Integrated Machine Learning Systems MSc

at University College London

Compulsory modules
 

•  Research Project
•  Applied Machine Learning Systems I (MLS-1)
•  Applied Machine Learning Systems II (MLS-II)
•  Data Acquisition and Processing Systems (DPS)
•  Cloud, Data Centres and Edge-Computing
•  Security and Privacy
•  Emerging Topics in Integrated Machine Learning Systems

Optional modules
 

•  Introduction to Internet Protocol Networks
•  Internet of Things
•  Deep Learning for Natural Language Processing 
•  Entrepreneurship: Theory and Practice

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-level 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-level modules) is also required in algebra, analysis, probability, or statistics. Applicants must show an interest in developing thinking and problem-solving skills.

Equivalent qualifications for India

The award of any of the following from a recognised institution:
 

• A Bachelor's degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60% where a GPA scale is not used. The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken.

Alternative qualifications
 

• Master's; Medical / Dental degree; MPhil/PhD

UK students
£16,500    

International students
£32,100    

Students will acquire a wide range of theoretical and practical knowledge and skills in the general area of integrated machine learning systems, including in data acquisition, data analysis, and the infrastructure used to transport, store, secure and process data.

In particular, students will be exposed both to the principles and practice of machine learning systems, including the hardware, software and network components underpinning such systems.

Students will therefore be well positioned to pursue a wide range of careers in industry or academia upon completion of this programme.

It is expected that this MSc will deliver professionals in the general field of integrated machine learning systems engineering that can be recruited by the burgeoning industry in the area, such as emerging start-ups or well-established companies that need to recruit engineers with the necessary skills to set-up systems to make sense of data.

It is also expected that this MSc will deliver researchers that are well positioned to continue further doctoral studies.