Data and Analytical Science Anglia Ruskin University

Overview

Anglia Ruskin University (ARU) is renowned for its commitment to providing high-quality education, and the B.Sc. in Data and Analytical Science (Hons) exemplifies this ethos. This programme is designed to develop your expertise in data analysis, enabling you to extract valuable insights from complex datasets. The course integrates advanced statistical methods and machine learning algorithms, preparing you for a dynamic career in the data-driven world.

Why Data and Analytical Science at Anglia Ruskin University?

ARU has been recognised for its teaching excellence, achieving a Gold award in a UK-wide review of educational standards. The university was also named Times Higher Education University of the Year 2023, highlighting its commitment to student success. Located in Peterborough, a smart city with a gigabit network, ARU provides state-of-the-art facilities equipped with industry-standard software. Students benefit from strong ties with local businesses, allowing them to engage in real-world projects that enhance their learning experience.

Tuition Fee Breakdown

The tuition fees for the B.Sc. in Data and Analytical Science (Hons) are as follows:

• International students: £17,500 per year
• UK students: £9,535 per year

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

Syllabus

The curriculum is structured to provide a comprehensive understanding of data analytics, with the following modules:

• Relational Database Development Fundamentals
• Computer Systems and Networking Fundamentals
• Web Development Fundamentals
• Big Data Analytics
• Becoming an IT Professional
• Machine Learning and AI Fundamentals
• Team Based Project
• Algorithms, Data Structures and Advanced Programming
• Data Mining and Visualisation
• Future Tech and Development
• Graph Analytics and Learning
• Building Neural Networks

Careers with Data and Analytical Science

Graduates of the B.Sc. in Data and Analytical Science (Hons) are well-prepared for various career paths. Potential roles include:

• Data Analyst: Identifying patterns and trends to inform business decisions.
• Business Analyst: Enhancing business processes through data analysis.
• Data Engineer: Designing and building data systems and infrastructure.
• Data Scientist: Applying statistical methods and machine learning to drive strategies.
• Health Informatics Specialist: Managing and analysing patient data in healthcare.
• Marketing Analyst: Using consumer data to guide marketing strategies.

ARU also offers opportunities for further study, such as pursuing a Master's degree in Business Data Analytics.