The Data Science MSc provides advanced technical and practical skills in the collection, collation, curation and analysis of data. This is an ideal study pathway for graduates with a background in quantitative subjects, or who possess relevant work experience, who want to gain experience in current methods and techniques of data science.
- Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).
- You will gain an in-depth understanding of the general principles of the computational and statistical approaches and methods used in data science, as well as their underlying assumptions and limitations.
- Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
- The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
Who should take this course
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
- 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.
Courses are divided into modules. You will normally take modules totalling 180 credits.
You 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.
- Full time Home/EU fees:
About Course Provider
King's College London is one of the top 10 UK universities in the world (QS World University Rankings, 2018/19) and among the oldest in England.
King's vision is to make the world a better place, building on our history of pioneering research that has advanced and shaped modern life, such as: the discovery of the structure of DNA; research to better understand autism and develop life-changing therapies; informing air pollution awareness and policy; research that led to the development of radio, radar, television and mobile phones; and making maths available to the underprivileged. These are all ways that we are having a transformational impact on society.
Our intellectually rigorous teaching environment is coupled with a commitment to providing a rich and supportive student experience. We have more than 31,000 students (of whom nearly 12,800 are postgraduates, with 1,000 students enrolled in online masters courses) from 150 countries worldwide, meaning that students are part of a truly international community. Our 8,500 members of staff collaborate with students to help them get the most out of their degree. Many of our academics are also researchers working within and influencing their industries, meaning that students learn the latest thinking and understand its practical and contemporary relevance.
King's College London and Guy's and St Thomas', King's College Hospital and South London and Maudsley NHS Foundation Trusts are part of King's Health Partners. King's Health Partners Academic Health Sciences Centre (AHSC) is a pioneering global collaboration between one of the world's leading research-led universities and three of London's most successful NHS Foundation Trusts, including leading teaching hospitals and comprehensive mental health services.
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