Dissertation

SOST65000 Dissertation 60 Full year Postgraduate Taught Level 7 Tina Hannemann Unit coordinator 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 30.0 In this unit, students will showcase the skills acquired during the taught component of the MSc by planning, conducting and writing up an independent piece of research. In this unit, students will showcase the skills acquired during the taught component of the MSc by planning, conducting and writing up an independent piece of research. In this unit, students will showcase the skills acquired during the taught component of the MSc by planning, conducting and writing up an independent piece of research. <ul> <li>Articulate a specific, policy relevant research question in social science.</li> <li>Accurately apply specific quantitiative/statistical research methods.</li></ul> <ul> <li>Evaluate the theoretical context of a social statistics research question.</li> <li>Discriminate among various data sources to answer a specific, policy relevant research question.</li> <li>Identify adequate quantitiative methods to answer a specific, policy relevant research question.</li></ul> <ul> <li style="text-align: justify;">Undertake a thorough statistical/quantitative analysis and write a convincing research report.</li> <li>Adequately present statistical results via tables, figures, and visualisations and accurately interpret the results of those analysis.</li> <li>Write statistical code in a efficient way, producing readable and well documented code.</li></ul> <ul> <li style="text-align: justify;">Present research ideas suited to social research methods and statistics to a group.</li></ul> Analytical skills The dissertation aims to develop and strengthen skills such as problem identification, statistical sound analysis and interpretation of data, which are essential skills in the labour market for many industries. Especially skills in data management and data analytics are well sought after by future employers and will prepare the students for a variety of careers. Other Students will be writing statistical code to undertake preliminary descriptive analyses, followed by increasingly sophisticated statistical modelling. They will be using a variety of software, particularly R and Stata, which are both essential skills in the data science and academic job markets. In addition to this, students will be practicing presentation skills through the production of digital visualisations using specialised software. ProvisionalIn this unit, students will showcase the skills acquired during the taught component of the MSc by planning, conducting and writing up an independent piece of research. The unit does not involve any teaching. Students will have a minimum of 5 one-hour meetings, with project supervisor and 595 independent study hours. 0 Other 100% Formative Assessment<ul> <li>Dissertation plan to be completed for SOST70521 (500 words)</li></ul>Summative Assessment <ul> <li>Dissertation plan presentation (750 words) 5%</li> <li>Dissertation (9000 words, split as 60% text, 35% code, tables and figures) 95%</li></ul> Written feedback on the dissertation plan (completed for SOST70521) provided through Blackboard. Verbal feedback during presentation at student conference, or written feedback via Blackboard, or face-to-face meeting with supervisor. 120 credits in taught component of the program N Project supervision 5 0 595