BSC (HONS) DATA SCIENCE & BUSINESS ANALYTICS

The programme aims to:

• develop competence in students in the application of statistical and machine learning techniques at a high level.
• provide students with a sound knowledge of the principles underlying standard applications of probability and statistics.
• provide practical skills of applied data science and business analytics to inform commercial and policy decisions.

A student will be able to:

• formulate and build statistical and algorithmic models in a logical manner.
• understand, formulate and use quantitative models arising in social science, business and other contexts.
• understand probability theory and the concept of uncertainty.
• demonstrate a knowledge and understanding of prediction, classification, regression and clustering.
• show a good knowledge and understanding in advanced areas of statistics.
• learn and use a variety of statistical software packages and the programming language R and Python to conduct data analysis.
• apply advanced quantitative techniques to the analysis of large and complex data.

A student will be able to:

• locate, extract, analyse and draw reasoned conclusions from multiple sources (including electronic sources) of appropriate literature and relevant data and acknowledge and reference these sources appropriately.
• critically analyse data and text using quantitative and qualitative techniques.
• assess the relative merits of quantitative methodologies and use them appropriately for the problem in hand.

A student will be able to:

• communicate effectively in a written context;
• use information technology (spreadsheets, word-processing and online databases) appropriately.
• organise information, and to assimilate and evaluate competing arguments and methods.
• manage their own learning, including working effectively to deadlines.
• be open minded and have a capacity to handle ideas and scrutinise information in critical, evaluative and analytical ways.