Data Science
Postgraduate
In London
Description
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Type
Postgraduate
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Location
London
Entry requirements & how to apply
Minimum requirements 2:1
A Bachelor’s degree with 2:1 (Upper Second Class) honours is required in one of the following subject areas:
Computer Science, or Computing
Mathematics, Pure Mathematics, Mathematical Statistics or Statistics
Physics
Natural Science
Electronic Engineering
Geographic Information Systems
Operations Research
In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.
International requirements Visit our admissions webpages to view our International entry requirements.
English Language requirements Band D Visit our admissions webpages to view our English language entry requirements.
Application procedure
Applications must be made online using King’s online application portal apply.kcl.ac.uk and a non-refundable application fee of £80 applies. Your application will be reviewed by the admissions tutor and we aim to respond to applications within four weeks, although this may take longer during busy and holiday periods.
Personal statement and supporting information
You will be asked to submit the following documents in order for your application to be considered:
Personal Statement Yes A personal statement of up to 4,000 characters (maximum 2 pages) is required, explaining why you wish to apply for this programme and why you feel it matches your interests, academic background, and, if relevant, your career plans..
Previous Academic Study Yes A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required
Facilities
Location
Start date
Start date
Reviews
Subjects
- GCSE Mathematics
- Systems
- Project
- International
- Mathematics
- English
- Statistics
- English Language
- Data Mining
- Data warehousing
- Computer Programming
- Data analysis
- Programming
- Computer
- Information Retrieval
- Databases
- Data scientists
- Statistical Learning
Course programme
Course detail Description
The Data Science MSc degree will provide you with the practical skills needed to assemble collate store, manage and analyse data efficiently. You will also gain the skills necessary to select the appropriate statistical and computational data modelling and analysis techniques to evaluate data science activities and projects.
You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project
Course format and assessmentTeaching
We use lectures, seminars and group tutorials to deliver most of the modules on the course. You will also be expected to undertake a significant amount of independent study.
You are expected to spend approximately 10 hours work per credit for each module you attend in your degree, eg 150 hours work for a 15 credit module. These hours cover every aspect of the module.
AssessmentThe primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The individual project will be assessed through a dissertation.
Read more
Structure
Year 1
Courses are divided into modules. You will normally take modules totalling 180 credits.
Required ModulesYou are required to take:
- Computer Programming for Data Scientists (15 credits)
- Databases, Data Warehousing & Information Retrieval (15 credits)
- Statistics for Data Analysis (15 credits)
- Data Mining (15 credits)
- Individual Project (60 credits)
You are required to take 60 credits from a range of optional modules, which may typically include:
- Elements of Statistical Learning (15 credits)
- Statistics in Finance (15 credits)
- Agents & Multi-Agent Systems (15 credits)*
- Nature-Inspired Learning Algorithms (15 credits)*
- Pattern Recognition, Neural Networks & Deep Learning (15 credits)*
- Network Theory (15 credits)
- Big Data Technologies (15 credits
- Simulation & Data Visualisation (15 credits)
- Computer Vision (15 credits)
- Telling Stories with Data (15 credits)
You will also be able to select up to 30 credits form a range of level 6 modules, which may typically include:
- Machine Learning (15 credits)*
- Optimisation Methods (15 credits)*
- Artificial Intelligence (15 credits)*
* These modules are not available if you have previously studied in the Department of Informatics and have already taken this module at Level 6.
King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest that you keep an eye on the course finder on our website for updates.
Data Science