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University of Oxford Masters Degrees

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The part-time DPhil Programme considers applications from those who have already been awarded the MSc in Evidence-Based Health Care. Read more
The part-time DPhil Programme considers applications from those who have already been awarded the MSc in Evidence-Based Health Care. Applications may also be considered from students with a Master's in a related subject. Supervision is arranged to suit the DPhil topic and may involve staff from within the Medical Sciences Division as well as co-supervision with members of the Evidence-Based network.

Visit the website https://www.conted.ox.ac.uk/about/dphil-in-evidence-based-health-care

Description

The part-time DPhil is part of the Evidence-Based Health Care Programme, which is jointly run with the Centre for Evidence-Based Medicine in the Nuffield Department of Primary Health Care Sciences. The programme also works closely with the Centres of Evidence-Based Nursing, Evidence-Based Mental Health, and Evidence-Based Dentistry. The Department's graduate students have access to the full range of Oxford's library and computing facilities.

The part-time DPhil regulations normally require a minimum of six years' part-time study (equivalent to two years' full-time) up to a maximum of eight years part-time study. Research students may be required to undertake appropriate research training provided within the Department. In addition, they will be strongly encouraged to participate in seminars and informal meetings with staff and other researchers. The major commitment of time will be to individual study and research.

Find out how to apply here - http://www.ox.ac.uk/admissions/graduate/applying-to-oxford

Visit the DPhil in Evidence-Based Health Care page on the University of Oxford web site for more details!

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The Oxford Executive MBA is a 21-month part-time modular programme designed to help you realise your potential whilst delivering international general management competence to your organisation. Read more
The Oxford Executive MBA is a 21-month part-time modular programme designed to help you realise your potential whilst delivering international general management competence to your organisation.

Designed for senior professionals, the programme starts in January each year and finishes in the September of the following year, with 17 self-contained residential week-long modules held approximately every six weeks. Each module runs from Monday morning 9am to Friday afternoon, with continuous e-learning between modules.

The programme offers:

A comprehensive general management education
An emphasis on personal development to help you realise your leadership potential
A forensic focus on the topics that are most important to you and your organisation
Powerful connections forged with students from all over the world and lifelong relationships formed through membership of one of the oldest universities in the world.
There are nine core modules that offer you a comprehensive understanding of modern business and eight elective modules designed to develop your individual skills and specialisations. There are two core modules and one elective module delivered in key global markets and centres of expertise.

You also have an opportunity to undertake an ‘entrepreneurship project’ in which you will develop a complete business plan and present it to your company sponsor and a panel of faculty associates.

For further information go to http://www.sbs.oxford.edu/emba

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The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of real finance problems. … Read more

The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of real finance problems. You will develop skills so that you are able to formulate a well posed problem from a description in financial language, carry out relevant mathematical analysis, develop and implement an appropriate numerical scheme and present and interpret these results.

The course lays the foundation for further research in academia or for a career as a quantitative analyst in a financial or other institution.

You will take three introductory courses in the first week. The introductory courses cover partial differential equations, probability and statistics and MATLAB.

The first term focuses on compulsory core material, offering 80 hours of lectures and 40 hours of classes/practical. The core courses are as follows:

  • Stochastic Calculus
  • Financial Derivatives
  • Numerical Methods I - Monte-Carlo
  • Numerical Methods I - Finite Differences
  • Statistics and Financial Data Analysis
  • Financial Programming with C++ 1

In the second term, three streams are offered; each stream consists of 32 hours of lectures and 16 hours of classes/practical. The Tools stream is mandatory and you will also take either the Modelling stream or the Data-driven stream.

Modelling stream

  • Exotic derivatives
  • Stochastic volatility, jump diffusions
  • Commodities
  • Fixed income

Data-driven stream

  • Asset pricing and inefficiency of markets
  • Market microstructure and trading
  • Algorithmic trading
  • Advanced financial data analysis
  • Machine learning
  • Python

Tools stream

  • Numerical methods 2 - Monte Carlo methods
  • Numerical methods 2 - Finite differences
  • Calibration
  • Optimisation
  • Introduction to stochastic control

As well as the streams, the course includes a compulsory one-week (24 hours of lectures) intensive module on quantitative risk management which is to be held in/around the week before the third term.

The third term is dedicated to a dissertation project which is to be written on a topic chosen in consultation with your supervisor.

