The three-year BSc Mathematics and Statistics course combines a strong foundation in core mathematics and statistics with exciting recent developments in statistics and machine learning, providing a unique preparation for our data-driven future. A rigorous grounding in essential mathematical techniques and fundamental statistical principles and methods leads to the exploration of a wide range of topics central to modern statistics and machine learning, together with a year-long individual project module tackling a theoretical area or an applied problem in particular depth, possibly in collaboration with a company or other organisation. **Year 1** The first year consists of 100 compulsory Mathematics credits: - Analysis (20) - Calculus (20) - Linear Algebra (20) - Dynamics (10) - Probability (10) - Programming (10) - Statistics (10) Together with a further 20 credits which can be chosen from: - Discrete Mathematics (20) - Any other available Sciences, Arts and Social Sciences modules (subject to pre-requisites and timetabling compatibility) The first-year Mathematics modules expand and develop topics that may be familiar from A level (or equivalent), smoothing the transition to university study. Fundamental statistical methodologies are developed from first principles in the Statistics and Probability modules, providing a mathematical language and coherent conceptual framework with which to structure subsequent developments. Other modules equip you with the essential mathematical tools needed for further study. **Year 2** In the second year, you will take four compulsory modules (60 credits): - Analysis in Many Variables (20) - Statistical Inference (20) - Data Science and Statistical Computing (10) - Statistical Modelling (10) Together with a further 60 credits which can be chosen from a wide range, including: - Complex Analysis (20) - Numerical Analysis (20) - Markov Chains (10) - Mathematical Modelling (10) - Probability (10) The four compulsory modules will furnish you with the central mathematical, inferential, modelling, and computational tools needed for modern statistics and machine learning, as well as looking at important surrounding issues such as data governance. Further modules allow you to broaden or deepen your knowledge of particular topics or techniques. **Year 3** In the third year, you take a 40-credit capstone project module, tackling a theoretical area or an applied problem in particular depth. Subject to availability, this may be performed in collaboration with a company or other organisation. For the remaining 80 credits, you choose from a range of modules on topics central to modern statistics and machine learning, including: - Advanced Statistical Modelling (20) - Bayesian Computation and Modelling (20) - Decision Theory (20) - Machine Learning and Neural Networks (20) - Mathematical Finance (20) - Stochastic Processes (20). **Placement Year** You may be able to take a work placement. Find out more: https://www.dur.ac.uk/study/ug/studyoptions/

**Year 1** The first year consists of 100 compulsory Mathematics credits: •Analysis (20) •Calculus (20) •Linear Algebra (20) •Dynamics (10) •Probability (10) •Programming (10) •Statistics (10) Together with a further 20 credits which can be chosen from: •Discrete Mathematics (20) •Any other available Sciences, Arts and Social Sciences modules (subject to pre-requisites and timetabling compatibility) The first-year Mathematics modules expand and develop topics that may be familiar from A level (or equivalent), smoothing the transition to university study. Fundamental statistical methodologies are developed from first principles in the Statistics and Probability modules, providing a mathematical language and coherent conceptual framework with which to structure subsequent developments. Other modules equip you with the essential mathematical tools needed for further study. **Year 2** In the second year, you will take four compulsory modules (60 credits): •Analysis in Many Variables (20) •Statistical Inference (20) •Data Science and Statistical Computing (10) •Statistical Modelling (10) Together with a further 60 credits which can be chosen from a wide range, including: •Complex Analysis (20) •Numerical Analysis (20) •Markov Chains (10) •Mathematical Modelling (10) •Probability (10) The four compulsory modules will furnish you with the central mathematical, inferential, modelling, and computational tools needed for modern statistics and machine learning, as well as looking at important surrounding issues such as data governance. Further modules allow you to broaden or deepen your knowledge of particular topics or techniques. **Year 3** In the third year, you take a 40-credit capstone project module, tackling a theoretical area or an applied problem in particular depth. Subject to availability, this may be performed in collaboration with a company or other organisation. For the remaining 80 credits, you choose from a range of modules on topics central to modern statistics and machine learning, including: •Advanced Statistical Modelling (20) •Bayesian Computation and Modelling (20) •Decision Theory (20) •Machine Learning and Neural Networks (20) •Mathematical Finance (20) •Stochastic Processes (20).

Assessment Methods are not listed for this Course.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G111

Institution code: D86

Campus Name: Trevelyan College

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

Contextual Offers: Our contextual offer for this programme is A level A*AB including A*A in Mathematics and Further Mathematics in any order or A*A*C including A*A* in Mathematics and Further Mathematics (or equivalent). To find out if you’re eligible, please visit: www.dur.ac.uk/study/ug/apply/contextualoffers/. Maths Tests: We strongly encourage applicants to sit the University’s Admissions Test if it is available to them, as we give a high weighting in our selection process to evidence of ability in Mathematics. TMUA: https://studyatdurham.microsoftcrmportals.com/en-US/knowledgebase/article/KA-02546 MAT: https://studyatdurham.microsoftcrmportals.com/en-US/knowledgebase/article/KA-02544 STEP: https://studyatdurham.microsoftcrmportals.com/en-US/knowledgebase/article/KA-02545

Please click the following link to find out more about qualification requirements for this course

https://www.dur.ac.uk/study/ug/apply/entry/

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

English Language Entry Requirement Information are not listed for this Course.

Student satisfaction : 87%

Employment after 15 months (Most common jobs): 75%

Go onto work and study: 91%

Republic of Ireland	9250.0	Year 1
Channel Islands	9250.0	Year 1
EU	24900.0	Year 1
England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
International	24900.0	Year 1

Additional Fee Information are not listed for this Course.

The Palatine Centre
Stockton Road
Address3 are not listed for this Course.
Durham
DH1 3LE