Master of Machine Learning and Data Science

The Machine Learning and Data Science master’s degree is a fully online degree part-time programme, delivered and structured over two-years, with three terms per academic year. You will complete twelve modules over two years, including a research portfolio. On average, you will dedicate 21 hours per week to study working toward key assessment deadlines and dates.

The majority of this time will be independent study- watching videos, reading core material, participating in discussion forums, and completing quizzes and peer reviews, though you can also expect to participate in weekly webinars, office hours, and Q&A sessions. These will be scheduled in advance to help you plan your study time around your other commitments.

The full and detailed learning schedule will be communicated before the programme starts. For 2020 entry the programme will hold it’s online ‘induction’ during September 2020.

The programme is offered on a part-time basis, over 24 months or two years.

No, your diploma will not state that this is an online degree.

This degree prepares students to move their engineering or data science career forward across a wide variety of roles, such as a data scientist, machine learning engineer, or computational statistician. Students will be trained to become deep thinkers, going beyond algorithms to turn data into actionable insights, contribute to strategic decision making, and become responsible, ethical members of this rapidly growing profession.

Yes. There will be regular office hours with programme team staff and Faculty members. Outside of this there will be scheduled sessions and webinars where you will have access to Faculty staff who will instruct and support your learning.

Yes, under the guidance of faculty advisors, you will be working with groups of fellow learners engaged in similar projects as you. As an Imperial graduate, you will join 200,000 alumni in an influential global community.

Yes, many of your instructors will be the same leaders from academic fields such as Statistics and Machine Learning that lecture on campus.

The Master of Machine Learning and Data Science programme will be delivered as a fully online degree. The Coursera learning platform allows learners to flexibly study around their own commitments, like employment, family, hobbies etc. The programme is designed in a way to allow learners to independently study for the majority of the programme, watching teaching sessions and returning to them around their daily schedule. There will be live and scheduled sessions, or group based work which require pre-organised attendance and engagement throughout. Assessments will also have deadlines and require learners to engage and submit when stated.

If you have any questions about the degree programme or admissions then please contact a member of the MLDS Support Team via ml-online-msc@imperial.ac.uk.

There is no on-campus programme for the Master of Machine Learning and Data Science degree at Imperial College London.

Students must take the assigned number of modules per term following the schedule below:

*Research project

Note: Ethics module is split into 3 parts (T1,T3,T5)

Students will be required to complete twelve modules over two years, including a research portfolio.

For 2020 entry, the modules are scheduled to take place each term according to a fixed schedule.

No, the MLDS does not currently offer internships or placements within the degree programme structure.

Applicants are expected to have a quantitative undergraduate degree in a subject like Mathematics, Computer Science, Statistics, Economics, or Physics to ensure there is an appropriate level of understanding to be best to cope with the demands of the programme.

• Our minimum requirement is at least a 2.1 UK Bachelor’s Degree in Statistics, Mathematics, Engineering or Physics.
• The academic requirement above is for applicants who hold or who are working towards a UK qualification.
• We also accept a wide variety of international qualifications. For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College. If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact a member of the MLDS MSc Team via ml-online-msc@imperial.ac.uk.

Applications will be considered for the programme based on the entry requirements, which will need to be met, but also the strength of their supporting statement, plus other work, research, or relevant experience.

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 course, hence the College's English language requirement.

Work experience is not essential but will be considered as part of the review process. Applications will be considered for the programme based on the entry requirements, which will need to be met, but also the strength of the supporting statement plus other work or relevant experience.

No, there is no admissions fee to pay to apply for the programme.

You will need to apply online directly with Imperial College London by registering and applying for the programme via https://imperialuk.elluciancrmrecruit.com/Apply/

Submitting evidence
• To show how you qualify for the programme you are applying for, you will need to provide information about the higher qualifications you have achieved or which you’re currently studying.
• All Imperial applicants must also show that they have a high-level of written and spoken English to meet the demands of our challenging academic environment. Find out more about English language requirements for postgraduate study.
• We can process your application more quickly if you upload scanned copies of the academic transcripts and certificates for the higher education qualifications you already hold when you apply.
• If you receive an offer we may ask you to provide evidence of your previous qualifications as part of the conditions of your offer. Where this applies, you must send the original physical documents by post).

References
• You will need to provide the names of two people who can provide an academic reference in support of your application. An academic reference could be from, for example: Your personal tutor, thesis supervisor, or line manager in a research group.
• One academic and one relevant professional reference may be acceptable – contact the relevant Admissions team for confirmation before you apply.

All candidates must demonstrate a minimum level of English language proficiency for admission to the College. For admission to this course, you must achieve the higher College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.

English Proficiency requirements are set at the Higher requirement with an IELTS score of 7.0 overall (minimum 6.5 in all elements).

The application portal will allow you to submit all transcripts and documents needed.

The academic requirement above is for applicants who hold or who are working towards a UK qualification. We also accept a wide variety of international qualifications. For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College. If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team.

United States export control regulations prevent Coursera from offering services and content to users in certain countries or regions. More information about which countries or regions are affected can be found on Coursera's website. Coursera must enforce these restrictions in order to remain in compliance with US law and, for that reason, we advise that all learners check this information before applying to the programme.