The second component of the financial computing course, Financial Computing with C++ 2 (24 hours of lectures and practicals in total), is held shortly after the third term.

The examination will consist of the following elements:

  • two written examinations and one take-home project, each of two hours' duration - the written examinations will cover the core courses in mathematical methods and numerical analysis
  • a written examination on the Modelling stream or a written examination and a computer-based practical examination on the Data-driven stream
  • a written examination assessing the Tools stream
  • a take-home project assessing the course in quantitative risk management
  • two practical examinations assessing two courses in financial computing with C++.

Graduate destinations

MSc graduates have been recruited by prominent investment banks and hedge funds. Many past students have also progressed to PhD-level studies at leading universities in Europe and elsewhere.



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The course is run jointly by the. Mathematical Institute. and the. Department of Physics. It provides a high-level, internationally competitive training in mathematical and theoretical physics, right up to the level of modern research. Read more

The course is run jointly by the Mathematical Institute and the Department of Physics. It provides a high-level, internationally competitive training in mathematical and theoretical physics, right up to the level of modern research. It covers the following main areas:

  • quantum field theory, particle physics and string theory
  • theoretical condensed matter physics,
  • theoretical astrophysics, plasma physics and physics of continuous media
  • mathematical foundations of theoretical physics

The course concentrates on the main areas of modern mathematical and theoretical physics: elementary-particle theory, including string theory, condensed matter theory (both quantum and soft matter), theoretical astrophysics, plasma physics and the physics of continuous media (including fluid dynamics and related areas usually associated with courses in applied mathematics in the UK system). If you are a physics student with a strong interest in theoretical physics or a mathematics student keen to apply high-level mathematics to physical systems, this is a course for you.

The course offers considerable flexibility and choice; you will be able to choose a path reflecting your intellectual tastes or career choices. This arrangement caters to you if you prefer a broad theoretical education across subject areas or if you have already firmly set your sights on one of the subject areas, although you are encouraged to explore across sub-field boundaries.

You will have to attend at least ten units' worth of courses, with one unit corresponding to a 16-hour lecture course or equivalent. You can opt to offer a dissertation as part of your ten units. Your performance will be assessed by one or several of the following means: 

  • invigilated written exams
  • course work marked on a pass/fail basis
  • take-home exams
  • mini-projects due shortly after the end of the lecture course.

The modes of assessment for a given course are decided by the course lecturer and will be published at the beginning of each academic year. As a general rule, foundational courses will be offered with an invigilated exam while some of the more advanced courses will typically be relying on the other assessment methods mentioned above. In addition, you will be required to give an oral presentation towards the end of the academic year which will cover a more specialised and advanced topic related to one of the subject areas of the course. At least four of the ten units must be assessed by an invigilated exam and, therefore, have to be taken from lecture courses which provide this type of assessment. A further three units must be assessed by invigilated written exam, take-home exam or mini-project. Apart from these restrictions, you are free to choose from the available programme of lecture courses.

The course offers a substantial opportunity for independent study and research in the form of an optional dissertation (worth at least one unit). The dissertation is undertaken under the guidance of a member of staff and will typically involve investigating and write in a particular area of theoretical physics or mathematics, without the requirement (while not excluding the possibility) of obtaining original results.



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The part-time MSc in Mathematical Finance aims to develop your mathematical modelling, data analysis and computational skills as applied to finance, without the need to take time out of your career to study. . Read more

The part-time MSc in Mathematical Finance aims to develop your mathematical modelling, data analysis and computational skills as applied to finance, without the need to take time out of your career to study. 

Incorporating concepts from applied and pure mathematics, statistics, computing and corporate finance, the course gives you a broad intellectual perspective and covers, from fundamentals to the latest research, the most important aspects of quantitative finance currently in use in the finance industry.

The course:

  • is delivered in a series of intensive week-long modules based in Oxford, so that time away from work is kept to a minimum; 
  • allows you to choose advanced modules based on, and write an academic dissertation in, an area of relevance to your career;
  • regularly updates its content to reflect the ever-changing industry and keep the material relevant;
  • is taught by a panel of world-leading academics and industrial practitioners; and

It is possible to exit the course early and be awarded the Postgraduate Diploma in Mathematical Finance, should work pressures intervene before it is possible to write a dissertation.

