Data Science (Hons) Edge Hill University

Overview

Why Data Science (Hons) at Edge Hill University?

Edge Hill University is renowned for its commitment to academic excellence and innovative teaching methods. The Data Science (Hons) programme is designed to equip students with the essential skills and knowledge required to thrive in the rapidly evolving field of data science. The university's state-of-the-art facilities, including the £13 million Tech Hub, provide an optimal learning environment, fostering creativity and collaboration. Furthermore, Edge Hill's partnerships with industry leaders enhance the educational experience, ensuring that students are well-prepared for the demands of the job market.

Tuition Fee Breakdown

The tuition fees for the Data Science (Hons) programme are as follows:

• National students: £9,250 per year
• International students: £17,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Data Science (Hons) programme includes a comprehensive range of modules designed to develop practical and theoretical skills. Key modules include:

• Advanced Professional Practice
• Databases
• Data Mining and Visualisation
• Emerging Technologies
• Machine Learning
• Practical Data Analysis
• Programming for Data Science and Artificial Intelligence
• Research and Development Project
• Research Methods

These modules cover essential topics such as data management, algorithmic techniques, and ethical considerations in technology, preparing students for various roles in the industry.

Industry Demand

The demand for skilled data professionals is on the rise across multiple sectors, including finance, healthcare, telecommunications, and energy. Graduates of the Data Science (Hons) programme are well-positioned to meet this demand, equipped with the necessary skills to analyse and interpret complex data sets.

Careers with Data Science (Hons)

Graduates of the Data Science (Hons) programme can pursue a variety of career paths, including roles such as data scientist, data analyst, big data developer, and data engineer. Many alumni have successfully secured positions in prominent industries, contributing to sectors such as banking and finance, healthcare, telecommunications, and online sales. The programme also lays the groundwork for further academic pursuits, including PhD studies, or the opportunity to establish a startup.