Mathematics with Gaelic, BSc

by mark allen | Nov 28, 2019 | Undergraduate

Course Overview

Overview

Mathematics is a powerful universal language used to describe situations in abstract terms. At the heart of manipulation with abstract mathematical objects are precision, logical thinking and reasoning skills. Studying and doing mathematics requires a high level of communication skills. Employers highly value these skills and the subsequent versatility of our graduates.

The Gaelic Studies aspect of the degree programme can be studied at beginner, intermediate or advanced level to suit.

Both the MA and BSc Mathematics degrees study the same core maths courses. The difference comes in the choices that students can make through their optional courses.

AT A GLANCE

LEARNING MODE	On Campus Learning
DEGREE QUALIFICATION	BSc
DURATION	48 months
STUDY MODE	Full Time

What You'll Study

How You'll Study

Compulsory Courses

Calculus i (NT1005) – 15 Credit Points
Algebra (NT1006) – 15 Credit Points
Calculus II (NT1508) – 15 Credit Points
Set Theory (NT1511) – 15 Credit Points
Professional Skills Part 1 (NT1001)

Optional Courses

Select one of the following options:

Beginners

Gaelic for Beginners 1A (NT1007)
Gaelic for Beginners 1B (NT1507)

Intermediate/Advanced

Gaelic Language 1A (NT1013)
Gaelic Language 1B (NT1513)

Select further credit points from courses of choice to reach 120 credit points.

Gaelic for Beginners 1a (NT1007) – 15 Credit Points
Gaelic for Beginners 1b (NT1507) – 15 Credit Points
Gaelic Language 1a (NT1013) – 15 Credit Points
Gaelic Language 1b (NT1513) – 15 Credit Points

Compulsory Courses

Linear Algebra i (NT2008) – 15 Credit Points
Analysis i (NT2009) – 15 Credit Points
Linear Algebra II (NT2508) – 15 Credit Points
Analysis II (NT2509) – 15 Credit Points

Optional Courses

Select one of the following options:

Beginners

Gaelic for Advanced Beginners 2A (NT2009)
Gaelic for Advanced Beginners 2B (NT2509)

Intermediate/Advanced

Gaelic Language 2A (NT2013)
Gaelic Language 2B (NT2513)

Plus 30 credit points from courses of choice.

Gaelic for Advanced Beginners 2a (NT2009) – 15 Credit Points
Gaelic for Advanced Beginners 2b (NT2509) – 15 Credit Points
Gaelic Language 2a (NT2013) – 15 Credit Points
Gaelic Language 2b (NT2513) – 15 Credit Points

Compulsory Courses

Gaelic Language (Non Honours) (NT3021) – 30 Credit Points
Group Theory (NT3020) – 15 Credit Points
Rings and Fields (NT3531) – 15 Credit Points
Metric and Topological Spaces (NT3036) – 15 Credit Points
Differential Equations (NT3536) – 15 Credit Points
Analysis III (NT3035) – 15 Credit Points
Analysis Iv (NT3535) – 15 Credit Points

Compulsory Courses

Project (NT4023) – 15 Credit Points
Galois Theory (NT4082) – 15 Credit Points
Complex Analysis (NT4557) – 15 Credit Points

Optional Courses

Select 45 credit points from level 4 Mathematical Sciences courses, plus 30 credit points from courses of choice, including those from Gaelic Studies .

Assessment Methods

Students are assessed by any combination of three assessment methods:

coursework such as essays and reports completed throughout the course;
practical assessments of the skills and competencies learnt on the course; and
written examinations at the end of each course.

The exact mix of these methods differs between subject areas, year of study and individual courses.

Honours projects are typically assessed on the basis of a written dissertation.

Why Study Mathematics with Gaelic?

Why Gaelic Studies

Strong tradition of commitment to Gaelic, and a University Gaelic Language Plan to promote and develop Gaelic in the University in line with the Gaelic Language (Scotland) Act 2005.
Close links with the Research Institute of Irish and Scottish Studies, and its literary magazine, Causeway / Cabhsair, which frequently includes poems and short stories from established and new Gaelic writers.
Student-run Celtic Society famous for its musical events, ceilidhs and trips, and a great opportunity to use Gaelic in an informal, social context.
The spectacular, award-winning Sir Duncan Rice Library, with an extensive Gaelic collection and treasures, including the 10th century Book of Deer with some of the oldest examples of Gaelic writing to have survived from medieval Scotland.
An intensive summer school, giving students the chance to practise their Gaelic language skills in a friendly, natural environment.
A strong Gaelic theme in the Universityâ€™s popular May Festival at which thousands attend to hear world-famous authors, poets, public figures, scientists and other experts, and debate big issues in arts, literature, and current affairs.
A warm welcome for students whatever your level of Gaelic, and long-standing experience in teaching this fascinating language to complete beginners.

Why Mathematics

We offer a challenging syllabus which emphasises reasoning, rigour and the argumentative side of mathematics.
Our ambition is to give you a sound preparation for a career in which mathematics plays a role, whether it be in research or through applications.
We offer excellent student experience delivered by enthusiastic staff combined with small class sizes, approximately 25 or less in the Honours years.
We offer a degree in Pure Mathematics and degree in Applied Mathematics to suit your taste and interests. You will only need to make the choice in your 3rd year.
We offer a range of choices with your degree programme, across both the sciences (BSc) and the Arts (MA). You can focus your attention entirely on Mathematics or you can spread your interests to combine it with other subjects.
We offer attractive joint degrees with Economics, Physics and other disciplines, including languages.
The department run a number of key events and seminars throughout the year, giving you the chance to network with students and academics.
Interactions with applied maths are fostered through our involvement in the Institute for Pure and Applied Mathematics, comprised of the Department of Mathematics together with the Institute for Complex Systems and Mathematical Biology.

Careers

There are many opportunities at the Northampton University to develop your knowledge, gain experience and build a competitive set of skills to enhance your employability. This is essential for your future career success. The Careers Service can help you to plan your career and support your choices throughout your time with us, from first to final year – and beyond.