In order to complete the MSc each student must attend and be assessed on four core modules, three advanced modules and to submit a dissertation. Students are expected to take seven terms (28 months) to complete the course. 

Modules are taught through a series of lectures, practical sessions, guided reading, guest lectures and course assignments. 

The core modules cover the mathematical foundations of probability, statistics and partial differential equations, stochastic calculus and martingale theory, portfolio theory, the Black-Scholes model and extensions, numerical methods (finite differences and Monte Carlo), interest rate modelling, stochastic optimisation, exotic derivatives and stochastic volatility. MATLAB and Python are used as a practical computing languages.

Attendance at the four core modules is compulsory. For each module there is an assignment for which feedback and an indicative mark is given to assist you in improving your future performance. Assessment for these compulsory modules consists of two two-hour written examinations held in September of the first year.

Each of the advanced modules explores a key area in contemporary mathematical finance. The programme of advanced modules is published in July each year, and you will be asked to register your choice of three modules. Attendance at these three assessed modules is compulsory. Advanced modules will be assessed by short ‘special project’ reports, each submitted on a subject chosen by you that is covered in the module.

You will complete a dissertation on a topic chosen in consultation with your supervisor and the Course Director.



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This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Read more

This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results.

By the end of the course students should be able to formulate a well posed problem in mathematical terms from a possibly sketchy verbal description, carry out appropriate mathematical analysis, select or develop an appropriate numerical method, write a computer program which gives sensible answers to the problem, and present and interpret these results for a possible client. Particular emphasis is placed on the need for all these parts in the problem solving process, and on the fact that they frequently interact and cannot be carried out sequentially.

The course consists of both taught courses and a dissertation. To complete the course you must complete 13 units.

There are four core courses which you must complete (one unit each), which each usually consist of 24 lectures, classes and an examination. There is one course on mathematical methods and one on numerical analysis in both Michaelmas term and Hilary term. Each course is assessed by written examination in Week 0 of the following term.

Additionally, you must choose at least least one special topic in the area of modelling and one in computation (one unit each). There are around twenty special topics to choose from, spread over all three academic terms, each usually consisting for 12 to 16 lectures and a mini project, which culminates in a written report of around 20 pages. Topics covered include mathematical biology, fluid mechanics, perturbation methods, numerical solution of differential equations and scientific programming. 

You must also undertake at least one case study in modelling and one in scientific computing (one unit each), normally consisting of four weeks of group work, an oral presentation and a report delivered in Hilary term.

There is also a dissertation (four units) of around 50 pages, which does not necessarily need to represent original ideas. Since there is another MSc focussed on mathematical finance specifically, the MSc in Mathematical and Computational Finance, you are not permitted to undertake a dissertation in this field.

You will normally accumulate four units in core courses, three units in special topics, two units in case studies and four units in the dissertation. In addition, you will usually attend classes in mathematical modelling, practical numerical analysis and additional skills during Michaelmas term.

In the first term, students should expect their weekly schedule to consist of around seven hours of core course lectures and seven hours of modelling, practical numerical analysis and additional skills classes, then a further two hours of lectures for each special topic course followed. In addition there are about three hours of problem solving classes to go through core course exercises and students should expect to spend time working through the exercises then submitting them for marking prior to the class. There are slightly fewer contact hours in the second term, but students will spend more time working in groups on the case studies.

In the third term there are some special topic courses, including one week intensive computing courses, but the expectation is that students will spend most of the third term and long vacation working on their dissertations. During this time, students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed. Students are expected to write special topic and case study reports during the Christmas and Easter vacations, as well as revising for the core course written examinations.



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The MSc in Mathematics and Foundations of Computer Science, run jointly by the. Mathematical Institute. and the. Department of Computer Science. Read more

The MSc in Mathematics and Foundations of Computer Science, run jointly by the Mathematical Institute and the Department of Computer Science, focuses on the interface between pure mathematics and theoretical computer science. 

The mathematical side concentrates on areas where computers are used, or which are relevant to computer science, namely algebra, general topology, number theory, combinatorics and logic. Examples from the computing side include computational complexity, concurrency, and quantum computing. Students take a minimum of five options and write a dissertation.

