Master of Machine Learning and Data Science
Join a booming, in-demand field with a Master’s degree in Machine Learning and Data Science from one of the top 10 universities in the world. In this programme delivered by the Department of Mathematics at Imperial College London, you will develop an in-depth understanding of machine learning methods, alongside invaluable practical skills and guided experience in applying them to real-world problems. The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician.
With hands-on projects, you’ll build a portfolio to showcase your new skills in everything from probabilistic modeling, deep learning, unstructured data processing and anomaly detection. You will not only build a strong foundation in Mathematics and Statistics, giving you confidence in your analytical skills, but you will also acquire expertise in implementing scalable machine learning solutions using industry-standard tools such as PySpark, ensuring that no data is too big or too complex for you. You will also have the opportunity to broaden your horizons through one of the first of its kind study of ethical issues posed by machine learning. You will graduate with an ability to go beyond the algorithms and turn data into actionable insights, contribute to strategic decision making in your organisation and become a responsible member of this rapidly growing profession.
Who is this degree for
This degree offers multiple pathways to meet the needs of students with multiple backgrounds -- both students just starting a career in data science, and those already working in roles such as senior data analysts, bioinformatics scientists, statisticians, and data scientists.
Graduates are likely to pursue roles as data scientists, machine learning engineers, natural language processing engineers, data engineers, bioinformatics or health data scientists, AI engineers, or software engineers. Possibilities extend beyond this list, however, as machine learning is slowly becoming indispensable in other fields, such as journalism or tourism.
This is a rigorous programme: applicants are expected to have a quantitative undergraduate degree in a subject like computer science, math, statistics, economics, or physics.
Master’s level study is a progression from undergraduate work and is usually more specialised, interdisciplinary, or orientated to a specific profession. It is more intellectually demanding and challenging than undergraduate study. Students sometimes fail to appreciate the intense and demanding nature of Master's level programmes. There is no gradual introduction – the pace is fierce from the outset and it does not subside until the end. This requires a commitment to a sustained period of intensive work right from the start. In addition:
- the pace of lecturing is likely to be significantly faster
- you will be expected to undertake more directed background reading during the course
- you will be expected to arrive at solutions for yourself
For this reason the College requires a high academic standard of those seeking admission. International students, in particular, should also recognise the need to be proficient in English at the start of the programme, hence the College's English language requirement.
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