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Masters Degrees (Applied Maths)

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Gain a strong grounding in advanced economics, and take your knowledge an important step further by applying it to the field that most interests you. Read more

Gain a strong grounding in advanced economics, and take your knowledge an important step further by applying it to the field that most interests you.

Our MSc Applied Economics is a suite of taught courses that provides rigorous training in all the main aspects of economics.

Starting with a comprehensive refresher course in essential maths and economics skills, you will go on to receive advanced training in the analysis of problems in applied microeconomics, macroeconomics, econometrics and strategic decision-making.

Most importantly, you will then have the opportunity to tailor the course to the area of business or policy you are most interested in, giving you additional expertise and a head start when seeking work in that field.

We are one of the only universities in the UK offering this level of specialisation on this type of master's. You can select from MSc Applied Economics as a standalone option or with one of four specialist pathways:

Whichever pathway you choose, you will develop your knowledge of quantitative methods beyond undergraduate level and gain the mathematical, statistical and econometric skills to carry out quantitative analyses of applied economics problems.

You will consolidate your research skills further during the dissertation, which you will work on over the summer under the supervision of one of our experienced lecturers. The research training you receive will prepare you well for going into research positions in a government or commercial context.

By the end of the course you will be able to:

  • analyse and interpret economic data and critically evaluate existing research
  • apply economic concepts to specific economic and policy questions, focusing in particular on the area of business or policy that most interests you
  • design and undertake independent research projects

Learning and teaching

Our teaching staff are all active researchers and regularly publish in the top economics journals, so you will be working with some of the UK’s leading thinkers in economics.

Graduate prospects

This course is ideal preparation for careers within government or industry that require a thorough knowledge of economics.

We expect graduates of the Banking and Financial Markets pathway to be particularly suited to jobs in banks and other financial institutions.

Graduates of the Public Policy or Environmental Policy pathways are especially well-placed to find jobs within government and non-governmental organisations.

Graduates of the Behavioural Science pathway will be ideally suited to work within government or large private sector firms.

Course structure

This course lasts 1 year. Occasionally we make changes to our programmes in response to, for example, feedback from students, developments in research and the field of studies, and the requirements of accrediting bodies. You will be advised of any significant changes to the advertised programme, in accordance with our Terms and Conditions.

Units

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Semester 1

  • Applied microeconomics
  • Applied macroeconomics
  • Applied econometrics
  • Strategic decision making and games
  • Applied research methods

Semester 2

  • Five optional units

Summer

  • Dissertation

Optional course units

These optional units are currently being studied by our students, or are proposed new units.

  • Applied financial economics
  • Financial markets
  • Economics of financial institutions
  • International monetary policy and institutions
  • Public policy analysis
  • Economics of politics
  • Public finance
  • Environmental regulation
  • Environmental and resource economics
  • Applied behavioural economics
  • Experimental economics
  • Applied behavioural finance
  • Health economics

Learning and assessment

Learning

  • Lectures
  • Online resources
  • Practical sessions
  • Seminars

Assessment

  • Attendance
  • Coursework
  • Dissertation
  • Essay
  • Multiple choice examination
  • Online assessment
  • Oral assessment
  • Practical work
  • Written examination


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The Applied Mathematics group in the School of Mathematics at the University of Manchester has a long-standing international reputation for its research. Read more

The Applied Mathematics group in the School of Mathematics at the University of Manchester has a long-standing international reputation for its research. Expertise in the group encompasses a broad range of topics, including Continuum Mechanics, Analysis & Dynamical Systems, Industrial & Applied Mathematics, Inverse Problems, Mathematical Finance, and Numerical Analysis & Scientific Computing. The group has a strongly interdisciplinary research ethos, which it pursues in areas such as Mathematics in the Life Sciences, Uncertainty Quantification & Data Science, and within the Manchester Centre for Nonlinear Dynamics.