The course is suitable for those who wish to pursue research in pure mathematics (especially algebra, number theory, combinatorics, general topology and their computational aspects), mathematical logic, or theoretical computer science. It is also suitable for students wishing to enter industry with an understanding of the mathematical and logical design and concurrency.

The course will consist of examined lecture courses and a written dissertation. The lecture courses will be divided into two sections:

  • Section A: Mathematical Foundations
  • Section B: Applicable Theories

Each section shall be divided into schedule I (basic) and schedule II (advanced). Students will be required to satisfy the examiners in at least two courses taken from section B and in at least two courses taken from schedule II. The majority of these courses should be given in the first two terms. 

During Trinity term and over the summer students should complete a dissertation on an agreed topic. The dissertation must bear regard to course material from section A or section B, and it must demonstrate relevance to some area of science, engineering, industry or commerce.

It is intended that a major feature of this course is that candidates should show a broad knowledge and understanding over a wide range of material. Consequently, each lecture course taken will receive an assessment upon its completion by means of a test based on written work. Students will be required to pass five courses, that include two courses from section B and two at the schedule II level - these need not be distinct - and the dissertation.

The course runs from the beginning of October through to the end of September, including the dissertation.



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Why should you consider the one year MBA from the University of Oxford?. The business world is currently experiencing a period of unprecedented transformation. Read more
Why should you consider the one year MBA from the University of Oxford?

The business world is currently experiencing a period of unprecedented transformation. To remain competitive, companies need to think well beyond the scope of standard business models to address world-scale social, environmental, political and economic challenges.

Success in today’s rapidly changing and complex global business environment requires a unique set of skills and knowledge. The Oxford Saïd MBA prepares future business leaders to understand and respond to world-scale problems. We teach our students to see the big picture and to appreciate the implications and opportunities for organisations and new enterprises. Our one-year full time MBA provides a solid grounding in the major business disciplines and core business skills with eight core modules in fundamental business areas, a selection of seven to nine electives and projects.

A top ranked programme embedded in a world class university

Oxford Saïd is embedded within Oxford University, allowing us to offer a curriculum that draws upon cutting edge research and knowledge from various disciplines. Our faculty’s first-hand experience and knowledge creates a dynamic learning environment in the MBA classroom, often spilling over into lively debates and discussions outside of class as well. The exchange of ideas and knowledge make the experience at Oxford truly transformative.

Community

Oxford Saïd MBA students come from diverse backgrounds and experiences and are part of a world-class community of faculty, staff, students and alumni who share a passion for ideas and learning, and who aspire to make a difference. As all Oxford students, you will be a member of one of its 44 colleges and halls, providing the opportunity to meet students with different backgrounds studying other subjects and to be part of clubs and associations outside Saïd Business School. You will attend thought-provoking events and participate in debates at the Oxford Union and, upon completion of your course, will be part of a global Alumni Network.

A year in Oxford will change your life and expand your ambitions.
For further information go to http://www.sbs.oxford.edu/mba

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Applications have closed to start the MPhil in Sociology and Demography in 2017-18. Applications to start in October 2018 will open in September. Read more

About the course

Applications have closed to start the MPhil in Sociology and Demography in 2017-18. Applications to start in October 2018 will open in September.

The MPhil introduces students to contemporary theories and research methods on the intersection of sociology and demography. This 21-month programme takes a life-course and multilevel approach, aiming to integrate micro and macro issues in analysing social problems and the causes and consequences of population change.

The MPhil Sociology and Demography will prepare you for doctoral work in sociology and demography and research-intense jobs.

The curriculum emphasises:

• population-level analysis and demographic measures
• a life course approach
• sociological analysis as the key approach to explanation
• advanced quantitative methods.

This emphasis is reflected in the compulsory papers. Optional papers and the thesis will reflect either a more specialised topical study (eg gender, family and fertility, migration and integration of migrants, health and mortality, intergenerational relationships) or methodological work.

The MPhil programme has the following components:

• Sociological Analysis paper taught in the first year through lectures and seminars, assessed by an unseen examination
• Demographic Analysis paper taught in the first year through lectures, seminars and computer labs, assessed through a combination of examination and assignments
• Life Course Research paper taught in the first year through lectures, seminars and computer labs, assessed through a combination of methods
• Statistical Methods paper taught in the first year through lectures and computer labs, assessed through a combination of a test and assignments
• Research Design paper taught in the first year through lectures, assessed via a combination of methods
• Two optional papers over both years of the MPhil, normally taught through eight weekly classes/seminars for each paper and assessed by unseen examination or appropriate coursework
• Replication project in the second year, comprising a combination of individual and group work and assessed via assignments
• MPhil thesis, a substantial piece of original research (of up to 30,000 words) to be submitted by the end of the second year

Please note that the optional papers available may vary from year to year. For information about the optional papers available in 2016-17 please see http://www.sociology.ox.ac.uk/course-list?search=course_list&task=search.