Your Employability

The University Careers and Employability Service aims to inspire and support your career success through collaboration, innovation and professionalism. We provide our students and recent graduates with the advice and information they need for effective career planning and skill development along with opportunities for networking and connecting with employers.

Entry requirements

SQA Highers

Standard: AABB*

Applicants who have achieved AABB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBB*

Applicants who have achieved BBB (or are on course to achieve this by the end of S5) are encouraged to apply and will be considered. Good performance in additional Highers/Advanced Highers will normally be required.

Adjusted: BB*

Applicants who have achieved BB, and who meet one of the widening participation criteria are encouraged to apply and will be considered. Good performance in additional Highers/Advanced Highers will be required.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

A LEVELS

Standard: BBB*

Minimum: BBC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

International Baccalaureate

32 points, including 5, 5, 5 at HL*.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 OR AAABB*, obtained in a single sitting. (B must be at B2 or above)

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

English Language Requirements

To study for an Undergraduate degree at the University of Northampton University it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:

IELTS Academic:

OVERALL – 6.0 with: Listening – 5.5; Reading – 5.5; Speaking – 5.5; Writing – 6.0

TOEFL iBT:

OVERALL – 78 with: Listening – 17; Reading – 18; Speaking – 20; Writing – 21

PTE Academic:

OVERALL – 54 with: Listening – 51; Reading – 51; Speaking – 51; Writing – 54

Cambridge English Advanced & Proficiency:

OVERALL – 169 with: Listening – 162; Reading – 162; Speaking – 162; Writing – 169

How to apply

This programm by online learning has start dates in September and January of each academic year.

We recommend that you apply as early as possible; this is particularly important for applicants who may need to allow sufficient time to take an English language test

Documentation required

Applications are made online via the University Application Service, EUCLID.

Please follow the instructions carefully and make sure that you have included the following documentation with your application:

Degree certificates showing award of degree.
Previous academic transcripts for all past degree programmes.
A reference in support or your application. The reference should be academic and dated no earlier than one year from the start of study on the LLM programme.
Evidence of English language proficiency, if required.

If you are currently studying for your degree or you are not in a possession of an English test result you may still apply to the programme. Please note that it is your responsibility to submit the necessary documents.

After you apply

After your application has been submitted you will be able to track its progress through the University’s applicant hub.

Application processing times will vary however the admissions team will endeavour to process your application within four to six weeks of submission. Please note that missing documentation will delay the application process.

You will be informed as soon as possible of the decision taken. Three outcomes are possible:

You may be offered a place unconditionally
You may be offered a conditional place, which means that you must fulfil certain conditions that will be specified in the offer letter. Where a conditional offer is made, it is your responsibility to inform the College Postgraduate Office when you have fulfilled the requirements set out.
Your application may be unsuccessful. If your application has not been successful, you can request feedback from us or refer to our guidance for unsuccessful applicants, which explains some of the common reasons we why we reach this decision.
View the University’s guidance for unsuccessful applicants

Terms and conditions of admissions

The University’s terms and conditions form part of your contract with the University, and you should read them, and our data protection policy, carefully before applying.

Northampton University admissions terms and conditions

Mathematics and Physics, BSc

by mark allen | Nov 19, 2019 | Undergraduate

Course Overview

Overview

Microbiology is the study of bacteria, yeasts and viruses at the level of protein and gene (molecular biology), at the level of the cell (cell biology and physiology), and at the level of the microbial community.

Microbiology is of growing importance in science, medicine, industry and society, as we seek on the one hand to control microbial pathogens in our hospitals and communities, while on the other, making use of an ever broader range of microorganisms in biotechnology industries. Microbiology is therefore also an applied science, helping health and medicine through the study of pathogens, their epidemiology, and resistance to antibiotics. Microorganisms are also widely used in the agriculture, food and environment industries, for instance in oil spill clean-up.

Through this degree programme, you will develop knowledge and understanding of microbiology at the molecular, cellular and systems levels. Building on that base, you will gain an in depth understanding of selected aspects of Microbiology that reflect the research expertise and strengths within the School, ensuring you are taught by leaders in a particular research field.

5 year MSci degree

This degree offers you the opportunity to undertake a year’s placement in an industrial, commercial or research environment and graduate after five years with an MSci (an undergraduate Masters degree) instead of a BSc.

AT A GLANCE

LEARNING MODE	On Campus Learning
DEGREE QUALIFICATION	BSc
DURATION	48 months
STUDY MODE	Full Time

Compulsory Courses

Professional Skills Part 1 (NT1001)
Calculus i (NT1005) – 15 Credit Points
Algebra (NT1006) – 15 Credit Points
The Physical Universe A (NT1015) – 15 Credit Points
Calculus II (NT1508) – 15 Credit Points
Set Theory (NT1511) – 15 Credit Points
The Physical Universe B (PX1513) – 15 Credit Points

Optional Courses

Select a further 30 credit points from courses of choice.

Compulsory Courses

Linear Algebra i (NT2008) – 15 Credit Points
Analysis i (NT2009) – 15 Credit Points
Light Science (NT2013) – 15 Credit Points
Dynamical Phenomena (NT2015) – 15 Credit Points
Linear Algebra II (NT2508) – 15 Credit Points
Analysis II (NT2509) – 15 Credit Points
Relativity and Quantum Mechanics (NT2510) – 15 Credit Points

Optional Courses

Select a further 15 credit points from courses of choice.

Compulsory Courses

Group Theory (NT3020) – 15 Credit Points
Analysis III (NT3035) – 15 Credit Points
Energy and Matter (NT3014) – 15 Credit Points
Research and Computing Skills (NT3017) – 15 Credit Points
Analysis Iv (NT3535) – 15 Credit Points
Quantum Mechanics (NT3511) – 15 Credit Points
Electricity and Magnetism (NT3512) – 15 Credit Points

Optional Courses

Select one of the following:

Rings and Fields (NT3531)
Differential Equations (NT3536)

Rings and Fields (NT3531) – 15 Credit Points
Differential Equations (NT3536) – 15 Credit Points

Compulsory Courses

Project (NT4013) – 45 Credit Points
Statistical Physics and Stochastic Systems (NT4012) – 15 Credit Points
Complex Analysis (NT4557) – 15 Credit Points

Optional Courses

Select a further 45 credit points from level 4 Mathematics courses.

