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Masters Degrees (Ontology)

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Our Master's programmes seek to develop knowledge, creativity and originality in one package - you. Each programme is a framework to help you to develop. Read more
Our Master's programmes seek to develop knowledge, creativity and originality in one package - you. Each programme is a framework to help you to develop:
a systematic understanding of knowledge;
a comprehensive understanding of techniques relevant to your area of study;
the key skills associated with critical awareness and evaluation.

As part of your development on the course, you will be increasingly expected to demonstrate that you can deal with complex issues in a systematic and creative manner and demonstrate self-direction and originality in problem solving.

Your studies on the course will cover:

Research Methods

This module will introduce methods of data collection and analysis when conducting empirical research. This research can take place in an organisational setting. Both in the private or the public sector. This module is essential preparation for the dissertation.

Enterprise Modelling

Cultivates skills and knowledge related to business, conceptual and software modelling. Example topics of study include different paradigms for modelling (including business services, processes and objects), techniques for modelling the business domain and business behaviour, the relationship between business modelling and software modelling and the use of the Unified Modelling Language (UML).

ERP Systems Theory and Practice

Examines the rationale, theories and practices around Enterprise Resource Planning systems (ERP) and develops the knowledge required to understand the forces driving ERP design and implementation. Example topics of study include enterprise systems strategy and rationale, issues of organisational implementation and business services, processes and functions from an ERP perspective. The module provides an introduction to the SAP R/3 environment and the practice of business process integration in that environment.

ERP Systems Deployment and Configuration

Examines the implications of implementing ERP systems in organisations and develops the key skills necessary to deploy and configure ERP systems. Example topics of study include business process improvement alongside enterprise systems configuration and configuration management (including Master Data Management, business services, processes and functions). The module examines practical aspects of configuration in the context of the SAP R/3 environment.

Service-oriented Architecture

Examines the organisational impact of service-oriented approaches and the technologies necessary for the successful implementation of enterprise and web services. Example topics of study include issues in creating and managing a system landscape based on services, architectural approaches to service-orientation and web service technologies (including semantic web services). Practical aspects of web service implementation are examined in the context of integration via the SAP Netweaver environment.

Data Management and Business Intelligence

Develops the knowledge and skills necessary to support the development of business intelligence solutions in modern organisational environments. Example topics of study include issues in data/information/knowledge management, approaches to information integration and business analytics. Practical aspects of the subject are examined in the context of the SAP Netweaver and Business Warehouse environment.

Systems project management

Develops a critical awareness of the central issues and challenges in information systems project management. Example topics of study include traditional project management techniques and approaches, the relations between projects and business strategy, the role and assumptions underpinning traditional approaches and the ways in which the state-of-the-art can be improved.

Semantic Integration Frameworks

Helps you develop a critical and practical understanding of concepts, standards and frameworks supporting semantic system integration, with a particular emphasis on the Semantic Web – the web of the future. Example topics of study include ontologies and their uses, ontology management and integration, inferencing and reasoning for and in semantic integration, as well as semantic integration standards such as RDF and OWL.

Dissertation

In addition, provided that you have reached an acceptable standard in the assessments and examinations, you may then undertake a dissertation. Work on a dissertation for this course will normally involve an in-depth study in the area of distributed information systems and computing (eg, a state-of-the-art review together with appropriate software development) and provides you with an excellent opportunity to demonstrate your expertise in this area to future employers or as a basis for future PhD study. Additionally, you can now work on an internship during your dissertation (see Special Features below).

Awards

A master's degree is awarded if you reach the necessary standard on the taught part of the course and submit a dissertation of the required standard. If you do not achieve the standard required, you may be awarded a postgraduate diploma or postgraduate certificate if eligible.

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Research profile. At the Centre for Intelligent Systems and their Applications (CISA) we enable computer systems to reproduce or complement human abilities, work with people, and support collaboration between humans. Read more

Research profile

At the Centre for Intelligent Systems and their Applications (CISA) we enable computer systems to reproduce or complement human abilities, work with people, and support collaboration between humans. We conduct world-leading research in the foundations of Artificial Intelligence (knowledge representation and reasoning, emergence of meaning, theory and ontology change, creativity, mathematical proof) and in intelligent collaborative systems (multiagent systems, social computation, scientific collaboration platforms, web semantics and linked data).