The Applied Mathematics group offers the MSc in Applied Mathematics as an entry point to graduate study. The MSc has two pathways, reflecting the existing strengths within the group in numerical analysis and in industrial mathematics. The MSc consists of five core modules (total 75 credits) covering the main areas of mathematical techniques, modelling and computing skills necessary to become a modern applied mathematician. Students then choose three options, chosen from specific pathways in numerical analysis and industrial modelling (total 45 credits). Finally, a dissertation (60 credits) is undertaken with supervision from a member of staff in the applied mathematics group with the possibility of co-supervision with an industrial sponsor. 

Aims

The course aims to develop core skills in applied mathematics and allows students to specialise in industrial modelling or numerical analysis, in preparation for study towards a PhD or a career using mathematics within industry. An important element is the course regarding transferable skills which will link with academics and employers to deliver important skills for a successful transition to a research career or the industrial workplace.

Special features

The course features a transferable skills module, with guest lectures from industrial partners. Some dissertation projects and short internships will also be available with industry.

Teaching and learning

Students take eight taught modules and write a dissertation. The taught modules feature a variety of teaching methods, including lectures, coursework, and computing and modelling projects (both individually and in groups). The modules on Scientific Computing and Transferable Skills particularly involve significant project work. Modules are examined through both coursework and examinations.

Coursework and assessment

Assessment comprises course work, exams in January and May, followed by a dissertation carried out and written up between June and September. The dissertation counts for 60 credits of the 180 credits and is chosen from a range of available projects, including projects suggested by industrial partners.

Course unit details

Course unit details

 CORE (75 credits)

 * Introduction to Uncertainty Quantification

 * Mathematical Methods

 * Partial Differential Equations

 * Scientific Computing

 * Transferable Skills for Applied Mathematicians

 OPTIONAL (3 modules, 45 credits)

 * Applied Dynamical Systems (IM)

 * Continuum Mechanics (IM)

 * Stability theory (IM)

 * Transport Phenomena and Conservation Laws (IM)

 * Advanced Uncertainty Quantification (IM,NA)

 * Approximation Theory and Finite Element Analysis (NA)

 * Numerical Linear Algebra (NA)

 * Numerical Optimization and Inverse Problems (NA)

Students registered on the Numerical Analysis pathway must select modules marked NA, and those registered on the Industrial Modelling pathway must select modules marked IM.

Syllabuses for the modules Introduction to Uncertainty Quantification and Advanced Uncertainty Quantification are currently being finalized and details will be added here as soon as possible.

Facilities

Modern computing facilities are available to support the course.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

The programme will prepare students for a career in research (via entry into a PhD programme) or direct entry into industry. Possible subsequent PhD programmes would be those in mathematics, computer science, or one of the many science and engineering disciplines where applied mathematics is crucial. The programme develops many computational, analytical, and modelling skills, which are valued by a wide range of employers. Specialist skills in scientific computing are valued in the science, engineering, and financial sector.



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The Masters in Mathematics/Applied Mathematics offers courses, taught by experts, across a wide range. Mathematics is highly developed yet continually growing, providing new insights and applications. Read more

The Masters in Mathematics/Applied Mathematics offers courses, taught by experts, across a wide range. Mathematics is highly developed yet continually growing, providing new insights and applications. It is the medium for expressing knowledge about many physical phenomena and is concerned with patterns, systems, and structures unrestricted by any specific application, but also allows for applications across many disciplines.

Why this programme

  • Mathematics at the University of Glasgow is ranked 3rd in Scotland (Complete University Guide 2017).
  • The School has a strong international reputation in pure and applied mathematics research and our PGT programmes in Mathematics offer a large range of courses ranging from pure algebra and analysis to courses on mathematical biology and fluids.
  • You will be taught by experts across a wide range of pure and applied mathematics and you will develop a mature understanding of fundamental theories and analytical skills applicable to many situations.
  • You will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.
  • Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.

Programme structure

Modes of delivery of the Masters in Mathematics/Applied Mathematics include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in project work.

If you are studying for the MSc you will take a total of 120 credits from a mixture of Level-4 Honours courses, Level-M courses and courses delivered by the Scottish Mathematical Sciences Training Centre (SMSTC).

You will take courses worth a minimum of 90 credits from Level-M courses and those delivered by the SMSTC. The remaining 30 credits may be chosen from final-year Level-H courses. The Level-M courses offered in a particular session will depend on student demand. Below are courses currently offered at these levels, but the options may vary from year to year.

