How to Survive Your PhD
About this course
You need to be smart to begin a PhD - but you need to be resilient to finish one. Between one-quarter and one-third of all research students never finish their degree. The PhD is an emotional journey as much as it is an intellectual one.
What kinds of emotions does the research degree process provoke? What strategies can help students deal with the emotional highs and lows? How can academic advisors, family and friends help research students cope with these stresses - and celebrate the successes?
This course is primarily designed for masters, PhD, and research students and the academics who are tasked with helping them, but you may also be a family member or friend of a PhD student who is seeking to better understand what your loved one is going through.
By directly addressing the emotional issues, and by helping us see the connections between emotional resilience and success, this course aims to help us all create a more supportive academic environment, where students can do their best research work.
At a glance
- Institution: ANUx
- Subject: Communication
- Level: Advanced
- Familiarity with the basic concept of research study (such as Honours, Masters, or PhD processes).
- Some insider knowledge of academic life and tertiary education is advantageous, but not essential.
- Language: English
- Video Transcript: English
What you'll learn
- Understand the common emotional experiences of research students and why they tend to have emotional issues in common.
- Discuss and create strategies and approaches to help research students cope with the emotional challenges of research study.
- Help academics and prospective academics become more effective research supervisors.
Week one: Setting the scene Prior research on research student success and failure shows that there are a range of common factors at play. We examine these factors and start to look at the causes. Week Two: A quick history of the doctorate To better understand how and research degree study can be so difficult we will take a brief tour back to the late middle ages and the birth of the university - as a place and an idea. Week Three: Confidence We take a look at confidence, in particular why some students have very little. We’ll explore the imposter syndrome and how we might counter it and then have a look at the risks of over confidence. Week Four: Frustration This week we look at frustration. Research can be very frustrating, but writing is perhaps the site of most of the frustration that students feel. We explore the nature of this frustration and how supervisors can make it better - or worse. Week Five: Loneliness Loneliness and isolation seems to be a common problem for research students - but how does it happen? We look at the difference between social isolation and intellectual isolation. We tackle the difficult problem of how much help a supervisor should really give a student. Week Six: Fear Research students are high achievers who often have an intense fear of failure. We look at two fears in particular - fear of writing and fear of speaking in public. Week Seven: Curiosity Good researchers are curious creatures! Curiosity is crucial to research, but what happens when curiosity gets out of control? This week we focus on the literature review as a site where curiosity can get out of control. Week Eight: Confusion Confusion is an inevitable part of the research degree process - but do research students get confused about the same sorts of things? Week Nine: Boredom A research degree usually involves a big project that takes place over an extended period of time. It’s inevitable that some students will get bored. But boredom is much more interesting than you might think! Week Ten: Love Do researchers always love their work? What about love for your supervisor - is that appropriate? If you truly love your discipline, how should you behave as a researcher? This week we look at Love - and it’s complicated.
About the instructors
Interested in this course for your business or team.
Statistical Science MPhil/PhD
The automation of manufacturing and service sectors is facilitated by advances in computing; however, this transition towards data-driven decision making requires more sophisticated use of statistics. Analysing larger volumes of data creates both challenges that can be addressed by existing statistical methods and also opportunities for the development of novel algorithms.
UK tuition fees (2023/24)
Overseas tuition fees (2023/24), programme starts, applications accepted.
- Entry requirements
A minimum of an upper second-class UK Bachelor's degree, or a UK Master's degree in statistics, mathematics, computer science or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.
The English language level for this programme is: Level 1
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website .
International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.
About this degree
The demand for numerate graduates exceeds the supply in most areas. Many new and existing opportunities in industry, medicine, government, commerce, or research await science graduates who have supplemented their first degree with additional training in quantitative skills, such as those provided by the postgraduate programmes available within the Department of Statistical Science.
Who this course is for
This programme is best suited to those aiming for a research degree and/or an academic career in Statistics, Data Science and other related fields.
What this course will give you
While the department offers world-class expertise along with strong links to practitioners, its position within UCL provides breadth. Besides ties to other mathematical sciences, the department collaborates with researchers in engineering, management, and medicine. The opportunity to engage with leading researchers across disciplines while accessing London-based government and industry figures gives UCL students a distinct advantage.
More intangibly, by being in a truly multidisciplinary environment, UCL students gain an appreciation for knowledge and its societal impact. This leads not only to new insights but also to a readiness to critique the established order, which is both intellectually and personally fulfilling.
The foundation of your career
Graduates of the PhD programme are well placed to continue as researchers in both academia and the private sector. In particular, greater data collection has created a demand for enhanced methodologies for analysis, which is a strength of most recent graduates.
The department has strong connections with a number of inter-disciplinary research organisations (for example the UCL Centre for Computational Statistics and Machine Learning (CSML), the UCL Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), the Centre for Doctoral Training in Financial Computing & Data Science, the UCL Energy Institute, and the Alan Turing Institute). Staff members also collaborate directly with hospitals, power companies, government regulators, and the financial sector. Consequently, research students have ample opportunity to engage with external institutions in order to frame their work.
Teaching and learning
Research areas and structure.
