مرتب سازی بر اساس:
مرتب سازی بر اساس
علوم کامپیوتر
Information, Communication and the Social Sciences DPhil

دانشگاه اکسفورد

The DPhil (doctoral) programme in Information, Communication and the Social Sciences provides an opportunity for highly-qualified students to undertake cutting edge multidisciplinary Internet-related research. The multidisciplinary research OII's students undertake ranges across the social sciences, with most projects falling into the following broad themes: digital knowledge and culture; digital politics and government; education, wellbeing and digital life; ethics and philosophy of information; information geography and inequality; information governance and security; Internet economics; social data science. Over the course of this three- to four-year programme, you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Internet research. Employers recognize the value of a degree from the University of Oxford, and the OII's doctoral students regularly go on to secure excellent positions in academia, industry, government, and NGOs. Alumni who have pursued academic careers have taken up research and teaching positions at Cornell University, University of Hong Kong, Imperial College London, Durham University, University of New South Wales, Coventry University, University of Leicester, University of Ottawa, and Michigan State University. OII DPhil alumni also work in wide-range of organizations including The World Bank, Oxfam, Cisco, McKinsey and Google. ...
دوره دکتری 3 سال
سلامت و پزشکی
Health Data Science (EPSRC CDT)

دانشگاه اکسفورد

The Oxford EPSRC CDT in Health Data Science offers opportunities for doctoral study in computational statistics, machine learning and data engineering within the context of ethically-responsible health research. Each student will benefit from dual supervision for the duration of their research project, with at least one of the two supervisors having a strong background in core data science. Many students will wish to pursue a project in collaboration with a partner organisation: a technology company such as Elsevier, NVIDIA or Sensyne Health; a pharmaceutical company such as GSK or Novartis; or a research organisation such as the Blockchain Research Institute or the Cancer Research UK Oxford Centre. This is a new course and there are no alumni yet. It is expected that graduates will be well placed to take on leading roles in industry, academia and the public sector. ...
علوم کامپیوتر
Computer Science MComp

دانشگاه اکسفورد

Computer science is about understanding computer systems and networks at a deep level. Computers and the programs they run are among the most complex products ever created; designing and using them effectively presents immense challenges. Facing these challenges is the aim of computer science as a practical discipline, and this leads to some fundamental questions: How can we capture in a precise way what we want a computer system to do? Can we mathematically prove that a computer system does what we want it to? How can computers help us to model and investigate complex systems like the Earth’s climate, financial systems or our own bodies? What are the limits to computing? Will quantum computers extend those limits? The theories that are now emerging to answer these kinds of questions can be immediately applied to design new computers, programs, networks and systems that are transforming science, business, culture and all other aspects of life. For more information on this course please visit ox.ac.uk/ugcs. ...
دوره های کارشناسی 3 - 4 سال
علوم کامپیوتر
Computer Science and Philosophy MComp

دانشگاه اکسفورد

Artificial intelligence (AI), logic, robotics, virtual reality: fascinating areas where computer science and philosophy meet. The two disciplines share a broad focus on the representation of information and rational inference, embracing common interests in algorithms, cognition, intelligence, language, models, proof and verification. Computer scientists need to be able to reflect critically and philosophically as they push forward into novel domains, while philosophers need to understand a world increasingly shaped by technology in which a whole new range of enquiry has opened up, from the philosophy of AI to the ethics of privacy and intellectual property. For more information on this course please visit ox.ac.uk/ugcsp. ...
دوره های کارشناسی 3 - 4 سال
علوم کامپیوتر
Social Data Science MSc

دانشگاه اکسفورد

The multidisciplinary MSc in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our understanding of the human world. Social data generated digitally (from, for example, social media, communications platforms, Internet of Things [IoT] devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics. The growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre. Employers recognise the value of a degree from the University of Oxford, and graduates from our existing programmes have secured excellent positions in industry, government, NGOs, or have gone on to pursue doctoral studies at top universities. For example, non-academic destinations of recent graduates have included large Internet companies such as Google or Facebook, smaller start-ups like , as well as regulatory positions and consultancy. MSc alumni have progressed to further graduate study at institutions such as Oxford, Harvard, Princeton and LSE. ...
دوره کارشناسی ارشد 10 months
علوم کامپیوتر
Social Data Science DPhil

دانشگاه اکسفورد

The multidisciplinary DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. Social data generated digitally (from, for example, social media, communications platforms, Internet of Things (IoT) devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics. The growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre.Employers recognise the value of a degree from the University of Oxford, and graduates from our existing programmes have secured excellent positions in industry, government, NGOs, or have gone on to pursue doctoral studies at top universities. For example, non-academic destinations of recent graduates have included large Internet companies such as Google or Facebook, smaller start-ups like Academia.edu, as well as regulatory positions and consultancy. ...
علوم کامپیوتر
Modern Statistics and Statistical Machine Learning (EPSRC CDT) DPhil

دانشگاه اکسفورد

The Modern Statistics and Statistical Machine Learning CDT is a four-year DPhil research programme (or eight years if studying part-time). It will train the next generation of researchers in statistics and statistical machine learning, who will develop widely-applicable novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry and science. This is the Oxford component of StatML, an EPSRC Centre for Doctoral Training in Modern Statistics and Statistical Machine Learning, co-hosted by Imperial College London and the University of Oxford. The CDT will provide students with training in both cutting-edge research methodologies and the development of business and transferable skills – essential elements required by employers in industry and business. Each student will undertake a significant, challenging and original research project, leading to the award of a DPhil. Given the breadth and depth of the research teams at Imperial College and at the University of Oxford, the proposed projects will range from theoretical to computational and applied aspects of statistics and machine learning, with a large number of projects involving strong methodological/theoretical developments together with a challenging real problem. A significant number of projects will be co-supervised with industry. This is a new course and there are no alumni yet. StatML is dedicated to providing the organisation, environment and personnel needed to develop the future industrial and academic individuals doing world-leading research in statistics for modern day science, engineering and commerce, all exemplified by ‘big data’. ...
دوره دکتری 4 سال
علوم کامپیوتر
Mathematics of Random Systems: Analysis, Models and Algorithms (EPSRC CDT) Doctoral Programme

