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MSc Applied Epidemiology
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Objectives
The MSc in Applied Epidemiology is a new course for 2008-2009, designed to provide excellence in teaching of epidemiological and statistical concepts and methods, and the skills to apply epidemiological methods in public health and clinical settings. The course has a modular structure to meet a wide range of students’ needs and interests, for postgraduate students from both medical and non-medical backgrounds. Students may choose to study full-time over one year or part-time over a minimum of two years up to a maximum of four years.
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Academic title
MSc Applied Epidemiology
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Course description
Key facts
-Epidemiology is growing as a career path and graduates are increasingly in demand for health research in industry, government, non-government organisations and academia.
-Epidemiology has been taught for over ten years on our successful Masters in Public Health.
-We also offer a Postgraduate Diploma in Applied Epidemiology over up to 4 years
Course Content
The Masters programme has three major components:
-core modules related to the essential epidemiology / public health disciplines
-optional modules so that students develop individual interests and
-an extended project designed to integrate knowledge and skills acquired throughout the course.
Course Structure
You will need to complete a total of 180 credits for the Masters course - 90 credits’ worth of core modules, including the development of a project protocol, 30 credits of optional modules, and a 60-credit research dissertation.
Induction Week
The course starts in late September/early October, when all students are expected to attend the School's taught compulsory "Introductory Week" (Monday-Friday inclusive).
International students are also expected to attend the International Office Welcome Week (usually held the week before the School's Introductory Week) to help them to settle into Nottingham.
Teaching Days
Core modules are taught on Tuesdays, Wednesdays and Thursdays. Optional modules are taught on Wednesdays and Thursdays.
Full-time students attend on two or three days a week during the taught semesters depending on their optional module choices. Part-time students attend core modules on Tuesdays and/or Wednesdays in Year 1, and on Thursdays in Year 2.
Teaching Methods
Teaching and learning methods vary in line with the objectives of the course but include a range of methods from lectures to private study, and from guided and independent group exercises to problem-based and self-directed learning.
Use of the Internet, the virtual learning environment (WebCT) and email is expected, and appropriate training and support given. Students will also learn to use Stata statistical software.
Asessment Methods
Assessments vary, and include written assignments, analyses of data sets and reports on analyses. There are some timed examinations. Depending on the pathway you choose, you may also complete verbal or poster presentations. Some work is assessed as group work. Assessments may take place during timetabled sessions, but most are prepared by the students in their own time.
The Masters pass mark is 50%, and the pass mark for the Diploma is 40%.
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