The department’s methodological research is organised into six themes:
- Computational statistics
- Economics, finance and business
- General theory and methodology
- Multivariate and high dimensional data
- Stochastic modelling and time series
Research often cuts across these themes. For example, externally funded projects in the following application areas are in progress:
- Cognitive neuroscience
- Econometrics and finance
- Environmetrics and hydrology
- Machine learning
- Population and systems biology
- Statistical imaging
Much of this work is interdisciplinary and involves collaborations within and outside UCL.
The Department of Statistical Science has played a major role in the development of the subject since its foundation in 1911 as the first department of statistics in the world, with Karl Pearson as its head. Since then, many famous names in statistics have been associated with the department, including Egon Pearson, R. A. Fisher and Jerzy Neyman. Today the Department is among the three largest statistics groups in the UK with more than 30 academic members of staff and a research grant income of over seven million pounds.
A particular feature of Statistical Science is its applicability to practical problems. This is reflected in the wide range of current application areas, including cognitive neuroscience, ecology, econometrics, finance, epidemiology, environmetrics, machine learning, population and systems biology, statistical imaging, energy economics. Much of this work is interdisciplinary, involving collaborations within and outside UCL. You will have the opportunity to present your research at external conferences and our student-run departmental PhD conference and can gain valuable experience by teaching on our taught course programmes.
The department has strong connections with inter-disciplinary research organisations, such as the UCL Centre for Mathematics and Physics in the Life Sciences and Experimental Biology (CoMPLEX), the Centre for Doctoral Training in Financial Computing & Data Science, the UCL Energy Institute and the Alan Turing Institute. Staff members also collaborate directly with hospitals, power companies, government regulators, and the financial sector.
You are initially registered for the MPhil degree. No sooner than nine months after registration, you are transferred to the PhD degree with retrospective effect if you show a capacity for original work. This will require the preparation of a substantial upgrade report describing the existing work in the area of investigation, giving details of the original work that you have performed so far, and setting out a plan for the remaining period of your research. It will also involve a viva.
The typical length of the PhD programme is three years for full-time students and five years for part-time students; an MPhil might be achievable in less. If you are not ready to submit at the end of the third year, you may be able to register as a completing research student (CRS) while you write up your thesis.
The MPhil/PhD has no required curriculum. However, you are expected to agree on a customised programme of study with your supervisor, which may involve specialisation courses (either at UCL or externally, for example, at the London Taught Course Centre or Academy for PhD Training in Statistics) or independent reading. Attendance at research seminars is encouraged, and after you have been upgraded to PhD status you are required to present your research in a seminar stream dedicated to this purpose. Finally, the UCL Doctoral School has its own requirements for training courses. In particular, you are required to attend Research Integrity Training.
Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk . Further information can also be obtained from the UCL Student Support & Wellbeing team .
Fees and funding
Fees for this course.
The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Where the programme is offered on a flexible/modular basis, fees are charged pro-rata to the appropriate full-time Master's fee taken in an academic session. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees .
T here are no programme-specific costs.
For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs .
Funding your studies
Research Council funding may be available for UK and Overseas nationals. Other funding opportunities may also be available. For details visit www.ucl.ac.uk/statistics/prospective-postgraduates/studentships
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website .
CSC-UCL Joint Research Scholarship
Value: Fees, maintenance and travel (Duration of programme) Criteria Based on academic merit Eligibility: EU, Overseas
Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit to see if you need to consider these in your application preparation. In most cases you should identify and contact potential supervisors before making your application. For more information see our How to apply page.
Please note that you may submit applications for a maximum of two graduate programmes (or one application for the Law LLM) in any application cycle.
Choose your programme
Please read the Application Guidance before proceeding with your application.
Year of entry: 2023-2024
Year of entry: 2022-2023, got questions get in touch.
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University College London
MPhil/PhD MSci Statistical Science
1 in 2 applicants to this programme received an offer.
Data shown above is for entry in academic year 2020/21 (sources) .
Why are there inexact numbers? For data protection reasons, when the number of applications, offers, or admissions is low for a given course (or in some cases, regardless of the numbers), some universities report only approximate numbers. Based on these, we have computed the range of possible values.
- FOI Request by Albert Warren.
- FOI Request by Mr Burano. September 2015.
- FOI Request by John Kay. February 2019.
- FOI Request by KAI CHEN. January 2020.
- FOI Request by Marlon Clarke. May 2020.
The acceptance rate , or offer rate, represents the fraction of applicants who received an offer. Note that this will be generally lower the acceptances rates (acceptances divided by applicants) published by many other sources. This article explains it in more detail. The acceptances generally indicate the number of offer holders who accepted the offer and fulfilled its conditions. For some universities, however, it denotes the number of applicants who accepted the offer, regardless of whether they subsequently met its conditions.
Unless otherwise noted, the data presented comes from the universities and is generally reliable. However, some of the differences between years and/or courses may be due to different counting methodologies or data gathering errors. This may especially be the case if there is a sharp difference from year to year. If the data does not look right, click the "Report" button located near the top of the page.
