Diploma-MSc in Statistics with Applications in Medicine

Comments about Diploma-MSc in Statistics with Applications in Medicine - At the institution - Southampton - Hampshire

• Objectives
  Aims and Objectives Aims: 1. to give students knowledge of applied statistical theory and methods at an advanced level; 2. to train students for careers as applied statisticians, particularly in areas related to medicine; 3. to enable students to develop oral and written communication skills; 4. to give students experience of applications of statistical methods. Learning and Assessment Objectives: By the end of the course the students should be able to demonstrate 1. knowledge and understanding of statistical theory; 2. knowledge and understanding of the application of statistical methods to practical problems; 3. the ability to carry out and interpret statistical analyses; 4. the ability to write a statistical report on a data analysis topic; 5. the ability to discuss and communicate statistical ideas orally and in written form; 6. the ability to program in SAS and S-Plus to analyse small data sets 7. the ability to use IT as a medium of communication; Students who progress to the MSc stage of the course should also be able to demonstrate: 8. an in-depth knowledge and understanding of an individually researched topic studied as the main project; 9. skill in organising their research work and in presenting their findings by the production of a substantial dissertation on their chosen project topic.
• Entry requirements
  The usual entry requirement is at least a second-class honours degree from a recognised university involving units in both mathematics and statistics. Each application is considered on its individual merits. Motivation and relevant postgraduate experience in a statistical environment are important factors that are taken into account. Other qualifications can be considered in special situations and, in these cases, candidates should send full details of their training in mathematics and statistics with their application. Although students are assumed to have a background in mathematics, including basic theoretical statistics, or to be competent mathematicians with a motivation to train as statisticians, the course is designed to meet the varying needs of students who have previously studied statistics as a minor subject with some other discipline. This flexibility is achieved through the use of optional units that may be combined in various ways with the mainstream compulsory units.
• Academic Title
  Diploma/MSc in Statistics with Applications in Medicine
• Course description
  Structure of the course
  
  Programme Outline
  
  Most lecture courses (or units) consist of twenty-four or twelve 45 minute lectures. Some lecture courses are supported by supervised practical sessions. Students are required to attend all of the compulsory units unless evidence is provided that a satisfactory level has already been attained in the subject. In this case, an additional unit may be substituted with the approval of the Course Director. Students may attend, and be assessed in, more than the required number of optional units. Final assessment will be based on the compulsory units and the best optional units.
  
  MSc Statistics with Applications in Medicine
  
  First Semester
  
  Compulsory Units
  
  -Univariate Theory and Inference (2)
  -Design of Experiments (2) *
  -Statistical Computing II (SAS, S-Plus) (2) *
  -Generalised Linear Models (2) *
  -Communication and Research Skills (2) *
  
  Optional Units: one from:
  
  -Sample Survey Theory (1) *
  -Statistical Computing I (SPSS, STATA) (1) *
  -Demographic Methods I (Week 10 only) (1) *
  
  Second Semester
  
  Compulsory Units
  
  -Survival Analysis (1) * MATH6023 (MA672) Clinical Trials and Bioassay (2)
  -Epidemiological Methods (1) *
  -Multivariate Analysis I (1) *
  -Observational Studies (1) *
  
  Second Semester
  
  Optional Units at least 48 lectures from:
  
  -Healthcare Modelling (1) 0
  -Current Trends in Information Technology (1) 0
  -Data Mining (1) 0
  -Measurement Errors (1) *
  -Bayesian Methods (1)
  -Statistical Genetics (1)
  -Multivariate Analysis II (1) *
  -Multilevel Modelling (1) *
  -Computer Intensive Statistical Methods (1) *
  -Analysis of Longitudinal Data (Week 7 only) (1) *
  
  Figures in brackets indicate the number of units weight of the course (2) = 24 lectures plus some classes where appropriate, (1) = 12-18 lectures (including classes in some cases).
  * also included in the MSc in Social Statistics.
  0 also included in the MSc in Operational Research.
  + only one of these options will be available

Other programs related to Statistics