2.5-Term Pathway - Pre-Master's for Science and Engineering - Transfer to Master of Science - Computational and Software Techniques in Engineering - Computational Intelligence for Data Analytics
Palace House, 3 Cathedral Street, London, United Kingdom
312086
Last updated: 17/04/2025
About 2.5-Term Pathway - Pre-Master's for Science and Engineering - Transfer to Master of Science - Computational and Software Techniques in Engineering - Computational Intelligence for Data Analytics
The Pre-Master's for Science and Engineering at Kaplan International College London is ideal for a postgraduate degree at university. The length of the course is determined mainly by the applicant's English language level.
All students will take a set of common or similar modules to gain key skills for university. They may also take extra modules focusing on one or more of the English language, academic skills and basic subject knowledge.
The Master of Science in Computational and Software Techniques in Engineering in Computational Intelligence for Data Analytics will focus on the enabling technologies of Big Data processing, namely high performance and cloud computing, as well as algorithm development related to machine learning and data analytics. In addition, this course will introduce graduates to industry standard software technologies, such as Hadoop and Spark, focusing on hands-on, practical solutions to a range of common problems. They will develop a solid base of skills in computer science and artificial intelligence, necessary to develop and validate effective algorithms.
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