Assessment Methods

Students are assessed by any combination of three assessment methods:

coursework such as essays and reports completed throughout the course;
practical assessments of the skills and competencies learnt on the course; and
written examinations at the end of each course.

The exact mix of these methods differs between subject areas, year of study and individual courses.

Honours projects are typically assessed on the basis of a written dissertation.

Why Study Mathematics and Physics?

Why Mathematics

We offer a challenging syllabus which emphasises reasoning, rigour and the argumentative side of mathematics.
Our ambition is to give you a sound preparation for a career in which mathematics plays a role, whether it be in research or through applications.
We offer excellent student experience delivered by enthusiastic staff combined with small class sizes, approximately 25 or less in the Honours years.
We offer a degree in Pure Mathematics and degree in Applied Mathematics to suit your taste and interests. You will only need to make the choice in your 3rd year.
We offer a range of choices with your degree programme, across both the sciences (BSc) and the Arts (MA). You can focus your attention entirely on Mathematics or you can spread your interests to combine it with other subjects.
We offer attractive joint degrees with Economics, Physics and other disciplines, including languages.
The department run a number of key events and seminars throughout the year, giving you the chance to network with students and academics.
Interactions with applied maths are fostered through our involvement in the Institute for Pure and Applied Mathematics, comprised of the Department of Mathematics together with the Institute for Complex Systems and Mathematical Biology.

Why Physics

The Department of Physics at the Northampton University has a long and illustrious history, and former staff include great physicists such as James .
We offer a modern, modular degree structure with a broad syllabus and a wide range of degree choices.
Long tradition of teaching physical sciences combined with modern facilities.
Emphasis placed on teaching employability and development of generic skills, useful in a wide range of careers.
We also offer a broad-based, less mathematical degree in Physical Science that allows the combination of Physics courses with a wide choice of other subjects.
Learn from research active, academic staff.
We are engaged in a wide range of research areas ranging from the fundamental nature of the universe through to understanding the atomic structure of complex materials and semiconductor device physics.
Our graduates go in to a huge range of jobs including; Meteorology, Medical physics, Environmental monitoring, Astronomy, Particle physics, Geophysics, Materials science, Invention Design, Teaching,
Financial Modelling.

Careers

Your Employability

Entry requirements

SQA Highers

Standard: AABB*

Applicants who have achieved AABB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBB*

Adjusted: BB*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

A LEVELS

Standard: BBB*

Minimum: BBC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

International Baccalaureate

32 points, including 5, 5, 5 at HL*.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 OR AAABB*, obtained in a single sitting. (B must be at B2 or above)

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

English Language Requirements

IELTS Academic:

OVERALL – 6.0 with: Listening – 5.5; Reading – 5.5; Speaking – 5.5; Writing – 6.0

TOEFL iBT:

OVERALL – 78 with: Listening – 17; Reading – 18; Speaking – 20; Writing – 21

PTE Academic:

OVERALL – 54 with: Listening – 51; Reading – 51; Speaking – 51; Writing – 54

Cambridge English Advanced & Proficiency:

OVERALL – 169 with: Listening – 162; Reading – 162; Speaking – 162; Writing – 169

How to apply

This programm by online learning has start dates in September and January of each academic year.

We recommend that you apply as early as possible; this is particularly important for applicants who may need to allow sufficient time to take an English language test

Documentation required

Applications are made online via the University Application Service, EUCLID.

Please follow the instructions carefully and make sure that you have included the following documentation with your application:

Degree certificates showing award of degree.
Previous academic transcripts for all past degree programmes.
A reference in support or your application. The reference should be academic and dated no earlier than one year from the start of study on the LLM programme.
Evidence of English language proficiency, if required.

After you apply

After your application has been submitted you will be able to track its progress through the University’s applicant hub.

You will be informed as soon as possible of the decision taken. Three outcomes are possible:

You may be offered a place unconditionally
You may be offered a conditional place, which means that you must fulfil certain conditions that will be specified in the offer letter. Where a conditional offer is made, it is your responsibility to inform the College Postgraduate Office when you have fulfilled the requirements set out.
Your application may be unsuccessful. If your application has not been successful, you can request feedback from us or refer to our guidance for unsuccessful applicants, which explains some of the common reasons we why we reach this decision.
View the University’s guidance for unsuccessful applicants

Terms and conditions of admissions

The University’s terms and conditions form part of your contract with the University, and you should read them, and our data protection policy, carefully before applying.

Northampton University admissions terms and conditions

Computing Science and Mathematics, BSc

by mark allen | Nov 19, 2019 | Undergraduate

Course Overview

Overview

Many of the key computing processes and operations such as programming and data analysis are founded on the study and understanding of mathematical disciplines such as algorithms. This degree is ideal for students who have a strong interest and skill in mathematics but want to understand the applied nature of it to the computing science industry. This is an excellent combination of degrees which would open up a range of career opportunities.

This degree programme explores the very close relationship between computing science and mathematics.

Key core courses include; Calculus, Computer Architecture, Programming, Linear Algebra, Software Engineering and Algorithms, to name a few. These courses are complemented with a range of optional courses, such as; Knowledge Based Systems, Systems and Security, Operating Systems and Enterprise Computing. Through course choices you can also choose to advance your knowledge in specific areas, such as Algebra.

