Imperial College London

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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.

Cohorts and Deadlines

Due to the circumstances of COVID-19, it was decided to delay the launch of the programme until October 2021.

Applications are expected to reopen this Fall 2020.

Requirements for Admission

  • At least a 2.1 UK Bachelor’s Degree in Statistics, Mathematics, Engineering or Physics. The academic requirement of a minimum 2.1 is for applicants who hold or who are working towards a UK qualification. For guidance on how qualifications awarded by non-UK institutions may satisfy the College’s minimum academic admission requirements - see Imperial's Country index.
  • 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 (IELTS 7.0). Find out more about our English language requirements for postgraduate study.

Application Process

  • Create an application via the Imperial College ‘Apply’ webpage - this is where you will submit your application.
  • Prepare the information you will need to complete your application, including:
    1) personal statement,
    2) academic transcript(s),
    3) CV/resume, and
    4) referee contact details.

We aim to review applications in detail once all information has been submitted. The process takes 6-8 weeks.

All documentation-including references and proof of English language proficiency-are mandatory. We are unable to make a decision on your application if we have not received your references or other supporting information related to qualifications or english language requirements, so it is important this information and documents are submitted in a timely manner via the Imperial College online system.

Questions about the admissions process or the programme? Please do not hesitate to ask via


At a total cost of £28,000 for a top master's degree, the MSc in Data Science and Machine Learning costs less than most of the traditional on-campus alternatives and much less than other top online programmes for international (non UK/European) students. Students can keep their commitments while earning the degree, studying online on their own schedule.

Tuition fees are the same for all students (UK/EU and overseas).

Financial Aid

Tuition Reimbursement

Students are encouraged to seek tuition reimbursement through their employer. We recommend that you speak with your manager or HR department to see what’s available to you as an employee.

Payment Plan

A 10% deposit is required once you accept the offer to study, within 30 days of receiving the invoice. You will then be invoiced and required to pay the remainder of the year 1 fees at the start of the academic year in October. You will be invoiced and require to pay the year 2 fees at the start of the following academic year in October.

Coursera does not grant credit, and does not represent that any institution other than the degree granting institution will recognize the credit or credential awarded by the institution; the decision to grant, accept, or transfer credit is subject to the sole and absolute discretion of an educational institution. If upon graduation you intend to pursue a PhD or apply for employment which requires a master-level degree beyond 90 ECTS credits, we encourage you to investigate whether this programme meets your academic and/or professional needs before applying.