Level-H courses (10 or 20 credits)

  • Algebraic & geometric topology
  • Continuum mechanics & elasticity
  • Differential geometry
  • Fluid mechanics
  • Functional analysis
  • Further complex analysis
  • Galois theory
  • Mathematical biology
  • Mathematical physics
  • Numerical methods
  • Number theory
  • Partial differential equations
  • Topics in algebra.

Level-M courses (20 credits)

  • Advanced algebraic & geometric topology
  • Advanced differential geometry & topology
  • Advanced functional analysis
  • Advanced methods in differential equations
  • Advanced numerical methods
  • Biological & physiological fluid mechanics
  • Commutative algebra & algebraic geometry
  • Elasticity
  • Further topics in group theory
  • Lie groups, lie algebras & their representations
  • Magnetohydrodynamics
  • Operator algebras 
  • Solitons
  • Special relativity & classical field theory.

SMSTC courses (20 credits)

  • Advanced Functional Analysis
  • Advanced Mathematical Methods

The project titles are offered each year by academic staff and so change annually.

Career prospects

Career opportunities are diverse and varied and include academia, teaching, industry and finance.

Graduates of this programme have gone on to positions such as:

Maths Tutor at a university.



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The Applied Petroleum Geoscience programme is a unique programme in subsurface geoscience and exploration at Heriot-Watt University. Read more
The Applied Petroleum Geoscience programme is a unique programme in subsurface geoscience and exploration at Heriot-Watt University.

This year-long MSc mainly focuses on petroleum geoscience, but it is closely linked with other MSc programmes and research groups in petroleum engineering and reservoir geology at Heriot-Watt's Institute of Petroleum Engineering. The programme is also applicable to non-petroleum subsurface geoscience subjects, such as CO2 storage and groundwater flow.

More information about the MSc is available in Heriot-Watt's online prospectus: http://www.postgraduate.hw.ac.uk/prog/msc-petroleum-geoscience-petgeo-/

About the programme

The MSc in Applied Petroleum Geoscience provides students with a thorough training in aspects of subsurface geology, geophysics and geo-engineering, relating to the exploration, appraisal and development of subsurface resources.

Although the programme mainly focuses on exploration for hydrocarbon resources, and delineation of hydrocarbon reservoirs in the subsurface, the skills and knowledge learned in this subject are applicable to all subsurface geoscience areas, including groundwater exploration, waste disposal or CO2 sequestration.

Project work, both as groups and individually is part of the programme. Two fieldtrips are also a permanent part of the course.

Topics covered:
=============
• Reservoir Concepts
• Petroleum Basins
• Formation Evaluation
• Reservoir Sedimentology
• Geomechanics and Flow Mechanics
• Petroleum Systems Analysis
• Petroleum Geophysics
• Stratigraphy and Reservoir Quality

For more information on the programme content, including course descriptions, please visit: https://www.hw.ac.uk/study/uk/postgraduate/petroleum-geoscience-petgeo.htm

Professional recognition

The Applied Petroleum Geoscience MSc is accredited by the Institute of Materials, Minerals and Mining (IOM3) and Energy Institute (EI).

Career opportunities

Recent graduates of the Applied Petroleum Geoscience MSc have gone into further research or to work in geoscience departments of major oil and gas companies as well as industry service organisations, contractors and small local companies. Companies who have employed some of the past students include Shell and Petroceltic here in the UK, and a number of other companies worldwide including Tullow, GNPC, and Total.

English language requirements

If your first language is not English, or your first degree was not taught in English, we’ll need to see evidence of your English language ability. The minimum requirement for English language is IELTS 6.5 or equivalent.

We offer a range of English language courses: http://www.hw.ac.uk/study/english.htm

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The University of East London was one of the very first in the world to launch MSc courses in Coaching Psychology and Applied Positive Psychology, both of which have been running with huge success for eight years on campus and by distance learning. Read more

The University of East London was one of the very first in the world to launch MSc courses in Coaching Psychology and Applied Positive Psychology, both of which have been running with huge success for eight years on campus and by distance learning.