22 Statistics-PhD "UCL " positions
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at least a PhD (or equivalent experience) in epidemiology, statistics , or a related discipline. You will have outstanding longitudinal data analysis and data management skills and be confident using
Three Bloomsbury Colleges PhD Studentships at UCL / Birkbeck / LSHTM
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and inferential statistical analysis, and potentially using more advanced quantitative techniques, as appropriate to the research questions. During their PhD , the student will be expected to spend
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, psychology, public policy, statistics and medical sciences. Further information about the School can be found here . About the role University College London’s ( UCL ) School of Management seeks to appoint a
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Statistical Science MPhil/PhD
Ucl bloomsbury, london, united kingdom, # 27 qs subject rankings, 36 months program duration, $23420 /year tuition fee(gbp), yes scholarships, program overview, main subject.
Statistics and Operational Research
The automation of manufacturing and service sectors is facilitated by advances in computing; however, this transition towards data-driven decision making requires more sophisticated use of statistics. Analysing larger volumes of data creates both challenges that can be addressed by existing statistical methods and also opportunities for the development of novel algorithms.
The demand for numerate graduates exceeds the supply in most areas. Many new and existing opportunities – in industry, medicine, government, commerce, or research – await science graduates who have supplemented their first degree with additional training in quantitative skills, such as those provided by the postgraduate programmes available within the Department of Statistical Science.
Exam scores, important dates, undergraduate, tuition fee and scholarships, tuition fee, scholarships, domestic students, international students.
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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IOE, UCL’s Faculty of Education and Society (12)
Applied educational leadership ma, applied linguistics ma, art education, culture and practice ma, child development msc, comparative education ma, developmental and educational psychology msc, digital media: critical studies ma, digital media: education ma, digital media: production ma, early years education (online) ma, early years education ma, education (advanced practice) ma, education (assessment) ma, education (citizenship) ma, education (geography) ma, education (history) ma, education (literacy) ma, education (psychology) ma, education (science) ma, education ma, education and international development ma, education and international development: conflict, emergencies and peace (cep) ma, education and technology ma, education, gender and international development ma, education, health promotion and international development ma, educational leadership (in-service) ma, educational leadership (pre-service) ma, educational leadership (teach first) ma, educational neuroscience msc, educational planning, economics and international development ma, engineering and education msc, english education ma, global learning ma, intercultural communication ma, mathematics education ma, museums and galleries in education ma, music education ma, philosophy of education ma, policy studies in education ma, primary education (4-12) ma, psychology of education msc, social justice and education ma, social policy and social research (with systematic reviews) msc, social policy and social research msc, social research mres, social research methods msc, sociology of childhood and children's rights ma, sociology of education ma, special and inclusive education (autism) ma, special and inclusive education (specific learning difficulties) ma, special and inclusive education ma, specific learning difficulties (dyslexia) ma, teaching english to speakers of other languages (tesol) in-service ma, teaching english to speakers of other languages (tesol) pre-service ma, ucl bartlett, faculty of the built environment (12), architectural computation mres, architectural computation msc, architectural design march, architectural history ma, architecture march, architecture and digital theory mres, architecture and historic urban environments ma, bio-integrated design msc, building and urban design in development msc, built environment: environmental design and engineering msc, built environment: sustainable heritage msc, business and sustainability msc, cinematic and videogame architecture march, city planning mplan, connected environments msc, construction economics and management msc, data science for cultural heritage msc, development administration and planning msc, digital engineering management msc, digital innovation in built asset management msc, economics and policy of energy and the environment msc, energy systems and data analytics (esda) msc, environment and sustainable development msc, fire safe design march, global prosperity msc, global urbanism masc, health in urban development msc, health, wellbeing and sustainable buildings msc, healthcare facilities msc, housing and city planning msc, infrastructure investment and finance msc, infrastructure planning, appraisal and development msc, innovation, public policy and public value mpa, inter-disciplinary urban design mres, international planning msc, international real estate and planning msc, landscape architecture ma, landscape architecture mla, learning environments msc, light and lighting msc, project and enterprise management msc, prosperity, innovation and entrepreneurship msc, prosperity, people and planet msc, real estate economics and investment analysis msc, situated practice ma, smart buildings and digital engineering msc, smart energy and the built environment msc, social development practice msc, space syntax: architecture and cities mres, space syntax: architecture and cities msc, spatial planning degree apprenticeship msc, spatial planning msc, strategic management of projects msc, sustainable resources: economics, policy and transitions msc, sustainable urbanism msc, transport and city planning msc, urban design and city planning msc, urban economic development msc, urban regeneration msc, urban spatial science mres, urban spatial science msc, ucl division of psychology and language sciences (12), child and adolescent psychology and neuroscience in practice pg dip, ucl faculty of arts and humanities (12), archives and records management ma, classics ma, comparative literature ma, comparative russian and eurasian politics: dual degree ma, creative health masc, digital humanities ma, digital humanities msc, early modern studies ma, english linguistics ma, english: issues in modern culture ma, european culture and thought: culture ma, european culture and thought: thought ma, european studies: european society ma, european studies: modern european studies ma, film studies ma, fine art mfa, gender, society and representation ma, health humanities ma, jewish studies ma, knowledge, information and data science msc, language, culture and history: dutch studies ma, language, culture and history: french and francophone studies ma, language, culture and history: german history ma, language, culture and history: german studies ma, language, culture and history: hispanic studies ma, language, culture and history: italian studies ma, language, culture and history: scandinavian studies ma, library and information studies ma, philosophical studies mphil stud, philosophy ma, philosophy, politics and economics of health ma, publishing ma, race, ethnicity and postcolonial studies ma, reception of the classical world ma, russian studies ma, russian and east european literature and culture ma, russian and post-soviet politics ma, translation and technology (audiovisual) msc, translation and technology (scientific, technical and medical) msc, translation and technology (with interpreting) msc, translation: research ma, translation: translation studies ma, translation: translation and culture ma, ucl faculty of brain sciences (12), advanced audiology msc, advanced audiology: audiovestibular medicine msc, advanced audiology: otology and skull base surgery msc, advanced clinical practice in ophthalmology (integrated degree apprenticeship) msc, advanced neuroimaging mres, advanced neuroimaging msc, advanced practice in optometry and ophthalmology msc, audiological science msc, audiological science with clinical practice msc, behaviour change msc, bioscience entrepreneurship msc, brain sciences mres, brain and mind sciences msc, child and young persons psychological wellbeing practice pg dip, clinical associate in psychology (adult mental health) apprenticeship msc, clinical mental health sciences msc, clinical neurology msc, clinical neuroscience msc, clinical neuroscience: neuromuscular disease msc, clinical neuroscience: stroke msc, clinical ophthalmic practice msc, cognitive neuroscience mres, cognitive neuroscience msc, cognitive and decision sciences msc, dementia: causes, treatments and research (mental health) msc, dementia: causes, treatments and research (neuroscience) msc, developmental neuroscience and psychopathology mres, developmental psychology and clinical practice msc, early child development and clinical applications msc, human-computer interaction msc, language sciences (sign language and deaf studies) msc, language sciences: development of language and speech msc, language sciences: neuroscience of language and speech msc, language sciences: principles of language and speech msc, language sciences: technology of language and speech msc, linguistics ma, linguistics mphil, linguistics with a specialisation in phonology ma, linguistics with a specialisation in syntax ma, low intensity cognitive behavioural interventions for common mental health problems pg cert, mental health sciences research msc, neuromuscular disease mres, neurosurgery mres, ophthalmology msc, optometry and ophthalmology (advanced clinical practice) msc, optometry and ophthalmology (enhanced clinical practice) pg cert, optometry and ophthalmology msc, optometry and ophthalmology pg cert, orthoptics (pre-registration) msc, psychological sciences msc, research pathways in advanced therapeutics msc, research pathways in advanced therapeutics with practice msc, senior wellbeing practitioner pg dip, social cognition: research and applications msc, speech and language sciences msc, speech, language and cognition mres, stroke medicine mres, theoretical psychoanalytic studies (non-clinical) msc, translational neuroscience mres, ucl faculty of engineering sciences (12), artificial intelligence for biomedicine and healthcare msc, artificial intelligence for sustainable development msc, banking and digital finance msc, biochemical engineering msc, biomaterials and tissue engineering msc, business analytics msc, chemical process engineering msc, civil engineering (with environmental systems) msc, civil engineering (with fluids) msc, civil engineering (with infrastructure planning) msc, civil engineering (with integrated design) msc, civil engineering (with railways) msc, civil engineering (with seismic design) msc, civil engineering msc, computational finance msc, computational statistics and machine learning msc, computer graphics, vision and imaging msc, computer science msc, connected electronic and photonic systems mres, countering organised crime and terrorism msc, crime science msc, crime and forensic science msc, data science and machine learning msc, development, technology and innovation policy mpa, digital technologies and policy mpa, disability, design and innovation msc, earthquake engineering with disaster management msc, emerging digital technologies msc, energy, technology and public policy mpa, engineering for international development msc, engineering with finance msc, engineering with innovation and entrepreneurship msc, entrepreneurship msc, environmental systems engineering msc, finance msc, financial risk management msc, financial technology msc, geospatial sciences (building information modelling and surveying) msc, geospatial sciences (geographic information science and computing) msc, geospatial sciences (hydrographic surveying) msc, geospatial sciences msc, global management of natural resources msc, information security msc, integrated machine learning systems msc, internet engineering msc, machine learning msc, management msc, manufacture and commercialisation of stem cell and gene therapies msc, marine engineering msc, mechanical engineering msc, medical physics and biomedical engineering mres, medical robotics and artificial intelligence msc, nanotechnology msc, naval architecture msc, physics and engineering in medicine msc, physics and engineering in medicine by distance learning msc, policing msc, power systems engineering msc, robotics and computation msc, science, engineering and public policy mpa, software systems engineering msc, spatio-temporal analytics and big data mining msc, sustainable infrastructures and public policy mpa, synthetic biology