Our research methods are inspired by developing formal models of knowledge, reasoning, and interaction that can be used to understand and automate aspects of human intelligence, but are also understandable and usable to the human designers and users of AI systems.

To achieve this, we combine theoretical research into computational models, architectures, and algorithms with a strong element of applied research. This has led to a strong track record in using our methods to address real-world problems in healthcare, scientific collaboration, social computing, emergency systems, transportation, engineering, aerospace and others.

You'll find a wide range of research areas within CISA conducted in the four research groups the Institute currently hosts:

  • Agents and Multiagent Systems
  • Mathematical Reasoning
  • Planning & Activity Management
  • Data-Intensive Research

CISA includes one of the most innovative collaborations between research and business - our Artificial Intelligence Applications Institute (AIAI). Through its resources and the engagement of CISA staff and students in consultancy, training and joint projects, we help companies and government agencies to apply newly researched techniques.

Training and support

You will carry out research work within a research group under the guidance of a supervisor. You may also attend taught courses that are relevant to your research topic, as prescribed by your supervisor. You will be expected to attend seminars and meetings of relevant research groups. Periodic reviews of progress are conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

While your research studies are a perfect route to a career in academia, your degree could also take you into the commercial world of applied AI and collaborative systems.

Software developers using AI technologies are among those who rely on the insights of our research. NASA and animation company Pixar are just two of the organisations that have recently employed our graduates.



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This new and distinctive MRes aims to develop a systematic understanding and critical appreciation of alternative approaches, methodologies and paradigms of social science research. Read more
This new and distinctive MRes aims to develop a systematic understanding and critical appreciation of alternative approaches, methodologies and paradigms of social science research. It will develop fully trained and competent social science researchers, who are able to understand and use research techniques appropriate to their subject area as well as being conversant with approaches used by other social scientists.

The programme has a substantial theoretical and quantitative core but also delivers complementary qualitative training. This will provide an essential foundation for any working researcher, whether they are going on to do a PhD or otherwise engaged in research. The training will enable students to think through how they can use their knowledge and skills of advanced quantitative methods in different contexts and apply them to a variety of problems; and, progressively, to identify their own needs for training.

The MRes joins a suite of interdisciplinary training programmes that are part of the Economics and Social Research Council South West Doctoral Training Partnership. It is a joint initiative between the Universities of Bath, Bristol and Exeter. The course is delivered collaboratively; each semester one core unit is taught intensively, with time spent at each location. This collaborative delivery means that the expertise of academics at each institution can be made available to students from all three universities, enhancing the training capacity of each.

Programme structure

1. Research Design Methods and Skills (15 credits, mandatory): delivered over intensive sessions at each institution (Bath, Bristol, Exeter).
The main topics to be covered include: ontology and epistemology in social research; varieties of approaches to research design from different backgrounds; question design and formulation; criteria for evaluating research and strategies to enhance research quality; critical evaluation of different methodologies; preparing research proposals and communicating research.

2. Mathematics and Programming Skills for Social Scientists (15 credits, mandatory): delivered over intensive sessions at each institution.
The main topics covered are programming statistical and graphical techniques using R; dynamic programming and coding using Python; multi-level modelling theory and application using MLwiN.

3. Introduction to Qualitative Research in the Social Sciences (20 credits, mandatory): delivered at the home institution.
This unit aims to provide a philosophical appreciation of the underpinnings of qualitative research methods, to develop a critical understanding of the potential of various qualitative methodologies and key epistemological and methodological problems raised in qualitative methodologies.

4. Optional units
An appropriate range of optional units is provided at each institution to ensure students can take a full suite at their home institution should they wish to. Optional units may include substantive subject units of interest, or further methods units. At Bristol these may include: Big Data and Society; Spatial Data Analysis; Spatial Regression Modelling and GIS in R; and Explanation, Causation and Longitudinal Analysis. Students can also take options from across the Faculty of Social Sciences and Law, or from Bath and Exeter, subject to timetabling constraints.