Now we are breaking new ground by creating a unique synthesis of the two elements in what is the first MSc course of its kind in the world - the MSc Applied Positive Psychology and Coaching Psychology, which fully integrates positive psychology and coaching psychology to create an innovative training programme for those promoting wellbeing.

There is a growing recognition within the world’s coaching and positive psychology community that such integration is an important step forward, providing clients with a more open-minded approach to their mental health. From the point of view of positive psychology, the course will have a strong foundation in cutting-edge theory and research relating to wellbeing. The coaching element will feature advanced training in working with clients and groups in professional capacities.

Our aim is to equip students with the knowledge, skills, and confidence to be able to help people and organisations to flourish. It combines the study of cutting-edge empirical research and theory on wellbeing with the practical skills and competencies you need to apply this expertise in the real world. The result is a course designed to empower students to truly make a positive difference in the world.



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This programme involves both taught classes in Applied Mathematics and a substantial MRes thesis which accounts for almost two-thirds of the total degree. Read more
This programme involves both taught classes in Applied Mathematics and a substantial MRes thesis which accounts for almost two-thirds of the total degree. The minimum period of registration is 12 months.

The MRes is an ideal preparation for entry into a PhD programme. Indeed, the MRes programme can be used as the first phase of our fast track PhD programme. This is an excellent option for well-qualified mathematics students who do not have all the necessary mathematical background to start immediately on a PhD in their area of choice. In the fast track programme the MRes thesis is extended over a further period of two years into a PhD thesis.

Each MRes student is assigned a project supervisor who will act as director and mentor in the preparation of the MRes thesis. This gives each student the opportunity to work one-to-one with mathematicians who are international experts in their fields.

In addition to the assessed elements of the course, students are expected to play a full part in the research life of the School. The School has an active seminar programme, and organises international conferences in all areas of mathematics.

About the School of Mathematics

The School of Mathematics is one of seven schools in the College of Engineering and Physical Sciences. The school is situated in the Watson Building on the main Edgbaston campus of the University of Birmingham. There are about 50 academic staff, 15 research staff, 10 support staff, 60 postgraduate students and 600 undergraduate students.
At the School of Mathematics we take the personal development and careers planning of our students very seriously. Jointly with the University of Birmingham's Careers Network we have developed a structured programme to support maths students with their career planning from when they arrive to when they graduate and beyond.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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The University of East London was one of the very first in the world to launch MSc courses in coaching Psychology and Applied Positive Psychology, both of which have been running with huge success for eight years on campus and by distance learning. Read more
The University of East London was one of the very first in the world to launch MSc courses in coaching Psychology and Applied Positive Psychology, both of which have been running with huge success for eight years on campus and by distance learning.


Now we are breaking new ground by creating a unique synthesis of the two elements in what is the first MSc course of its kind in the world.

It fully integrates positive psychology and coaching psychology to create an innovative training programme for those promoting wellbeing.

There is a growing recognition within the world’s coaching and positive psychology community that such integration is an important step forward, providing clients with a more open-minded approach to their mental health.

From the point of view of positive psychology, the course will have a strong foundation in cutting-edge theory and research relating to wellbeing.

The coaching element will feature advanced training in working with clients and groups in professional capacities.

Our aim is to equip students with the knowledge, skills, and confidence to be able to help people and organisations to flourish.

It combines the study of cutting-edge empirical research and theory on wellbeing with the practical skills and competencies you need to apply this expertise in the real world. The result is a course designed to empower students to truly make a positive difference in the world.

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LM ERICSSON in association with the ICT Ireland Federation is offering a one year, full-time Masters in Applied Software Technology which will be free to participants and include a three month paid internship with the company and a full-time permanent job as a software engineer in Ericsson on satisfactory completion. Read more
LM ERICSSON in association with the ICT Ireland Federation is offering a one year, full-time Masters in Applied Software Technology which will be free to participants and include a three month paid internship with the company and a full-time permanent job as a software engineer in Ericsson on satisfactory completion.

