Data Science at Cardiff Metropolitan University - UCAS

Cardiff Metropolitan University

Degree level: Postgraduate
Awarded by: Cardiff Metropolitan University (Prifysgol Metropolitan Caerdydd)

Data Science (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

This Master's degree in Data Science is an industry-relevant and popular postgraduate programme of study. Data Science and "Big Data" are more important than ever. Graduates trained to garner insights from large data sets, extract patterns and provide actionable information to solve real-world problems are sought after in both the private and public sector. This course will equip you with in-demand theoretical knowledge and practical skills to develop data science systems, use software to analyse and synthesise data, and manage all aspects of data science.

Modules

Compulsory modules: •Technology Project Management (20 credits) This module aims to foster in students a critical appreciation of project management principles and practices in preparation for when they will manage – or be managed via – technology projects. •Business Process & Data Analysis (20 credits) This module is designed to enable the student to develop a critical appreciation of a range of business process analysis approaches and to explore key contemporary issues regarding their application in organisations. •Geospatial Analysis (20 credits) This module aims to provide students with the opportunity to gain experience and develop skills in handling spatial data, and to both identify and understand any patterns revealed within that data through the application of various techniques in spatial analysis. •Programming for Data Analysis (20 credits) The aim of this module is to help students acquire skills for job roles of Data Scientist, Data Modellers and Data Analyst. Students taking this module will have the opportunity to understand and implement various statistical and computational techniques for analysing datasets using various industry standard software and programming languages. •Research Methods for Technology Dissertations (20 credits) The aim of this module is to equip the student with the skills, knowledge and techniques necessary to produce a dissertation with a research or technical focus. •Social Media Analytics for Business (20 credits) This module provides students with the opportunity to gain experience and develop skills in handling social media data that is generated from user activity. •Technology Dissertation (40 credits) The aim of the technology project is for the student to apply knowledge, skills and techniques developed during directed and independent study to solve a real world technology related project. The technology project may take the form of an in-depth research project or the development of a computer system. Optional modules: •Information Security (optional module - 20 credits) This module aims to provide an insight into the implementation of data security in computer systems and to encourage students to appreciate the practical and theoretical management principles associated with information security. •Internship (optional module - 20 credits) The aim of this module is to enable students to critically demonstrate, through practical experience, a more in-depth and critical understanding of technical, management and / or leadership within an organisation in the private, public or not-for-profit sector. To obtain an MSc degree, you must follow and successfully complete a total of 180 credits. PgC (60 credits) and PgD (120 credits) may be awarded as standalone or exit awards.

Assessment method

Assessments take the form of examinations (seen/unseen, open book, essays/short answers), essays, practical assessments, presentations, role-plays, individual and group reports, and a dissertation or a developmental project.


Entry requirements

Applicants should meet one of the following: Possess, or expect to obtain, an undergraduate degree or equivalent, in a relevant area with a minimum of a 2:2 classification; Hold a suitable professional qualification from an appropriate professional body. International Students: Students whose first language is NOT English will need to provide evidence of fluency to at least an IELTS 6.0 standard.​


Fees and funding

Tuition fees

Republic of Ireland £1140 Module
England £1140 Module
Northern Ireland £1140 Module
Scotland £1140 Module
Wales £1140 Module

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science at Cardiff Metropolitan University - UCAS