BSc Finance: Data Science
Entry requirements
A-Level: AAB IB: 34/665 BTEC: DDD
About this course
BSc in Finance: Data Science, a finance degree centred on business, management, accounting and economics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Financial Analysis, Accounting, Policy Analysis, Critical & Analytical Thinking, Ethics & Professional Practice, Artificial Intelligence & Machine Learning and Global & Comparative Perspective. Students can select optional topics including artificial intelligence, bitcoin and machine learning. The first year covers core foundations through modules such as Introduction to Financial Accounting, Statistical Methods for Accounting and Finance, Introduction to Econometrics and Economic Principles. The second year builds upon this knowledge with modules including Corporate Finance, Ethics and Corporate Governance, Investment Practice and Financial Reporting and Analysis. Optional modules allow students to explore subjects such as econometrics, data science in economics, quantitative methods and business analytics in practice.
Modules
- Introduction to Financial Accounting
- Statistical Methods for Accounting and Finance
- Introduction to Econometrics
- Economic Principles
- Introduction to Data Science in Economics
- Finance and Investment
- Introduction to Business and Management
- Corporate Finance
- Ethics and Corporate Governance
- Investment Practice
- Financial Reporting and Analysis
- FinTech in Investment Management
- Econometrics
- Data Science in Economics
- Quantitative Methods
- Business Analytics in Practice