Professional Doctorate Data Science
Course Overview
Our Professional Doctorate in Data Science, the first industrial doctorate of its kind, equips you with cutting-edge, interdisciplinary research and practical skills for a high-level career in academia or industry. This unique program enhances employability through work-based learning and is jointly supervised by world-leading Stirling academics and industry experts from The Data Lab.
Key Program Highlights
- The first industrial doctorate of its kind, supported by The Data Lab
- Work-based learning model jointly supervised by leading academics and industry experts
- Designed to equip professionals with multi-disciplinary, practitioner-oriented research skills
- Provides experience with data science challenges across business, healthcare, and scientific fields
- Focus on planning, undertaking, and publishing impact-led, publication-quality research
Course Overview
Our Professional Doctorate in Data Science, the first industrial doctorate of its kind, equips you with cutting-edge, interdisciplinary research and practical skills for a high-level career in academia or industry. This unique program enhances employability through work-based learning and is jointly supervised by world-leading Stirling academics and industry experts from The Data Lab.
Key Program Highlights
- The first industrial doctorate of its kind, supported by The Data Lab
- Work-based learning model jointly supervised by leading academics and industry experts
- Designed to equip professionals with multi-disciplinary, practitioner-oriented research skills
- Provides experience with data science challenges across business, healthcare, and scientific fields
- Focus on planning, undertaking, and publishing impact-led, publication-quality research
Requirements
Modules
- Economics for Banking and Finance
- Bank Theory, Operations and Strategy
- Corporate Finance
- Advanced Programming with Python
- Mathematical Foundations
- Representing and Manipulating Data
- Commercial and Scientific Applications
- Machine Learning
- Cloud Computing
- Blockchain Technologies
- Cyber Security
- Mathematical and Statistical Foundations
- Statistics and Networks Analysis in Data Science
- Digital Banking (Fin Tech) Technology and Innovation
- Investment Regulation and Ethics
- Financial Statement Analysis
- Investments: Equity Portfolios and Pricing
- Deep Learning for Vision and NLP
- Artificial Intelligence for Computer Vision
- Artificial Intelligence for Natural Language Processing
- Relational and non-Relational Databases
- Cluster Computing
- Statistics with R
- Mobile Financial Applications
- Modelling in Financial and Medical Systems
- Stochastic Processes and Optimisation
- Professional Doctorate First Stage
- Applied Research Project and Thesis
