SHE level 11 SCQF credit points 15 ECTS credit points 7.5 Module code MMN330819 Module Leader Mauricio Silva School Glasgow School for Business and Society Subject Finance and Accounting Trimester A (September start), B (January start), C (May start), A (September start), B (January start)
Summary of content The aim of this module is to provide students with the necessary skills and knowledge undertake quantitative research projects in Finance and Analytics. It was designed to provide students with a critical understanding of financial and analytical research in a business context and the technical skills essential for quantitative research. This mainly includes themes in the fields of econometrics and statistics that will enable them to pursue advanced research in emerging topics in the finance and analytics literature. The module will focus on developing applied skills that are also critical to their professional development in various industries, including but not limited to statistical computing skills, and fundamental mathematical concepts for business analytics, finance and investment.
Module details Syllabus arrow_forward Foundations and Research Design
Learning outcomes arrow_forward On successful completion of this module, students should be able to:
Teaching / learning strategy arrow_forward The teaching and learning strategy combines lectures and practical lab sessions to provide students with foundational knowledge, demonstrate its application, and develop essential skills. Lectures present fundamentals theory and concepts within the framework of the most recent academic literature in the topic. This in turn is applied to emerging issues in business and finance and presented as tasks, activities, and problems that will help students to develop quantitative analysis techniques using the latest software applications. The strategy allows students to select and evaluate business and financial analysis tools as they apply them to decisions currently being considered by market participants. Lab sessions provide an opportunity to apply the knowledge acquired in lectures (and self-managed study) and acquire skills to organise, manipulate, analyse. and evaluate data through software applications commonly used in industry. As the taught component is progressively complex, continuous assessment will help students to monitor their progress. An essential component of this module's teaching and learning strategy is self- managed learning. Each topic is supplemented with directed reading from academic journals and problem-solving assignments to support student's learning and focus. Support and guidance are provided in the lab sessions in addition to providing help in developing the ability to critically evaluate technical and econometric methods employed by practitioners in business analytics and finance.
Transferrable skills arrow_forward 1.Understand the implications of research methodologies and theories in Business Analytics and Finance and how these differ from other disciplines
Module structure Activity Total hours Lectures 22 Tutorials 0 Practicals 11 Seminars 0 Independent Learning 93 Assessment 24 Placement 0
Assessment methods Component Duration Weighting Threshold Description Course Work001 40 45 CW1: 4 x 1 hour in-class tests Course Work002 60 45 CW2: Research Proposal (2,500 words)
