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2020/21 Undergraduate Programme Catalogue

MSci, BSc Computer Science with Mathematics

Programme code:MSBS-CS&MATHUCAS code:G4G2
Duration:4 Years Method of Attendance: Full Time
Programme manager:Dr Isolde M Adler Contact address:I.M.Adler@leeds.ac.uk

Total credits: 480

Entry requirements:

A-level: AAA including Mathematics, excluding General Studies.
IT or Engineering Diploma: Grade A (plus A or above in A-level Mathematics).
BTEC Extended Diploma: Grade D*DD including a D in Further Mathematics.
IB: 35 points overall, with 18 points at higher level to include 5 points in higher level Mathematics.

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

School of Computing

Examination board through which the programme will be considered:

School of Computing

Relevant QAA Subject Benchmark Groups:

Programme specification:

The programme will:
produce graduates with the broad-based core practical skills expected by industry. The four-year programme will equip students with deeper experience of foundations or technologies, informed by the two School’s research.
The programme provides a Computer Science and Mathematics core in the first year (level 1) to focus on core learning objectives. Specialisation is possible at level 2, with further specialisation at level 3 through the introduction of modules related to research topics that can be studied in more depth in the level 3 project and at level 5.
Guidance on these specialisations is provided by three streams, which naturally combine Mathematics and Computing and draw on the research expertise of both Schools. These streams are: (a) discrete mathematics; (b) scientific computation; and (c) complex systems.
(a) The discrete mathematics stream explores development, analysis and application of algorithms for computationally hard problems from optimization, graph theory, and logic. This provides the key foundations for developments in computer networking and security.
(b) Scientific computation focuses on analysis and implementation of high-performance and parallel numerical algorithms. Application areas include fluid dynamics, combustion and atmospheric dispersion.
(c) The complex systems specialism lays the foundation for the interdisciplinary study of the world around us, from genetics to ecology; from neuroscience to social networks; and from finance to the web. As a discipline it combines the study of dynamical systems with data driven analysis and statistical or computational modelling.
These streams will naturally extend into the Master level with a sufficient number of specialised level 3 and level 5 modules already in place, among them Algorithms, Graph Theory: Structure and Algorithms, Scientific Computation, Scientific Visualization, Scheduling, and Knowledge Representation and Machine Learning (all Computing) as well as numerous options from the Mathematics side (the programme catalogue for the MSc ‘Mathematics and Computer Science’ currently lists 86 modules, 71 of them offered by Mathematics, though not all of them running each year).
A research-based learning approach is used throughout the programme. Modules at all levels use examples of the latest technologies and methods from current research and provide opportunities for students to develop and demonstrate research skills.
Students undertake individual and team projects at all levels of the programme providing an opportunity to consolidate their knowledge and skills.
MSc students are given additional research experience and professional and management experience through research specialisms and a Group Project at level 4.


Year1 - View timetable

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

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP1121Databases
Pre-requisite for: COMP2121
10 creditsSemester 2
COMP1212Computer Processors
Pre-requisite for: COMP2211
10 creditsSemester 2
COMP1511Introduction to Discrete Mathematics10 creditsSemester 2
COMP1711Procedural Programming
Pre-requisite for: COMP1721
10 creditsSemester 1
COMP1721Object Oriented Programming
Pre-requisite for: COMP2711 COMP2611 COMP2421
10 creditsSemester 2
MATH1005Core Mathematics50 creditsSemesters 1 & 2
MATH1025Number Systems15 creditsSemester 1
MATH1710Probability and Statistics I10 creditsSemester 1

Optional modules:

Candidates will be required to study 20 or 25 credits from the following optional modules:


Year2 - View timetable

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

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP2421Numerical Computation10 creditsSemester 1
COMP2711Algorithms and Data Structures I10 creditsSemester 1
COMP2721Algorithms and Data Structures II10 creditsSemester 2
MATH2041Logic10 creditsSemester 2

Optional modules:

Candidates will be required to study 80 credits of optional modules from the following lists. These must consist of at least 40 MATH credits and at least 20 COMP credits, with remaining 20 credits selected from the MATH and COMP modules listed.

