Physical, Mathematical, Computer and Life Sciences - Mathematical Sciences
The Honours programme is the first-year of Postgraduate study in the Statistical Sciences. This program encompasses statistical modelling and inference alongside quantitative management science, also known as operational research. The core of the programme offers the opportunity for in-depth study in statistical theory and operational research.
In addition to the core curriculum, learners have the flexibility to choose four modules. These modules can either focus on theoretical specializations (such as econometrics) or delve into application studies within specific problem areas (for example, finance).
The Honours programme not only provides training in concepts and research methods but also emphasizes the practical application of the theoretical knowledge gained. The goal is to equip candidates with the essential skills needed for employment in quantitative analysis roles within the public or private sectors. Furthermore, it prepares students for potential further studies, whether at a local or international level, at the Master's level in Statistics, Operational Research, or other related quantitative subjects.
Demonstrate knowledge of recent findings: Learners must showcase an understanding of the latest discoveries in their field of study.
Understand academic issues and controversies: Learners should be able to discuss and understand the key debates among academics in their discipline.
Technical competence: Proficiency in applying quantitative and computer-assisted problem-solving techniques is essential.
Engage with academic articles: Reading and discussing significant articles from relevant academic journals is required.
Literature search and catalogue raisonne: Constructing a comprehensive list of academic works on a specific subject matter is expected.
Apply knowledge to real-life situations: Utilizing specialist knowledge in practical commercial scenarios, both locally and globally.
Participate in normative discussions: Joining conversations on ethical issues related to research and business practices.
Project Requirement: Learners need to complete a project, usually involving the application of quantitative tools to a real-world problem in management or decision-making.
Project Process: From problem formulation to model building, learners will engage with stakeholders, review literature, gather data, and present recommendations.
Report Writing: The project report documents problem analysis, literature review, data, models, recommendations, and is presented to the original problem owner.
Presentation: Results are shared in a departmental seminar, open to staff, learners, and interested parties.
Assessment Criteria: Competence in problem analysis, literature review, model formulation, conclusions drawing, and result presentation are evaluated.
Assessment Methods: Formative assessment through continuous feedback from the project supervisor and summative assessment with an overall grade assigned to the completed project.
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