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Artificial Intelligence
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BACHELORS

Artificial Intelligence

Anglia Ruskin University
Cambridge, Great Britain
Full-time
€16,556.35/year
 2483 Points
Duration
3 Years
Language
English
Start date
Sep 2022

Program Description

Our brand new degree course has been designed with employers and industry in mind, ensuring you are learning the professional skills you will need once you graduate. You will be provided with the knowledge and skills to develop as a specialist in the areas of data analysis, machine learning, neural networks and artificial intelligence algorithm design.

For students who have citizens' rights after Brexit tuition fees are £9,250 per year.

Entry Requirements

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Education
High School Diploma (or equivalent)
16
or
Foundation Year
55
or
IB Diploma
24
English Level
TOEFL (internet based)
80
or
Cambridge Proficiency (CPE)
C
or
Cambridge Advanced (CAE)
C
or
International Baccalaureate
5.0
or
A levels
C
or
IGCSE
C
or
IELTS
6
or
PTE
57
Notes:

Other accepted qualifications:

  • International Advanced Levels (A Levels)
  • HNC qualifications
  • HND qualifications

Alternative English language requirements:

  • Our preferred tests are IELTS, TOEFL iBT (80 overall and a minimum of 17 in Writing and Listening, 18 in Reading and 20 in Speaking) and Pearson PTE ( 57 overall and a minimum of 51 in all components), so we recommend you take one of these if possible. We also recognise the following qualifications/tests:
  1. Trinity College: Integrated Skills in English (ISE)
  2. LanguageCert International ESOL SELT tests
  3. International English Language Competency Assessment (IELCA)

Important Information:

  • If you don't meet our English language requirements, we offer a range of courses which could help you achieve the level required for entry. We also provide our own English Language Proficiency Test (ELPT) in the UK and overseas.
  • If you've completed study at university level in the UK or your home country you may be eligible to enter directly into Year 2 or 3 of a related degree course at ARU.

Curriculum

Year 1

Introduction to Programming

Computer Systems

Computer Modelling and Simulation

Fundamentals of Artificial Intelligence

Introduction to Mathematical Techniques for Artificial Intelligence

Year 2

Database Design and Implementation

Software Engineering

Ruskin Module

Advanced Analytical Techniques for Artificial Intelligence

Machine Learning

Artificial Neural Networksv

Optional modules:

Algorithm Analysis and Data Structures

Digital Security

Year 3

Final Project

AI Techniques (Fuzzy Logic and Genetic Algorithms)

Professional Issues: Computing and Society

Deep Learning

Distributed Programming Optional modules:

Image Processing

Digital Signal Processing

Embedded Computing

Cloud Computing

Careers

  • Development and application of artificial intelligence
  • Data science projects in a variety of fields
  • Programming
  • Computer systems
  • Digital security
  • Web development
  • IT systems
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