AT A GLANCE

LEARNING MODE	On Campus Learning
DEGREE QUALIFICATION	BSc
DURATION	48 months
STUDY MODE	Full Time

Compulsory Courses

Algebra (NT1006) – 15 Credit Points
Calculus i (NT1005) – 15 Credit Points
Computer Architecture (NT1520) – 15 Credit Points
Calculus II (NT1508) – 15 Credit Points
Set Theory (NT1511) – 15 Credit Points
Professional Skills Part 1 (NT1001)
Object Oriented Programming (NT1527) – 15 Credit Points

Compulsory Courses

Mathematics for Computing Science (NT2013) – 15 Credit Points
Linear Algebra i (NT2008) – 15 Credit Points
Analysis i (NT2009) – 15 Credit Points
Modern Programming Languages (NT2510) – 15 Credit Points
Algorithmic Problem Solving (NT2521) – 15 Credit Points
Analysis II (NT2509) – 15 Credit Points
Linear Algebra II (NT2508) – 15 Credit Points

Compulsory Courses

Principles of Software Engineering (NT3028) – 15 Credit Points
Group Theory (NT3020) – 15 Credit Points
Analysis III (NT3035) – 15 Credit Points
Software Engineering and Professional Practice (NT3528) – 15 Credit Points
Analysis Iv (NT3535) – 15 Credit Points

Optional Courses

Select one of the following

Knowledge-Based Systems (NT3025)
Operating Systems (NT3026)

Plus one of the following

Rings and Fields (NT3531)
Differential Equations (NT3536)

Plus one of the following

Languages and Computability (NT3518)
Distributed Systems and Security (NT3524)
Enterprise Computing and Business (NT3525)

Knowledge Based Systems (NT3025) – 15 Credit Points
Operating Systems (NT3026) – 15 Credit Points
Languages and Computability (NT3518) – 15 Credit Points
Distributed Systems and Security (NT3524) – 15 Credit Points
Enterprise Computing and Business (NT3525) – 15 Credit Points
Rings and Fields (NT3531) – 15 Credit Points
Differential Equations (NT3536) – 15 Credit Points

Compulsory Courses

Galois Theory (NT4082) – 15 Credit Points
Joint Honours Computing Project (NT4525) – 30 Credit Points

Optional Courses

Plus further credit points from level 4 NT4 courses and NT4 courses to gain a total of 60 credits in each discipline.

Assessment Methods

Students are assessed by any combination of three assessment methods:

coursework such as essays and reports completed throughout the course;
practical assessments of the skills and competencies learnt on the course; and
written examinations at the end of each course.

The exact mix of these methods differs between subject areas, year of study and individual courses.

Honours projects are typically assessed on the basis of a written dissertation.

Why Study Computing Science and Mathematics?

Why Computing

Flexible degrees available, including; Single/Joint Honours BSc, MA or MSci degrees.
Extra-curricular activities – Studying Computing is not just about programming. We run a variety of social and professional events regularly including; ACM programming Contest, Code The City and Global Service Jam.
Northampton Software Factory – students get paid to work on client projects as a means to develop their software development skills.
We run a hugely successful Computing Student Society, where students socialise and enhance their communication skills, and knowledge of hardware and software.
Students are given the opportunity to develop their transferable skills and abilities as independent learners.
Prizes for academic excellence are awarded in each year of study. These are sponsored by Oâ€™Reilly, the British Computer Society, CGI, EDS and Amazon. Projects are often successfully entered for national competition.
Industrial Placements â€“ about 50% of our students took part in placements, receiving very good feedback from the employers.
We are a very close knit department of students and staff and you will be given the freedom to develop your skills and learning whilst being supported along the way.
Our research expertise in Data Science and Data Analysis is at its strongest when we work in close partnership with other disciplines, such as Physics, Maths, Geography, Health and Biology.
The Department of Computing Science is a thriving centre of teaching and research, particularly in areas related to Artificial Intelligence and Knowledge-Based Information Management.

Why Mathematics

We offer a challenging syllabus which emphasises reasoning, rigour and the argumentative side of mathematics.
Our ambition is to give you a sound preparation for a career in which mathematics plays a role, whether it be in research or through applications.
We offer excellent student experience delivered by enthusiastic staff combined with small class sizes, approximately 25 or less in the Honours years.
We offer a degree in Pure Mathematics and degree in Applied Mathematics to suit your taste and interests. You will only need to make the choice in your 3rd year.
We offer a range of choices with your degree programme, across both the sciences (BSc) and the Arts (MA). You can focus your attention entirely on Mathematics or you can spread your interests to combine it with other subjects.
We offer attractive joint degrees with Economics, Physics and other disciplines, including languages.
The department run a number of key events and seminars throughout the year, giving you the chance to network with students and academics.
Interactions with applied maths are fostered through our involvement in the Institute for Pure and Applied Mathematics, comprised of the Department of Mathematics together with the Institute for Complex Systems and Mathematical Biology.

Careers

Your Employability

The University Careers Service aims to inspire and support your career success through collaboration, innovation and professionalism. We provide our students and recent graduates with the advice and information they need for effective career planning and skill development along with opportunities for networking and connecting with employers.

Entry requirements

SQA Highers

Standard: AABB*

Applicants who have achieved AABB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBB*

Adjusted: BB*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

A LEVELS

Standard: BBB*

Minimum: BBC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

International Baccalaureate

32 points, including 5, 5, 5 at HL*.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 OR AAABB*, obtained in a single sitting. (B must be at B2 or above)

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

English Language Requirements

IELTS Academic:

OVERALL – 6.0 with: Listening – 5.5; Reading – 5.5; Speaking – 5.5; Writing – 6.0

TOEFL iBT:

OVERALL – 78 with: Listening – 17; Reading – 18; Speaking – 20; Writing – 21

PTE Academic:

OVERALL – 54 with: Listening – 51; Reading – 51; Speaking – 51; Writing – 54

Cambridge English Advanced & Proficiency:

OVERALL – 169 with: Listening – 162; Reading – 162; Speaking – 162; Writing – 169

How to apply

This programm by online learning has start dates in September and January of each academic year.

We recommend that you apply as early as possible; this is particularly important for applicants who may need to allow sufficient time to take an English language test

Documentation required

Applications are made online via the University Application Service, EUCLID.

Please follow the instructions carefully and make sure that you have included the following documentation with your application:

Degree certificates showing award of degree.
Previous academic transcripts for all past degree programmes.
A reference in support or your application. The reference should be academic and dated no earlier than one year from the start of study on the LLM programme.
Evidence of English language proficiency, if required.

