MATHEMATICAL AND COMPUTER SCIENCES

Transcription

1 POSTGRADUATE COURSES 2018 MATHEMATICAL AND COMPUTER SCIENCES 02 BIG DATA AND DIGITAL FUTURES 03 BIG DATA AND DIGITAL FUTURES PG Cert 04 BIG DATA AND DIGITAL FUTURES PG Dip 05 DIGITAL MEDIA AND CULTURE MA 06 URBAN INFORMATICS AND ANALYTICS 07 COMPUTER SCIENCE 08 DATA ANALYTICS 09 INTERDISCIPLINARY MATHEMATICS Diploma plus 11 MATHEMATICAL SCIENCES MASt 12 MATHEMATICS Diploma plus 13 MATHEMATICS 14 MATHEMATICS AND STATISTICS Leading to PhD 15 MATHEMATICS OF SYSTEMS leading to PhD 16 RESEARCH AREAS AND PHD 17 STATISTICS, PG Dip 18 CYBER SECURITY AND MANAGEMENT CYBER SECURITY ENGINEERING 10 INTERDISCIPLINARY MATHEMATICS (0)

2 Centre for Interdisciplinary Methodologies Big Data and Digital Futures 02 Entry Part-time 2:i undergraduate degree (or equivalent) in a relevant subject Band B 1 year 2 years Increasingly, big data are used to track and trace social trends and behaviours. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You will learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries. You ll take three core modules and a dissertation. Optional modules (see below) allow further specialisation. Lab work, report writing, data skills training and guest lectures by industry experts will form an integral part of your learning experience. You will be invited to attend short certified Masterclasses to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. forecasting; visualisation) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods. You don t need a computer science, mathematics or statistics background to apply. The focus is on conducting and understanding applied quantitative social science, so a willingness to engage with world social science issues is essential. Fundamentals in Quantitative Research Methods Advanced Quantitative Research Big Data Research: Hype or Revolution? Dissertation There are a number of bursaries and scholarships available to students. For 2017/18 entry these will include a variety of full tuition fee and maintenance bursaries, as well as contribution to tuition fees only scholarships. Up to date information on bursaries can be found on our funding pages: (0)

3 Centre for Interdisciplinary Methodologies Big Data and Digital Futures PG Cert 03 Entry Part-time 2:i undergraduate degree (or equivalent) in a relevant subject Band B 9 months 18 months Increasingly, big data is used to track and trace social trends and behaviours. In turn, governments, business and industries worldwide are rapidly recruiting graduates who can understand and analyse big data. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You ll learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries. You ll take three core modules. Lab work, report writing and data skills training will form an integral part of your learning experience. You ll be invited to attend optional short certified Masterclasses to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. forecastng; visualisation) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods. You don t need a computer science, mathematics or statistics background to apply. The focus is on skilling-up on key techniques intrinsic to applied quantitative social science. A willingness to engage with world social science issues is essential. Fundamentals in Quantitative Research Methods Advanced Quantitative Research Big Data Research: Hype or Revolution? Further information on funding is available here: (0)

4 Centre for Interdisciplinary Methodologies Big Data and Digital Futures PG Dip 04 Entry Part-time 2:i undergraduate degree (or equivalent) in a relevant subject Band B 1 year 2 years Increasingly, big data is used to track and trace social trends and behaviours. In turn, governments, business and industries worldwide are rapidly recruiting graduates who can understand and analyse big data. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You ll learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries. You ll take three core modules. Lab work, report writing and data skills training will form an integral part of your learning experience. You ll be invited to attend optional short certified Masterclasses to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. forecasting; visualisation) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods. You don t need a computer science, mathematics or statistics background to apply. The focus is on skilling-up on key techniques intrinsic to applied quantitative social science. A willingness to engage with world social science issues is essential. Fundamentals in Quantitative Research Methods Big Data Research: Hype or Revolution? Advanced Quantitative Research Further information on funding is available here: (0)