Graduate destinations

Graduates often continue with a PhD at Oxford or doctoral studies at highly-ranked US and continental programmes. Others find placement in research-intensive occupations in the public sector (eg national statistical offices, government departments and regional/local authorities), in international organisations, think tanks, and in private sector occupations in which quantitative skills are highly valued (consulting, market research, health research, social research, and insurance companies).

Entry requirements for entry in 2017-18

Academic ability -

Proven and potential academic excellence:

Applicants are normally expected to be predicted or have achieved a first-class or strong upper second-class undergraduate degree with honours (or equivalent international qualifications), as a minimum, in a social science subject.

The department will only consider applicants who have an undergraduate degree in arts, humanities or science subjects if they can demonstrate a strong interest in sociology, as taught at Oxford.

For applicants with a degree from the USA, the minimum GPA sought is 3.7 out of 4.0.

Other appropriate indicators will include:

- References/letters of recommendation

Your references will support intellectual ability, academic achievement, motivation, a demonstrable interest in sociology as it is taught at Oxford.

Academic references are preferred, though professional references are acceptable if you have spent a significant amount of time in work.

- Written work produced by the student

Two pieces of written work of no more than 2,000 words are required. The written work must be in English and preferably about a sociological subject. Extracts from longer pieces should be prefaced by a short note which puts them in context.

This will be assessed for comprehensive understanding of the subject area; understanding of problems in the area; ability to construct and defend an argument; powers of analysis; powers of expression.

The work need not be closely related but it should have some sociological content.

- Statement of purpose/personal statement

The personal statement must be in English and should be approximately 750 words in length.

This will be assessed for:

• your reasons for applying
• evidence of motivation for and understanding of the proposed area of study
• the ability to present a reasoned case in English
• commitment to the subject, beyond the requirements of the degree course
• preliminary knowledge of research techniques; capacity for sustained and intense work
• reasoning ability
• ability to absorb new ideas, often presented abstractly, at a rapid pace.

Your statement should focus on your academic record and interests rather than personal achievements, interests and aspirations.

English language requirement:

Applicants whose first language is not English are usually required to provide evidence of proficiency in English at the higher level required by the University - https://www.ox.ac.uk/admissions/graduate/applying-to-oxford/application-guide?wssl=1#content-tab--3

Funding

There are over 1,000 full graduate scholarships available for courses starting in 2016-17. Full scholarships will cover your course and college fees and provide a grant for living costs. Information about the full range of funding available can be found in the Fees and funding section - http://www.ox.ac.uk/node/17098/

For over 70% of Oxford scholarships, nothing more than the standard course application is usually required. If you fulfil the eligibility criteria and apply by the relevant January deadline, you will be automatically considered. Use the Fees, funding and scholarship search to find out whether you are eligible for scholarships which require an additional application. If you are, the tool will include links to full details of how to apply - http://www.ox.ac.uk/admissions/graduate/fees-and-funding/fees-funding-and-scholarship-search

Divisional funding opportunities:

Oxford hosts one of 21 Doctoral Training Centres accredited by the Economic and Social Research Council (ESRC). In 2016 approximately 65 ESRC studentships are available across the Social Sciences. See the Social Sciences Doctoral Training Centre website for details - http://researchtraining.socsci.ox.ac.uk/home-dtc

Costs

Annual fees for entry in 2017-18 - https://www.ox.ac.uk/admissions/graduate/fees-and-funding/tuition-and-college-fees/fee-status?wssl=1

Home/EU (including Islands) - Tuition fee: £8,715; College fee: £3,021; Total annual fees: £11,736
Overseas - Tuition fee: £16,770; College fee: 3,021; Total annual fees: £19,791

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This unique course offers exceptional opportunities for you to combine knowledge of research, basic and applied, with the analysis of educational programmes and policy. Read more
This unique course offers exceptional opportunities for you to combine knowledge of research, basic and applied, with the analysis of educational programmes and policy. This full-time, one year course, welcomes applicants from varied backgrounds wishing to develop their knowledge of children and educational issues: primary school teachers seeking specialisation in literacy or numeracy; experienced Early Years professionals; teachers of children with special educational needs; professionals aiming to take on a leadership role in different types of services for children. Psychology graduates and professionals who wish to pursue a doctoral degree later will find the course an excellent first step.