5. Dissertation (60 credits, mandatory): An extended research project of between 10,000 and 15,000 words.

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This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. Read more
This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. The programme covers ontology, epistemology, quantitative and qualitative techniques, and advanced methods masterclasses alongside substantive courses in the area of criminology. All students also carry out an independent dissertation, putting into practice the methods and theoretical concepts they have been taught. The programme provides a particularly strong environment for theoretically informed, interdisciplinary and socially engaged research.

COURSE STRUCTURE

You take two compulsory modules, choose two option modules and write a 60-credit dissertation.

COMPULSORY MODULES

Intermediate Quantitative Social Research
Qualitative Social Research

INDICATIVE OPTION MODULES

Advanced Intellectual Property Law
Contemporary Issues in Criminal Justice
Crime and Control
Cultures of Human Rights
Equality and the Law
Film and Human Rights
Gender, Sexuality and Criminal Justice
Global Perspectives on Crime and Crime Control
Hate Crime
Healthcare and Human Rights
Human Rights in Britain
International Criminological Theory
International Rights of Minorities
Land, Law and Dispossession
Psychology of Law and Crime
Slavery, slaveries, enslavement : the Western experience
Social Justice
The International Economic Constitution
Youth Justice

DISSERTATION

Social Research Dissertation

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This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. Read more
This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. The programme covers ontology, epistemology, quantitative and qualitative techniques, and advanced methods masterclasses alongside substantive courses in the area of applied linguistics. All students also carry out an independent dissertation, putting into practice the methods and theoretical concepts they have been taught. The programme provides a particularly strong environment for theoretically informed, interdisciplinary and socially engaged research.

COURSE STRUCTURE

You take two compulsory modules, choose two option modules and write a 60-credit dissertation.

COMPULSORY MODULES

Intermediate Quantitative Social Research
Qualitative Social Research

INDICATIVE OPTION MODULES

Bilingualism
Corpus Linguistics
Introduction to Applied Linguistics
Language Teaching and Learning in Multilingual and Multicultural Contexts
Language, Culture and Communication
Neurolinguistics (level 7)
Psycholinguistics (level 7)
Second Language Acquisition

DISSERTATION

Dissertation

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This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. Read more
This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. The programme covers ontology, epistemology, quantitative and qualitative techniques, and advanced methods masterclasses alongside substantive courses in the area of law and legal studies. All students also carry out an independent dissertation, putting into practice the methods and theoretical concepts they have been taught. The programme provides a particularly strong environment for theoretically informed, interdisciplinary and socially engaged research.

COURSE STRUCTURE

You take two compulsory modules, choose two option modules and write a 60-credit dissertation.

COMPULSORY MODULES

Intermediate Quantitative Social Research
Qualitative Social Research

INDICATIVE OPTION MODULES

Advanced Intellectual Property Law
Crime and Control
Cultures of Human Rights
Equality and the Law
Film and Human Rights
Futures: The Globalization of Human Rights
Gender, Sexuality and Criminal Justice
Global Perspectives on Crime and Crime Control
Hate Crime
Healthcare and Human Rights
Human Rights in Britain
International Rights of Minorities
Issues in International Law and Human Rights
Land, Law and Dispossession
Psychology of Law and Crime
Slavery, slaveries, enslavement : the Western experience
Social Justice
The History and Philosophy of Human Rights
The International Economic Constitution
Youth Justice

DISSERTATION

Social Research Dissertation

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This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. Read more
This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. The programme covers ontology, epistemology, quantitative and qualitative techniques, and advanced methods masterclasses alongside substantive courses in the area of gender and sexuality. All students also carry out an independent dissertation, putting into practice the methods and theoretical concepts they have been taught. The programme provides a particularly strong environment for theoretically informed, interdisciplinary and socially engaged research.

COURSE STRUCTURE

You take three compulsory modules, choose one option module and write a 60-credit dissertation.

