Data Analytics MSc

The MSc in Data Analytics at Edge Hill University develops strong skills in programming, data handling, machine learning, visualisation, and business-focused analytics. It suits graduates from any discipline who want to enter data-driven careers such as data analysis, business intelligence, data engineering or data science.

Curriculum Structure (Full-time, 1 Year)

Year of Study

Students begin with Programming for Data Science and Artificial Intelligence, learning foundational coding skills for data manipulation and analytical workflows. They continue with Introduction to Data Analytics & Visualisation and Databases, gaining competence in working with structured data, querying datasets, and presenting insights visually. Midway through the year, modules such as Machine Learning and Big Data and Business Intelligence teach students to process large datasets, apply statistical and ML models, and design analytical outputs that support organisational decision-making. The year concludes with Advanced Professional Practice and a Research and Development Project, where students complete an end-to-end data-analytics investigation using real or simulated data.

Focus areas: “Programming for data science, databases, visualisation, machine learning, big data, business intelligence, applied analytics project”

Learning outcomes: “Write programs for data analysis; manage and query structured datasets; apply ML and big-data methods; visualise and interpret findings; deliver a full data-analytics project from problem to solution.”

Professional alignment (accreditation): Accredited by BCS, The Chartered Institute for IT, supporting progression toward professional recognition.

Reputation (employability rankings): The university is known for strong teaching quality and applied computing education, and graduates from the programme enter a wide range of data-driven roles across business, technology, healthcare, finance and the public sector.