BSc (Hons) Data Sciences
Course Overview
This BSc (Hons) Data Sciences programme equips you with the technical and analytical skills to launch a career in one of the world's most in-demand fields. You will learn to extract valuable, performance-boosting insights from vast datasets, preparing you to solve real-world problems across various industries. The programme is distinguished by its strong industry links, BCS accreditation, and research-led teaching from an enthusiastic faculty.
Key Program Highlights
- BCS-accredited degree, meeting academic requirements for Chartered IT Professional status.
- Strong industry connections with over 30 companies on the Industrial Advisory Board.
- 82% of graduates are in highly skilled roles within 15 months of finishing the course.
- Research-led teaching from a department with over 30 years of accreditation history.
- Develop practical skills to extract valuable insights from large, complex datasets.
Course Overview
This BSc (Hons) Data Sciences programme equips you with the technical and analytical skills to launch a career in one of the world's most in-demand fields. You will learn to extract valuable, performance-boosting insights from vast datasets, preparing you to solve real-world problems across various industries. The programme is distinguished by its strong industry links, BCS accreditation, and research-led teaching from an enthusiastic faculty.
Key Program Highlights
- BCS-accredited degree, meeting academic requirements for Chartered IT Professional status.
- Strong industry connections with over 30 companies on the Industrial Advisory Board.
- 82% of graduates are in highly skilled roles within 15 months of finishing the course.
- Research-led teaching from a department with over 30 years of accreditation history.
- Develop practical skills to extract valuable insights from large, complex datasets.
Requirements
Modules
- Software Development 1
- Elements of Probability
- Calculus A
- Calculus B
- Topics in Statistical Practice
- Web Design and Databases
- Software Development 2
- Introduction to University Mathematics
- Real Analysis
- Algorithmic and Scientific Programming
- Linear Algebra
- Probability and Statistics A
- Multivariable Calculus
- Introduction to Software Engineering
- Database Management Systems
- Probability and Statistics B
- Statistical Models A
- Artificial Intelligence and Intelligent Agents
- Software Engineering
- Further Statistical Methods
- Professional Development
- Statistical Models B
- Bayesian Inference & Computational Methods
- Ordinary Differential Equations
- Dissertation A
- Time Series and Machine Learning
- Software Engineering Foundations
- Optimisation
- Numerical Analysis C
- Big Data Management
- Dissertation B
- Advanced Machine Learning
- Numerical Analysis D
- Climate Change and Sustainability