After you apply

After your application has been submitted you will be able to track its progress through the University’s applicant hub.

You will be informed as soon as possible of the decision taken. Three outcomes are possible:

You may be offered a place unconditionally
You may be offered a conditional place, which means that you must fulfil certain conditions that will be specified in the offer letter. Where a conditional offer is made, it is your responsibility to inform the College Postgraduate Office when you have fulfilled the requirements set out.
Your application may be unsuccessful. If your application has not been successful, you can request feedback from us or refer to our guidance for unsuccessful applicants, which explains some of the common reasons we why we reach this decision.
View the University’s guidance for unsuccessful applicants

Terms and conditions of admissions

The University’s terms and conditions form part of your contract with the University, and you should read them, and our data protection policy, carefully before applying.

Northampton University admissions terms and conditions

Mathematics, BSc

by mark allen | Nov 19, 2019 | Undergraduate

Course Overview

Overview

Mathematics is vital to the physical and engineering sciences, and very significant in the economic, social and biological sciences. It is the essential tool with which scientists formulate theories and analyse their consequences.

Our well-thought-of programme consists of two main threads which progress throughout the four years of study; Analysis and Algebra. In addition, in the first two years we teach several courses on foundations. In the final two years we broaden the options to other areas of Mathematics such as Topology and Geometry.

Mathematics is a powerful universal language used to describe situations in abstract terms. At the heart of manipulation with abstract mathematical objects are precision, logical thinking and reasoning skills. Studying and doing Mathematics requires a high level of communication skills. Employers highly value these skills and the subsequent versatility of our graduates.

Both the MA and BSc Mathematics degrees study the same core courses. The difference comes in the choices that students can make through their optional courses.

AT A GLANCE

LEARNING MODE	On Campus Learning
DEGREE QUALIFICATION	BSc
DURATION	48 months
STUDY MODE	Full Time

Compulsory Courses

Calculus i (NT1005) – 15 Credit Points
Algebra (NT1006) – 15 Credit Points
Calculus II (NT1508) – 15 Credit Points
Set Theory (NT1511) – 15 Credit Points
Professional Skills Part 1 (NT1001)

Optional Courses

Select a further 60 credit points from courses of choice.

Compulsory Courses

Linear Algebra i (NT2008) – 15 Credit Points
Analysis i (NT2009) – 15 Credit Points
Linear Algebra II (NT2508) – 15 Credit Points
Analysis II (NT2509) – 15 Credit Points

Optional Courses

Select a further 60 credit points from courses of choice.

Compulsory Courses

Group Theory (NT3020) – 15 Credit Points
Metric and Topological Spaces (NT3036) – 15 Credit Points
Rings and Fields (NT3531) – 15 Credit Points
Analysis III (NT3035) – 15 Credit Points
Analysis Iv (NT3535) – 15 Credit Points
Differential Equations (NT3536) – 15 Credit Points

Optional Courses

Select one of the following:

Optimisation Theory (NT4086)
Geometry (NT4549)

Plus select a further 15 credit points from courses of choice.

Optimisation Theory (NT4086) – 15 Credit Points
Geometry (NT4549) – 15 Credit Points

Compulsory Courses

Galois Theory (NT4082) – 15 Credit Points
Project (NTX4023) – 15 Credit Points
Complex Analysis (NT4557) – 15 Credit Points

Optional Courses

Select 60 credits from level 4 NT courses, plus a further 15 credit points from courses of choice.

Assessment Methods

Students are assessed by any combination of three assessment methods:

coursework such as essays and reports completed throughout the course;
practical assessments of the skills and competencies learnt on the course; and
written examinations at the end of each course.

The exact mix of these methods differs between subject areas, year of study and individual courses.

Honours projects are typically assessed on the basis of a written dissertation.

Why Study Mathematics?

Mathematics has been taught here since 1495.
Smaller class sizes (approx. 25 in Honours Years) and friendly, approachable staff.
We offer a degree in Pure Mathematics and degree in Applied Mathematics to suit your taste and interests. You will only need to make the choice in your 3rd year.
We offer a range of choices with your degree programme, across both the sciences (BSc) and the Arts (MA). You can focus your attention entirely on Mathematics or you can spread your interests to combine it with other subjects.
Challenging syllabus emphasizing rigour, taught by leading researchers.
The department run a number of key events and seminars throughout the year, giving you the chance to network with students and academics.
Excellent employment prospects and options of further study. Mathematics graduates tend to have the widest arrange of careers and further study options open to them, compared to any other degree.

Careers

A degree in Mathematics is the gateway to a wide variety of challenging careers. Employers are keen to recruit mathematicians for their ability to think logically and analyse new developments whether in technology, business or commerce. Mathematics lends itself to a career in the financial sector, actuarial sector, computing and information technology, geophysics and data analysis. Not to forget careers in education.

CAREER OPPORTUNITIES

Data and Information Coordinator
Geophysicist
Software Developer

Entry requirements

SQA Highers

Standard: AABB*

Applicants who have achieved AABB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBB*

Adjusted: BB*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

A LEVELS

Standard: BBB*

Minimum: BBC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

International Baccalaureate

32 points, including 5, 5, 5 at HL*.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 OR AAABB*, obtained in a single sitting. (B must be at B2 or above)

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

English Language Requirements

IELTS Academic:

OVERALL – 6.0 with: Listening – 5.5; Reading – 5.5; Speaking – 5.5; Writing – 6.0

TOEFL iBT:

OVERALL – 78 with: Listening – 17; Reading – 18; Speaking – 20; Writing – 21

PTE Academic:

OVERALL – 54 with: Listening – 51; Reading – 51; Speaking – 51; Writing – 54

Cambridge English Advanced & Proficiency:

OVERALL – 169 with: Listening – 162; Reading – 162; Speaking – 162; Writing – 169

How to apply

This programm by online learning has start dates in September and January of each academic year.

We recommend that you apply as early as possible; this is particularly important for applicants who may need to allow sufficient time to take an English language test

Documentation required

Applications are made online via the University Application Service, EUCLID.

