MSc Statistics degree courses
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Statistics and Econometrics MSc
University Of EssexStudy modes: Full time
Course description: The course is aimed at students whose first degree included training in both statistics and economics; modules for this course look at how specialised statistical methods are required to deal with the peculiar problems of economic data.(read more)
Statistics MSc (Research)
University Of EssexStudy modes: Full time | Part time evening
Course description: Research supervisions available in the areas of: pure mathematics; applied mathematics; statistics; operational research; algebra (semi groups); mathematical modelling of laser materials processing; mathematical and statistical studies of the remote sensing of rain; computational operational research.(read more)
Statistics and Applied Probability MSc
University Of NottinghamStudy modes: Full time
Course description: Modules include: Advanced topics in statistics; computational statistics; advanced stochastic processes; probability theory; stochastic financial modelling; applied probability; applications of statistics; time series and forecasting; and a dissertation.(read more)
Statistics MSc
University Of NottinghamStudy modes: Full time
Course description: Modules include: Fundamentals of statistics; statistical interference; generalised linear models and medical statistics; advanced topics in statistics; stochastic financial modelling; advanced stochastic processes; time series and forecasting; applications of statistics; plus a dissertation.(read more)
Statistics and Operational Research MSc
University Of EssexStudy modes: Full time
Course description: This course is aimed at students with a 1st degree in which the major subject was mathematics although some prior knowledge of statistics (e.g. significance testing and basic statistical distributions) and operational research (e.g. linear programming) is expected.(read more)
Medical Statistics MSc
Oxford Brookes UniversityStudy modes: Full time | Part time evening
Course description: The taught programme provides understanding and practical expertise in applying statistical methods used widely in medical research and epidemiology, including survival analysis, categorical data analysis, models for analysing longitudinal data and meta-analysis.(read more)
Statistics MSc
University Of KentStudy modes: Full time
Course description: Modules give a thorough grounding in modern statistical methods and cover probability and inference, regression, design and analysis of experiments, sampling, multivariate analysis, analysis of discrete data and modern computational statistics.(read more)
Statistics and Data Analysis MSc
University Of EssexStudy modes: Full time
Course description: This course focuses on the ability to analyse data, which is fundamental to quantitative social science; some modules on this course are also given by specialists from the Institute for Social and Economic Research.(read more)
Social Research Methods and Statistics MSc
City University LondonStudy modes: Full time | Part time evening
Course description: Core modules: Research design, methods and methodology; methods of data collection; data analysis using SPSS; rationale and philosophical foundations of social research; qualitative research methods; survey research methods; advanced data analysis; electives: analysing media discourses; statistical modelling; social policy research and evaluation.(read more)
Statistics MSc (Research)
University Of KentStudy modes: Full time | Part time evening
Course description: Supervision is available for research within the Statistics Group, which undertakes a varied range of research, with emphasis on both the theoretical and the applied; the group has strong connections with research universities in the United States, such Texas A&M University, and the University of Texas; all postgraduate students are encouraged to take part in seminars and to help in tutorial classes.(read more)
Statistics with Applications in Medicine MSc
University Of SouthamptonStudy modes: Full time | Part time evening
Course description: This programme provides a broad grounding in advanced statistical methods, with a focus on applications in research, the NHS and the pharmaceutical industry; the School has close connections with many pharmaceutical companies and medical research organisations; the programme structure also allows mathematicians with some statistical experience to move into this field.(read more)
Statistics and Computer Science MSc
University Of EssexStudy modes: Full time
Course description: Course for mathematically trained candidates who wish to develop expertise in aspects of computer science; students with no experience of programming in Java are required to take the autumn term double module Programming with Java.(read more)
Statistics and Operational Research MSc
University Of EdinburghStudy modes: Full time | Part time evening
Course description: This programme facilitates the professional development of students in the theory and practice of statistics and operational research (OR); it is relevant in preparing students to work in areas such as the medical and health industry, the government, the financial sector and any other area where modern statistical tools and or techniques are used.(read more)
