Assessment repository for CST7001 — Research & Professional Practice, part of the MSc Data Science programme (Semester 2, 2024–25).
This module develops critical research skills, academic writing competencies, and professional awareness in the context of data science and computing. It prepares students for independent research at MSc level and for professional roles in the data industry.
Independent research report on a data science topic, applying rigorous academic research methodology, critical analysis, and scholarly writing.
| File | Description |
|---|---|
st20310831 CST7001 WRIT1.pdf |
Individual written research report |
Group presentation communicating research findings and professional insights to an academic and industry audience.
| File | Description |
|---|---|
st20289889, st20310831, st20308577, st2306536 CST7001 PRES1.pptx |
Group presentation slides |
Research & Professional Practice bridges academic and industry worlds. Key topics include:
- Research methodology and literature review techniques
- Academic integrity, referencing (APA/Harvard), and scholarly writing
- Ethics in data science and AI — bias, privacy, and responsible AI
- Professional development: CV, portfolios, and industry networking
- Communicating data science to diverse audiences
- Preparing for postgraduate-level independent research (dissertation)
Student ID: st20310831 | MSc Data Science | 2024–25