埃克塞特大学应用数据科学与统计-新东方前途出国

Overview

• 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.

• Entry requirements

  A good degree (normally a 2:2).

  Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience.

  Prior experience of coding is not necessary on this course.

  Entry requirements for international students

  English language requirements

  • IELTS
     
  • TOEFL
     
  • Pearson
     

  Please visit our entry requirements section for equivalencies from your country and further information on English language requirements.

  Course content

  Teaching on this programme is delivered through a mix of lectures, projects, group work and hands-on lab sessions. Many of your lectures will be interactive combining a blend of classroom learning, coding and data analysis. Group and individual projects will be undertaken using real data and will often focus on topical challenges which are the focus of current research.

  Assessments will be based on a combination of exams, group and individual project work, practical data analysis, visualisation and communication skills.

  The course is based around open source software. As a student you will also have access to many programmes, such as Matlab, through the University.

  All aspects of the course are design with windows, mac and linux in mind. Many of your practical sessions will take place in the department’s newly refurbished mac suites.

  The taught component of the programme is completed in June with the project extending over the summer period for submission in September.

  The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.