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The course consists of three main themes. Policy discourses and historical perspectives in higher education. Student experiences and changing academic practice. Read more
The course consists of three main themes:

• Policy discourses and historical perspectives in higher education
• Student experiences and changing academic practice
• Foundations of educational research

The course aims to:

• provide the knowledge, skills and understanding necessary to evaluate and discuss current debates in higher education research and its implications for policy and practice.
• develop the ability to critically assess the historical development and philosophical underpinnings of different models of higher education.
• develop the ability to define and formulate research problems and questions in the field of higher education.

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The MSc in E-learning provides a stimulating, research-focused exploration of theory and practice across the field of e-learning activities. Read more
The MSc in E-learning provides a stimulating, research-focused exploration of theory and practice across the field of e-learning activities. The course is intended for students and professionals with an interest in e-learning at all levels of education:
• e-learning specialists and co-ordinators
• researchers in a range of educational contexts
• teachers and lecturers
• policy makers & managers

You should consider this course if you want to develop your knowledge, expertise and research skills in using digital technologies to enhance educational provision in contexts such as schools, further education and universities, as well as settings outside formal education.

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This new two-year part-time MSc programme has been introduced at a time when high quality educational assessment is recognised as a core element of a strong education system. Read more

This new two-year part-time MSc programme has been introduced at a time when high quality educational assessment is recognised as a core element of a strong education system.

The aim of the course is to provide researchers and professionals with the skills to develop and improve educational assessments in their own settings. Students will gain technical and statistical knowledge in assessment and engage with the design and evaluation of educational assessments, as well as come away with a sound understanding of the field, including high stakes assessment systems.

The course combines teaching sessions within the Department and online support through the University’s Virtual Learning Environment (WebLearn). In the second year of the course students will receive supervision of dissertation projects from a University supervisor with expertise in a particular subject.

Assessment will be through an assignment for each unit, plus a dissertation in the final term of the second year. Areas covered in the assessments include: assessment issues and practice, assessment design and statistical evaluation of assessment data; assessment analysis; teacher assessment; international large-scale assessments; advanced analysis techniques.

On completion of the course, graduates will have a sound understanding of the design of assessment systems, the options available and their implications. They will be able to analyse the quality of assessments and engage in research, policy and practice questions in an informed and critical manner.

This Masters qualification will have an impact upon the quality of educational assessments in a wide range of settings by enhancing assessment skills and increasing opportunities for progression to senior positions in educational assessment organisations both nationally and internationally.



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Welcome to the Oxford MSc in Financial Economics. Primary tabs. View published(active tab) New draft Moderate. Read more
Welcome to the Oxford MSc in Financial Economics

Primary tabs
View published(active tab) New draft Moderate

The Oxford MSc Financial Economics (MFE) is a full-time nine-month programme that will provide you with outstanding training in the tools of financial economics sought by many financial institutions, companies, and public organisations. It combines a rigorous academic core with tailored practical applications, designed in consultation with leading financial recruiters.

The MFE is run jointly by Saïd Business School’s finance faculty and the University’s Department of Economics. The finance faculty at the Business School is one of the fastest growing and most prestigious in Europe and they work closely alongside the most diverse and well-known groups of economists in the world.

This unique programme is delivered through the Business School which means that, unlike other graduate courses, it features interactive classes, use of case studies, practitioner teaching, and proactive careers support. The programme is currently ranked first in the UK and seventh in the world by the FT ranking for Masters in Finance 2014.

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Oxford is a wonderful place to study and it has unrivalled facilities. We have been running this part-time masters course successfully for thirteen years. Read more

Overview

Oxford is a wonderful place to study and it has unrivalled facilities. We have been running this part-time masters course successfully for thirteen years. The overwhelming response gained from our students is one of satisfaction, enjoyment and fulfilment. We have brought together a good balance of men and women, older and younger students, historic environment professionals and those with a personal or community interest in the subject. We have had some great field experiences and outstanding seminars. Although the coursework requires a solid commitment from you over two years, the course atmosphere is informal and friendly, and we aim to support every student with ideas, guidance and encouragement.

