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<CourseUnit xmlns="http://www.manchester.ac.uk/CUICourseUnitDetails" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.manchester.ac.uk/CUICourseUnitDetails.xsd">
  <UnitCode Applicant="Y" Label="Unit code" Student="Y">
    <Code>CRIM70023</Code>
  </UnitCode>
  <UnitTitle Applicant="Y" Label="Unit title" Student="Y">
    <Title>Data, Evidence and Intelligence on FCC</Title>
  </UnitTitle>
  <MaxUnits Applicant="Y" Label="Credit rating" Student="Y">
    <Units>20</Units>
  </MaxUnits>
  <TeachingPeriods Applicant="Y" Label="Teaching period(s)" Student="Y">
    <Period>Variable teaching patterns</Period>
  </TeachingPeriods>
  <AcademicCareer Applicant="Y" Label="Academic career" Student="Y">
    <Value>Postgraduate Taught</Value>
  </AcademicCareer>
  <UnitLevel Applicant="Y" Label="Unit level" Student="Y">
    <Level>Level 7</Level>
  </UnitLevel>
  <StaffList Applicant="Y" Label="Teaching staff" RoleLabel="Course Unit Role" Student="Y">
    <StaffMember>
      <Name>Katie Benson</Name>
      <Role>Unit coordinator</Role>
    </StaffMember>
  </StaffList>
  <OfferedBy Applicant="Y" Label="Offered by" Student="Y">
    <OrganisationList>
      <Organisation>
        <OrgName></OrgName>
      </Organisation>
    </OrganisationList>
    <GroupList>
      <Group>
        <GroupName></GroupName>
      </Group>
    </GroupList>
    <FheqLevels>
      <FheqLevel>
        <LevelNumber>1</LevelNumber>
        <LevelName>FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' </LevelName>
      </FheqLevel>
    </FheqLevels>
    <Ects>
      <MaxUnits>European Credit Transfer &amp; Accumulation System Rating :   10.0</MaxUnits>
    </Ects>
  </OfferedBy>
  <MarketingOverview Applicant="Y" Label="Marketing Course unit overview" Student="">
    <Content>&lt;p&gt;This module teaches you about the processes and approaches that underpin the production of data, evidence and intelligence on financial crime and compliance, how you can go about undertaking your own empirical research on compliance, and how you can evaluate how robust and credible varying sorts of data are for informing company policies and strategies. This unit will enhance your knowledge, skills and confidence for designing, conducting and interpreting evidence-based research to complement the subject matter knowledge accumulated from your career experience and practice in compliance. On the unit we will introduce you to methods for measuring and understanding compliance related issues, as well as tools for evaluating whether policies on financial crime and compliance actually &amp;lsquo;work&amp;rsquo; in practice, what the impacts of any given policy are, and how you can ascertain whether such insights are robust and reliable (i.e., evidence-based policies vs. policy-based evidence). Your organisations will benefit from having senior managers with knowledge and expertise to ensure company policies and strategies are problem-oriented, evidence-based and evaluated over time to ensure optimum efficiency and impact.&lt;/p&gt;&lt;p&gt;Those with senior management functions will benefit from learning how to &amp;lsquo;make sense&amp;rsquo; of social scientific data and evidence, and to be critical in how you scrutinise research findings before evaluating whether they can form the basis of business strategies or feed into their decision-making responsibilities. In these terms, you will learn about the process of undertaking systematic and rigorous research that will enable you to design and direct the creation of evidence and intelligence for your business, as well as to interpret and assess the research findings of academics, NGOs and other social research outputs that may be of use to your business strategies and policies. This module enables you to bridge the gap between practice and science, providing you with the concepts, knowledge and ideas for interacting with statistics and research findings in the area of governance, compliance and financial crime. In addition, you will systematically acquire and understand a substantial body of knowledge which is at the forefront of an academic discipline or area of professional practice.&lt;/p&gt;&lt;p&gt;The module will provide the foundation for undertaking or understanding original empirical research (using quantitative and/or qualitative methodologies) that can form the basis of the (group) dissertation or for undertaking future independent research projects within your organisations. Such knowledge might also be useful for those looking to undertake a more advanced research degree (e.g., PhD, ProfDoc).&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</Content>
  </MarketingOverview>
  <UnitOverview Applicant="" Label="Course unit overview" Student="Y">
