MPhil/PhD in Data, Networks and Society

Programme Code: RPDNS

Department: Media & Communications

For students starting this programme of study in 2017/18

Guidelines for interpreting programme regulations

These regulations apply to students entering in or after the 2017/18 academic year.

In addition to progressing with their research, students are expected to take the listed training and transferable skills courses. Students may take courses in addition to those listed, and should discuss this with their supervisor.

Year 1
Paper	Course number, title (unit value)
Training courses	Compulsory (examined): Any two of the following:
	MC402 The Audience in Media and Communications (0.5)
	MC408 Theories and Concepts in Media and Communications I (Key concepts and interdisciplinary approaches) (0.5)
	MC409 Media, Technology and Everyday Life (0.5)
	MC413 Information, Communication and Knowledge Systems (0.5) (not available 2019/20)
	MC418 Communication: Cultures and Approaches (0.5)
	MC424 Media and Communication Governance (0.5)
	MC425 Interpersonal Mediated Communication (0.5)
	MC430 Data in Communication and Society (0.5)
	MC433 Technology and Justice (0.5) ^#
	MC434 Digital Platforms and Media Infrastructures (0.5) ^#
	Plus:
	MC5M2 Advanced Methods of Research in Media & Communications (including Qualitative & Quantitative Analysis) (1.0)
	MC5M2 includes the following:
	MY551 Introduction to Quantitative Analysis (0.5)
	MY552 Applied Regression Analysis (0.5) ^#
	By agreement, the Methodology Institute components (MY551 and/or MY552) can be replaced by other, more advanced, statistics courses or an advanced qualitative course taught at the Methodology Institute. At least one half-unit course of statistics needs to be included.
	Optional (examined/not examined):
	Other graduate courses relevant to research subject and agreed with supervisor.
Transferable skills courses	Compulsory (not examined):
	MC500 Research Seminar for Media, Communications & Culture (0.0)
	Optional (not examined):
	LN988 Thesis Writing (0.0) ^#
	Modern Foreign Language courses offered by the Language Centre or other graduate seminars of relevance to research subject.
	Presentation requirements: At least one presentation annually in the following:
	MC500 Research Seminar for Media, Communications & Culture (0.0)
Year 2
Training courses	Optional (examined/not examined):
	MY530 Advanced Qualitative Research Workshops (0.0) ^#
	MY555 Multivariate Analysis and Measurement (0.5) ^#
	MY559 Special Topics in Quantitative Analysis: Quantitative Text Analysis (0.5) ^#
	ST416 Multilevel Modelling (0.5) ^#
	Other graduate courses relevant to research subject and agreed with supervisor.
Transferable skills courses	Compulsory (not examined):
	MC500 Research Seminar for Media, Communications & Culture (0.0)
	Annual Joint PhD Symposium for Second Years and above, at Goldsmiths, Westminster and City
	Optional (not examined):
	Other graduate seminars of relevance to research subject.
Year 3
Transferable skills courses	Optional (not examined):
	MC500 Research Seminar for Media, Communications & Culture (0.0)
Year 4
Research	Students are expected to complete their research.

# means there may be prerequisites for this course. Please view the course guide for more information.

Progression and upgrade requirements
Students will be required to submit a full Thesis Proposal of 10,000 words to their Thesis Committee by 1 June in their first year (part-time students can submit their Proposal by 1 March in their second year). This paper will include a substantive statement of the aims, theories and methods proposed for the thesis, a tentative chapter outline, an indicative bibliography and a timetable for its completion. Together with the examinations in Methods (MC5M2) and the other two chosen compulsory first year courses from the list above, this paper will form part of the evaluation process, and, together with an oral examination based on the Thesis Proposal, will determine whether students are permitted to upgrade from MPhil to PhD and continue into their second year.

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the . Changes to course and programme information for future academic sessions can be found on the .

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MPhil/PhD in Data, Networks and Society

Paper

Course number, title (unit value)