Visit the website https://www.conted.ox.ac.uk/about/msc-in-applied-landscape-archaeology

What the course offers

The MSc in Applied Landscape Archaeology is a part-time modular course over two years, leading to an Oxford University Postgraduate Degree in Archaeology. Students become fully matriculated members of Oxford University during their period of registration, and therefore also become a member of a college. The course is designed for the needs of students who wish to study part-time and this includes those who are in full-time employment. Those with a personal or professional interest in landscape archaeology are welcome to apply.

Landscape Archaeology is an increasingly popular and widely-understood concept. Using a multi-period systematic approach, it is concerned with understanding past human impacts on the resources, topography and environment of the whole landscape, from uplands to coasts, and from farmed landscapes to urban/industrial areas.

Many methods of research are being developed in landscape archaeology, including geophysical survey, digital mapping and remote-sensing techniques such as LiDAR. These take their place alongside fieldwalking, historic landscape analysis, aerial photography and selective excavation to provide an effective armoury of techniques for the researcher. Skills such as survey and resource assessment are becoming essential for anyone involved in the management of the historic environment. Effecive communication and presentation of the value and potential of the historic landscape is vital in the world of planning, tourism, outreach and education.

The course involves a combination of academic study and field practice - survey and geophysics form a central theme, and we enjoy the support of Bartington Instruments Ltd for this.

This course is designed to appeal to those who already have experience of studying archaeology (or a closely-related subject) at undergraduate degree or diploma level and who wish to expand their academic, practical and professional skills in landscape archaeology. With a strong (but not exclusive) emphasis on the archaeology of Britain, it focuses on the applications of research methods in varying landscape situations. The course format is flexible and enables students to pursue their own research interests leading to a 15,000 word dissertation.

College affiliation

All students studying for a degree (including the DPhil) must be a member of a college. A number of Oxford colleges accept applications from part-time postgraduates whereas others do not: please consult the graduate prospectus or enquire with individual colleges. The majority of part-time DPhil students in Archaeology have chosen to apply to Kellogg College and most of the tutors and lecturers are members of the College. Kellogg is dedicated to graduate part-time students and has developed a unique expertise in attending to the intellectual, social, IT and welfare needs of part-time, mature graduate students. If a college choice is not specified on your application, it will be automatically sent to Kellogg if places are still available there.

Course structure

The course is divided into two one-year modules, Year A and Year B, which are run in alternate academic years (from October to September):

Year B begins in October 2015
Year A begins in October 2016

All students attend both modules, but they may be done in any order depending on year of admission. Because the course is modular there is no advantage to one combination over the other. Students normally study two consecutive modules and this is regarded as the best way to experience the course. However, in exceptional cases, regulations permit a student to intermit between modules (by permission of the Board of Studies only).

Both one-year modules have one core paper and two advanced papers spread over three terms.

Year A:

- Core Paper: Method and Theory in Landscape Archaeology
- Advanced Paper (Artefacts and Ecofacts in the Landscape)
- Advanced Paper (Archaeological Prospection)

Year B:
- Core Paper: Managing Historic Landscapes in the 21st Century
- Advanced Paper (Digital Landscapes)
- Advanced Paper (Reading the Historic Landscape)
- Field Training Week

Instead of one advanced paper, students may choose to opt for a ‘flexi-placement’ comprising at least 14 days spread over approximately one year to be spent working at an organisation which is involved in an aspect of landscape archaeology. The Course Director will supply details of these.

The dissertation (15,000 words) is the student’s own project which develops throughout the course and is submitted at the end of the second module. It can be based on a piece of fieldwork, or a methodological or artefactual study. Each student will be assigned a tutor who will supervise their dissertation. A dissertation workshop is held each year to help students work together on this essential course element.

In addition, once every two years (in late June - early July of Year B) a compulsory field survey training week will take place. Each student will also have a series of tutorials with the course director and tutors; these may take place in person or on-line.

Find out how to apply here - http://www.ox.ac.uk/admissions/graduate/courses/msc-applied-landscape-archaeology/

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