mres, telecommunications mres, telecommunications msc, telecommunications with business msc, transport msc, urban innovation and policy mpa, urban sustainability and resilience mres, venture capital and private equity with financial technology msc, wireless and optical communications msc, ucl faculty of laws (12), ucl faculty of life sciences (12), biodiversity, evolution and conservation mres, biomedical sciences msc, biosciences mres, citizen science msc, clinical pharmacy, international practice and policy msc, clinical pharmacy, international practice and policy with extended placement msc, drug discovery and development msc, drug discovery and pharma management msc, experimental pharmacology and therapeutics msc, genetics of human disease msc, msc ecology & data science, neuroscience msc, pharmaceutical formulation and entrepreneurship msc, pharmaceutical research mres, pharmaceutics msc, ucl faculty of mathematical and physical sciences (12), advanced materials science (energy storage) msc, advanced materials science msc, applied analytical chemistry msc, astrophysics msc, chemical research msc, data science msc, financial mathematics msc, geophysical hazards msc, geoscience msc, history and philosophy of science msc, management of complex projects msc, materials and molecular modelling msc, materials for energy and environment msc, mathematical modelling msc, organic chemistry: drug discovery mres, physics msc, planetary science msc, quantum technologies msc, risk and disaster reduction mres, risk and disaster science msc, risk, disaster and resilience msc, science communication msc, science, technology and society msc, scientific and data intensive computing msc, space science and engineering: space science msc, space science and engineering: space technology msc, statistics (medical statistics) msc, statistics msc, systems engineering management msc, technology management msc, ucl faculty of medical sciences (12), advanced biomedical imaging msc, advanced minimally-invasive surgery msc, aesthetics (aesthetic surgery) ms, aesthetics (minimally-invasive aesthetics) ms, anaesthesia and perioperative science msc, burns, plastic and reconstructive surgery msc, clinical drug development mres, clinical drug development msc, clinical and public health nutrition msc, conservative dentistry msc, dental hygiene msc, dietetics msc, drug design mres, drug design msc, eating disorders and clinical nutrition msc, endodontics msc, endodontology (advanced training) mclindent, endodontology mclintdent, experimental and translational immunology mres, experimental and translational immunology msc, genetics and multiomics in medicine msc, health professions education msc, human tissue repair mres, human tissue repair msc, implant dentistry msc, infection and immunity msc, medical education msc, musculoskeletal science msc, nanotechnology and regenerative medicine msc, obesity and clinical nutrition msc, oral medicine msc, oral surgery (advanced training) mclindent, oral surgery mclindent, oral and maxillofacial surgery msc, orthodontics (advanced training) mclindent, orthodontics mclindent, orthopaedics msc, paediatric dentistry msc, pain management msc, performing arts medicine msc, periodontology (distance learning) msc, periodontology mclindent, perioperative medicine msc, physical therapy in musculoskeletal healthcare and rehabilitation msc, precision medicine msc, prosthodontics (advanced training) mclindent, rehabilitation engineering and assistive technologies msc, respiratory clinical science msc, restorative dental practice msc, special care dentistry msc, sports dentistry: oral health in sport msc, sports medicine, exercise and health msc, surgical and interventional sciences msc, ucl faculty of population health sciences (12), advanced physiotherapy: cardiorespiratory msc, advanced physiotherapy: musculoskeletal msc, advanced physiotherapy: neurophysiotherapy msc, advanced physiotherapy: paediatrics msc, applied infectious disease epidemiology msc, applied paediatric neuropsychology msc, biotech and pharmaceutical management msc, cardiovascular science msc, cell and gene therapy msc, child health mres, child and adolescent mental health msc, clinical paediatric neuropsychology msc, clinical trials msc, dental public health msc, global health and development msc, global healthcare management (analytics) msc, global healthcare management (finance) msc, global healthcare management (leadership) msc, health data analytics msc, health data science msc, health economics and decision science msc, health informatics msc, health psychology msc, infancy and early childhood development msc, msc digital health and entrepreneurship, master of public health mph, paediatrics and child health: advanced paediatrics msc, paediatrics and child health: community child health msc, paediatrics and child health: global child health msc, paediatrics and child health: intensive care msc, paediatrics and child health: molecular and genomic paediatrics msc, personalised medicine and novel therapies msc, physiotherapy studies: cardiorespiratory msc, physiotherapy studies: musculoskeletal msc, physiotherapy studies: neurophysiotherapy msc, physiotherapy studies: paediatrics msc, population health msc, prenatal genetics and fetal medicine msc, reproductive science and women's health mres, reproductive science and women's health msc, social epidemiology msc, statistics for clinical trials msc, women's health msc, ucl faculty of social and historical sciences (12), ancient history ma, anthropology mres, anthropology, environment and development msc, aquatic conservation, ecology and restoration msc, archaeological science: technology and materials msc, archaeology ma, archaeology and heritage of asia ma, archaeology and heritage of egypt and the middle east ma, artefact studies ma, bioarchaeological and forensic anthropology msc, biosocial medical anthropology msc, caribbean and latin american studies ma, central and south-east european studies ma, chinese health and humanity ma, climate change msc, comparative business economics ma, comparative economics and policy ma, computational archaeology: gis, data science and complexity msc, conservation msc, conservation for archaeology and museums msc, creative documentary by practice mfa, creative and collaborative enterprise ma, cultural heritage studies ma, data science and public policy (economics) msc, data science and public policy (political sciences) msc, democracy and comparative politics msc, digital anthropology msc, east european studies mres, economics msc, economy, state and society: economics and business ma (international), economy, state and society: history and society ma (international), economy, state and society: politics and security ma (international), economy, state and society: politics and the international economy ma (international), environment, politics and society msc, environmental archaeology msc, environmental modelling msc, ethnographic and documentary film (practical) ma, european politics and policy msc, global governance and ethics msc, global migration msc, global public policy and management empa, globalisation and latin american development msc, history (ssees) ma, history of art ma, human evolution and behaviour msc, human rights ma, immersive factual storytelling ma, international public policy msc, international relations of the americas msc, late antique and byzantine studies ma, latin american politics msc, latin american studies ma, legal and political theory ma, managing archaeological sites ma, material and visual culture ma, medical anthropology msc, medieval and renaissance studies ma, mediterranean archaeology ma, museum studies ma, palaeoanthropology and palaeolithic archaeology msc, political analysis (russia and eastern europe) ma, political sociology (russia and eastern europe) ma, politics, violence and crime msc, principles of conservation ma, public administration and management mpa, public archaeology ma, public history ma, public policy msc, remote sensing and environmental mapping msc, research methods for archaeology ma, security studies msc, social and cultural anthropology msc, social and geographic data science msc, the politics and economics of eastern europe mres, united states studies: history and politics ma, urban studies msc, full-time mba (3), business administration mba, online/distance mba (3), part-time mba (3), educational leadership (international) mba, culture, communication and media edd, culture, communication and media mphil/phd, curriculum, pedagogy and assessment edd, curriculum, pedagogy and assessment mphil/phd, education (online) mphil/phd, education, practice and society edd, education, practice and society mphil/phd, learning and leadership edd, learning and leadership mphil/phd, professional educational, child and adolescent psychology dedpsy, psychology and human development edd, psychology and human development mphil/phd, social science edd, social science mphil/phd, advanced spatial analysis mphil/phd, architectural design mphil/phd, architectural practice mphil/phd, architectural space and computation mphil/phd, architectural and urban history and theory mphil/phd, architecture and digital theory mphil/phd, construction and project management mphil/phd, development planning mphil/phd, energy mphil/phd, energy, resilience and the built environment mphil/phd, environmental design and engineering mphil/phd, global prosperity mphil/phd, innovation and public policy mphil/phd, planning mphil/phd, sustainable heritage mphil/phd, sustainable resources mphil/phd, comparative literature mphil/phd, dutch mphil/phd, early modern studies mphil/phd, english language and literature mphil/phd, european studies mphil/phd, film studies mphil/phd, fine art mphil/phd, french mphil/phd, gender and sexuality studies mphil/phd, german mphil/phd, health humanities mphil/phd, hebrew and jewish studies mphil/phd, information studies mphil/phd, italian mphil/phd, philosophy mphil/phd, scandinavian studies mphil/phd, slavonic and east european studies mphil/phd, spanish, portuguese and latin american studies mphil/phd, translation studies mphil/phd, child and adolescent psychotherapy dpsych, clinical psychology dclinpsy, clinical, educational and health psychology mphil/phd, cognitive neuroscience mphil/phd, ear institute mphil/phd, educational psychology dedpsy, educational and child psychology dedpsy, experimental psychology mphil/phd, language and cognition mphil/phd, linguistics mphil/phd, neurology mphil/phd, ophthalmology mphil/phd, psychiatry mphil/phd, speech, hearing and phonetic sciences mphil/phd, ucl interaction centre mphil/phd, biochemical engineering mphil/phd, biochemical engineering and bioprocess leadership engd, chemical engineering mphil/phd, civil, environmental and geomatic engineering mphil/phd, computer science (4 year programme) mphil/phd, cybersecurity mphil/phd, electronic and electrical engineering mphil/phd, financial economics mres + mphil/phd, foundational artificial intelligence mphil/phd, management mres + mphil/phd, mechanical engineering mphil/phd, medical imaging mres + mphil/phd, medical physics and bioengineering mphil/phd, science, technology, engineering and public policy dpa, science, technology, engineering and public policy mphil/phd, security science mres + mphil/phd, security and crime science mphil/phd, urban sustainability and resilience mres + engd, law mphil/phd, cell and developmental biology mphil/phd, developmental and stem cell biology (4 years) mphil/phd, gatsby computational neuroscience unit mphil/phd, genetics, evolution and environment mphil/phd, molecular cell biology (4 years) mphil/phd, neuroscience, physiology and pharmacology mphil/phd, optical biology mphil/phd, pharmacy mphil/phd, structural and molecular biology mphil/phd, chemistry mphil/phd, earth sciences mphil/phd, geometry and number theory mphil/phd, mathematics mphil/phd, physics and astronomy mphil/phd, quantum technologies mres + phd, risk and disaster reduction mphil/phd, science and technology studies mphil/phd, space and climate physics mphil/phd, cancer institute mphil/phd, dentistry (ucl eastman dental institute) mphil/phd, dentistry - clinical experience (ucl eastman dental institute) mphil/phd, haematology mphil/phd, infection and immunity mphil/phd, medical education mphil/phd, medicine mb phd, medicine mphil/phd, oncology mphil/phd, paediatric dentistry ddent, pathology mphil/phd, surgery and interventional science mphil/phd, applied health research mphil/phd, artificial intelligence enabled healthcare mres + mphil/phd, behavioural science and health mphil/phd, cardiovascular biomedicine (4 years) mphil/phd, cardiovascular science mphil/phd, child health mphil/phd, clinical trials and methodology mphil/phd, epidemiology and public health mphil/phd, global health mphil/phd, health informatics mphil/phd, lifelong health mphil/phd, primary care and population health mphil/phd, women's health mphil/phd, anthropology mphil/phd, archaeology mphil/phd, economics mres + mphil/phd, geography (practice-related) mphil/phd, geography mphil/phd, history mphil/phd, history of art mphil/phd, human geography mphil/phd, political science mphil/phd, the americas mphil/phd.
