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O que eu aprenderei?

This course will create graduates with a sound understanding of the theory and practice of AI in industry. As a conversion course we will assume all students are starting fresh with no experience of computer programming and little experience of using mathematics or statistics in their undergraduate programmes or in work.

What's covered in the course?

We will begin by creating a foundation in programming and mathematics upon which we will build the expertise in several key areas of artificial intelligence, going from your first Python code and basic algebra right through to Deep Learning. The core applied areas of data science that will be taught will include:

Data Visualisation and Interpretation - Analysis that can’t be properly interpreted, explained and understood is a waste of time from a commercial point-of-view. We will teach you how to generate attractive and interpretable visualisations and tell the story of whatever data you’re working with to a range of audiences.
Image Analysis - Machine learning has shown incredible results recently in understanding the themes of images and video which are being applied in a range of commercial settings; from security and driverless cars, to online clothes shopping.
Natural Language Processing - Being able to understand speech and text is one of the cornerstones of artificial intelligence systems. Chatbots built on AI are appearing all over the internet, but more than this technology giants are searching for ways that machines can have detailed conversations with one-another and to be able to read and understand text documents.
Time Series - Dealing with dynamic data is vital to AI systems in finance, AI and defence; whether predicting the future of stock prices to predicting patient outcomes in ICU and how a virus outbreak will permeate through a population.

Enhancing your employability skills

We know that employers are looking for graduates who have a good balance between in-depth academic knowledge and technical and practical expertise, which is why our course is geared towards employability.

De qual departamento farei parte?

Birmingham City University

Opções de estudo

Período integral (12 meses)

Valores
£16.300,00 (R$ 105.026) por ano
Esta é uma taxa fixa

*O preço é estimado e tem caráter informativo, por favor, verifique esta informação com a instituição.

Data de início

19 Setembro 2022, 23 Janeiro 2023

Localização

City Centre Campuses

1 Curzon Street,

Birmingham,

B4 7XG, England

Período integral (18 meses)

Valores
£17.930,00 (R$ 115.528) por ano
Esta é uma taxa fixa

*O preço é estimado e tem caráter informativo, por favor, verifique esta informação com a instituição.

Data de início

19 Setembro 2022, 23 Janeiro 2023

Localização

City Centre Campuses

1 Curzon Street,

Birmingham,

B4 7XG, England

Requisitos de admissão

Para estudantes do(s)/da Estados Unidos

Students need to hold a Bachelor Degree with minimum GPA 2.7. Some postgraduate courses may require a subject specific undergraduate degree to qualify for entry. Some postgraduate courses also require a portfolio, others require a proposal of studies while some courses require both a portfolio and a proposal of studies. Students need to have an IELTS of 6.0 overall (with no band below 5.5).

Para estudantes internacionais

2:2 honours degree or higher in any discipline or 3+ years professional work experience(standard definition any role which has required you to work & interact with a range of people requiring a regular element of problem-solving). IELTS of 6.0 overall (with no band below 5.5) is required, TOEFL 80.

Os requisitos para o IELTS podem variar de acordo com o curso que você escolher.

ADICIONAR AOS MEUS FAVORITOS

Sobre Birmingham City University

A Universidade Birmingham City é um ambiente de aprendizado dinâmico e centrado no aluno, com cursos aprovados por órgãos profissionais.

  • Alunos adquirem aprendizados práticos e habilidades relevantes
  • Melhore sua escrita acadêmica através de oficinas e tutoriais
  • GBP 340 milhões investidos em instalações
  • Esquema universitário de trabalho meio-período para estudantes

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