Finance and Data Analytics

University of Liverpool

In choosing to study this course, you will receive rigorous training in areas such as econometrics for finance, programming with Python, theoretical finance, and computational methods. You will have the opportunity to study cutting- edge topics such as data mining, machine learning, financial data visualisation, and financial technology. You will be able to combine your knowledge of finance, programming in Python, and analytics to solve finance problems and generate insights. The BSc Finance and Data Analytics blends together the areas of finance and data analytics and equips you with the knowledge, skills, and abilities to follow a range of careers, e.g. finance and consulting.The first year equips you with the foundational knowledge of finance and introduces you to Python, the programming language. The second year develops your understanding of advanced finance theories and their implications for the industry. You will learn to use Python and industry-leading datasets to empirically test finance theories. You will also learn to use data visualisation techniques to communicate your insights with the audience.During the third year, you will deepen your knowledge of the finance industry and have the opportunity to take cutting-edge modules such as Data Mining and Machine Learning. You will also develop a range of transferable skills, including flexibility, problem-solving ability, commercial awareness, and communication, which are highly valued by employers.Studying Finance with Data Analytics at Liverpool will enable you to reach your full potential as you will benefit from our range of industry links and research expertise in addition to being exposed to our cutting-edge curriculum, the state-of-the-art computer room, and innovative teaching methodologies.