    <Content>&lt;p&gt;This module teaches you about the processes and approaches that underpin the production of data, evidence and intelligence on financial crime and compliance, how you can go about undertaking your own empirical research on compliance, and how you can evaluate how robust and credible varying sorts of data are for informing company policies and strategies. This unit will enhance your knowledge, skills and confidence for designing, conducting and interpreting evidence-based research to complement the subject matter knowledge accumulated from your career experience and practice in compliance. On the unit we will introduce you to methods for measuring and understanding compliance related issues, as well as tools for evaluating whether policies on financial crime and compliance actually &amp;lsquo;work&amp;rsquo; in practice, what the impacts of any given policy are, and how you can ascertain whether such insights are robust and reliable (i.e., evidence-based policies vs. policy-based evidence). Your organisations will benefit from having senior managers with knowledge and expertise to ensure company policies and strategies are problem-oriented, evidence-based and evaluated over time to ensure optimum efficiency and impact.&lt;/p&gt;&lt;p&gt;Those with senior management functions will benefit from learning how to &amp;lsquo;make sense&amp;rsquo; of social scientific data and evidence, and to be critical in how you scrutinise research findings before evaluating whether they can form the basis of business strategies or feed into their decision-making responsibilities. In these terms, you will learn about the process of undertaking systematic and rigorous research that will enable you to design and direct the creation of evidence and intelligence for your business, as well as to interpret and assess the research findings of academics, NGOs and other social research outputs that may be of use to your business strategies and policies. This module enables you to bridge the gap between practice and science, providing you with the concepts, knowledge and ideas for interacting with statistics and research findings in the area of governance, compliance and financial crime. In addition, you will systematically acquire and understand a substantial body of knowledge which is at the forefront of an academic discipline or area of professional practice.&lt;/p&gt;&lt;p&gt;The module will provide the foundation for undertaking or understanding original empirical research (using quantitative and/or qualitative methodologies) that can form the basis of the (group) dissertation or for undertaking future independent research projects within your organisations. Such knowledge might also be useful for those looking to undertake a more advanced research degree (e.g., PhD, ProfDoc).&lt;/p&gt;</Content>
  </UnitOverview>
  <Aims Applicant="Y" Label="Aims" Student="Y">
    <Content>&lt;p&gt;The unit aims to&amp;nbsp;teach students about the processes and approaches that underpin the production of data, evidence and intelligence on financial crime and compliance, how you can go about undertaking your own empirical research on compliance, and how you can evaluate how robust and credible varying sorts of data are for informing company policies and strategies.&lt;/p&gt;</Content>
  </Aims>
  <LearningOutcomes Applicant="Y" Label="Learning outcomes" Student="Y">
    <Content></Content>
  </LearningOutcomes>
  <Knowledge Applicant="Y" Label="Knowledge and understanding" Student="Y">
    <Content>&lt;p&gt;Students should be able to identify researchable questions for undertaking empirical research on financial crime and compliance&lt;/p&gt;</Content>
  </Knowledge>
  <IntellectualSkills Applicant="Y" Label="Intellectual skills" Student="Y">
    <Content>&lt;p&gt;Student should be able to appraise key debates in how we go about measuring and understanding compliance&lt;/p&gt;</Content>
  </IntellectualSkills>
  <PracticalSkills Applicant="Y" Label="Practical skills" Student="Y">
    <Content>&lt;p&gt;Student should be able to assess and critique compliance data to determine their credibility and use for business compliance policies&lt;/p&gt;</Content>
  </PracticalSkills>
  <TransferableSkills Applicant="Y" Label="Transferable skills and personal qualities" Student="Y">
    <Content></Content>
  </TransferableSkills>
  <EmployabilitySkillsList Applicant="Y" Label="Employability skills" Student="Y">
    <Skill>
      <SkillId></SkillId>
      <SkillDescription></SkillDescription>
    </Skill>
  </EmployabilitySkillsList>
  <Syllabus Applicant="Y" Label="Syllabus" Student="Y">
    <Content>&lt;p&gt;Syllabus&lt;/p&gt;&lt;p&gt;Week 1: Identifying Researchable Financial Crime and Compliance Questions&lt;/p&gt;&lt;p&gt;Week 2: Research Design and Strategy for Financial Crime and Compliance Research&lt;/p&gt;&lt;p&gt;Week 3: Designs and Methods for FCC Research&lt;/p&gt;&lt;p&gt;Week 4: Measuring Compliance &amp;ndash; The Challenges&lt;/p&gt;&lt;p&gt;Week 5: Consolidation Week&lt;/p&gt;&lt;p&gt;Week 6: Quantitative Approaches to Compliance Research&lt;/p&gt;&lt;p&gt;Week 7: Qualitative Approaches to Compliance Research&lt;/p&gt;&lt;p&gt;Week 8: Mixed Strategy Research and Compliance&lt;/p&gt;&lt;p&gt;Week 9: Making Sense of Compliance Data &amp;ndash; Corruption Statistics and Illicit Financial Flows&lt;/p&gt;&lt;p&gt;Week 10: Revision Week&lt;/p&gt;</Content>
  </Syllabus>
  <TeachingMethods Applicant="Y" Label="Teaching and learning methods" Student="Y">