COMPULSORY MODULES

Intermediate Quantitative Social Research
Qualitative Social Research
Theorising Gender

INDICATIVE OPTION MODULES

Africa in the European Imagination
Culture, Community, Identity
Disciplining Sex: Sexuality, Society and Nineteenth-Century Literary Culture
Gender and Development
Gender and Sexuality in Contemporary Japanese Fiction
Madness and its Meanings
Men and Masculinities in Contemporary East Asia
Queer Histories/Queer Cultures

DISSERTATION

Social Research Dissertation

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This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. Read more
This is an interdisciplinary social science training programme designed to prepare students for further research in the workplace or for MPhil/PhD study. The programme covers ontology, epistemology, quantitative and qualitative techniques, and advanced methods masterclasses alongside substantive courses in the area of psychosocial studies. All students also carry out an independent dissertation, putting into practice the methods and theoretical concepts they have been taught. The programme provides a particularly strong environment for theoretically informed, interdisciplinary and socially engaged research.

COURSE STRUCTURE

You take two compulsory modules, choose two option modules and write a 60-credit dissertation.

COMPULSORY MODULES

Intermediate Quantitative Social Research
Qualitative Social Research

INDICATIVE OPTION MODULES

Culture, Community, Identity
Education, Globalisation and Change
Education, Power and Resistances
Lacanian Psychoanalysis: Theory and Practice
Psychoanalysis and Culture
Psychoanalysis and History
Texts and Interpretation
Theories and Sites of the Psychosocial
Violence, Conflict, Genocide: Dilemmas of the Present
Visual Culture: Power and the Image

DISSERTATION

Social Research Dissertation

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This course is designed for computer science, informatics and IT professionals who want to pursue a career in which advanced research skills may be useful. Read more

This course is designed for computer science, informatics and IT professionals who want to pursue a career in which advanced research skills may be useful. It is most suitable for experienced or emerging professionals and is ideal if you wish to advance your knowledge of business performance and how it is supported by information technology.

What you study

The course is structured to give you advanced level research skills specifically relevant to the IT discipline, together with a framework for developing your knowledge of how organisations seek to use IT for transformation and innovation.

On the course you examine the relationships between corporate strategy, business models, services and process models, performance, risk and value management, and computer technology. You discover how enterprise systems can be integrated with strategic and tactical business decision-making as well as data analytics and processing. You also learn about emergent technologies such as smart applications driven by artificial intelligence and robotic process automation.

Throughout your work, questions will emerge and you will be able to identify topics to research based on what you have studied. You take three modules that reflect your area of specialism or that provide you with important background knowledge. You also learn about research techniques from which you conduct your preliminary research study and dissertation.

Throughout the course you benefit from a strong underpinning focus on computer science and informatics.

Industry partnerships

The course has been designed in consultation with LEADing Practice, an Enterprise Standards body whose models are integrated into enterprise software products of SAP™, IBM™, iGrafx™ and LEADing Practice’s Enterprise+. This professional, vendor-neutral standards body brings to bear its invaluable experience to the course, having worked with over 4,600 industry practitioners.

In addition, you are taught by leading research-active academics and industrial practitioners. Eminent contributors and guest speakers enhance your learning by exposing you to theoretical knowledge and real-world case studies. This may include industry professionals such as the founder of Enterprise Architecture, John A. Zachman. Further support comes from the Global University Alliance (GUA), a consortium with more than 450 academic institutions in its membership. Both LEADing Practice and the GUA work with other standards bodies such as the OMG, ISO, IEEE, CEN, and W3C. All this knowledge is uniquely brought together in this course to provide you with industry expertise and connections.

As a result the course helps to raise your professional profile with your existing or prospective employer and enables you to pursue a career where advanced research skills are may be useful, including those appropriate for doctoral study.

Course structure

The course is designed as study blocks so that you attend for two weeks in October then two weeks in January in the academic year. The remaining time you engage in pre-reading, and work on your assessments including a preliminary research study and your research dissertation.

