Develop programming skills and the ability to “data wrangle” and visualise data. Understand and implement some commonly used data structures.

Upon successful completion of FHEQ Level 4 of BSc Economics, Finance, and Data Science programme students will:
• Comprehend a range of microeconomic concepts and modelling frameworks and be able to competently apply them to analyse a range of decision problems of consumers and firms, using appropriate quantitative methods, and to evaluate the effects of economic policy on decisions and outcomes.
• Structure and solve economic and finance problems in mathematical format, as well as to interpret these mathematical solutions in terms of their “real world” economic context. Understand and utilise statistical inference to in the context of economics and finance, including probability distributions, confidence intervals, hypothesis testing and correlation analysis.
• Develop programming skills and the ability to “data wrangle” and visualise data. Understand and implement some commonly used data structures.
• Demonstrate knowledge and understanding of core macroeconomic, accounting and financial concepts and principles with reference to real life applications. Use basic statistical and computational techniques to produce and analyse macroeconomic, financial and accounting data and apply basic problem-solving skills and mathematical techniques to analyse basic macroeconomic and financial models.
• Develop intellectual, cognitive and transferable skills such as communication and analysis of data, theory and evidence.
• Apply innovative and creative thinking and problem-solving skills to complex, ambiguous, uncertain, and systemic problems. Explore, define and reframe problems, and generate solutions or alternative approaches for existing ones