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3 New PhD Studentships within UCL Statistics
Ucl - department of statistical science.
Applications are invited for 3 PhD Studentships based at the Department of Statistical Science, UCL. The positions can involve any topic within the Statistical Science remit.
The Department is among the three largest Statistics groups in the UK with more than 30 academic members of staff. Research in the Department is organised into six themes : Biostatistics; Computational Statistics; Economics, Finance and Business; Environmental Statistics; General Theory and Methodology; Multivariate and High Dimensional Data. Research often cuts across these areas. Much of the research is interdisciplinary and involves collaborations within and outside UCL.
The positions available are:
- 2 Departmentally-funded Teaching Assistantships - Starting date up to end of July 2023 at the latest
- 1 Studentship funded by the Heilbronn Institute - Starting date in September 2023
- The positions are open to both Home and International applicants.
- The Studentships are guaranteed to cover the Home part of the tuition fees and an annual stipend.
- For a successful International applicant, the awarded Studentship is not guaranteed to cover the difference between the International and Home path of the tuition fees.
- However, in the event that not all 3 positions are filled, the remaining funds will be used to cover the full International tuition fees for 1 successful International applicant.
- For information, Home tuition fees are set to £5,860 for 2023/24 for a full-time position, and the corresponding International tuition fees are set to £26,200.
Each Teaching Assistantship will be 3.5 years in duration (or 6 years for part-time students) and is guaranteed to cover the Home part of the tuition fees, an annual maintenance stipend and a small allowance for consumables. For the last academic year, 2022/23, the stipend was £19,668, rising with inflation each year - the exact amount for 2023/24 onwards will be announced soon. Full-time students will spend 6 months of their time teaching (spread across the 3.5 years) and devote the remainder to undertaking their research.
The Heilbronn Studentship will be 4 years in duration (or 6 years for part-time candidates) and is guaranteed to cover the Home part of the tuition fees, an annual maintenance stipend and a small allowance for consumables. For the last academic year, 2022/23, the stipend was £19,668, rising with inflation each year - the exact amount for 2023/24 onwards will be announced soon.
The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class Bachelor’s degree, or a Master’s degree with merit or distinction, in Mathematics, Statistics, Computer Science, or a related quantitative discipline. International qualifications of an equivalent standard are also acceptable. Further details can be found on the Departmental website .
The requirements for appointment as a Postgraduate Teaching Assistant – relevant in particular for the Teaching Assistantships – are detailed in the PGTA person specification .
How to Apply
A single application procedure covers both types of Studentships (Teaching Assistantship and Heilbronn Studentship). A candidate can select one or both types of Studentships to be considered for when completing the funding application form. The link to the funding application form can be found below.
Candidates will need to identify and be in contact with a prospective supervisor in the department in advance of submitting an application.
Step 1: All candidates should first apply for admission to a MPhil/PhD in Statistical Science by visiting the relevant UCL website .
Step 2: The following two documents should then be sent to [email protected] , after changed into a PDF format:
- Funding application form (link to Word document to be completed by the candidate)
- Supervisor reference form (link to Word document to be completed and sent by the prospective supervisor)
Step 3: For an application to be completed, candidates should also fill in the following online form:
Diversity data form (link to Microsoft Form to be completed by the candidate)
Applications must be submitted by the deadline of 16th January 2023 , with shortlisting decisions made very soon after this date.
The details of these scholarships, including the eligibility requirements and application procedure are available from the 'Apply' link.
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- Louvain Institute of Data Analysis and Modeling in...
Institute of Statistics, Biostatistics and Actuarial Sciences
Welcome at isba .
The Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) of the Université catholique de Louvain (UCLouvain) is a research centre of high international reputation.
ISBA collaborates with the teaching unit Louvain School of Statistics, Biostatistics and Actuarial Sciences (LSBA ) and the technological platform Statistical Methodology and Computing Support (SMCS) .
WORKSHOP by Luc Boone (EORTC)
SEMINAR by Simone Maxand (Europa-Universität Viadrina)
University College London
Founded in 1826, UCL is London’s leading multidisciplinary university, with more than 13,000 staff and 42,000 students from 150 different countries. We are a diverse community in the heart of London, with the freedom and courage to challenge, question and think differently. Through a progressive approach to teaching and research, our world leading academics, curious students and outstanding staff continually pursue excellence, break boundaries and make an impact on real world problems.
Departments of Mathematics and Statistical Science
UCL contributes to the Martingale Scholarships through its two departments of Mathematics and Statistical Science. Mathematics was one of a small number of disciplines established at UCL’s foundation in 1826. The Department of Statistical Science , founded in 1911, was the first statistics department to be established anywhere in the world. Today the two departments, Mathematics and Statistical Science, work closely together as constituent parts of UCL’s Institute for Mathematical and Statistical Sciences (IMSS).
