Why study MSc Data Science & Artificial Intelligence at ֱ?
- Learn about recent advances in the fields of data analytics, big data tools and technologies, machine intelligence while concretely experimenting on machine knowledge extraction and decision-support
- Use a broad range of data science tools and technologies, from those which are established(MATLAB, R and Weka), to the new favourites which prepare you for mainstream data science jobs (Python,Jupyternotebook, Apache Spark and libraries such asKeras, TensorFlow, andPyTorch)
- Graduatewith important skills in strategic thinking for scientific research implementation and communication
- We’veestablished close relationships with companies, research and government agencies that are interested in recruiting skilled graduates in data science and artificial intelligence
- Take part inorganisedcodejams/hackathons,visit organisations and work on practical data science and artificial problems. This will support youinestablishing an internship or placement
- Tailoryourlearning towards the areas that interest you,with option unitscoveringtopics such asneuronal analysis, smart systems, computer visionandBlockchain.
Career opportunities
You’ll explore various investigative data science and artificial intelligence-based approaches, relevant to the security, environment, human behaviour understanding, transport, health, smart cities sectors and more. You’ll possess the practical skills and theoretical knowledge necessary to enter fields within data science and artificial intelligence.
In order to take advantage of new approaches to learning and teaching, as well as developments in industryto benefit our students we regularly review all of our courses. This course is currently going through this process, and we will update this page to give you full information about what we will be offering once the review process has concluded. These changes will come into effect for all new students from January2025entry.Applicants will be notified by our admissions team of any changes.
Explore what it's like to study on this course
Key information
Next start date:
September 2024, January 2025, September 2025
Location:
ֱ, Talbot Campus
Duration:
September start: 1 year full-time or 2 years part-time, January start: 16 months full-time or 32 months part-time
Required subjects:
Computing, Technology, Maths, Physics, Engineering, Data Sciences or Data Analytics
Entry requirements:
A Bachelors Honours degree with 2:2 in a required subject, or equivalent.
International entry requirements:
If English is not your first language you'll need IELTS 6.0 (Academic), with a minimum of 5.5in each component. For more information check out ourfull entry requirements.