MATH2017Real Analysis15 creditsSemester 2
MATH2022Groups and Vector Spaces15 creditsSemester 1
MATH2027Rings and Polynomials10 creditsSemester 2
MATH2365Vector Calculus15 creditsSemester 1
MATH2375Linear Differential Equations and Transforms15 creditsSemester 2
MATH2391Nonlinear Differential Equations10 creditsSemester 2
MATH2600Numerical Analysis10 creditsSemester 2
MATH2601Numerical Analysis with Computation15 creditsSemester 2
MATH2640Introduction to Optimisation10 creditsSemester 1
MATH2650Calculus of Variations10 creditsSemester 2
MATH2920Computational Mathematics10 creditsSemester 1
COMP2211Operating Systems10 creditsSemester 1
COMP2221Networks10 creditsSemester 2
COMP2321Formal Languages and Finite Automata10 creditsSemester 2
COMP2611Artificial Intelligence10 creditsSemester 2
COMP2811User Interfaces10 creditsSemester 1
COMP2912Software Engineering Principles10 creditsSemester 1
COMP2913Software Engineering Project10 creditsSemester 2
COMP2932Compiler Design and Construction10 creditsSemester 2


Year3 - View timetable

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

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP3931Individual Project40 creditsSemesters 1 & 2
COMP3940Graph Algorithms and Complexity Theory10 creditsSemester 1

Optional modules:

Candidates must take 70 or 75 credits of options from the following list. These must consist of at least 40 MATH credits and at least 20 COMP credits. The remaining 20 credits will be selected from the MATH and COMP modules listed.

COMP3211Distributed Systems10 creditsSemester 1
COMP3221Parallel Computation10 creditsSemester 2
COMP3223Cryptography10 creditsSemester 2
COMP3611Machine Learning10 creditsSemester 1
COMP3811Computer Graphics10 creditsSemester 1
COMP3910Combinatorial Optimisation10 creditsSemester 2
MATH3033Graph Theory15 creditsSemester 1
MATH3104Proof and Computation15 creditsSemester 2
MATH3143Combinatorics15 creditsSemester 2
MATH3365Mathematical Methods15 creditsSemester 1
MATH3374Linear and Non-Linear Waves15 creditsSemester 2
MATH3565Mathematical Biology15 creditsSemester 1


Year4 - View timetable

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

Compulsory modules:

Candidates will be required to study the following compulsory modules:

COMP5450MKnowledge Representation and Reasoning15 creditsSemester 1
COMP5930MScientific Computation15 creditsSemester 1

Optional modules:

Candidates will be required to study up to 90 or 95 credits of optional modules from the following lists. These must consist of up to a maximum of 45 COMP credits and up to a maximum of 55 MATH credits. You must complete and pass a total of 100 credits at Level 5M in order to be awarded the MSci degree.

COMP5530MGroup Project30 creditsSemesters 1 & 2, Semester 2
COMP5623MArtificial Intelligence15 creditsSemester 2
COMP5840MData Mining and Text Analytics15 creditsSemester 2
COMP5850MCloud Computing15 creditsSemester 2
COMP5911MAdvanced Software Engineering15 creditsSemester 1
MATH3033Graph Theory15 creditsSemester 1
MATH3044Number Theory15 creditsNot running in 202021
MATH3104Proof and Computation15 creditsSemester 2
MATH3143Combinatorics15 creditsSemester 2
MATH3365Mathematical Methods15 creditsSemester 1
MATH3374Linear and Non-Linear Waves15 creditsSemester 2
MATH3424Introduction to Entropy in the Physical World15 creditsSemester 2
MATH3565Mathematical Biology15 creditsSemester 1
MATH5104MAdvanced Proof and Computation20 creditsSemester 2
MATH5366MAdvanced Mathematical Methods20 creditsSemester 1
MATH5373MAdvanced Linear and Nonlinear Waves20 creditsSemester 2
MATH5424MAdvanced Entropy in the Physical World20 creditsSemester 2
MATH5566MAdvanced Mathematical Biology20 creditsSemester 1

Last updated: 11/08/2020 11:10:27

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