BSc Business Analytics with Finance
City St George's, University of London
Entry requirements
A level: A (Maths) AA Grade 4 (C) in GCSE English Language or English Literature. IB: 35 points overall, with minimum 6 in Higher Level Maths and either Higher Level 4 or Standard Level 5 in English.
About this course
BSc in Business, Accounting and Finance, combining business analytics, data science, and financial management. Core topics include Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. The final year includes an Applied Research Project with industry sponsorship. A four-week Micro-placement is available as an elective after the second year.
Modules
- Finance and Investment
- Introduction to Management
- Mathematics for Business Analytics
- Data Visualisation
- Business Economics
- Statistics for Business Analytics
- Unsupervised Machine Learning
- Data Wrangling and Exploratory Data Analysis.
- Applied Business Intelligence
- Applied Natural Language Processing
- Financial Econometrics
- Supervised Machine Learning
- Predictive Analytics Knowledge Integration
- Scalable Analytics Methods
- Portfolio Theory and Investment Valuation
- Deep Learning.
- Data Management Systems
- AI-Powered Analytics
- Explainability of Analytics Methods
- Fintech in Banking and Finance
- Quantitative and Algorithmic Trading.
- Final Year Applied Research Project
- Spatial Analytics
- Consulting Research Methods for Business Analytics
- Micro-placements
- Summer Internship
- Advanced Econometrics and Forecasting
- Derivatives
- Network Analytics
- Change Management
- Embedding Innovation
- Financial Engineering
- The Role of Environmental, Social and Governance in Banking and Finance.