Download bsc_hons_mathematics_4_years_cyprus

UNIVERSITY OF CENTRAL LANCASHIRE, CYPRUS
Programme Specification
This Programme Specification provides a concise summary of the main features of the programme
and the learning outcomes that a typical student might reasonably be expected to achieve and
demonstrate if he/she takes full advantage of the learning opportunities that are provided.
Sources of information on the programme can be found in Section 18
1. Awarding Institution / Body
University of Central Lancashire Cyprus
2. Teaching Institution and Location
of Delivery
University of Central Lancashire, Cyprus
Cyprus Campus (Larnaka)
3. University School/Centre
Sciences (Cyprus Campus)
Computing, Engineering and Physical Sciences
(Preston Campus)
4. External Accreditation
Evaluation Committee for Private Universities (ECPU)
Cyprus
5. Title of Final Award
BSc /BSc (Hons) Mathematics
Bsc / BSc (Hons) Mathematics (Statistics)
6. Modes of Attendance offered
Full-time/Part-time
7. UCAS Code
8. Relevant Subject Benchmarking
Group(s)
Mathematics
9. Other external influences
UK Stem Projects
10. Date of production/revision of
this form
July 2015
11. Aims of the Programme
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To provide a good grounding in pure and applied mathematics.
To provide a grounding in numerical solutions of mathematical problems.
To provide sufficient in depth subject knowledge to enable student to embark on further study
or research in an academic or industrial environment
To provide sufficient in-depth knowledge in statistical methods to enable students to embark on
further study in statistics or apply the knowledge in industry. (Applicable to statistics pathway
only.)
To provide experience in a variety of working styles such as group, collaborative and
independent working essential for the modern workplace.
To provide the opportunity to develop skills and techniques found in mathematics which have
wider applications.
12. Learning Outcomes, Teaching, Learning and Assessment Methods
A. Knowledge and Understanding
A1. Use appropriate mathematical techniques in pure mathematics.
A2. Use mathematical methods to solve problems in applied mathematics.
A3. Use mathematics to describe a system/situation.
A4. Use a range of numerical methods and algorithms to find solutions to mathematical and
statistical problems.
A5. Use statistical tools to describe and analyse data and infer valuable conclusions. (Applicable to
statistics pathway only.)
Teaching and Learning Methods
Lectures, workshops, tutorials and (PC) laboratory classes.
Non-assessed exercises, worked examples.
Feedback on assessed and non-assessed work.
Assessment methods
Examinations, tests and coursework.
B. Subject-specific skills
B1. Provide a coherent logical mathematical argument (e.g. proof).
B2. Use mathematics to model systems.
B3. Recognise the limitations and scope of particular mathematical and statistical techniques.
B4. Generalise and extend areas of mathematics.
B5. Use statistical inference to obtain unknown features of a population. (Applicable to statistics
pathway only.)
Teaching and Learning Methods
Lecture, tutorials and workshops.
Feedback on assessed and non-assessed work.
Assessment methods
Coursework and Examinations.
C. Thinking Skills
C1. Analyse a given (mathematical) problem and apply appropriate maths to find a solution.
C2. Use mathematics to model a process or series of events.
C3. Analyse a math problem and find alternative representations.
C4. Develop the ability to interpret statistical results. (Applicable to statistics pathway only.)
Teaching and Learning Methods
Lectures, tutorials and workshops.
Feedback on assessed and non-assessed work.
Assessment methods
Coursework and examinations.
D. Other skills relevant to employability and personal development
D1. Manage own learning, making optimum use of appropriate texts and learning materials.
D2. Work in small groups towards a common aim.
D3. Use appropriate ICT and mathematical software tools as well as statistical software packages.
D4. Develop and deliver a presentation for peers and general consumption.
Teaching and Learning Methods
Lectures, tutorials, exercises and examples.
Feedback on assessed and non-assessed work.
Assessment methods
Word processed reports. Presentations.
Feedback on assessed and non-assessed work.