It offers an integrated approach to delivering end to end software development skills. From computing fundamentals and software design to implementation and testing, the entire lifecycle of software development is covered. The programme focuses on the practical problem-solving skills required for software engineering.

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Statistics is one of the most important fields of study in the world. The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society. Read more
Statistics is one of the most important fields of study in the world. The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society. If you are a logical person and enjoy solving problems, statistics at Essex is for you.

Our Department of Mathematical Sciences embraces pure mathematics, applied mathematics and statistics, and operational research, and our course offers you the opportunity to study statistics alongside other mathematical subjects.

Providing a balance of solid statistical theory and practical application, this course builds your knowledge in all areas of statistics, data analysis and probability. You also have the opportunity to specialise, taking optional modules in topics including:
-Survey methodology
-Operations research
-Applied mathematics
-Computer science

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our department has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

Working in industries such as health, business, social care and finance, graduates are consistently in demand, working on projects such as efficacy of social policy, comparable data of cardiac rehabilitation and manipulation of raw data for academic research.

Our Masters graduates have progressed into careers in banking and finance, actuarial sciences, biological sciences, market research and statistics, management and consultancy etc.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Modelling Experimental Data
-Statistical Methods
-Stochastic Processes
-Applied Statistics
-Bayesian Computational Statistics
-Research Methods
-Dissertation
-Nonlinear Programming (optional)
-Financial Modelling (optional)
-Research Methods in Finance: Empirical Methods in Finance (optional)
-Machine Learning and Data Mining (optional)
-Cloud Technologies and Systems (optional)
-Time Series Econometrics (optional)
-Panel Data Methods (optional)
-Topics in Contemporary Social Theory (optional)
-Introduction to Survey Design and Management (optional)
-Applied Sampling (optional)

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We welcome educational practitioners from science, technology, engineering, mathematics and computing, from all phases of education and work place training on our STEM Masters course. Read more
We welcome educational practitioners from science, technology, engineering, mathematics and computing, from all phases of education and work place training on our STEM Masters course. The STEM Masters course will consider the development of conceptual understanding generic to all the STEM subjects, whilst developing expertise within a specialist aspect. This course will challenge students to think deeply about their own professional contexts and settings, their place and role within this, and the possibilities for development, change, and generating practice knowledge and innovations. We will engage critically with the research that informs thinking about learning and classroom practice in the STEM subjects. We will examine the place of practical experience and the use of problem solving in real life contexts in developing pedagogical approaches. Students will look at how belief systems are established and at some of the counter-intuitive ideas that learners need to confront within the STEM subjects. We will consider the importance of developing positive attitudes in learners and explore the strategies involved in the successful management of change within institutions. Course members will also consider the role of the STEM subjects in all aspects of wider society.

This award is part of the Manchester Met Faculty of Education postgraduate Professional Development Programme.

Features and benefits of the course

-An expert team of tutors working across the STEM disciplines of science, technology, engineering, mathematics and computing
-Masters level continuing professional development tailored for your own context, priorities and interests, drawing on multi/interdisciplinary perspectives
-Offers an opportunity to work with those engaged in STEM education subject disciplines at various levels and to develop a shared understanding of STEM education as an inter-disciplinary and applied approach
-Places enquiry and purpose at the heart of professional practice
-Flexible award structure and three starting points (October, February, June)
-Participation in a large, dynamic and forward-thinking taught postgraduate community
-Course design and delivery to fit with busy work, and other, commitments
-Possibility of accrediting prior experiential learning (APEL)
-Masters level credits from other courses, subject to certain conditions

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The aim of this course is to train data and business analytics professionals who can help their employers climb the pyramid of analytical literacy. Read more
The aim of this course is to train data and business analytics professionals who can help their employers climb the pyramid of analytical literacy. It will also equip recent graduates with the skills to gain competitive advantage based on analytical insight into business, scientific and other types of data.

It is an ideal second degree for recent graduates in maths or physics, who need to convert their skills and knowledge into a recognised Master's qualification that will allow them to enter the highly paid profession of data analysis. The skills shortage in this field was highlighted in a recent McKinsey report, which predicted that the United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise, and 1.5 million managers and analysts with the skills to understand and make decisions.