Modules:

  • research methods for computer science and informatics (15 credits)
  • strategy, transformation, innovation and organisational dynamics (15 credits)
  • enterprise systems, models and architectures (15 credits)
  • enterprise ontology and semantics (15 credits)

you then undertake the following two modules in which you engage with your agreed research topic with close supervision

  • preliminary research study (60 credits)
  • the research dissertation (60 credits)

Assessment

  • coursework

Employability

On completion of the course you should be able to demonstrate the most relevant ways that computers can help organisations achieve their goals.

You may aim to pursue studies at PhD level, or develop your skills as an industrial practitioner in enterprise modelling, engineering or architecture.

You can join the LEADing Practice open source standard development community – more than 4600 practitioners who work across all sectors of industry. The MRes enables you to become certified as a LEAD Transformation eXpert as well as a LEAD Business Architect.

With such a wide variety of options, you can expect a fulfilling career leading to a senior technological or business role.



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Why study at Roehampton. You can choose to complete this programme as a PGC, PGD or MA. This programme is suitable for students completing research in Business, Education or Social Science. Read more

Why study at Roehampton

  • You can choose to complete this programme as a PGC, PGD or MA.
  • This programme is suitable for students completing research in Business, Education or Social Science.
  • Roehampton has been ranked the most research-intensive modern university in the country (REF 2014).
  • External assessors have rated the innovative "general research skills" module very highly and commented favourably on the assessment mix.
  • The course has 1+3 recognition from the Economic and Social Research Council.

Course summary

This course is perfect if you are looking to embark on a successful career as a researcher or academic and will provide you with the necessary training as part of your study for your MPhil/PhD.

The course is distinctive in providing students with an exciting opportunity to develop expertise in a range of both quantitative and qualitative research methods of data collection and analysis with a focus on their application to real-world issues.

The course has 1+3 recognition from the Economic and Social Research Council. Only three Education Departments in post-92 universities have this prestigious kitemark.

In order to enhance your engagement with the issues to be examined, and to allow flexibility over how you manage your time, the Social Research Methods programme will be delivered through weekly sessions in the Autumn and Spring semesters supplemented by tutorial support available (both face-to-face and electronically). Evening sessions are provided for part-time students.

Content

All three levels of the programme will include an introduction to the processes and issues involved in designing a quantitative or qualitative research project. You will also undertake modules that will introduce you to the methods of quantitative (including use of SPSS) and qualitative (including use of CAQDAS) research, giving you the skills and confidence to use these approaches to data collection and analysis in your own research.

If you progress to do a PGD or MA you will also explore the philosophy of social science research where you will examine the relationship between epistemology, ontology and methodology. Furthermore, you will explore concepts that underpin educational and social research including empiricism, rationalism, hermeneutics, feminism, post-modernism and critical realism and critique their relation to objectivity, causation, and validity.

You will also focus on key elements of the Research Councils’ Joint Statement of Skills Training for Research Students. You can then choose to study interpretations of the concept of education - and their implications for research - and the role of values in educational theory and research methodologies, or the basic theoretical concepts in social theory, with a particular emphasis on sociology and social policy.

Masters students will complete a dissertation in an area of their choosing in the fields of education or the social sciences.

The PG certificate course addresses core features of social research methods, focusing on different forms of data and how they can be collected and analysed. MA-level study is aimed at students who either want a discrete research-based MA or want to run a pilot study for an MPhil/PhD research project.

Modules

The following is a list of modules that you need to take to complete the different awards: 

PGCert

  • The Design of Social Research
  • Qualitative Research Methods of Data Collection & Analysis
  • Quantitative Research Methods of Data Collection and Analysis

PGDip

  • All of the PGC modules and
  • Philosophy of Social Science Research
  • General Research Skills

plus one of two optional modules:

  • Educational Research & the Social Sciences
  • Social Theory and Social Research

MA

  • All of the PGD modules and
  • Dissertation

Career options

This is THE course for those wishing to be employed in the research field of education and/or social sciences.

