Data Science MSc
Study modes: Full-time, Part-time
Programme website: Data Science
Data science is the study of the computational principles, methods, and systems for extracting and structuring knowledge from data; and the application and use of those principles. Large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care.
As an MSc Data Science student you will explore how to efficiently find patterns in these vast streams of data. Many research areas have tackled parts of this problem. Machine learning focuses on finding patterns and making predictions from data; ideas from algorithms and databases are required to build systems that scale to big data streams; and separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.
You follow two taught semesters of lectures, tutorials, project work and written assignments, after which you will learn research methods before individual supervision for your project and dissertation.
- Informatics Research Review
- Informatics Project Proposal
You are also required to take a breadth of courses in data science, with at least one in each of the following areas:
- Machine Learning, Statistics and Optimization
- Databases and Data Management
You can take up to two courses from other schools.
Find out more about compulsory and optional courses
We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.
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|MSc||Data Science||2 Years||Part-time||Programme structure 2019/20|
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The School of Informatics' MSc in Data Science is designed to attract students who want to establish a career as a data scientist in industry or the public sector, as well as students who want to explore the area prior to further training such as in our CDT in Data Science.
The learning objectives of the degree are to foster:
- A breadth of knowledge across the data science areas
- An advanced technical background in at least one of the data science areas
- An appreciation for real-world problems involving the use of data in industry, science, and the public sector
- Research experience in one of the data science areas.
You will develop specialist, advanced skills in data science methods and their applications. You will gain practical experience and a thorough theoretical understanding of the field, making you attractive to a wide range of employers or preparing you for further academic study.
A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics, psychology or another quantitative discipline.
Entry to this programme is competitive. A typical offer will normally require a UK first class honours degree.
You should have experience of computer programming equivalent to an introductory programming course and have completed the equivalent to 60 credits of mathematics during your degree that have typically covered the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability (concepts in discrete and continuous probabilities, Markov chains etc.)
Check whether your international qualifications meet our general entry requirements:
English language requirements
You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.
English language tests
We accept the following English language qualifications at the grades specified:
IELTS Academic: total 6.5 with at least 6.0 in each component
TOEFL-iBT: total 92 with at least 20 in each section
PTE Academic: total 61 with at least 56 in each of the Communicative Skills scores
CAE and CPE: total 176 with at least 169 in each paper
Trinity ISE: ISE II with distinctions in all four components
Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, PTE Academic or Trinity ISE, in which case it must be no more than two years old.
Degrees taught and assessed in English
We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:
We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries.
If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study.
Find out more about our language requirements:
Tuition fee deposit
If you receive an offer of admission, either unconditional or conditional, you will be asked to pay a tuition fee deposit of £1,500 to secure your place on the programme*.
*(Revised 10 January 2020 to remove deposit deadline information.)
Find out more about tuition fee deposits:
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UK government postgraduate loans
If you live in the UK, you may be able to apply for a postgraduate loan from one of the UK’s governments. The type and amount of financial support you are eligible for will depend on your programme, the duration of your studies, and your residency status. (Programmes studied on a part-time intermittent basis are not eligible.)
Other funding opportunities
Search for scholarships and funding opportunities:
Select your programme and preferred start date to begin your application.
MSc Data Science - 1 Year (Full-time)
MSc Data Science - 2 Years (Part-time)
MSc Data Science - 3 Years (Part-time)
|Programme start date||Application deadline|
|14 September 2020||31 March 2020|
Due to high demand, this programme operates an application deadline. We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the advertised deadline. Decisions will be made as soon as possible once the deadline has passed.