Master of Science [M.Sc] [Data Science] From University of Bath

Data science drives a significant proportion of global economic activity from healthcare to finance and technology. It's influencing scientific progress across numerous fields including bioscience, energy and telecommunications. This course provides you with the tools and strong mathematical foundation to become an industry expert. You'll gain an understanding of the balanced combination of science and technology required for delivering effective data science.

• Designed for those wanting to work with and derive meaning from data, but without prior experience of programming
• Explore a wide variety of applications to prepare you for a career working with data in a wide variety of sectors
• Graduate with the capability to extract otherwise-hidden information within data and use it to make informed decisions, with the skills needed to enter a Data Scientist or Analyst role
• Learn a variety of languages essential to Data Science, including R and Python
• Work with data and gain the ability to perform statistical analysis to answer questions, and understand how to interpret and communicate results in the presence of bias and uncertainty.

With organisations increasingly reliant on data science and artificial intelligence (AI), understanding how to analyse, validate and interpret data can significantly enhance your employability.

If you’re a graduate in a subject that’s not related to computer science, this MSc will complement your first degree and prepare you to meet the high demand for professionals in data science and AI technologies.

With the roots of data science embedded in mathematics, we’ll start by introducing you to linear algebra, differential calculus, probability theory and statistics. This will prepare you for working with data mining algorithms and experimenting using real-world data.

You’ll receive an overview of how to design and create software, including an intensive introduction to programming, and explore key topics in AI. We’ll also provide a thorough grounding in how to plan and conduct research in preparation for your dissertation.

Further opportunities to specialise and enhance your knowledge of big data, web programming, bio-inspired algorithms and modern information systems are available through a range of optional modules.

• Typically, you should have a Bachelor degree with a final overall result of at least First Class. 
• To apply for this course, your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering maths or other science degrees with sufficient baseline maths are also suitable.