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The. MSc Computer Science. is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society. Read more

The MSc Computer Science is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is particularly suited to those looking to continue in academia or use their expertise commercially in any sector.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Group development project
  • Advanced computer science project

Optional modules can include;

  • Logic, ontology and knowledge representation
  • Nature-inspired computation
  • Research methodology
  • Machine learning and statistics
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • From data to decisions
  • Data in business and society
  • High performance computing and data architectures
  • Social networks and text analysis
  • Advanced machine learning and statistics
  • M-level modules in mathematics
  • ECM34xx modules in Computer Science

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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MSc Computer Science with Business. combines core Computer Science modules with modules in Management, Strategy, Marketing and Accounting. Read more

MSc Computer Science with Business combines core Computer Science modules with modules in Management, Strategy, Marketing and Accounting. This course is taught in partnership between the College of Engineering, Mathematics and Physical Sciences and the University of Exeter Business School. This blend of business and science is designed for students wanting management or leadership roles working with data.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is suited to those looking to use their expertise commercially in any sector, particularly in management or leadership roles.

Your project, which forms a major part of the MSc, will maintain a business focus as you explore data science in a commercial environment.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Group development project
  • Computer science business project

Optional modules can include;

  • Managing operations
  • Strategic innovation management
  • Strategy
  • Marketing Strategy
  • Accounting for international managers
  • Logic, ontology and knowledge representation
  • Nature-inspired computation
  • Research methodology
  • Machine learning and statistics
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • From data to decisions
  • Data in business and society
  • High performance computing and data architectures
  • Social networks and text analysis
  • Advanced machine learning and statistics
  • M-level modules in mathematics

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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Why this course?. The MSc Applied Gender Studies degree at Strathclyde is a Master’s level course for those who wish to study how gender ‘works’ in relation to other structural inequalities such as race, sexuality, class and disability within society. Read more

Why this course?

The MSc Applied Gender Studies degree at Strathclyde is a Master’s level course for those who wish to study how gender ‘works’ in relation to other structural inequalities such as race, sexuality, class and disability within society.

If you wish to pursue a career in the charitable, education, government or civil service or the heritage sectors then this course is ideally suited to you. It will also appeal to those who may already be working within an organisation with a strong interest in gender in society.

For those who are interested in pursuing a more research focussed option the MSc Applied Gender Studies can also be taken as a Research Methods route. This allows graduates to meet the criteria for ESRC funding, an important factor if you plan to go on to PhD study in the Social Sciences.

By completing this course you will develop the analytical and practical skills necessary to engage critically with contemporary gender issues including:

  • gender theory 
  • gender equality
  • feminist theory
  • queer theory
  • LGBT studies
  • gender & society

A key focus of this course is how these concepts can be applied within real-world contexts. You will have the opportunity to gain first-hand experience working on a research project with an external organisation from the feminist third sector and organisations committed to gender equality in arts, culture and sport.

Glasgow has a diverse range of key women’s and equalities organisations in the city. The University of Strathclyde has particularly strong links with the Glasgow Women’s Library, the only accredited museum in the UK dedicated to women’s lives, histories and achievements. You'll benefit from access to the unique archival collections held by the Library as part of this course.

What you’ll study

Gender studies is a multi-disciplinary field dealing intersectionally with various social and cultural dimensions.

Reflecting this, the MSc Applied Gender Studies combines interdisciplinary core courses on gender theory, feminist research and the history of feminist thought, with optional classes within a range of disciplinary traditions.

Strathclyde has particular strengths in feminist and queer approaches within Journalism and Media Studies, English Literature, History, Creative Writing, Education, Politics and International Relations, Criminology and Social Policy.

This course comprises of three core courses:

  • Understanding Gender
  • Feminist Knowledge, Feminist Research
  • Feminisms – Continuity & Change

These core modules focus on providing students with an interdisciplinary frame for the critical study of gender that is underpinned by feminist theory and acknowledges the ways in which gender informs – and is informed by – other structural inequalities.

Understanding how feminist theory, research and activism has developed over time is a key element of the degree, and our core courses include visits to Glasgow Women’s Library to learn about feminist archiving and work with their original collections.

