Studyportals
M.Sc. Online

Machine Learning and Data Science

Coursera

24 months
Duration
15000 GBP/year
15000 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

In this Machine Learning and Data Science course offered by Coursera in partnership with 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. 

Overview

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.

Career Outcomes

This Machine Learning and Data Science course offered by Coursera in partnership with Imperial College London 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.

Programme Structure

Courses include:

  • Ethics in Data Science and Artificial Intelligence
  • Programming for Data Science
  • Applicable Maths
  • Exploratory Data Analytics and Visualisation
  • Supervised Learning
  • Big Data: Statistical scalability with PySpark
  • Bayesian Methods

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Credits

90 ECTS

Delivered

Online
  • Self-paced

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • 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 (equivalent to IELTS 7.0).

Tuition Fee

To alway see correct tuition fees
  • International

    15000 GBP/year
    Tuition Fee
    Based on the tuition of 30000 GBP for the full programme during 24 months.
  • National

    15000 GBP/year
    Tuition Fee
    Based on the tuition of 30000 GBP for the full programme during 24 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Machine Learning and Data Science
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Coursera

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