5 Centre for Interdisciplinary Methodologies Digital Media and Culture MA 05 Entry Part-time 2:i undergraduate degree (or equivalent) in a relevant subject Band B 1 year 2 years Digital processes are transforming culture, the economy and society. This course explores the origins and impact of these changes. It gives you the training to understand and make use of digital media critically, creatively and productively. If you re pursuing a professional career in knowledge-based industries, whether in museums, marketing agencies, businesses, charities, new-media production companies, public relations or think-tanks, this course is for you. It will equally qualify you with the academic skills for further doctoral study. You ll develop a critical and practice-based understanding of the impact of links, queries, downloads and uploads, file formats, archives, databases and networks more generally. Core modules introduce you to the conceptual and methodological dimensions of the digital realm. You then select two or three option modules in areas that cover the theoretical and socioeconomic aspects of digital culture, urban science, big data and complexity. A dissertation allows you to explore your own questions and interests in more depth. Approaches to the Digital Digital Objects, Digital Methods Dissertation Funding is available for Home/EU students and GREAT-India as a competitive bursary available to students applying from India. Further information on funding is available here: (0)

6 Centre for Interdisciplinary Methodologies Urban Informatics and Analytics 06 Entry Part-time 2:i undergraduate degree (or equivalent) in a relevant subject Band B 1 year 2 years For the first time in history, more than half of the world s population lives in urban areas - towns and cities that are increasingly connected and influenced by smart technologies. Urban Informatics and Analytics is an emerging interdisciplinary approach to addressing the urban challenges arising from these developments. Our unique develops the practical skills needed - such as data analytics and visualisation techniques - to tackle these challenges, combining practice with cutting-edge theoretical and methodological understanding of urban systems. Our course offers you: Deep understanding of urban science and digital cities Practical and analytical skills to explore, visualise and make sense of city-scale spatial data Interdisciplinary methodological skills to design solutions to the world s urban challenges - capitalising on emerging developments in big data analytics and digital technologies Urban Informatics and Analytics is taught by the Centre for Interdisciplinary Methodologies and the Department of Computer Science. Dissertation Spatial Methods and Practice in Urban Science Urban Data: Theory and Methodology Funding is available for Home/EU students and GREAT-India as a competitive bursary available to students applying from India. Further information on funding is available here: (0)

7 Computer Science Computer Science 07 Entry Optional Modules 2:ii undergraduate degree (or equivalent) in a related subject Band A 1 year Our course is designed for technically minded graduates with a background in computer science, mathematics or the physical sciences. The course provides a comprehensive preparation for the use of cutting-edge techniques in industry, though its research focus also makes it an excellent starting point for research, through PhD study or in a commercial setting. Dissertation Project Research Methods Foundations of Computing Optional modules to be taught in include: High Performance Computing Algorithmic Game Theory Formal Systems Development Image and Video Analysis Computational Biology Data Mining Foundations of Data Analytics Sensor Networks and Mobile Data Comms Advanced Computer Security Social Informatics Natural Language Processing (0)

8 Computer Science Data Analytics 08 Entry Optional Modules 2:ii undergraduate degree (or equivalent) in a related subject Band A 1 year Our course is designed for technically minded graduates with a background in computer science, mathematics or the physical sciences. The course provides a distinctive perspective on data analytics that combines aspects of computer science, business, engineering and mathematics. Alongside the technical skills and expertise the course develops, this means that our graduates are able to pursue opportunities at the forefront of an emerging discipline that will continue to revolutionise science and industry for years to come. Research Methods Data Mining Foundations of Data Analytics Dissertation Project in Data Analytics Foundations of Computing Optional modules to be taught in include: High Performance Computing Algorithmic Game Theory Image and Video Analysis Sensor Networks and Mobile Data Communications Advanced Computer Security Social Informatics Natural Language Processing (0)

9 Mathematics Institute Interdisciplinary Mathematics Diploma plus 09 Entry First Class Honours degree (or equivalent) in a related subject Band A 2 years Do you aspire to become a professional scientist? If so, this course is designed with you in mind. It s suitable if you re a mathematics graduate wishing to progress to PhD level studies in one of the sciences, or a science graduate wishing to undertake a PhD in Mathematics. Equally, the course may be of interest if you have a reasonable mathematical background, and wish to learn about the interactions between sciences and mathematics. The programme encompasses a breadth of pure and applied mathematics, and statistics. As an interdisciplinary student, you ll also have the option to take modules in related sciences and social sciences, including physics, biology and economics. Project (Year 1) Dissertation (Year 2) (0)