Collectively, these courses equip students with a knowledge and understanding of key feminist debates about ontology, epistemology and methodology, and enable them to identify both commonalities and differences in the ways these debates have been taken up in different disciplinary contexts over time.

Students also take three optional courses chosen from a range of modules. These are updated annually and may include:

  • Queer Global Literatures
  • Gender, Health and Modern Medicine
  • Diversity, Gender and Sexuality in Education
  • Feminism and International Relations
  • Transcultural Fandom and British Popular Culture
  • Italian Women Writers and the Anglophone Sphere

The Gender Studies Research Placement and Advanced Topics in Gender Studies options run every year. You'll also complete a Gender Studies dissertation. We're well placed to supervise projects aligned to a range of disciplinary interests and using diverse methodologies.

In addition to the MSc Applied Gender Studies, we also offer the MSc Applied Gender Studies (Research Methods) which is the recommended route for students intending to apply for a PhD in the Social Sciences.

Students on this programme take core modules Feminist Knowledge and Research, Advanced Topics in Gender Studies, Perspectives on Social Research, Quantitative Methods and Qualitative Methods.

Students following this route take only one of the optional courses listed above and similarly complete a dissertation.

Research placement

The Research Placement option provides students with the opportunity to put their Gender Studies learning and research training into practice in a real-world environment.

Students conduct a piece of research according to a brief produced in consultation with the host organisation.

The course team have established links with potential placement providers - in Glasgow and beyond - from the feminist third sector and a range of organisations committed to gender equality in arts, culture and sport.

Examples of organisations we have links with include Women in Journalism, Engender, Glasgow Women’s Library, Zero Tolerance, Rape Crisis Scotland, Women’s Support Project, Scottish Football Association, The Parliament Project and the National Union of Journalists.

Learning & teaching

The core courses are delivered in weekly seminars where there is an emphasis on student participation and engagement.

On both Feminist Knowledge, Feminist Research and Feminisms – Continuity and Change, some of our classes are held at Glasgow Women’s Library.

Assessment

The assessment is all in the form of coursework, with a range of assessments designed to allow students to demonstrate different research and writing skills.

All the core courses have more than one assessment point so that receiving and responding to feedback is built in to the course design. Optional modules are taught and assessed in a variety of ways.

On the Research Placement module, students will deliver their research in a form agreed in advance with the Placement provider so as to best meet their needs and provide the student with the opportunity to develop skills in delivering research in real world contexts.

Careers

The MSc Applied Gender Studies is a great route into working in the feminist third sector, or into equality and diversity work across a range of contexts.

We positively encourage part-time study and where students are already working in these areas there may be possibilities to conduct research for their placement and/or dissertation within their workplace.



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This programme provides practical, career-orientated training in social science research methods, including research design, data collection and data analysis relating to both qualitative and quantitative modes of inquiry. Read more

This programme provides practical, career-orientated training in social science research methods, including research design, data collection and data analysis relating to both qualitative and quantitative modes of inquiry.

Students will have the opportunity to specialise in particular methodologies and to learn more about the application of these methodologies to illuminate important issues and debates in contemporary society.

Course Details

The programme is designed to provide a fundamental grounding in both quantitative and qualitative research skills, along with the opportunity to specialise in more advanced training in quantitative research, qualitative research or in practical applications of research techniques.

CORE MODULES:

Semester 1

Approaches to Social Research (20 CATS)

This module offers an introduction to the different styles of social science research as well as guidance and illustrations of how to operationalize research questions and assess them empirically. Students will be shown how to conduct systematic literature searches and how to manage empirical research projects. The module will also explore issues around the ethics of social science research as well as the connection between social science research and policy concerns. It is designed as preparation for undertaking postgraduate research and dissertation work.

Theory and Debates in Social Research (20 CATS)

This module aims to deepen students' understanding of key debates in social theory and research, providing advanced level teaching for those building upon basic knowledge and undertaking postgraduate research. It is designed to demonstrate and explore how social theory is utilised, critiqued and developed through the pursuit of social science research.