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If you want to work in the sport industry, an MSc will give you more experience and greater flexibility. Aimed at those with a sports science degree or similar, it’s carefully tailored to maximise your employability within sport and offers an unrivalled range of professional expertise and top class facilities. Read more

If you want to work in the sport industry, an MSc will give you more experience and greater flexibility. Aimed at those with a sports science degree or similar, it’s carefully tailored to maximise your employability within sport and offers an unrivalled range of professional expertise and top class facilities. It will offer you the chance to study a generic MSc alongside a specialisation within different areas of Sport and Exercise Science.

This course is designed and tailored to your own preferred specialism in either of the following: Sport Psychology; Strength and Conditioning or Clinical Exercise Physiology.

At the University of East London, we’ve benefited from substantial investment in sport, and in 2011 we were awarded the title ‘most improved sports University in the UK’ by the British University and Colleges Sports Association. Since then we’ve gone from strength to strength.

The course covers aspects of sports coaching, sports rehabilitation and analyses fitness through exercise and research which is conducted in our physiology labs.It emphasises the vital role of physical activity in the prevention and treatment of chronic disease and explores human anatomy, biomechanics, exercise physiology and psychology which contribute to maintaining and improving health. 

You will work alongside experts at our £21 million SportsDock complex at our Docklands campus, which houses a specialist strength and conditioning facility, physiology laboratories and new lecture theatres. You would expect no less from a university that's located so close to the Queen Elizabeth Olympic Park.



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Study a course accredited by The Geological Society, ensuring our teaching is of the highest quality. ‌Build on your existing geoscience knowledge to create an understanding of all aspects of the petroleum system. Read more

Why choose this course:

• Study a course accredited by The Geological Society, ensuring our teaching is of the highest quality
• ‌Build on your existing geoscience knowledge to create an understanding of all aspects of the petroleum system
• Improve your skills to enhance your career prospects in a variety of industry roles, including subsurface analysis, wellsite operations, and technical/commercial support
• Develop your ability to evaluate technical and commercial risks that affect success in the oil industry.

About the course:

A comprehensive course
This comprehensive course combines academic and practical teaching to prepare you for, or further, your career in the petroleum industry. Having received accreditation from the Geological Society of London, you can be confident that the course is topical and well regarded across the sector.

If you’re an international student, you must apply for the full masters course and study it over one year, starting in September. If you’re a UK or EU resident, you can study full-time or part-time. Modules are offered in four-week blocks to allow short periods of study leave from work.
Experienced teachers
Our tutors all have extensive experience and will give you a real insight into the oil industry. Teaching takes place in the classroom, laboratory, and in the field. You’ll also receive professional training to make sure your communication skills are up to industry standards.

Learning stages
The Postgraduate Certificate stage is an intensive 12-week course taught in the Autumn semester. The high degree of industry involvement means that you’ll benefit from the latest thinking in the areas of petroleum geology, petroleum techniques, and geological and commercial risk. Because it’s a short course, UK/EU students may choose to leave after gaining the Certificate and apply for entry-level work.

Alternatively, you can take the three Postgraduate Diploma modules in sequence in the Spring semester and then move on to the Independent Project for your MSc in May. If you choose to study part-time, you’ll need to be in Derby for four-week periods for each module.

The MSc stage will give you specialist knowledge and experience, because your independent project will involve working with data to address a current industry issue. You can study full-time for four months at Derby during the summer semester, or part-time while you work.

