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2023/24 Taught Postgraduate Programme Catalogue

MSc Statistics

Programme code:MSC-STATUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Luisa Cutillo Contact

Total credits: 180

Entry requirements:

BSc (or equivalent) in a subject containing a substantial mathematical and statistical component, usually at level 2.1 or above (or equivalent).

School/Unit responsible for the parenting of students and programme:

School of Mathematics

Examination board through which the programme will be considered:

School of Mathematics

Programme specification:

The programme will:
- provide a solid training in mainstream advanced statistical modelling
- expose students to modern developments in Statistics
- be flexible in allowing the student to take a broad range of options, including modules within financial mathematics and statistical bioinformatics
- reflect the research interests of the department including specialized topics in statistical shape analysis and directional data, statistical genetics, and stochastic financial modelling.

At the end of the programme students should:
- be prepared to embark on a programme of research as a research student
- be able to undertake data analysis for a wide variety of statistical problems
- have learned key programming skills, both in data analysis and mathematical typesetting
- be equipped as a statistician for a range of careers in industry, commerce and the public sector
- have learned to express mathematical concepts and statistical analysis in both written and verbal form.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Candidates must enroll on exactly 180 or 185 credits overall, with at least 135 credits at level 5M. Please note that in order to obtain the MSc award students need to pass 150 credits with at least 135 at level 5 with a minimum classification average of 5.0. Please refer to the 'rules of award' document for further details, with particular attention to section 16.

Students will be awarded the PGCert if they exit with 60 credits (including 45 at Level 5M), or the PGDip if they exit with 90 credits (including 75 at Level 5M).

Compulsory modules:

Candidates may choose to take up to 20 credits of elective/Discovery modules at Level 3 or 5M, which should normally include a substantive statistical component, and are subject to the written approval of the Programme Manager.

MATH5835MStatistical Computing15 creditsSemester 1 (Sep to Jan)
MATH5871MDissertation in Statistics60 credits1 Jun to 30 Sep

Optional modules:

Candidates will be required to study at least 70 credits from the following optional modules:

Students should study 15 credits (one) of these modules:

MATH5090MMedical Statistics in Practice15 creditsNot running in 202324
MATH5825MIndependent Learning and Skills Project15 creditsSemester 2 (Jan to Jun)

Students should study at least 70 credits of the following modules. A "standard" package of module choices will comprise the compulsory modules and include the following optional modules:

MATH3714Linear Regression and Robustness15 creditsSemester 1 (Sep to Jan)
MATH3723Statistical Theory15 creditsSemester 2 (Jan to Jun)
MATH5092MMixed Models with Medical Applications15 creditsSemester 2 (Jan to Jun)
MATH5772MMultivariate and Cluster Analysis15 creditsSemester 1 (Sep to Jan)
MATH5802MTime Series and Spectral Analysis15 creditsSemester 1 (Sep to Jan)
MATH5824MGeneralised Linear and Additive Models15 creditsSemester 2 (Jan to Jun)

However, depending on the student's background and preferences, :

MATH3565Mathematical Biology15 creditsSemester 1 (Sep to Jan)
MATH3567Evolutionary Modelling15 creditsSemester 2 (Jan to Jun)
MATH3734Stochastic Calculus for Finance15 creditsSemester 2 (Jan to Jun)
MATH3772Multivariate Analysis10 creditsSemester 1 (Sep to Jan)
MATH3802Time Series10 creditsSemester 1 (Sep to Jan)
MATH3823Generalised Linear Models10 creditsSemester 2 (Jan to Jun)
MATH3860Introduction to Clinical Trials15 creditsSemester 2 (Jan to Jun)
MATH5320MDiscrete Time Finance15 creditsSemester 1 (Sep to Jan)
MATH5330MContinuous Time Finance15 creditsSemester 2 (Jan to Jun)
MATH5340MRisk Management15 creditsSemester 2 (Jan to Jun)
MATH5566MAdvanced Mathematical Biology20 creditsSemester 1 (Sep to Jan)
MATH5567MAdvanced Evolutionary Modelling20 creditsSemester 2 (Jan to Jun)
MATH5714MLinear Regression, Robustness and Smoothing20 creditsSemester 1 (Sep to Jan)

Subject to the overall constraint that the student must take at least 135 credits at level 5, and specific constraints related to individual modules (pre-requisites and exclusions, etc).

Elective modules:

Candidates may choose to take up to 20 credits of elective/Discovery modules at Level 3 or 5M, which should normally include a substantive statistical component, and are subject to the written approval of the Programme Manager.

Last updated: 20/02/2024 15:58:00


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