Northumbria University

Overview

The Big Data and Data Science Technology course at Northumbria University equips students with the skills to design and implement data-driven solutions using advanced analytics and machine learning techniques. This program emphasizes practical application, allowing students to work with large-scale data in real-world environments through a hands-on industry-focused component.

What you'll study

The course comprises a series of core modules that lay the foundation for understanding data science and its applications. Key topics include:

• Information Governance and Cyber Security
• Leadership in a Digital Age
• Applied Data Science
• Contemporary Computing and Digital Technologies
• Big Data Analytics
• Machine Learning on Cloud

The program includes an Advanced Practice component, where students engage in an internship or group consultancy project. This experience enhances employability by enabling students to apply their knowledge in a real or simulated client context, meet deadlines, and effectively communicate results to stakeholders.

Assessment typically involves a combination of coursework, practical assignments, and project evaluations. Students should verify the specific assessment methods for their intake on the program page.

Entry requirements

Applicants should possess a minimum of a Lower Second Class (2:2) honours degree (or equivalent) in any subject. Additionally, candidates must demonstrate proficiency in English, with a typical requirement of an overall IELTS score of 6.5, ensuring no individual component falls below 5.5 (or equivalent). For exact English language qualifications accepted, please refer to the program page.

Career prospects

Graduates of the Big Data and Data Science Technology program can expect a wide range of career opportunities in various sectors. The growing demand for data professionals means that students will be well-positioned to pursue roles in data analysis, data engineering, machine learning, and data consultancy. The combination of theoretical knowledge and practical experience gained during the course will significantly enhance employability in this dynamic field.