Master of Science [M.Sc] [Applied Data Science and Statistics] From University of Exeter

• 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.

Big data is playing an increasingly important role in our society. The need for expert and ethically-informed data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.

This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. The academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.

Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. This course offers a range of flexible optional modules. This allows you to study a topic that interests you.

You will undertake an individual research project in an area of your choice. This can be with industry partners or with one of our expert research groups. Past projects have included:

Development of location-based service for education
UK precipitation forecasting
The effect of virtual audiences on music performance anxiet

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.

• 2:1 (or international equivalent) with an affinity for programming and/or advanced statistics evidenced through prior study or practical experience detailed in the application. Graduates from other fields, with strong mathematics and/or computer science background will be considered with 60% average mark.

• 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.