10 Mathematics Institute Interdisciplinary Mathematics 10 Entry First Class Honours degree (or equivalent) in a related subject Band A 1 year Do you aspire to become a professional scientist? If so, this course is designed with you in mind. It s suitable if you re a mathematics graduate wishing to progress to PhD level studies in one of the sciences, or a science graduate wishing to undertake a PhD in Mathematics. Equally, the course may be of interest if you have a reasonable mathematical background, and wish to learn about the interactions between sciences and mathematics. The programme encompasses a breadth of pure and applied mathematics, and statistics. As an interdisciplinary student, you ll also have the option to take modules in related sciences and social sciences, including physics, biology and economics. Core Module Dissertation (0)

11 Mathematics Institute Mathematical Sciences MASt 11 Entry First Class Honours degree (or equivalent) in a related subject Band A 9 months This course will enable you to broaden your mathematical knowledge and provides the ideal preparation for further academic research. The course offers a wide choice of advanced modules, with options in physics and statistics as well as mathematics. Warwick s reputation for research attracts academics with a passion for their subject and many of these academics will be actively involved in teaching you, giving you access to the most up-to-date subject knowledge. You will take an active part in your own learning, working on your own research project under the direction of a lecturer. The high level skills that you will gain from this MASt mean that the course provides a strong foundation for a research degree (0)

12 Mathematics Institute Mathematics Diploma plus 12 Entry First Class Honours degree (or equivalent) in a related subject Band A 2 years If you see yourself as a research mathematician of the future, this course could appeal to you. For enthusiastic mathematicians, it s a chance to further develop your knowledge if you already have an undergraduate mathematics, physics or statistics degree. If your academic background is not in these areas, this course could still appeal if you re a strong mathematician looking for a return to formal education. Your studies will include a mix of lecture-based modules and independent research. In your final year, you ll be able to explore a chosen subject in depth and present your findings in a written dissertation. Project (Year 1) Dissertation (Year 2) (0)

13 Mathematics Institute Mathematics 13 Entry First Class Honours degree (or equivalent) in a related subject Band A 1 year If you see yourself as a research mathematician of the future, this course could appeal to you. For enthusiastic mathematicians, it s a chance to further develop your knowledge if you already have an undergraduate mathematics, physics or statistics degree. If your academic background is not in these areas, this course could still appeal if you re a strong mathematician looking for a return to formal education. Your studies will include a mix of lecture-based modules and independent research. In your final year, you ll be able to explore a chosen subject in depth and present your findings in a written dissertation. Core Module Dissertation (0)

14 Mathematics Institute Mathematics and Statistics Leading to PhD 14 Entry First Class Honours degree (or equivalent) in a related subject Band A 4 years With independent research on topics in mathematics and statistics, the MASDOC doctoral training programme spans four years and comprises an innovative taught-course component and PhD research of the highest standard. The offers you a broad base of tools to embark on your research project via both taught and research training components. You ll benefit from close contact with world-class researchers right from the start, helping you to make informed decisions on future research topics and supervisors for your PhD. You ll focus on research areas including Analysis, Applied Mathematics, Numerical Analysis, Probability and Statistics, but the entire programme is very flexible and you can specialise in different themes and techniques. Our graduates are highly valued by employers in industry, business or government organisations, and in laboratories where high-level mathematical modelling and analysis are essential tools. You ll also be well-positioned to embark on an academic career. Research Study Groups Summer Research Project (0)

15 Mathematics Institute Mathematics of Systems leading to PhD 15 Entry Part-time 2:i undergraduate degree (or equivalent) in a related subject Band A 4 years Up to 7 years Would you like to learn how to use novel mathematics to tackle real-world problems? This and PhD-combined course bridges three key areas: Complexity Science; Systems Biology and Infectious Disease Epidemiology Research. The taught element of the course will equip you with the necessary skills required for the PhD, during which you can work on specialist mathematical solutions to global challenges. You ll have the opportunity to identify real-world systems and explore how they can benefit from mathematical techniques. As your studies progress, you ll become open to new ways of thinking, combining cutting-edge mathematical skills with the ability to understand and model real-world systems. You ll also learn how to analyse complex data sets, work well in multidisciplinary teams and become an effective communicator. Throughout the course, you ll benefit from the first-hand expertise of our collaborative partners from industry, finance and health. As a result, you ll graduate with excellent employment prospects and the relevant experience to work at the forefront of academic and industrial research. Applications for only are welcomed but there is no Research Council funding available for this option so applicants would need to source their own funding. Optional Modules Data Analysis Mathematics of Systems - Project Mathematics of Real World Systems - Research Study Groups Networks and Random Processes Numerical Methods Applied Dynamical Systems We have a range of optional modules for you to choose from which can be found on our website at (0)

