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UCL (University College London): Integrated Machine Learning Systems
Institution | UCL (University College London) View institution profile |
---|---|
Department | Electronic and Electrical Engineering View department profile |
Web | https://www.ucl.ac.uk/engineering |
Study type | Taught |
MSc
Summary
This MSc programme teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.
**Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.**
Level | RQF Level 7 |
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Entry requirements | A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.English level: Level 1 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
This MSc programme teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.
**Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.**
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.English level: Level 1 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
This MSc programme teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.
**Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.**
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.English level: Level 1 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
This MSc programme teaches how to engineer the machine learning systems that will form the basis of our economies, society and industry in the next few decades. It offers students the know-how necessary to pursue a wide variety of careers in the general field of integrated machine learning systems engineering in start-ups, well-established companies, or indeed research.
**Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.**
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of an upper second-class Bachelor's degree in electronic and electrical engineering, computer science, and related fields from a UK university or an overseas qualification of an equivalent standard. Basic knowledge (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) of programming languages (such as C, C++, Python, Java, or similar) is required. Basic knowledge of mathematics (e.g. at UK 2:1 standard in relevant undergraduate-standard modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.English level: Level 1 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
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