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Data Science MSc

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May 2019: Please note that this course has been in high demand and is not currently accepting additional applications for 2019 entry. We suggest you consider our Urban Informatics MSc course, which is still accepting 2019 applications. 

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.

The course information sheet is a printable version of the information on this web page, which you can download here.


  • 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.

Key information

Application status Closed

Duration 1 Year FT, commences in September

Study mode Full-time

Credit value UK 180/ECTS 90

Course intake 50 FT

Course leaders Dr Michael Spratling

Further details

Course contact for further information

Postgraduate Admissions Team, Admissions Office
tel: +44 (0)20 7848 7000
fax: +44 (0)20 7848 7200
https://www.kcl.ac.uk/study/postgraduate/apply/enquiry-form.aspx

Course contact form Postgraduate admissions

Awarding institution King's College London

Faculty Faculty of Natural & Mathematical Sciences

Department Department of Informatics

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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 assessment

Teaching

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.

Assessment

The 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.

Structure

Year 1

Courses are divided into modules. You will normally take modules totalling 180 credits.

Required Modules

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)
Optional Modules

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.

Entry requirements & how to apply

Data Science MSc Entry Requirements
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. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents.
References Yes Two references are required with at least one academic. Professional references will be accepted if you have completed your qualifications over five years ago.
Other Optional Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application

 

Application closing date

We recommend that you submit your application as soon as possible.  Our first application deadline is the 29 March 2019.  Applications will remain open if places are available and programmes will be closed as soon as they are full. 

May 2019: Please note that this course has been in high demand and is not currently accepting additional applications for 2019 entry. We suggest you consider our Urban Informatics MSc course, which is still accepting 2019 applications. 

 

Help and support

If you don't have a suitable qualification for direct entry to a UK university, or if English isn't your first language, our academic preparation courses can help you get ready for study in the UK.

Preparation courses

Fees and funding

  • Full time Home/EU fees: £9,990 per year (2019/20)
  • Full time overseas fees: £25,500 per year (2019/20)

Students starting their programme in 2019/20 who are eligible to pay EU fees will pay the same rate of tuition fees as UK students. This will apply for the duration of their programme, but may be subject to change by the UK Government for subsequent cohorts from 2020/21.

These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.

Deposit

When you receive an offer for this course you will be required to pay a non-refundable deposit to secure your place. The deposit will be credited towards your total fee payment.

The UK/EU deposit is £500.

The INTERNATIONAL deposit is £2,000. 

  • If you receive an offer on or before 31st March 2019, payment is due by 27th April 2019.
  • If you receive an offer between 1st April 2019 and 30th June 2019, payment is due within one month of receiving the offer.
  • If you receive an offer between 1st July 2019 and 31st July 2019, payment is due within two weeks of receiving the offer.
  • If you receive an offer on or after 1st August 2019, payment is due within one week of receiving the offer.

If you are a current King’s student in receipt of the King's Living Bursary you are not required to pay a deposit to secure your place on the programme. Please note, this will not change the total fees payable for your chosen programme.

 

Additional costs/expenses

In addition to your tuition fees, you can also expect to pay for: 

  • Books, if you choose to buy your own copies 
  • Clothing for optional course related events and competitions 
  • Course packs, which are a vital part of your learning at King's and normally contain extracts from books and other useful documents that will inform your study.
  • Library fees and fines 
  • Personal photocopies 
  • Printing course handouts 
  • Society membership fees 
  • Stationery 
  • Travel costs for travel around London and between campuses 
  • Graduation costs

Please visit our web pages on fees and funding for more information.

Financial help and support

Visit the fees and funding webpages to find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans and other financial help available at King's.

Testimonials

Federico

Federico

From statistics lectures to machine learning tutorials, the Data Science MSc will give you everything you need to understand the power of data and to start using it. At King's there are outstanding researchers and professors as well as a huge amount of resources that guided me through my studies.

Next steps

Upcoming events

Nov 6 Electronic Engineering Taster Day
Nov 6 Chemistry Taster Day
Nov 13 Computer Science Taster Day

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