Northumbria University

Overview

The Computing with Data Science and Big Data Technology program at Northumbria University is a specialized course designed to integrate foundational computing skills with advanced data science and big data methodologies. Students will engage in building and evaluating data-driven solutions while mastering the deployment of machine learning models using popular cloud platforms like AWS, Microsoft Azure, and Google Cloud.

What you'll study

The curriculum is structured to provide a comprehensive understanding of both computing and data science. Key areas of study include:

• Core Computing and Technical Foundations:
  • Algorithms and Programming
  • Computing Technology
  • Database Design and Implementation
  • Data Communications & Networks
  • Web Design and Development
  • Software Engineering Principles
• Data Science and Big Data Focus:
  • Big Data Analytics Concepts, Principles, and Techniques
  • Distributed Machine Learning and Cloud Deployment
  • Applied Analysis and Critical Evaluation of Implementations
• Academic and Professional Development:
  • Academic Language Skills for Computing and Technology

Students will also have opportunities for project work, where they can apply their knowledge in practical settings. Elective modules may also be available to allow for specialization in specific areas of interest.

Entry requirements

Applicants should possess a minimum of 120 UCAS Tariff points. Additionally, GCSE requirements include Mathematics and English Language at a minimum grade. For non-native English speakers, an IELTS score of 6.0 overall is required to ensure proficiency in the language of instruction.

Career prospects

Graduates of the Computing with Data Science and Big Data Technology program will be well-equipped for a variety of career paths in the rapidly evolving technology sector. Potential roles include data analyst, data scientist, machine learning engineer, and IT consultant, among others. The comprehensive skill set gained through this program will enable graduates to thrive in diverse industries that increasingly rely on data-driven decision-making.