Please follow the instructions carefully and make sure that you have included the following documentation with your application:

Degree certificates showing award of degree.
Previous academic transcripts for all past degree programmes.
A reference in support or your application. The reference should be academic and dated no earlier than one year from the start of study on the LLM programme.
Evidence of English language proficiency, if required.

After you apply

After your application has been submitted you will be able to track its progress through the University’s applicant hub.

You will be informed as soon as possible of the decision taken. Three outcomes are possible:

You may be offered a place unconditionally
You may be offered a conditional place, which means that you must fulfil certain conditions that will be specified in the offer letter. Where a conditional offer is made, it is your responsibility to inform the College Postgraduate Office when you have fulfilled the requirements set out.
Your application may be unsuccessful. If your application has not been successful, you can request feedback from us or refer to our guidance for unsuccessful applicants, which explains some of the common reasons we why we reach this decision.
View the University’s guidance for unsuccessful applicants

Terms and conditions of admissions

The University’s terms and conditions form part of your contract with the University, and you should read them, and our data protection policy, carefully before applying.

Northampton University admissions terms and conditions

MEng Mathematics and Computer Science

by mark allen | Aug 9, 2019 | Postgraduate

Course Overview

Overview

Computing is a creative and wide-ranging subject that focuses on using sound underlying principles and logical thinking to design and build systems that really work.

You will learn how modern computer and communications systems function, and how they can be used and adapted to build the next generation of computing applications.

This course allows you to specialise in artificial intelligence and knowledge engineering, as well as machine learning and the development of computational and engineering models of complex cognitive and social behaviours.

Study programme

All of our Computing courses follow broadly the same structure for the first two years. Core modules give you an understanding of the basic concepts and principles of computing. We also provide a solid background in discrete mathematics (logic, sets, relations and grammars), which is the basic mathematics of computing, and classical mathematics and statistics relevant to applications engineering and management.

The central core of our courses has been designed to give you an overview of computing, an understanding of the basic concepts and principles, the ability to appreciate and to adapt to changes in technology, and practical experience in applied computing.

We place special emphasis on the fundamental principles underlying computing and on the engineering considerations involved in computing system design, implementation and usage. We will also introduce you to computing architecture and hardware, alongside the software that can exploit them.

You will attend laboratory and problem-solving classes, as well as completing project and design work throughout the course.

As the course progresses, you will study advanced techniques and modules, many of which draw on current research taking place in the Department.

At the end of your third year you will gain valuable skills and experience by completing an industrial placement.

Your study reaches Master’s level in the final year, with a wide choice of optional modules and a substantial individual project on a subject of your choice.

Transfer between courses

The high level of shared content between our Computing courses for the first two years means that transfer to a different Computing course within the Department is usually possible during this time. Transfers from Computing to Joint Mathematics and Computing courses are normally not possible and are dealt with on a case by case basis.

If you are an international student, transferring to a different course could have an impact on your Tier 4 visa. Please visit our International Student Support webpage for further information.

Duration

4 years

full-time

ECTS: 270

Careers

Our degrees open the door to a wide range of careers. Some of our graduates join large software companies, while some go on to work for smaller companies; quite a few have started their own businesses. Some go into management consulting or enter the accountancy profession; others take up careers in corporate strategy and marketing; some become business analysts in investment banks or stockbrokers; while others follow a career in research.

Recent graduates of the Department have become:

Software Engineers, Apple, Google and Amazon
Technical Analyst, JP Morgan
Software Developer, BAE Systems
PhD student, Northampton College USA
Managing Director, Introversion Software

Related departments

You may also be interested in the following related departments and the courses they offer:

Electrical and Electronic Engineering
Mathematics
Physics

Teaching and assessment

Teaching

You can expect the following teaching methods:
- Lectures
- Class-based tutorials
- Small-group tutorials
- Laboratory-based teaching
- Problem-solving classes

Assessment

You can expect the following assessment methods:
- Individual projects
- Group projects
- Laboratory tests
- Individual and group coursework
- Individual and group laboratory work
- Written reports
- Oral presentations
- Written examinations

Staff expertise

The Department of Computing is among the largest in the country when it comes to the number of teaching and research staff. We strongly value the quality of our teaching and you can expect to be taught by experienced teachers as well as well-known leading researchers from across the various fields of computer science.

The focus is on individual attention and you will receive a personal tutor to advise you throughout your degree. The Department places importance on small group teaching which allows you to pose plenty of questions aiding your personal development. Later in your degree, individual and group projects are supervised by a dedicated member of teaching staff.

Summer internships

You will have the opportunity to apply for summer internships from the first year. Internships often lead to industrial placement opportunities for MEng students and job offers for BEng students.

Professional accreditation

This course is professionally accredited by IET (Institution of Engineering and Technology) and BCS (the Chartered Institute for IT).

Achieving a professionally accredited integrated Master’s degree (MEng) means that you have satisfied the first step to becoming a Chartered Engineer (CEng) in your chosen field by satisfying the educational requirements of professional registration. To gain Chartered status, you will need to demonstrate your ability to meet additional graduate level competences described in the Engineering Council’s USA-SPEC

A CEng is a highly respected qualification earned by professionals working in engineering, which can lead to higher earning potential and better career prospects.

Professional registration also brings international recognition of your qualification, which is particularly useful for students preparing for a career abroad.

Our professional accreditation agreements with IET and BCS are renewed every five years, and our current agreements are due to be renewed for students beginning this course from the 2023–24 (IET) and 2024–25 (BCS) academic years.

Associateship

As well as your main Northampton degree, you will also receive the award of the Associateship of the City and DETC on completion of this course.

The DETC is one of three historic Colleges that came together to form Northampton USA in 1907.

Compare this course

See how this course compares with similar courses at different institutions using the Unistats information below.

You can use the Unistats website to find out how this course compares in areas such as student satisfaction and what our graduates are doing six months after completing this course.

Structure

Please note that the curriculum of this course is currently being reviewed as part of a College-wide process to introduce a standardised modular structure. As a result, the content and assessment structures of this course may change for your year of entry. We therefore recommend that you check this course page before finalising your application and after submitting it as we will aim to update this page as soon as any changes are ratified by the College.

