University home > Unit and programme catalogues in 2022/23 > Programme catalogue > Faculty of Health Sciences > Bristol Medical School > Medical Statistics and Health Data Science.(MSc) > Specification
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Programme code | 8BRMS011T |
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Programme type | Postgraduate Taught Degree |
Programme director(s) |
Tom Palmer
|
Faculty | Faculty of Health Sciences |
School/department | Bristol Medical School |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Mode of study | Full or Part Time |
Programme length |
1 years (full time)
2 years (part time) |
This section sets out why studying this programme is important, both in terms of inspiring you as an individual and in considering the challenges we face. It describes how this degree programme contributes to:
As the student travels through the MSc programme, they will shift from an understanding of the core concepts in medical statistics and health data science at the start of the programme to more advanced concepts and application of these concepts to complex epidemiological and health data science problems by the end of the programme. In methodological terms, the first teaching block will introduce them to core methodology and statistical computer software concepts. Towards the end of the course, the student will build on these existing methodological skills to develop advanced statistical modelling skills.
The learning outcome statements shown below for your programme have been developed with reference to relevant national subject benchmarks (where they exist), national qualification descriptors (see the Framework for Higher Education Qualifications) and professional body requirements.
Teaching, learning and assessment strategies are listed to show how you will be able to achieve and demonstrate the learning outcomes.
This programme provides opportunities for you to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
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|
Lectures, practicals, exercises, seminars, data interpretation, group work, library study, discussions with tutor. |
Methods of assessment (formative and summative) | |
Formative assessment through data interpretation exercise, group work, presentations, quizzes, multiple choice questions, short answer questions, and critical appraisal exercises.
|
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
---|---|
|
Lectures, practicals, exercises, seminars, data interpretation, group work, library study, discussions with tutor. |
Methods of assessment (formative and summative) | |
Formative assessment through data interpretation exercise, group work, presentations, quizzes, multiple choice questions, short answer questions, and critical appraisal exercises. |
Programme Intended Learning Outcomes | Learning/teaching methods and strategies |
---|---|
|
Lectures, practicals, exercises, seminars, data interpretation, group work, library study, discussions with tutor. |
Methods of assessment (formative and summative) | |
Formative assessment through data interpretation exercise, group work, presentations, quizzes, choice questions, short answer questions, and critical appraisal exercises. |
This section describes what is expected from you at each level of your programme. This illustrates increasing intellectual standards as you progress through the programme. These levels are mapped against the national level descriptors published by the Quality Assurance Agency.
Level M/7 - Postgraduate Certificate |
Students are expected to successfully complete a total of 60 credits. |
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Level M/7 - Postgraduate Diploma |
Students are expected to successfully complete all of the taught modules gaining a total of 120 credits. |
Level M/7 - Postgraduate Masters |
Students are required to successfully complete all the taught modules (120 credits) and carry out and present in the form of a written dissertation and oral or poster presentation (60 credits) a research project in a topic relevant to medical statistics and/or data science. |
For information on the admissions requirements for this programme please see details in the postgraduate prospectus at http://www.bristol.ac.uk/prospectus/postgraduate/ or contact the relevant academic department.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Introduction to Statistical and Epidemiological Methods | BRMSM0055 | 20 | Mandatory | TB-1 |
Regression Models | BRMSM0056 | 20 | Mandatory | TB-1 |
Applied Health Data Science | BRMSM0057 | 20 | Mandatory | TB-1 |
Advanced Statistics | BRMSM0058 | 20 | Mandatory | TB-2 |
Advanced Epidemiology | BRMSM0015 | 20 | Mandatory | TB-2 |
Study Design | BRMSM0059 | 10 | Mandatory | TB-2 |
Dissertation | BRMSM0009 | 60 | Mandatory | AYEAR |
Select from: | ||||
Molecular Epidemiology | BRMSM0037 | 10 | Optional | TB-2 |
Machine Learning and Data Mining for Health Data Science | BRMSM0060 | 10 | Optional | TB-2 |
180 |
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to exit from the programme with a postgraduate diploma or certificate.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
An award with Merit or Distinction is permitted for postgraduate taught masters, diplomas and certificates, where these are specifically named entry-level qualifications. An award with Merit or Distinction is not permitted for exit awards where students are required to exit the programme on academic grounds but is permitted in designated programmes (as set out in the programme specification) where students choose to withdraw from the intended programme but otherwise achieve the necessary credit points for the exit award.
The classification of the award in relation to the final programme mark is as follows:
Award with Distinction*: at least 65 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation. **Faculties retain discretion to increase these thresholds.
Award with Merit*: at least 60 out of 100 for the taught component overall and, for masters awards, at least 60 out of 100 for the dissertation. Faculties retain discretion to increase these thresholds.
* The MA in Law has separate regulations for awarding distinction and merit.
** For the award of Distinction, the Faculty of Engineering requires at least 70 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to choose, or be required, to leave at the postgraduate diploma or certificate stage.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Introduction to Statistical and Epidemiological Methods | BRMSM0055 | 20 | Mandatory | TB-1 |
Regression Models | BRMSM0056 | 20 | Mandatory | TB-1 |
Advanced Epidemiology | BRMSM0015 | 20 | Mandatory | TB-2 |
Advanced Statistics | BRMSM0058 | 20 | Mandatory | TB-2 |
80 |
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
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