13. Programme Structures
Level
Module
Code
Credit rating
UK / ECTS
Compulsory modules:
Level 6
Year 4
Module Title
14. Awards and Credits
MA3821
MA3871
MA3872
MA3873
MA3874
MA3157
MA3811
MA3812
MA3813
MA3831
MA3842
MA3843
MA3852
MA3878
MA3877
MA3876
MA3875
MA3999
Complex Analysis
Compulsory for Statistics
Pathway:
Stochastic Processes
Computational Statistics and
Data Analysis
To choose at least one for
Statistics Pathway:
Time Series
Multivariate Analysis
Optional modules:
Time Series and Operational
Research*
Fields and Galois Theory
Advanced Cryptology
Logic
PDEs and Integral Transforms
Fluid Dynamics
Mathematical Biology
Advanced Numerical Analysis
Financial Statistics**
Actuarial Mathematics and
Statistics**
Biostatistics and Epidemiology**
Operational Research**
Maths BSc Project
20 / 10
20 / 10
20 / 10
Bachelor Honours Degree
BSc (Hons) Mathematics
Requires 480 credits (240 ECTS),
of which a minimum of 100 (50
ECTS) must be at level 6 and 220
(110 ECTS) must be at level 5 or
above.
or
20 / 10
20 / 10
20 / 10
20 / 10
20 / 10
20 / 10
20 / 10
20 / 10
20 / 10
20 / 10
10 / 5
10 / 5
10 / 5
10 / 5
20 / 10
Bachelor Honours Degree BSc
(Hons) Mathematics (Statistics)
Requires 480 credits (240 ECTS),
of which a minimum of 100 (50
ECTS) must be at level 6 and 220
(110 ECTS) must be at level 5 or
above.
Modules must include
those designated for the statistics
pathway
.
Bachelor Degree
BSc Mathematics
Requires 440 credits (220 ECTS)
including a minimum of 180 credits
(90 ECTS) at level 5 or above of
which a minimum of 60 credits (30
ECTS) must be at level 6
* Not applicable to Statistics
Pathway
** Applicable only to Statistics
Pathway
Compulsory modules:
Level 5
Year 3
MA2831
MA2821
MA2852
Ordinary Differential Equations
Further Real Analysis
Numerical Analysis
20 / 10
20 / 10
20 / 10
MA2873
MA2872
MA2871
Compulsory for Statistics
Pathway:
Linear Models
Survey Methodology
Non-parametric Statistics
20 / 10
10 / 5
10 / 5
Optional modules:
MA2811
MA2812
MA2832
MA2841
Algebraic Structures*
Cryptology
Vector Calculus
Lagrangian and Hamiltonian
Mechanics
20 / 10
20 / 10
20 / 10
20 / 10
Diploma of Higher Education
Dip HE Mathematics
Requires 360 credits (180 ECTS)
of which a minimum of 100 credits
(50 ECTS) must be at level 5 or
above.
MA2861
Further Statistics**
20 / 10
* Compulsory if not taking the
Statistics Pathway
** Not applicable to Statistics
Pathway
Compulsory modules:
Level 4
Year 2
MA1811
MA1821
MA1831
AP1841
MA1851
Introduction to Algebra and
Linear Algebra
Introduction to Real Analysis
Functions, Vectors & Calculus
Introduction to Mechanics
Computational Mathematics
20 / 10
Certificate of Higher Education
CertHE Mathematics
Requires 240 credits (120 ECTS)
at Level 4
20 / 10
20 / 10
20 / 10
20 / 10
Compulsory for Statistics
Pathway:
20 / 10
MA1871
Theory of Probability and
Statistics
Optional modules:
Elective (Studied in Y2)
Compulsory modules:
Level 4
Year 1
20 / 10
MA1611
MA1612
MA1861
EF1705
EF1706
EF1498
CO1808
Discrete Mathematics
From Geometry into Algebra
Introduction to Probability &
Statistics
English Language 1*
English Language 2*
Either
Academic writing*
Or
Study and Research Skills*
20 / 10
20 / 10
20 / 10
Certificate of Achievement
Requires 120 credits (60 ECTS)
at level 4
20 / 10
20 / 10
20 / 10
20 / 10
*compulsory for students
following the advanced entry
route
15. Personal Development Planning
PDP is embedded within the programme and also in the personal tutor system. PDP begins at Level 4, and
continues throughout the course. In MA1851 and MA3903 students are required to participate in group work,
develop report writing skills and are assessed on an oral presentation. One of the assessments in MA3843
is a poster presentation. MA3999 is an extended research/project module, which will further develop students’
report writing and independent working skills. Additional support will be available to individual students
through the personal tutor system.
