EUE

Computer Science - Machine Learning and Artificial Intelligence (BSc)

September. 2021

Start Date

1 FY + 3 UY

Course Duration

English

Language

Basic Information

Start Date

September. 2021

Course Duration

1 foundation year (if required) + 3 undergrad years

English Language Requirements

Overall IELTS 6.0 with a minimum of 6.0 in Writing and Speaking; minimum 5.5 in Reading and Listening (or recognised equivalent).

Programme Description

Machine learning (ML) provides a means for computer systems to extract useful information from data. These techniques are widely used in the technology industry for a variety of applications, for example, recommending music and products to people, identifying faces in photos and predicting trends in financial markets.

With the BSc Computer Science (Machine Learning and Artificial Intelligence), you will be able to apply for a range of technical, problem-solving jobs in a rapidly growing area. Companies and institutions are applying ML and AI (artificial intelligence) to a wide range of problems in business, finance, medicine, education, video games, engineering and science as well as new application areas such as music and other creative work. A typical job title is machine learning engineer.

Final Project

In this module, you’ll undertake a substantial independent project that allows you to demonstrate a wide range of skills such as project planning, management, research, software implementation and written presentation. If you are enrolled on a specialist pathway as part of the BSc, you’ll be expected to undertake a project in your specialist area. You will integrate your knowledge gained throughout the degree and use skills acquired in other modules in the implementation of your final project. The work will consist of a combination of research and software development. You will be expected to use methodologies from various components of computer science, including your specialist pathway if appropriate.

Courses

Level 4 (8 Compulsory Modules)

  • Introduction to Programming I*
  • Introduction to Programming II
  • Numerical Mathematics
  • Discrete Mathematics
  • Fundamentals of Computer Science
  • How Computers Work
  • Algorithms and Data Structures I
  • Web Development

Level 5 (8 Compulsory Modules)

  • Object-Oriented Programming
  • Software Design and Development
  • Programming with Data
  • Agile Software Projects
  • Computer Security
  • Graphics Programming
  • Algorithms and Data Structures II
  • Databases, Networks and the Web

Level 6 (6 Modules + Final Project)

  • Databases and Advanced
  • Data Techniques*
  • Machine Learning and
  • Neural Networks*
  • Artificial Intelligence*
  • Intelligent Signal Processing*
  • Natural Language Processing*
  • One elective from any other specialism
  • The Final Project

* Core Modules