The departments have a vibrant, diverse community of over 100 academic staff, hundreds of postgraduate students and thousands of undergraduates. They welcome a regular stream of distinguished visiting academics from home and abroad. The broad range of research interests cover many areas of modern pure and applied mathematics, including pure and applied analysis, statistical methodology, geometry and topology, number theory, inverse problems, fluid dynamics, mathematical modelling, numerical analysis, and financial mathematics.
Following the latest Research Excellence Framework assessment, mathematical sciences at UCL is currently ranked 8 in the UK in terms of research power. For the mathematics unit of submission, 97.9% of UCL’s papers were graded as 4* world leading or 3* internationally excellent, the second highest of any at UCL.
The following course will be available for full funding through the martingale foundation:, integrated phd in mathematics and statistical sciences.
UCL will offer Martingale Scholars a four-year integrated PhD programme. Year 1 will be based on the structure that UCL has successfully implemented in centres for doctoral training (CDTs). Scholars will be matched with a mentor, who will provide academic and pastoral support, aiding the transition to a research career. Scholars will work with their mentor in Year 1 to identify relevant taught courses and seminars offered by departments and affiliated CDTs.
Scholars will also be matched with a small group of potential supervisors, who will provide access and insight into relevant research projects. Scholars will work with this supervisory group to develop their research interests, and to identify potential research questions and a lead supervisor for PhD thesis in Years 2-4.
Applications will be via UCL’s online system, here for applications at the Department of Mathematics , and here for applications at the Department of Statistical Science.
The minimum entry requirement is a 2:1 in a relevant bachelor’s degree in or an overseas qualification of an equivalent standard. You must also provide the following documents:
Your official transcript. Please read our guide on getting your academic transcript. This explains exactly what UCL can and cannot accept. Sending documents that cannot be accepted will delay your application being processed.
A research proposal. Your research proposal is an important part of your application. It should outline the area of research you wish to undertake, demonstrate your knowledge of the subject area and summarise the question you want to answer through your research.
Details of two referees. At least one of these must be an academic reference, but if your most recent academic qualification was more than five years ago this can be substituted by a reference for research experience gained during employment.
Eligible candidates are always interviewed by a panel of academic staff. Virtual interviews via Teams or Zoom can be arranged, as needed.
In compliance with university regulations, registration is initially for an MPhil degree. Students who make satisfactory progress will have their registration transferred to a PhD, usually after 12 to 18 months.
The deadline for applications to the integrated PhD in Mathematical and Statistical Sciences is 6 February 2023 .
Assistant professor and epsrc fellow in statistics & machine learning, university college london (ucl).
I am currently Assistant Professor/Lecturer at UCL’s Department of Statistical Science. For the next 3 years, I will be bought out of teaching and administrative duties with an EPSRC research fellowship to continue my work on Optimisation-centric Generalisations of Bayesian Inference . I am also a visiting researcher at the Alan Turing Institute’s Data-Centric Engineering Programme, as well as an advisor for HopStair .
My research revolves around extending the paradigm of Bayesian inference to cope with the challenges posed by modern large-scale data, simulator models, and machine learning techniques. In this context, I am particularly interested in generalised Bayesian inference, model misspecification and robustification strategies, computational challenges involving intractability, and variational methods. If you would like to learn more about my research, I have summarised some of my key contributions in the following talk .
Prior to UCL, I was a doctoral candidate within the Oxford-Warwick Statistics programme (2016-2022) as well as the first UK-based Facebook Fellow (2020/2021). During that time, I also worked with the research arms of Amazon (2019) and DeepMind (2021). I remain eager to stay in close contact with industry, and am very open to being approached by potential industrial partners for both academic and non-academic work.
Download my resumé .
- Generalised Bayesian methodology
- Robust Bayesian inference
- Variational Methods
PhD in Statistical Sciences, 2022
OxWaSP (Oxford-Warwick Statistics Programme)
BSc+MSc in Econometrics & Operations Research, 2016
Bayesian methods require assumptions that are often misaligned with the realities of modern day inference. It is my conviction that we can overcome these challenges with an optimisation-centric generalisation of Bayes' rule.
Research group & Supervision
I am currently setting up my own research group, and so I will take on new PhD students from diverse social and academic backgrounds . Candidates should have a strong background in statistics, computer science, mathematics, econometrics, physics, or a related discipline and be passionate about research. It is important to me that my students are supervised well, and since I have no teaching or administrative duties over the coming years, I can focus on supervision for a large part of my time.
If you are interested, please do get in touch with me directly and send through transcripts as well as a CV. You are not required to have a clear thought-out research plan before getting in touch with me. Please email me at j dot knoblauch at ucl dot ac dot uk.
I am offering a few master’s projects this year that will be circulated at the department. If you are interested in any of these or have an alternative idea that you think would fit within my research remit, please get in touch with me. Please email me at j dot knoblauch at ucl dot ac dot uk.
- Matias Altamirano ; first-year doctoral researcher working on robust Bayesian methods in time series models
- Masha Naslydnik ; second-year doctoral researcher working on new measures of robust distance in conditional probability models
- Veit Wild ; third-year doctoral researcher working on generalised variational and Bayesian methods in function spaces
Selected Recorded Talks
PDF Cite Code Video
PDF Cite Code
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