16. Admissions criteria
Programme Specifications include minimum entry requirements, including academic qualifications, together
with appropriate experience and skills required for entry to study. These criteria may be expressed as a
range rather than a specific grade. Amendments to entry requirements may have been made after these
documents were published and you should consult the University’s website for the most up to date
information.
Students will be informed of their personal minimum entry criteria in their offer letter.
• For entry to year 1 of the programme, the normal requirement is a score of 16.5 or above in the Apolytirion;
or 200 A level points; or another international equivalent.
•For advanced entry into the programme, the minimum entry requirements would be one of the following:
relevant Certificate of Higher Education, Foundation Certificate or equivalent from a recognised institution.
•Students with an Apolyterion score of 18.5/20 or above, or 300 A2 level points or equivalent and has an
IELTS score of 6.0 or equivalent may apply for exemption from no more than 10% of the programme,
equivalent to a maximum of 2 modules (40 UK credits/20 ECTS) out of their 24 module programme.
•Applicants without a grade C or above in GCSE English will have to show a good grasp of the English
language and will require 5.0 IELTS (or equivalent) for entry into year 1 or 6.0 IELTS (or equivalent) for entry
to year 2 of the degree.
•Applications from individuals with non-standard qualifications, relevant work or life experience, and from
those who can demonstrate the ability to cope with, and benefit from, degree level studies are welcome to
apply and will be considered on an individual basis.
17. Key sources of information about the programme
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Student Handbook
Mathematics Module Catalogue
Web: Factsheets
18.
Curriculum Skills Map
Please tick in the relevant boxes where individual Programme Learning Outcomes are being assessed
Programme Learning Outcomes
Module
Level Code
Module Title
Core (C),
Compulsory
(COMP) or
Option (O)
Knowledge and
understanding
LEVEL 6
A1
MA3999 Maths BSc Project
Times Series and
MA3157 Operational Research
MA3811 Fields and Galois Theory
MA3812 Advanced Cryptology
MA3813 Logic
MA3821 Complex Analysis
PDEs and Integral
MA3831 Transforms
MA3843 Mathematical Biology
Advanced Numerical
MA3852 Analysis
MA3842 Fluid Dynamics
MA3871 Stochastic Processes
Computational Statistics and
MA3872 Data Analysis
MA3873 Time Series
MA3874 Multivariate Analysis
MA3878 Financial Statistics
A2
O
A3
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A4
Subject-specific Skills
A5
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B1
B2
B3
B4
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B5
Other skills relevant
to employability and
personal
development
Thinking Skills
C1
C2
C3
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C4
D1
D2
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D3
D4
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O
O
O
O
COMP
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O
O
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O
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COMP (Stats)
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Actuarial Mathematics and
ΜΑ3877 Statistics
Biostatistics and
MA3876 Epidemiology
MA3875 Operational Research
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COMP (Stats)
COMP (Stats)
COMP (Stats)
O
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O
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LEVEL 5
MA2811
MA2812
MA2821
MA2831
MA2832
MA2841
MA2852
MA2861
MA2873
Algebraic Structures
Cryptology
Further Real Analysis
ODE
Vector Calculus
Lagrangian & Hamiltonian
Mechanics
Numerical Analysis
Further Stats
Linear Models
Survey Methodology
MA2872
MA2871 Non-parametric Statistics
LEVEL 4
MA1811
MA1821
MA1831
AP1841
MA1851
MA1861
MA1871
MA1611
MA1612
EF1705
EF1706
EF1498
CO1808
COMP
O
COMP
COMP
O
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O
O
O
COMP (Stats)
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COMP (Stats)
COMP (Stats)
Introduction to Algebra, &
Linear Algebra
COMP
Introduction to Real Analysis
COMP
Functions, Vectors and
Calculus
COMP
Introduction to Mechanics
COMP
Computational Mathematics
COMP
Introduction to Probability and
Statistics
COMP
Probability Theory and
Statistical Analysis
COMP (Stats)
Discrete Mathematics
COMP
From Geometry into Algebra
COMP
COMP
English Language 1
COMP
English Language 2
Academic Writing
COMP
Study and Research Skills
COMP
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