Course Overview

• Learn about recent advances in the fields of data analytics, big data tools and technologies, and machine intelligence while concretely experimenting with 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 favorites which prepare you for mainstream data science jobs (Python, Jupyter notebook, Apache Spark, and libraries such as Keras, TensorFlow, and PyTorch) 

• Graduate with essential skills in strategic thinking for scientific research implementation and communication 

• We’ve established close relationships with companies, research, and government agencies interested in recruiting skilled graduates in data science and artificial intelligence. 

• Take part in organized code jams/hackathons, visit organizations, and work on practical data science and artificial problems. This will support you in establishing an internship or placement.  

• Tailor your learning towards the areas that interest you, with option units covering topics such as neuronal analysis, intelligent systems, computer vision, and Blockchain. 

General Eligibility

The standard requirements for embarking upon a postgraduate taught degree are:

• A bachelor's Honours degree with 2:2 in a required subject or equivalent.

• Required subject: Computing, Technology, Maths, Physics, Engineering, Data Sciences, or Data Analytics

Part Time Work Details

20 hours per week

Language Requirement

• IELTS (Academic) 6.0 with a minimum of 5.5 in each component or equivalent.