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This programme is designed for graduates in mathematics, engineering, or science with excellent numeracy skills, wishing to pursue careers in the application of mathematics, in traditional areas such as engineering and science and in service areas such as finance and banking, where knowledge of modern applications of mathematics would be advantageous. Read more
This programme is designed for graduates in mathematics, engineering, or science with excellent numeracy skills, wishing to pursue careers in the application of mathematics, in traditional areas such as engineering and science and in service areas such as finance and banking, where knowledge of modern applications of mathematics would be advantageous. The core philosophy of the programme is to equip students both with mathematics and its applications and with high-level scientific software and associated numerical skills. The Greenwich campus, near the financial district of Canary Wharf, enables the department to build ties with many modern engineering and applied mathematics practitioners enabling our students to become part of a wider group. The Leslie Comrie seminar series, inviting both academics and industrialists, allows you to interact with our external links creating an advantageous learning experience. We provide you the grounds for building a high profile of understanding of current research practices in the industry. Our classes contain interactive applications that enhance the learning experience by innovative teaching practices. Utilising research expertise within the department you will graduate with a strong understanding of numerical methods. You will also develop an understanding for further applicability in various fields of applied mathematics and engineering.

This programme is suitable both for fresh graduates and also for experienced professional practitioners who wish to further their skills. The programme core modules cover modern mathematical skills together with applications across different industries, and there are optional professional modules directly related to research expertise within the Faculty. This ensures that students have an advanced understanding of both theory and practice in their selected specialist areas. Students will gain knowledge of mathematical skills and applications, computational skills, and relevant professional experience, related to traditional engineering and science modelling, modern enterprise applications, finance, and service industries. They will gain an understanding of emerging applications. There will be hands-on training in various development tools and in the use of computational software related to their professional direction. Assessment takes the form of 100% coursework, based on applications of current market practices. A supervised thesis project takes place at the end of the last teaching term during the summer months. Projects are allocated in March and students are invited to undertake a project that provides genuine insight in an area of the research interests within the department. The programme is also available on a part-time basis.

Visit the website http://www2.gre.ac.uk/study/courses/pg/maths/appmaths

Mathematics

Postgraduate mathematics students benefit from award-winning teaching and great facilities. Our programmes are informed by world-renowned research and our links with industry ensure our students develop the academic and practical skills that will enhance their career prospects.

What you'll study

Full time
- Year 1:
Option Set 1

Students are required to study the following compulsory courses.

English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Mathematics and its Applications (30 credits)

Students are required to choose 60 credits from this list of options.

Scientific Software Design and Development (15 credits)
Inverse Problems (15 credits)
Mathematics of Complex Systems (15 credits)
Reliability and Optimisation (15 credits)

Option Set 2
Students are required to study the following compulsory courses.

English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Mathematics and its Applications (30 credits)

Students are also required to choose 60 credits from this list of options.

Principles and Practice of Evacuation Modelling (30 credits)
Principles and Practice of Fire Modelling (30 credits)

Option Set 3

Students are required to study the following compulsory courses.

English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Mathematics and its Applications (30 credits)

Students are also required to choose 45 credits from this list of options.

Scientific Software Design and Development (15 credits)
Inverse Problems (15 credits)
Mathematics of Complex Systems (15 credits)
Reliability and Optimisation (15 credits)

Students are also required to choose 15 credits from this list of options.

Enterprise Software Engineering Development (15 credits)
Software Tools and Techniques (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Financial Time Series (15 credits)
Advanced Finite Difference Methods for Derivatives Pricing (15 credits)

Part time
- Year 1:
Students are required to study the following compulsory courses.

Inverse Problems (15 credits)
Mathematics and its Applications (30 credits)
Reliability and Optimisation (15 credits)

- Year 2:
Students are required to study the following compulsory courses.

Scientific Software Design and Development (15 credits)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematics of Complex Systems (15 credits)

Students are required to choose 15 credits from this list of options.

Advanced Finite Difference Methods for Derivatives Pricing (15 credits)
Mathematical Approaches to Risk Management (15 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Find out more about our fees and the support available to you at our:
- Postgraduate finance pages (http://www.gre.ac.uk/finance/pg)
- International students' finance pages (http://www.gre.ac.uk/finance/international)

Assessment

100% coursework: a supervised thesis project (during the summer months).

