Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study at Swansea University - winner of the 'Postgraduate' category at the WhatUni? Student Choice Awards 2017. This programme aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.
Minimum 2:1 (or equivalent) in Computer Science or a related discipline. Candidates with a 2:2 will be considered if they have relevant background. English language requirements IELTS 6.0 (with a minimum of 5.5 in each component) or Swansea University recognised equivalent.
Modules may include: Computer Science Project Research Methods; Visual Analytics; Big Data and Data Mining; Big Data and Machine Learning; Mathematical Skills for Data Scientists; Data Visualization; Human Computer Interaction; High Performance Computing in C/C++; Graphics Processor Programming; Computer Vision and Pattern Recognition; Modelling and Verification Techniques; Operating Systems and Architectures.
|Qualification||Study mode||Start month||Fee||Fee locale||Course duration|
|MSc||Full-time||September 2018||16,750 (Year 1)||International||1 1 Years|
|MSc||Full-time||September 2018||7,900 (Year 1)||Home/EU||1 1 Years|
|MSc||Part-time||September 2018||8,400 (Year 1)||International||2 2 Years|
|MSc||Part-time||September 2018||3,950 (Year 1)||Home/EU||2 2 Years|
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