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Featured byQueen Mary University of London
Overview
This module's interactive learning sessions allow students to acquire the hands-on and on-screen experience they need in exploring the rapidly evolving landscape of machine learning and data science. Students will work collaboratively to draw conclusions and extract useful information from available datasets while gaining the invaluable skills on how to interpret and report their analysis and results for informed decision making purposes.
Key Facts
The Machine Learning and Data Science Skills for Data-Driven Decision Making course offered by Queen Mary University of London also aims to address the current needs of the prospective students to develop the following most in-demand skills in data science: how to use scientific computing methods to handle, cleanse, transform, and validate data with the purpose of gaining insights from a wide range of datasets; how to present available data using charts, graphs, tables and more sophisticated visualisation tools; how to model data and perform statistical analysis and ad hoc queries; how to report on key findings and useful information extracted from analysed datasets and how to summarise and communicate results to mixed audiences.
Programme Structure
You will learn/develop:
- basic commands in Python and learn how to manipulate data using this programming language
- how to use TensorFlowTM tools to optimise neural networks and convolutional neural networks as examples of machine-learning algorithms
- a comprehension of machine-learning algorithms and their use.
- understand the principles of optimisation algorithms and the role of activation functions in neural networks
- understand the concept of overtraining of hyperparameters for a machine-learning algorithm, and how that can be spotted using data samples
- understand the concept of the Receiver Operating Characteristic (ROC) curve and how the area under this curve can be used to select models based on the ability to separate signal from background
Key information
Duration
- Full-time
- 19 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
IELTS 7
TOEFL® IBT 92
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Credits
15 alternative credits
Delivered
On Campus
Disciplines
Computer Sciences Web Technologies & Cloud Computing Machine Learning View 160 other Short Courses in Computer Sciences in United KingdomWhat students do after studying
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Academic requirements
GPA 3
English requirements
IELTS 7
TOEFL® IBT 92
Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Queen Mary University of London and/or in United Kingdom, please visit Student Insurance Portal.
Other requirements
General requirements
We accept a range of qualifications:
- if your home institution uses the four-point Grade Point Average (GPA) scale, we usually require a 3.0 GPA
- if your home institution uses the letter scale, you will need to have a B+
- if your home university uses the UK scale, we require a 2:1 average
- if your home university uses a percentage scale, we usually require a minimum 65% average
- If you hold a degree from a majority English speaking country plus Canada you may use this degree to satisfy the English language requirements for entry, provided the degree was completed no more than 5 years before the start date of the course to which you are applying.
- An IELTS score of 7 or higher, for the majority of courses
- An IELTS score of 6.5 or higher for science-based courses
- A TOEFL iBT score of 92 or higher
- CET4 - 550 or CET 6 - 493
- A degree taught in English within the last five years*
Tuition Fee
To always see correct tuition fees
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International
2500 GBP/fullTuition FeeBased on the tuition of 2500 GBP for the full programme during 19 days. -
National
2500 GBP/fullTuition FeeBased on the tuition of 2500 GBP for the full programme during 19 days.
If you choose to study for 2 sessions you automatically receive a tuition fee discount
- One Session £2500
- Both Sessions £4900
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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