University of Wales Trinity Saint David - MSc Data and Artificial Intelligence

University of Wales Trinity Saint David

MSc Data and Artificial Intelligence

This programme lies within an area of growing technological change and provides advanced skills and knowledge.

Students are equipped with knowledge of the current state of the industry.
There is also an emphasis on skills for lifelong learning so that students will be able to update their skills throughout their careers.

What you will learn

This MSc provides significant technical content which will develop students’ skills in the development of intelligent systems.

In recent years, major organisations have made significant investments into data warehousing and data mining technologies which are now at the forefront of business intelligence.

Artificial intelligence is another huge growth area -  predicting future direction in many fields including business, health and transport to name a few.

You will learn to use databases and analytical tools to identify trends, patterns and correlations in data. You will also learn about the application of artificial intelligence and machine learning to allow deep analysis of large datasets.

Entry Requirements

Applicants require an Honours Degree (2.2 or above) or advanced qualification in Computer Science or cognate discipline from a UK University or recognised overseas institution or industrial experience in IT and an Honours Degree.

For International applicants, we ask that you hold an Academic IELTS test with a score of at least 6.0 (no element less than 5.5). For full information please visit our International page.

Career Prospects

Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems.

The programme covers the three themes of Data Management, User Experience and Web Technologies in the computing sector.

A significant emphasis is placed on data management and the implementation of applications for manipulating information including both database systems and web applications. Additionally, graduates would be able to lead teams and manage projects.

It is expected that graduates would seek positions such as:

  • Project manager (within the Computing field)
  • Data analyst
  • Database administrator
  • Application developer
  • Web developer

Course Details


Modules

Database Systems (20 credits)
Data Mining and Visualisation (20 credits)
Advanced Statistical Programming (20 credits)
Application of Machine Learning (20 credits)
Artificial Intelligence (20 credits)
Data Security, Governance and Compliance (20 credits)
Master's Project (60 credits)
Research Methods and Professional Development (20 credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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