The Sources and Construction of Qualitative Data (10 CATS)

The purpose of this module is to illuminate the theoretical underpinnings of qualitative research. The module will discuss the impact of various theories on the nature and conduct of qualitative research particularly around questions of epistemology and ontology. The role of different types of interviewing in qualitative research will be utilised in order to explore the relationship between theory and methods.

The Sources and Construction of Quantitative Data (10 CATS)

The aim of the module is to provide a comprehensive overview of the theory and practice of measurement and constructing quantitative data in the social sciences. Through lectures and practical exercises, this module will provide students with relevant knowledge of secondary data sources and large datasets, their respective uses and usefulness, and their relevance for the study of contemporary social issues

Semester 2

Qualitative Data Analysis (10 CATS)

The module will provide students with an overview of different approaches to qualitative data analysis. It will include introductory training to this skill that includes such techniques as thematic analysis and discourse analysis, as well as computer assisted qualitative data analysis. It will provide the knowledge necessary for the informed use of the qualitative data analysis software package NVivo. The module gives students a base level introduction to the analytical and technical skills in qualitative data analysis appropriate to the production of a Master's dissertation and/or use of CAQDAS software for social science research purposes.

Quantitative Data Analysis: Foundational (10 CATS)

This module provides an introduction to the basics of quantitative data analysis. The module will begin with a brief review of basic univariate and bivariate statistical procedures as well as cover data manipulation techniques. The module is taught through a series of seminars and practical workshops. These two strands are interwoven within each teaching session. Please note that students may be granted an exemption from this module if they have already successfully completed a module that has the equivalent learning outcomes.

Quantitative Data Analysis: Intermediate (10 CATS)

This module advances students' confidence and knowledge in the use of SPSS. The module focuses on multivariate regression models, including the appropriate use and awareness of statistical assumptions underlying regression and the testing and refinement of such models.

Dissertation (60 CATS)

A dissertation of no more than 15,000 words on a topic relevant to social science research methods training. The thesis will involve either carrying out and reporting on a small social science research project which includes a full and considered description and discussion of the research methods employed or the discussion of a research issue or technique to a level appropriate for publication.

OPTIONAL MODULES (all 10 CATS)

We offer a range of advanced modules in quantitative and qualitative research methods, for example, logistic regression, internet-based research and visual research methods. We also provide specialist modules which reflect the teaching team’s diverse research interests, from the social logic of emotional life to conflict and change in divided societies. Optional modules generally run during the Spring semester and are offered subject to sufficient student demand and staff availability. Students will be able to choose a maximum of three to four option modules (depending on whether they need to complete Quantitative Data Analysis: Foundational). Please note that it is unlikely that all the following modules will be available for 2017/8. Please check with the Programme Director for queries about specific modules.

  • Advanced Qualitative Research Methods
  • Social Science Research Online
  • Visual Research Methods
  • Longitudinal Analysis
  • Advanced Quantitative Research Methods
  • Conflict and Change in Northern Ireland: New Sociological Research
  • Researching Emotions and Social Life
  • University Research and Civil Society Organisations


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Semantic Technologies is a relatively new term that describes all areas concerned with using and developing software and methodologies for meaning-centred manipulation of information. Read more

Semantic Technologies is a relatively new term that describes all areas concerned with using and developing software and methodologies for meaning-centred manipulation of information. The aim is to provide software and methodologies so that web resources, data in databases and raw data associated with programs can be processed and manipulated in a more intelligent way. This requires storing, understanding, manipulating and reasoning about the meaning of the data. Semantic technologies are increasingly being used in such varied applications as the semantic web, health care and biomedical domains, the life sciences, software/hardware industries and the automotive industry.

The Semantic Technologies pathway combines themes such as 'Data on the Web' with 'Ontology Engineering and Automated Reasoning'. These core offerings can be combined with any other theme. Good complementary themes are Data Engineering, Managing Data, Learning from Data, Security and Software Engineering.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

Students following the Semantic Technologies pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in software companies or for healthcare providers who are using or developing Semantic Technologies.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with a CEng accredited Bachelors programme.



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