modules open to MSci students offer students the opportunity to study a selection of topics in greater depth. The centrepiece of the fourth-year is the double-weighted investigations module, in which a student has the opportunity to study an aspect of mathematics close to the frontier of knowledge. The main choice of modules includes: (Students must choose 4 modules plus the Project)
• Project
• Advanced Quantum Theory
• Functional Analysis
• Survival Analysis
• Mathematical methods for quantum information processing
• Advanced Mathematical Methods
• Statistical Mechanics
• Practical methods for partial differential equations
• Topology
• Integration Theory
• Rings and Modules
• Information Theory
• Algebraic Topology
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Assessment Method |
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.
- Most modules are assessed through a combination of coursework and end of year examinations.
- Some modules (eg, final year Honours Project module) are assessed solely through project work or written assignments. |
Careers or Further Progression |
Expand+Career Prospects
Introduction
Studying for a Maths degree 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. Graduat...
Hide-Career Prospects
Introduction
Studying for a Maths degree 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.
Although 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 just a small selection 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)
http://www.qub.ac.uk/directorates/degreeplus/
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Further Enquiries |
Admissions
Tel: 028 9097 3838
Fax: 028 9097 5151
Email address: admissions@qub.ac.uk |
Course Web Page |
Web Page - Click Here |
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