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O que eu aprenderei?

About the courseData is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting. The constant generation of data from our digital society feeds into our everyday lives, affecting how we receive healthcare to influencing our shopping habits. In order to handle, make sense of, and exploit large volumes of available data requires highly skilled human insight, analysis and visualisation. The professionals working in this field are called ‘data scientists’, who blend advanced mathematical and statistical skills with programming, database design, machine learning, modelling, simulation and innovative data visualisation. These professionals are in high demand in both public and private sectors in the UK and worldwide.

This programme aims and learning outcomes are built around two guiding principles: To provide comprehensive understanding of the fundamental mathematical and statistical concepts underlying data science, and how they are implemented in algorithms and machine learning techniques to solve a variety of data processing and analysis problems. To provide training in the practical skills relevant to data science, central of which is the ability to write clean and efficient code in industry-recognised languages (in particular, Python and R), but also includes data handling, manipulation, mining and visualisation techniques.

CareersUpon completion of the programme you will be able to demonstrate (and apply) an understanding of a wide range of theoretical and practical skills enabling you to enter a variety of disciplines and industries.

You will be able to: Understand and be able to critically assess the various strengths and weaknesses inherent to different data science methodologies; Design creative strategies and solutions to tackle unfamiliar data science problems and critically assess outputs and results through appropriate statistically robust validation and other performance assessment techniques; Effectively communicate problems, methods, results and conclusions through oral and written presentation to both expert and non-expert audiences; Have an appreciation of both the underlying research behind data science techniques (e.g. cutting-edge algorithms and computational techniques) and their relevance and application across a broad range of disciplines.

De qual departamento farei parte?

School of Engineering and Computer Science

Opções de estudo

Período integral (3 anos)

Valores
£16.500,00 (R$ 101.657) por ano
Esta é uma taxa fixa
Data de início

26 Setembro 2022

Localização

University of Hertfordshire

College Lane,

Hatfield,

Hertfordshire,

AL10 9AB, England

Período integral (2 anos)

Valores
£16.500,00 (R$ 101.657) por ano
Esta é uma taxa fixa
Data de início

26 Setembro 2022

Localização

University of Hertfordshire

College Lane,

Hatfield,

Hertfordshire,

AL10 9AB, England

Requisitos de admissão

Para estudantes do(s)/da Estados Unidos

Completion of a 4 year bachelors degree with GPA 2.5 out of 4. SAT 550 in each band or ACT 25 in each band. For entry onto Pre-masters Completion of a 4 year bachelors degree with less than GPA 2.5 out of 4. International English Language Testing System (IELTS) score of 6.5 (with no less than 5.5 in any band) for postgraduate.

Para estudantes internacionais

For Near-STEM students, the normal entry requirements for the programme are a good (2:1 or above) Honours Degree (or equivalent) in a STEM subject (e.g. Mathematics, Engineering, Physical Sciences etc). IELTS: 6.5

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

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