Teaching Responsibility
LJMU Schools involved in Delivery:
Liverpool Business School
Learning Methods
Lecture
Seminar
Module Offerings
7004LBSIBM-JAN-MTP
7004LBSIBM-SEP-MTP
Aims
In this module, students will learn a comprehensive range of research methods and business analytics techniques to develop their research skills, numerical literacy and qualitative analysis. By the end of the module students will know how to apply both quantitative and qualitative data collection and analysis techniques. This will equip students with the knowledge and practical skills necessary to conduct research and analysis at Masters’ level and prepare students for completing a Masters Dissertation and level 7 Consultancy Project.
Learning Outcomes
1.
Demonstrate an understanding of the principles behind, and relative merits of, a range of analytical tools and methods to source, process, evaluate and report numerical data.
2.
Critically evaluate requirements of a Masters level research issue/problem and design and plan an appropriate research and analysis strategy to investigate the problem/issue.
3.
Demonstrate an understanding of the ethical implications of the research and analysis strategy being proposed.
4.
Articulate the differences between various methodological approaches and support the proposed research and analysis strategy with accurately referenced literature and credible research-related sources.
Module Content
Outline Syllabus:
Foundations of business analytics: research design, data processing and quality assurance
Descriptive and inferential statistical analytics
Moving beyond the model: meaning and interpretation of analytics
Communicating business analytics: data visualisation and infographics
Familiarity with particular software (e.g., Excel / SPSS / NVivo)
Qualitative and quantitative methods (questionnaire and interview design) and different analytical approaches to qualitative and quantitative data.
Ethical considerations in business research, relevant to both primary and secondary research
Foundations of business analytics: research design, data processing and quality assurance
Descriptive and inferential statistical analytics
Moving beyond the model: meaning and interpretation of analytics
Communicating business analytics: data visualisation and infographics
Familiarity with particular software (e.g., Excel / SPSS / NVivo)
Qualitative and quantitative methods (questionnaire and interview design) and different analytical approaches to qualitative and quantitative data.
Ethical considerations in business research, relevant to both primary and secondary research
Module Overview:
Students will learn a comprehensive range of research methods and business analytics techniques to develop their research skills, numerical literacy and qualitative analysis.
By the end of the module students will know how to apply both quantitative and qualitative data collection and analysis techniques. This will equip students with the knowledge and practical skills necessary to conduct research and analysis at Masters' level and prepare students for completing a Master's Dissertation and level 7 Consultancy Project.
Students will learn a comprehensive range of research methods and business analytics techniques to develop their research skills, numerical literacy and qualitative analysis.
By the end of the module students will know how to apply both quantitative and qualitative data collection and analysis techniques. This will equip students with the knowledge and practical skills necessary to conduct research and analysis at Masters' level and prepare students for completing a Master's Dissertation and level 7 Consultancy Project.