Program Overview

This Data Science bachelor’s course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation.

Developed with input from industry experts, this course covers all the necessary skills and competencies required to delve deeper into this fascinating field. By the end of the BSc degree, you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data scientists.

 Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are prepared with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning.

During your studies you’ll be encouraged to:

• Apply maths, statistics and science practice
• Recognise and exploit business opportunities using data science innovation
• Find a solution to domain-specific problems using data science capability
• Utilise a range of coding practices
• Build scalable data products for strategic or operational business and contribute through the product life cycle
• Use tools such as Spark, Kafka, Hadoop, Oracle, SQL Server, Linux, Apache Airflow, RStudio, Python - Jupyter, Tableau, and D3 technology

Your learning will see you attend a variety of scheduled sessions such as lectures, tutorials, and workshops. This will be further developed by your revision of module materials and learning exercises outside of scheduled teaching hours. Throughout your learning experience you’ll find the teaching team on hand to support you.

What’s more, we have a wealth of appropriate blended learning technologies, such as the University’s virtual learning environment WebLearn, our library’s e-books and our online databases. These will further facilitate and support your learning, in particular to:

• Deliver content
• Encourage your active learning
• Provide formative and summative assessments with prompt feedback
• Enhance your course engagement

The specialist nature of this course will allow you to explore and experience advanced techniques in data science and data analytics. You’ll acquire practical skills, often first-hand from an external organisation, which will prepare you for your future as a data scientist.