Overview
Accelerate your career in industry or research with this online, part-time Machine Learning and Data Science at Imperial , integrating mathematical rigor with practical machine learning and data science skills.
You’ll gain expertise in tackling complex data by implementing scalable solutions using industry-standard tools, including PySpark. You’ll enhance your analytical abilities in mathematics and statistics and also explore the limitations of machine learning methods and learn how to ethically apply these techniques to your work.
Finally, you will have the opportunity to apply the knowledge you have gained from the taught programme through an extensive research project, carried out in collaboration with a member of academic staff.
Programme Structure
Core modules include:
- Programming for Data Science
- Applicable Mathematics
- Exploratory Data Analytics and Visualisation
- Supervised Learning
- Ethical Machine Learning and Data Science
Lecturers
Course Director: Professor Nick Heard
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Deadlines:
- Round 2: 7 January
- Round 3: 11 March
- Round 4: 29 April
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 57 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
- The minimum requirement is a 2.1 degree in mathematics, applied mathematics, engineering or physics.
- A wide variety of international qualifications are accepted.
- The academic requirement above is for applicants who hold or who are working towards a UK qualification.
Tuition Fees
-
International Applies to you
Applies to youNon-residents19950 GBP / year≈ 19950 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents19950 GBP / year≈ 19950 GBP / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Machine Learning and Data Science (Online).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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