Applied Statistics MSc
Sheffield Hallam UniversityStudy modes: Distance with attendance
Course description: The course provides part-time postgraduate education in applied statistics for people including statisticians, those employed in related areas such as planning, operational research, business intelligence, marketing, and those with a general interest in statistics; the course, delivered by distance learning, produces statisticians with a strong background in the ideas and uses of statistical methods.(read more)
Six Sigma Quality (Manufacture) MSc
Southampton Solent UniversityStudy modes: Part time evening
Course description: The course covers the application of problem solving, and statistical analysis techniques used in the process of developing, and delivering near-perfect products.(read more)
Statistics MSc (Research)
Oxford UniversityStudy modes: Full time
Course description: Supervision available for research in broad range of statistical theory and applied probability; research into methodology is often motivated by problems arising in particular areas of application, and may require construction of mathematical models for specific situations.(read more)
Applied Statistics with Business Statistics MSc
Sheffield Hallam UniversityStudy modes: Distance with attendance
Course description: This course is for graduates working with statistics in a business environment who wish to extend their knowledge and take a postgraduate qualification in statistics, but whose 1st degree is in another discipline; the course produces management statisticians with a strong background in the methodology and theory of statistics who can apply these in a business and finance context.(read more)
Statistics and Management Science MSc
University Of The West Of England, BristolStudy modes: Full time | Part time evening
Course description: Students learn the skill of communicating complicated statistical findings to non-technical decision makers; the course equips people from a broad variety of academic backgrounds and professional experience with the knowledge and skills to apply statistical and operational research approaches to a huge range of practical situations; it demonstrates the wide applicability of these approaches within a business or industrial context.(read more)
All statistics courses at University Of The West Of England, Bristol
Applied Social Statistics MSc
Lancaster UniversityStudy modes: Full time | Part time evening
Course description: The programmes are designed to provide students with a firm grounding in enhanced quantitative skills by providing a practical foundation to the theory and application of statistical methods in the social and health sciences.(read more)
Mathematics MSc
University Of ChesterStudy modes: Full time | Part time evening
Course description: Focus of the programme is on computational applied mathematics; study includes modules that have been highlighted as being particularly relevant to students wishing to specialise in industrial mathematics, which includes: mathematics modelling, software tools for mathematics, approaches to industrial problems; for students interested in statistics, modules include: statistics; survey and sampling methods.(read more)
More Statistics courses
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Postgraduate Statistics reviews
ProcrastiNation
Mathematics MSc
University Of Chester
Andy, June 2010Overall score
Overall, I have enjoyed my time studying at the University of Chester. I would definitely recommend it to others who want a small, community based campus with excellent facilities. I would advise students to join a club or society within the Uni.
Study experience
I thought the course wouldn't be as interesting as it has turned out to be. I definitely feel that it has put me in good stead for what I want to become. I would advise students to get assignments done on time and to revise hard because the elation is far better than the disappointment.
Facilities
The library facilities are above average with new PCs and laptops becoming available all the time. Sometimes it's difficult to find a computer but with the large amount on offer, it's hard to not find a free PC. The bar is cosy and warm with a great atmosphere. Well stocked and good facilities make it a great place to relax and socialise. Full sports facilities are availabe from a rugby field, all weather pitch, climbing wall and gymnasium.
Postgraduate life
There are many societies on offer in the University and almost anyone could find one which suited their needs. There are sports clubs, recreational clubs and clubs designed for foreign students. I'm not a member of any clubs.
Job prospects
I am currently undertaking a Postgraduate Degree and I hope to go into full-time employment to clear the debts I have accrued over the years. I would then like to continue studying in America. My course will allow me to look for jobs and gain employment since Mathematics is a sought after subject. I will not pursue any further studies in this University since I would like to travel and expand my horizons.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.
