BSc Business Analytics

This programme focuses on applying data-driven decision-making to core business functions using the University's specialist facilities. You will develop practical analytics skills through hands-on work with industry-standard software and real-world business datasets. This applied approach is delivered through:

• Specialist Business Analytics Facilities: Access to Kent Business School's Bloomberg Terminal Suite and the Trading Room, equipped with professional data analysis and financial modelling software.

• Industry-Standard Software: Practical work with analytics programming languages like Python and R, plus business intelligence tools such as Tableau and statistical packages.

• Substantial Final Year Project: A major research project where you apply business analytics techniques to a substantial organisational challenge, from data collection to strategic recommendations.

• Practical Case-Based Learning: Group projects using real business scenarios that simulate corporate analytics tasks and decision-making processes

The MSc Data Science and Analytics for Society at the University of Liverpool prepares graduates to apply quantitative and computational geographical methods with a focus on societal challenges. Graduates typically pursue careers where they use data science to inform decision-making in government, NGOs, consultancy, and research institutions:

• University of Liverpool career services offer tailored employment support, including career coaching, job fairs, networking events, and connections through university–industry partnerships specifically in data-driven sectors.

• Employment statistics show strong demand for data scientists, with competitive salaries often ranging above average graduate earnings in related fields.

• The program benefits from established collaborations with industry partners and public sector organizations, enhancing real-world learning and internship opportunities.

• The degree holds long-term value through professional accreditation and recognition in the data science and analytics community.

• Graduates commonly find employment in roles such as Data Analyst, Data Scientist, Geospatial Analyst, and Policy Advisor in data-centric organizations.

Further Academic Progression: Students completing this MSc can advance their studies by pursuing PhD research in data science, analytics, or related interdisciplinary fields with societal impacts or consider professional doctorates or certificates to specialize further in areas such as artificial intelligence, public policy data analytics, or geographic information systems (GIS) research.​