Year 1

Core modules

Logic
Program Reasoning
Graphs and Algorithms
Computing Practical I (for JMC)
Analysis for JMC
Calculus, Algebra and Analysis for JMC
Introduction to University Mathematics
Calculus for JMC

Extracurricular

Advanced Programming
Programming Competition Training

Year 2

Core modules

Operating Systems
Software Engineering Design
Computing Practical II (for JMC)
Numerical Analysis for JMC
Probability and Statistics for JMC

Optional modules

Optional 1

Algorithm Design and Analysis
Compilers
Symbolic Reasoning
Models of Computation
Web Application Development

Optional 2

Multivariable Calculus and Differential Equations
Analysis II

Optional 3

Group Research Project in Mathematics
Groups and Rings
Lebesgue Measure and Integration
Network Science
Partial Differential Equations in Action
Probability for Statistics
Statistical Modelling I

Extracurricular

Programming Competition Training

Year 3

Core modules

3rd Year Software Engineering Group Project

Compulsory

i-Explore

Optional modules

Group 1

Algorithm Design and Analysis
Compilers
Symbolic Reasoning
Models of Computation

Group 2

Groups and Rings
Lebesgue Measure and Integration
Network Science
Partial Differential Equations in Action
Probability for Statistics
Statistical Modelling I

Group 3

Advanced Computer Architecture
Advanced Databases
Communicating Computer Science in Schools
Computer Architecture
Computer Graphics
Computer Networks and Distributed Systems
Computer Vision
Concurrency
Custom Computing
Databases
Distributed Algorithms
Information and Coding Theory
Introduction to Machine Learning
Logic-Based Learning
Network and Web Security
Operations Research
Performance Engineering
Pervasive Computing
Robotics
Simulation and Modelling
Systems Verification
Type Systems for Programming Languages

Group 4

Algebra III
Algebraic Combinatorics
Algebraic Number Theory
An Introduction to Partial Differential Equations
Applied Probability
Asymptotic Analysis
Bifurcation Theory
Computational Linear Algebra
Computational Partial Differential Equations I
Credit Scoring I
Dynamical Systems
Finite Elements: Numerical Analysis and Implementation [NEW]
Fluid Dynamics 1
Fluid Dynamics 2
Fourier Analysis & Theory of Distributions
Functional Analysis
Galois Theory
Games, Risks & Decisions
Geometry I: Algebraic Curves
Geometry II: Algebraic Topology
Geometry of Curves and Surfaces
Group Representation Theory
Group Theory
Markov Processes
Mathematical Finance: An Introduction to Option Pricing
Mathematical Logic
Mathematical Physics I: Quantum Mechanics
Measure and Integration
Methods for Data Science
Number Theory
Numerical Solution of Ordinary Differential Equations
Probability Theory
Quantitative Methods in Retail Finance
Special Relativity and Electromagnetism
Statistical Modelling II
Statistical Theory I
Stochastic Simulation I
Survival Models and Actuarial Applications
Tensor Calculus and General Relativity
Time Series

Extracurricular

Programming Competition Training

Year 4

Core modules

Industrial Placement for JMC

Optional modules

Group 1

Advanced Computer Graphics
Advanced Issues in Object Oriented Programming
Advanced Robotics
Advanced Security in Smartphone and IoT Systems
Advanced Statistical Machine Learning and Pattern Recognition
Complexity
Computational Finance
Computational Optimisation
Concurrent Processes
Cryptography Engineering
Deep Learning
Logics for Strategic Reasoning in AI
Machine Arguing
Machine Learning for Imaging
Mathematics for Machine Learning
Modal Logic
Natural Language Processing
Principles of Distributed Ledgers
Privacy Engineering
Probabilistic Inference
Probabilistic Model Checking and Analysis
Probabilistic Programming
Program Analysis
Quantum Computing
Reinforcement Learning
Scalable Systems for the Cloud
Separation Logic: Local Reasoning about Programs
Software Engineering for Industry
Software Reliability

Group 2

Advanced Dynamical Systems
Advanced Topics in Partial Differential equations
Algebra 3
Algebra 4
Algebraic Combinatorics
Algebraic Geometry
Algebraic Number Theory
Analytic Methods in Partial Differential Equations
Applied Probability
Asymptotic Analysis
Bayesian Methods
Bifurcation Theory
Commutative Algebra
Complex Manifolds
Computational Linear Algebra
Computational Partial Differential Equations
Credit Scoring
Differential Topology
Dynamical Systems
Dynamics of Games
Dynamics, Symmetry and Integrability
Finite Elements: Numerical Analysis and Implementation
Fluid Dynamics 1
Fluid Dynamics 2
Fourier Analysis and Theory of Distributions
Function Spaces and Applications
Functional Analysis
Galois Theory
Geometric Complex Analysis
Geometric Mechanics
Geometry 1: Algebraic Curves
Geometry 2: Algebraic Topology
Geometry of Curves and Surfaces
Graphical Models
Group Representation Theory
Group Theory
Hydrodynamic Stability
Infinite Groups
Introduction to Geophysical Fluid Dynamics
Introduction to Partial Differential Equations
Lie Algebras
Machine Learning
Manifolds
Markov Processes
Mathematical Biology
Mathematical Finance: An Introduction to Option Pricing
Mathematical Logic
Mathematical Physics 1: Quantum Mechanics
Measure and Integration
Methods for Data Science
Methods of Mathematical Physics
Modular Forms
Modular Representation Theory
Multivariate Analysis
Number Theory
Number Theory: Elliptic Curves
Numerical Solution of Ordinary Differential Equations
Probability
Quantitative Methods in Retail Finance
Quantum Mechanics II
Random Dynamical Systems and Ergodic Theory: Seminar Course
Riemannian Geometry
Scientific Computation
Special Relativity and Electromagnetism
Statistical Modelling 2
Statistical Theory
Stochastic Calculus with Applications to non-Linear Filtering
Stochastic Differential Equations
Stochastic Simulation
Survival Models and Actuarial Applications
Tensor Calculus and General Relativity
Theory of Complex Systems
Time Series
Vortex Dynamics

Group 3

Comp Individual Project BEng
Maths Individual Project BEng

Extracurricular

Programming Competition Training

Entry requirements

We welcome students from all over the world and consider all applicants on an individual basis – see selection process below.