Medical Statistics MSC @ LSHTM end of year review
Medical Statistics MSc
London School Of Hygiene And Tropical Medicine
Adrian , June 2007Overall score
Study experience
Now that i am 2 weeks before my final exams, and avoiding revision, my views about the course have not particularly changed. In some ways the more interesting modules like Advance Statistical Modeling were the most interesting modules delivered on the course. Again the teaching is excellent. James Carpenter and Mike Kenward who deliver large chunks of the course are very clear concise and accurate. This is exactly what you want when someone is explaining complex ideas. I think if your considering this course be sure you are interested in the applications of statistics to medicine, and are reasonably good at explaining your thoughts via essays. In addition you need good computing skills. If you have trouble with simple packages like word and excel you may strugle with the more complex packages.
Facilities
The faccilities at the school are preety much as described in a previous review. However when the current building work is finished i am sure lshtm will be a wonderful place to study. However, the course orgainisers could still do more to accomodate the needs of the students by providing better white boards for lectures. The basics are being sadly overlooked.
Postgraduate life
All the students are great and the atmosphere is really nice. Everyone is supportive and always willing to help. There doesn't appear to be much competition between students which is nice.
This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.
The MSc in Medical Statistics @ LSHTM
Medical Statistics MSc
London School Of Hygiene And Tropical Medicine
Adrian , January 2007Overall score
Study experience
The MSc in Medical Statistics @ LSHTM is a well organised and interesting course. There is a diverse range of individuals studying, with different academic and cultural backgrounds. There is the obvious bunch of maths and statistics graduates, but there is also a good handful of engineering types, software programmers, clinicians, biological sciences graduates as well. The age range on the course is also quite wide, with the fresh under grads and also the more mature grads who are returning for a bit more excitement and training. This year 06-07 students are about half and half home and international, which is what you would expect from LSHTM. The course for 07-08 is being heavily reorganised for term 1. However I imagine the content will be fairly similar, we started with all the basics types of models and a splash of a probability to ease into things, and then progressed into the idea of likelihood and regression. The course is quite fast paced for the uninitiated like myself, but still allows relative novices to keep up with things, or so it seems, i can imagine if you have a BSc in stats there will be a fair bit of repetition in the first term, however that means it should be a good bit of revision. As well as the stats there is also a basic epi module and clinical trials both give a good foundation to the subjects, I personally think the epi could be taught better but i think i maybe alone in this opinion. The lectures are generally split morning and afternoon, which is then divided into lecture and practical giving you the chance to reinforce the idea taught previously. Its a 9.30 start and then a half hour 20 min break midmorning finishing for lunch at 12.30 the afternoon starts at 2 and finishes at 5, again with a 30 min break in the middle. The breaks seem quite long and i think they are for some subjects, but on the days with tricky lectures you are very thankful. You have lectures Monday, Tuesday, Thursday, and Friday its quite heavy. Currently the school is undergoing a lot of building work, and it seems the lectures are dotted all around UCL, Birbeck and LSHTM. I am sure this will settle down when the building work has finished, but currently is a bit of a pain. The school is pretty well stocked for computers, and the IT support is really good for a small place. My only criticism is that your not given a stata licence for the year of study. I think this may be being addressed though. For every module you get a chunky folder with all the course material and notes, which is nice and handy. Another handy thing is your personal tutor, i think the ratios are good probably 1 to 3, which is a lot better than some places which have 1 to 10, tutor to students. Overall this course is really good, but they need to work on their teaching rooms making sure they are properly equipped with whiteboards and projectors so you can see the overheads. I would give them 90% for content of the course, but 50% for equipment and facilities, and 95% for helpfulness especially the legend Dan Altman, probably one of the courses best assets.
Facilities
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Postgraduate life
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This review is the subjective opinion of a postgraduatesearch.com reviewer and not of postgraduatesearch.com.