16 Mathematics Institute Research areas and PhD 16 We offer a range of areas for PhD supervision which can be found on our website: We offer the following Postgraduate Research Degrees: PhD in Interdisciplinary Mathematics PhD in Mathematics PhD in Mathematics and Statistics PhD in Mathematics of Systems (0)

17 Statistics Statistics, PG Dip 17 Entry 2:i undergraduate degree (or equivalent) in a related subject IELTS 6.5 (with 6.5 in all) 1 year Providing a thorough grounding in statistical theory and techniques, the course offers a launching pad for a professional career involving statistics, or a prelude to a research degree (PhD). You ll receive practical and theoretical training in two core courses (Statistical Methods and Introduction to Statistical Practice), which is then applied in six modules of your choice. Teaching at Master s level places greater emphasis on practical work than at undergraduate level this includes coursework reports and learning state-of-the-art specialised research subfields. After completing successfully the taught portion of the course, you will then continue for a further 10 weeks to put your knowledge into practice in the dissertation. The dissertation you will produce at the end of the course is supervised by members of our academic staff and gives you the opportunity to engage with research relevant to statistical work in both academia and industry. Core Module Statistical Methods An Introduction to Statistical Practice (0)

18 WMG 18 Cyber Security and Management Cyber Security Engineering Entry Part-time Second Class Honours degree (or equivalent) in a related subject Band A 1 year 3 years Our world is increasingly shaped by cyberspace, a vast network of digital devices which store, modify and transfer information. Vehicles, architectural infrastructure, industrial controls, finance flows and medical devices all operate across the cyber domain. Its influence continues to grow, as does the associated security risk. These courses will deepen your cyberspace knowledge, as you ll understand the nature of this evolving cyber environment and how to protect and enhance the human experience within it. The courses boast extensive support from industry experts with regular guest lectures from companies such as IBM, Nettitude, HP, Kaspersky, PwC, and UK Law enforcement and government agencies. Security Architectures and Network Defence Cryptosystems and Data Protection Information Risk Management and Governance Industrial Espionage and Counterfeiting Digital Forensics Cyber Intelligence and Operations * Cyber-physical Systems * Enterprise Cyber Security * *core for Cyber Security Engineering Optional Modules NB: for Cyber Security and Management only Cyber Intelligence and Operations Cyber-physical Systems Enterprise Cyber Security Globalisation and Outsourcing Financial Analysis and Control Systems Leadership Organisations, People and Performance WMG Excellence Scholarship: 25-15% tuition fee discount (0)

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20 ENGLISH LANGUAGE REQUIREMENT BANDS Banding IELTS TOEFL (ibt) Pearson (Academic) Band A Overall score of 6.5, minimum component scores of none below 6.0 Band B Overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above Band C Overall score of 7.5, minimum component scores of two at 6.5/7.0 and the rest at 7.5 or above Band D Overall score of 8.0, minimum component scores of two at 7.0/7.5 and the rest at 8.0 or above Overall score of 92, minimum component scores of Reading 22, Listening 21, Speaking 23, Writing 21 Overall score of 100, minimum component scores of Reading 22, Listening 21, Speaking 23, Writing 21 Overall score of 108, with all minimum component scores at 23 or above Overall score of 113, with all minimum component scores at 25 or above 62, including 51 + in all components 70, including 51 + in all components 75, including 59 + in all components 79, including 70 + in all components For all accepted Tests, please visit: This course information was accurate at the time of printing. Our course and module content and schedule is continually reviewed and updated to reflect the latest research expertise at Warwick, so it is therefore very important that you check the website for the latest information before you apply and when you accept an offer (0)