EPSRC and MRC Centre for Doctoral Training in Next Generation Statistical Science: The Oxford-Warwick Statistics Programme.

牛津-华威统计方案将为至少50名毕业生提供21世纪数据密集型环境和大规模模型统计科学的理论、方法和应用方面的培训。这是由牛津大学和华威大学统计部门牵头的联合项目。这两个系在上一次英国研究评估中分别位居世界领先研究的第一和第二位，可以为博士生提供一个极好的激励培养环境。该中心的管理人员以在现代计算统计和相关领域的重大国际研究贡献而闻名，自2008年以来，这些贡献得到了20多个主要国家和国际奖项的认可。牛津大学和华威大学以竞争激烈的国际奖学金吸引学生。项目负责人预计，通过将这些学生纳入CDT，并利用来自行业的GB 188K支持和来自捐赠者的GB 150K支持，将他们的资金提高到CDT水平，将队列扩大到每年11或12人。在基因组学和脑成像技术等领域，参与大规模高度结构化统计模型的必要性已经被认识到一段时间。然而，英国的领先行业和科学界现在也越来越意识到数据驱动分析所具有的巨大潜力。这些行业包括工程、制造、制药、金融、电子商务、生命科学和娱乐行业。分析瓶颈已经从能够收集和记录相关数据转变为能够解释和利用海量数据集合。这些企业和其他企业严重依赖于未来的统计领导者的可用性，他们能够设计和开发可扩展到海量数据的统计方法。英国可以在这一领域处于世界领先地位，成为公认的国际统计领导者；OxWaSP处于实现这一机会潜力的理想位置。该中心的重点是为新型研究生统计师提供可适用于大数据的统计方法和计算方面的新型培训。我们将通过直接从科学文献中进行教学，将新的重点放在研究培训上。学生将被直接投入到阅读和总结期刊论文中。授课形式的接触使用较少，而点对点学习是培训方法的核心。这就是通过做研究来教与学。将通过集体访问公司、小组复制关键论文的结果、以学生为导向的论文讨论、年度研讨会和为期三天的场外务虚会来加强队列学习。从第二年开始，学生们将加入他们在华威和牛津挑选的导师，每个中心有五个人定期聚集在一起，参加与牛津和华威重叠的研究小组会议，参加研讨会和务虚会，以及早年对学生的教学和指导。该中心是及时和雄心勃勃的，旨在吸引和培养最聪明的毕业生统计学家，拓宽他们的技能，以迎接新的挑战，并使他们能够在集中、共同的研究-培训环境中蓬勃发展。战略愿景是培养下一代统计学家，他们将使新的数据密集型科学和行业成为可能。该中心将提供一个工具，将来自两个部门的工业合作伙伴聚集在一起，分享想法，并为我们的学生提供一个重要的视角，让他们了解商业和社会企业内部的研究挑战和机会。通过中心的访问、讲座、实习和全球合作伙伴的共同监督，包括亚马逊、谷歌、葛兰素史克、MAN和诺华，以及较小的创业初创公司DeepMind和Optimor，将大大加强对学生的培训。

The Oxford-Warwick Statistics Programme will train a new cohort of at least 50 graduates in the theory, methods and applications of Statistical Science for 21st Century data-intensive environments and large-scale models. This is joint project lead by the Statistics Departments of Oxford and Warwick. These two departments, ranked first and second for world leading research in the last UK research assessment exercise, can provide a wonderful stimulating training environment for doctoral students in statistics. The Centre's pool of supervisors are known for significant international research contributions in modern computational statistics and related fields, contributions recognised by over 20 major National and International Awards since 2008. Oxford and Warwick attract students with competitively won international scholarships. The programme leaders expect to expand the cohort to 11 or 12 per year by bringing these students into the CDT, and raising their funding up to CDT-level using £188K in support from industry and £150K support from donors.The need to engage in large-scale highly structured statistical models has been recognized for some time within areas like genomics and brain-imaging technologies. However, the UK's leading industries and sciences are now also increasingly aware of the enormous potential that data-driven analysis holds. These industries include the engineering, manufacturing, pharmaceutical, financial, e-commerce, life-science and entertainment sectors. The analysis bottleneck has moved from being able to collect and record relevant data to being able to interpret and exploit vast data collections. These and other businesses are critically dependent on the availability of future leaders in Statistics, able to design and develop statistical approaches that are scalable to massive data. The UK can take a world lead in this field, being a recognized international leader in Statistics; and OxWaSP is ideally placed to realize the potential of this opportunity. The Centre is focused on a new type of training for a new type of graduate statistician in statistical methodology and computation that is scalable to big data. We will bring a new focus on training for research, by teaching directly from the scientific literature. Students will be thrown straight into reading and summarizing journal papers. Lecture-format contact is used sparingly with peer-to-peer learning central to the training approach. This is teaching and learning for research by doing research. Cohort learning will be enhanced via group visits to companies, small groups reproducing results from key papers, student-orientated paper discussions, annual workshops and a three-day off-site retreat. From the second year the students will join their chosen supervisors in Warwick and Oxford, five in each Centre coming together regularly for research group meetings that overlap Oxford and Warwick, for workshops and retreats, and teaching and mentoring of students in earlier years. The Centre is timely and ambitious, designed to attract and nurture the brightest graduate statisticians, broadening their skills to meet the new challenge and allowing them to flourish in a focused, communal, research-training environment. The strategic vision is to train the next generation of statisticians who will enable the new data-intensive sciences and industries. The Centre will offer a vehicle to bring together industrial partners from across the two departments to share ideas and provide an important perspective to our students on the research challenges and opportunities within commercial and social enterprises. Student's training will be considerably enhanced through the Centre's visits, lectures, internships and co-supervision from global partners including Amazon, Google, GlaxoSmithKline, MAN and Novartis, as well as smaller entrepreneurial start-ups Deepmind and Optimor.