University of Essex
Big Data and Text Analytics
This course equips students with the knowledge to contribute to this rapidly emerging area. Students gain hands on experience with various types of large-scale data and information handling and a solid understanding of the underlying technologies, in particular cloud computing and high-performance computing. Students obtain practical knowledge of processing textual data, on a large scale, in order to turn this data into meaningful information. Students also have the chance to work on projects that are derived from actual industry needs or proposed by our industrial partners.
Our applicants should have a good Honours degree, or equivalent, in computer science, electronic engineering or a related discipline. If English is not your 1st language, then we require IELTS 6.0, or equivalent.
Stage 1 modules: cloud technologies and systems; group project; high performance computing; machine learning and data mining; professional practice and research methodology; text analytics; Msc project and dissertation. Options: advanced web technologies; computer security; computer vision; IP networking and applications; mobile and social application; programming; natural language engineering; networking principles.
Combination of written coursework, end-of-term tests, practical and laboratory work (where appropriate) and end-of-year exams. During the summer, you will work on a dissertation or individual project included in your final grade.
|Qualification||Study mode||Fee||Course duration|
|MSc||Full-time||£ 5,665 per Academic year (home fees)||12 months|
|MSc||Full-time||£ 13,950 per Academic year (overseas fees)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Colchester Campus||Colchester||CO4 3SQ||South East|
Graduate Administrator, School of Computer Science and Electronic Engineering