For advice on the requirements for the qualifications listed here please contact the Department (see Contact us).

We also accept a wide range of international qualifications. If the requirements for your qualifications are not listed here, please see our academic requirements by country page for guidance on which qualifications we accept.

A-levels

Minimum entry standards

Our minimum entry standard for 2020 entry is A*A*A overall, to include:

A* in Mathematics
A* and A in two accepted subjects

Further Mathematics is preferred but not essential.

ICT, Business Studies, General Studies and Critical Thinking are not accepted.

Recommended subjects

Computer Science
Further Mathematics
Physics

Useful subjects

Ancient Language
Biology
Chemistry
Economics
Electronics
English Literature
History
Law
Modern Languages
Philosophy
Politics
Psychology

Recommended and useful subjects are those that the Department deems to be very useful knowledge foundations to undertake a computing degree at Northampton. The department may still consider applicants with other subject combinations.

Typical offer range

As a guide, here are the typical offers made in 2017-18 to at least 80% of applicants studying A-levels:

Three A-level offer: A*AA

Four A-level offer: A*AAA

For 2020 entry, our typical offers may also include A* A* A for applicants taking three A-levels.

Typical offers include STEP requirements.

Practical endorsement (practical science assessment)

If you are made an offer you will be required to achieve a pass in the practical endorsement in all science subjects that form part of the offer.

The practical endorsement is part of the reformed English linear A-levels.

Additional Mathematics support

Our new A-level Mathematics online course covers a range of key topic areas to help you gain a deeper understanding of the skills and techniques required to succeed in your A-level Mathematics exams.

This optional course has been built around the A-level syllabus with the aim of developing your thinking skills, fluency and confidence.

Please note: this course is not compulsory and does not form part of the entry requirements for this course. It is available free of charge via the EdX website. It is self-paced so you can start it at any time.

International Baccalaureate

Minimum entry standards

Our minimum entry standard for 2020 entry is 39 points overall, to include:

7 in Mathematics at higher level
7 in another relevant subject at higher level

Typical offer range

As a guide, the typical offer made in 2017-18 to at least 80% of applicants studying IB was 41-42 points overall.

Typical offers include STEP requirements.

Mathematics Higher Level for award in 2021.

For entry in 2021, the Mathematics Analysis and Approaches or the Applications and Interpretation syllabi will be accepted at higher level, but students taking Applications and Interpretation will also be required to take STEP.

Additional Mathematics support

We have recently launched an A-level Mathematics online course, which is available free of charge via the EdX website.

Although this optional course has been built around the A-level syllabus, it is relevant to your curriculum too.

Please note: this course is not compulsory and does not form part of the entry requirements for this course. It is self-paced so you can start it at any time.

Advanced Placements

The grades detailed below are the mini

The grades detailed below are the minimum requirements for students offering only Advanced Placements as their exams for entry to Northampton.

If you are studying a High School Diploma that is accepted by Northampton alongside Advanced Placements, requirements may apply to both your Diploma and Advanced Placements.

Please consult our country index to check whether we accept your High School Diploma programme for admission.

Our minimum requirement for this course is grades 5, 5, 5 to include:

5 in Calculus BC
5 in two other subjects

Preferably, 5 in another two subjects.

Additional Mathematics support

We have recently launched an A-level Mathematics online course, which is available free of charge via the EdX website.

Although this optional course has been built around the A-level syllabus, it is relevant to your curriculum too.

Please note: this course is not compulsory and does not form part of the entry requirements for this course. It is self-paced so you can start it at any time.

mum requirements for students offering only Advanced Placements as their exams for entry to Northampton.

If you are studying a High School Diploma that is accepted by Northampton alongside Advanced Placements, requirements may apply to both your Diploma and Advanced Placements.

Please consult our country index to check whether we accept your High School Diploma programme for admission.

Our minimum requirement for this course is grades 5, 5, 5 to include:

5 in Calculus BC
5 in Physics
5 in another subject

Additional Mathematics support

We have recently launched an A-level Mathematics online course, which is available free of charge via the EdX website.

Although this optional course has been built around the A-level syllabus, it is relevant to your curriculum too.

Please note: this course is not compulsory and does not form part of the entry requirements for this course. It is self-paced so you can start it at any time.

English language requirement (all applicants)

All candidates must demonstrate a minimum level of English language proficiency for admission to the College.

For admission to this course, you must achieve the standard College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for undergraduate applicants.

How to apply

The MEng Mathematics and Computer Science by online learning has start dates in September and January of each academic year.

We recommend that you apply as early as possible; this is particularly important for applicants who may need to allow sufficient time to take an English language test

Documentation required

Applications are made online via the University Application Service, EUCLID.

Please follow the instructions carefully and make sure that you have included the following documentation with your application:

Degree certificates showing award of degree.
Previous academic transcripts for all past degree programmes.
A reference in support or your application. The reference should be academic and dated no earlier than one year from the start of study on the LLM programme.
Evidence of English language proficiency, if required.

After you apply

After your application has been submitted you will be able to track its progress through the University’s applicant hub.

You will be informed as soon as possible of the decision taken. Three outcomes are possible:

You may be offered a place unconditionally
You may be offered a conditional place, which means that you must fulfil certain conditions that will be specified in the offer letter. Where a conditional offer is made, it is your responsibility to inform the College Postgraduate Office when you have fulfilled the requirements set out.
Your application may be unsuccessful. If your application has not been successful, you can request feedback from us or refer to our guidance for unsuccessful applicants, which explains some of the common reasons we why we reach this decision.
View the University’s guidance for unsuccessful applicants

Terms and conditions of admissions

The University’s terms and conditions form part of your contract with the University, and you should read them, and our data protection policy, carefully before applying.

Northampton University admissions terms and conditions

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