    <Content>&lt;p&gt;Online, blended learning on the TNE (Transnational Education) e-learning platform with three optional residential visit to Manchester. Online learning materials will consist of a mixture of video and audio files alongside written text and instructions accompanied by interactive engagement activities and tasks.&lt;/p&gt;</Content>
  </TeachingMethods>
  <AssessmentMethods Applicant="Y" Label="Assessment methods" Student="Y">
    <IntroText> </IntroText>
    <Method>
      <MethodId>0</MethodId>
      <MethodName>Other</MethodName>
      <MethodWeight>100%</MethodWeight>
    </Method>
    <OtherDescription>&lt;p&gt;&lt;strong&gt;Summative Assessment 1: Research Questions - 800 words (worth 20%).&amp;nbsp; Written feedback will be provided.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;- You will be required to submit a research question for your proposed dissertation research. This question needs to be appropriate for empirical research and be appropriately practicable and sophisticated. Alongside the research question, you must submit a justification for the choice of question, drawing on academic and policy literature to support your chosen focus.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summative Assessment 2: Research Strategy and Design - 1500 words (worth 40%).&amp;nbsp; Written feedback will be provided.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;- You will be required to submit a research strategy and design for your proposed dissertation research. The strategy and design need to be implied by the identified research question and be logical and consistent with the type of research required to answer the research question. Alongside the chosen research strategy and design, you must submit a justification for your choices, drawing on the methodological literature to support your chosen focus.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Summative Assessment 3: Research Method(s), including Data Analysis - 1500 words (worth 40%).&amp;nbsp; Written feedback will be provided,&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;- You will be required to submit the chosen research method(s) for their proposed dissertation research. The chosen method(s) needs to consistent with the research question, strategy and design, and enable the collection of data to answer the proposed question. You should also discuss how you would analyse the data. Alongside the chosen research method, you must submit a justification for your choices, drawing on the methodological literature to support your chosen focus.&lt;/p&gt;</OtherDescription>
  </AssessmentMethods>
  <FeedbackMethods Applicant="Y" Label="Feedback methods" Student="Y">
    <Content></Content>
  </FeedbackMethods>
  <RequirementsList Applicant="Y" Label="Pre/co-requisites" Student="Y">
    <Requirement>
      <UnitCode></UnitCode>
      <UnitTitle></UnitTitle>
      <RequirementType></RequirementType>
      <Description></Description>
    </Requirement>
    <AdditionalRequirement>CRIM70023 FCC Online Condition (Programme 10177)</AdditionalRequirement>
  </RequirementsList>
  <AcademicPrograms Applicant="Y" Label="Academic programmes" Student="Y">
    <AcademicProgram>
      <Program></Program>
      <Plan></Plan>
      <Level></Level>
      <Requirement></Requirement>
    </AcademicProgram>
  </AcademicPrograms>
  <FreeChoice Applicant="Y" Label="Available as a free choice unit?" Student="Y">
    <Content></Content>
  </FreeChoice>
  <Accreditation Applicant="Y" Label="Accreditation" Student="Y">
    <Content></Content>
  </Accreditation>
  <RecommendedReading Applicant="Y" Label="Recommended reading" Student="Y">
    <Content>&lt;p&gt;Sayer, A. (2010) Method in Social Science Research. London: Routledge&lt;/p&gt;&lt;p&gt;Rorie, M. and van Rooij, B. (2022) (eds) Measuring Compliance: Assessing Corporate Crime and Misconduct Prevention. Cambridge: Cambridge University Press.&lt;/p&gt;&lt;p&gt;&lt;span style="font-size:14px;"&gt;For Information and advice on Link2Lists reading list software, see:&lt;/span&gt; &lt;a href="http://www.library.manchester.ac.uk/academicsupport/informationandadviceonlink2listsreadinglistsoftware/"&gt;http://www.library.manchester.ac.uk/academicsupport/informationandadviceonlink2listsreadinglistsoftware/&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;</Content>
  </RecommendedReading>
  <StudyHours Applicant="Y" Label="Study hours" Student="Y">
    <IntroText> </IntroText>
    <ScheduledHours Applicant="Y" Label="Scheduled activity hours" Student="Y">
      <ActivityHours>
        <ActivityType></ActivityType>
        <Hours>0</Hours>
      </ActivityHours>
    </ScheduledHours>
    <PlacementHours Applicant="Y" Label="Placement hours" Student="Y">
      <ActivityHours>
        <ActivityType></ActivityType>
        <Hours>0</Hours>
      </ActivityHours>
    </PlacementHours>
    <TotalHours Applicant="Y" Label="Independent study hours" Student="Y">
      <Hours>0</Hours>
    </TotalHours>
  </StudyHours>
  <Notes Applicant="Y" Label="Additional notes" Student="Y">
    <Content></Content>
  </Notes>
</CourseUnit>
