MSc Data Science and Analytics for Society

The MSc Data Science and Analytics for Society at the University of Liverpool offers students rich experiential learning opportunities by providing access to state-of-the-art facilities, advanced laboratories, and real-world projects that develop practical skills critical to computing innovation. Students work in dedicated labs equipped with advanced software platforms, high-speed computing networks, and specialized equipment such as servers, robotics kits, and embedded devices that support research and development in areas like algorithms, AI, and cybersecurity.

Experiential learning opportunities include:

• Access to five modern teaching labs with high-performance servers, embedded systems (Arduino, Xilinx Zynq), and robotics platforms such as Kilobot swarm robots, Aldebaran Nao, and Robo Builder.

• Use of software tools including Matlab/Simulink, LabVIEW, Visual Studio, and Virtual Reality interfaces like Oculus Rift for immersive testing.

• Hands-on projects in modules involving Data Analytics, Cyber Security, Internet of Things, and High-Performance Computing, which provide real-world application of theoretical knowledge.

• Independent dissertation projects allowing students to work closely with faculty on cutting-edge research or industrial challenges.

• Participation in workshops and seminars led by leading academics and industry experts, providing insights into trending technological developments.

• Full access to the University of Liverpool Library digital resources, supporting research and study with extensive computing literature.

This practical exposure ensures graduates develop not only theoretical prowess but cement their skills working with technologies shaping the future of computer science

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.​