دانشگاه اکسفورد

The Mathematics of Random Systems CDT offers a comprehensive four-year doctoral training course in stochastic analysis, probability theory, stochastic modelling, computational methods and applications arising in physics, quantitative finance, biology, healthcare and data science. It provides solid training in core skills related to probability theory, stochastic modelling, data analysis, stochastic simulation, optimal control and probabilistic algorithms. The Centre for Doctoral Training (CDT) in Mathematics of Random Systems is a four-year doctoral programme that offers academically outstanding students training in the areas of probabilistic modelling and stochastic analysis at Imperial and Oxford. This is a new programme and there are no alumni yet. The CDT in Mathematics of Random Systems will aim to provide postdoctoral research opportunities in the UK and abroad through the CDT's international network of academic partners, and by providing industry placement opportunities through our numerous industry partners. ...
علوم کامپیوتر
Mathematics and the Foundations of Computer Science MSc

دانشگاه اکسفورد

The MSc in Mathematics and Foundations of Computer Science, run jointly by the Mathematics 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, 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. 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. Graduates pursue careers in research into mathematics and/or computer science or industry. ...
دوره کارشناسی ارشد 1 سال
علوم کامپیوتر
Mathematical Modelling and Scientific Computing MSc

دانشگاه اکسفورد

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. The course consists of both taught courses and a dissertation. To complete the course you must complete 13 units. Each course is assessed by written examination in Week 0 of the following term. The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. ...
دوره کارشناسی ارشد 1 سال
علوم کامپیوتر
Mathematical and Computational Finance MSc

دانشگاه اکسفورد

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. 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. ...
دوره کارشناسی ارشد 10 months
علوم کامپیوتر
Computer Science MSc

دانشگاه اکسفورد

The MSc in Computer Science at Oxford has been designed to teach a range of advanced topics and a carefully selected core of foundational subjects to graduates of computer science and other numerate disciplines. The course aims to provide the foundation for a professional career in the computing-based industries, including telecommunications, process control, business-, mission-, and safety-critical fields; to enhance the skills of a professional who is already working in one of these industries; to provide a foundation for research into the theory and practice of programming and the design of computer-based systems; to present knowledge, experience, reasoning methods and design and implementation techniques that are robust and forward-looking. You will develop knowledge and understanding of a formal disciplined approach to computer science, a range of relevant concepts, tools and techniques, the principles underpinning these techniques and the ability to apply them in novel situations. On subsequent employment, you will be able to select techniques most appropriate to your working environment, adapt and improve them as necessary, establish appropriate design standards for hardware and software, train colleagues and subordinates in the observance of sound practices, and keep abreast of research and development. ...
دوره کارشناسی ارشد 1 سال
علوم کامپیوتر
Computer Science DPhil

دانشگاه اکسفورد

The DPhil in Computer Science is an advanced research degree, awarded for significant (new) contribution to the existing body of knowledge in the field of computer science. You will work with world-class experts in their field. The DPhil normally takes three to four years of full-time study to complete. The DPhil in Computer Science will introduce you to cutting edge research whilst studying in a beautiful, historic setting that is both student- and family-friendly. Supervision is available via the department's research themes together with cross-disciplinary research in areas such as linguistics, biology, medicine, quantum foundations and quantum computation. The course combines individual supervision with a selection of lecture courses, transferable skills training and opportunities to participate in leading-edge research activities. The work is assessed either by the supervisor or the examiner for a taught course. You are also expected to complete a literature review which should survey the state of the art in your chosen area. It should explain the background of the proposed research, the results that have been obtained by other researchers, and the conclusions that may be drawn. You are expected to give a clear and coherent account, demonstrating competence in organising ideas and presenting them in a scholarly manner. On completion of the course you will graduate with the degree of Doctor of Philosophy. Most DPhil students pursue a career in academia moving on to becoming post-doctoral research assistants and moving on to university lecturers and professors. A few students do join industry or return to a military career. ...
دوره دکتری 3 سالCourse fees are payable each سال, for the duration of your fee liability your fee liability is the length of time for which you are required to pay course fees. For courses lasting longer than one سال, please be aware that fees will usually increase annually. This is a fixed fee
علوم کامپیوتر
Autonomous Intelligent Machines and Systems DPhil

دانشگاه اکسفورد

The DPhil offered by the CDT provides graduates with the opportunity to develop in-depth knowledge, understanding and expertise in autonomous intelligent systems. The programme provides a comprehensive, state-of-the-art view of autonomous intelligent systems, combining theoretical foundations, systems research, academic training and industry-initiated projects and thus mixing both practical and theoretical aspects of intelligent machines and systems. The development of a positive group dynamic within and between year groups in the CDT and the progressive increase of responsibility and external exposure, equips graduates from the AIMS CDT for leadership roles in industry both nationally and internationally. It is anticipated that others will continue to spend time in postdoctoral research, probably developing the work in their theses towards product. ...
دوره کارشناسی ارشد 4 سالCourse fees are payable each سال, for the duration of your fee liability your fee liability is the length of time for which you are required to pay course fees. For courses lasting longer than one سال, please be aware that fees will usually increase annually. This is a fixed fee
مشاوره رایگان