Career options

Our graduates are equipped with the tools to involve in many engineering applications and computational engineering sectors such as reliability engineering, risk management, complex engineering systems, fire safety and finance. Our expert seminar series gives you the opportunity to interact with leading figures from industry and academia and undertake projects of current industry practice. A postgraduate qualification is a major achievement and a milestone in your specialised career path leading to a professional career. The Department also offers a PhD programme which trains highly skilled candidates towards research careers in academia and industry. Our current collaborations for our PhD candidates lie with the STRIKE project for mathematical and computational applications.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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Do you have an aptitude and passion for mathematics and statistics, a keen interest in finance and insurance and want to work for a major financial organisation in finance, insurance or the money market? This course will provide you with a deep understanding of the world of finance, and give you the ability to speak its 'language'. Read more
Do you have an aptitude and passion for mathematics and statistics, a keen interest in finance and insurance and want to work for a major financial organisation in finance, insurance or the money market? This course will provide you with a deep understanding of the world of finance, and give you the ability to speak its 'language'. This course combines theory with hands-on practical skills via an industry placement or research project – ensuring you graduate with the right skills increasingly being sought by banks and other financial institutions.

The Master of Financial Mathematics offers advanced training in the core areas of stochastic, financial and insurance modelling, statistical analysis and computational methodology, as well as in a wide range of elective topics from economics, econometrics, finance, mathematics and probability.

Graduates of this course are likely to enter specialist careers in research departments within banks, insurance and consultancy firms or derivatives of valuation and portfolio management within investment houses.

The School of Mathematical Sciences sits within the leading Faculty of Science at Monash University. This vibrant, dynamic and successful School is undergoing a period of growth with the appointment of several new senior academic staff including Professor Gregoire Loeper, Course Director for the Masters of Financial Mathematics. With mathematics as the fundamental underpinning of so many subject areas, sectors and disciplines, the School is also building ever stronger collaborations with relevant industries, including the financial sector.

Visit the website http://www.study.monash/courses/find-a-course/2016/financial-mathematics-s6001?domestic=true

Course Structure

The course is structured in three Parts. Part A. Orientation studies, Part B. Specialist studies, Part C. Applied professional practice. All students complete Part B. Depending upon prior qualifications, you may receive credit for Part A or Part C or a combination of the two.

Part A. Orientation studies
These studies provide an orientation to the field of Financial Mathematics. You will choose studies that complement your current knowledge relevant to financial mathematics, including principles of econometrics, mathematical methods and stochastic processes.

Part B. Specialist studies
These studies will provide you with advanced knowledge and skills relevant to thoughtful, innovative and evidence-based practice in financial modelling and analysis. You will acquire core knowledge of and skills in financial econometrics, and advanced mathematical modelling and computational methods in finance. You will complement these with study in areas of your choice, including interest rate modelling, Markov processes, statistical learning in finance, and global financial markets.

Part C. Applied professional practice
These studies will provide you with the opportunity to apply your knowledge skills developed in Part A and B to "real life" problems, through completing an industry project or an industry internship. Students admitted to the course who have a recognised honours degree or graduate diploma or graduate certificate in a cognate discipline including mathematics or statistics, will receive credit for this part however, should they wish to complete a 24 point research project as part of Part B they should consult with the course convenor.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/science

About Mathematical Sciences

The School of Mathematical Sciences at Monash University is leading the way towards finding effective solutions to some of society's most pressing problems. Maths is the language of science and forms the basis of most of modern science and engineering. Our enthusiastic mathematicians love finding the true magic and beauty in maths and subsequently pass this passion on to their students.

Teaching

Studying maths equips you with a range of valuable, unique skills. Some of the exciting areas mathematicians at Monash are working on include mathematical modelling to predict behaviour, analysis using pure maths, and stochastic processes involving risk, randomness and change.

Mathematics and statistics are also the two cornerstones for decision making and various quantitative activities in commerce, industry, education and defence. From direct and daily experience, most companies and organisations have realised that success depends critically on the level of analytical, quantitative and statistical skills of their workforce and they therefore seek employees with a sound mathematical training.

By studying mathematics at Monash, you will also develop general skills in problem-solving, critical thinking, modelling, learning, analysis, research and creativity, which can be used wherever your career may take you.

Research

The School of Mathematical Sciences focuses on these main areas of research:

- Applied and Computational Mathematics
- Pure Mathematics
- Stochastic Processes

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/financial-mathematics-s6001?domestic=true#making-the-application

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