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.
- Separate research areas have grown around different types of unstructured data such as text, images, sensor data, video, and speech.
You will follow two taught semesters of lectures, tutorials, project work and written assignments. During this time you will also learn research methods (such as literature review and project planning) to prepare for your final project and dissertation, which is completed during the summer.
You are also required to take a breadth of courses in data science, with at least one in each of the following areas (examples of courses recently offered in each area are listed in parentheses):
- Machine Learning, Statistics and Optimization (e.g., Machine Learning and Pattern Recognition, Statistical Programming, Large Scale Optimization for Data Science)
- Databases and Data Management (e.g., Introduction to Databases, Extreme Computing, Advanced Database Systems)
- Applications (e.g., Text Technologies for Data Science, Accelerated Natural Language Processing, Image and Vision Computing)
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.
|MSc||Data Science||1 Year||Full-time||Programme structure 2022/23|
|MSc||Data Science||2 Years||Part-time||Programme structure 2022/23|
|MSc||Data Science||3 Years||Part-time||Programme structure 2022/23|
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 or research.
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.
You will be based in the School of Informatics’ main teaching building, Appleton Tower. The building provides purpose-built facilities and dedicated learning and teaching spaces, all located in the University's Central Area.
IT facilities include computer labs with more than 250 high-spec machines and comprehensive support provided by dedicated computing staff.
The Informatics Student Support Team is based within the Informatics Teaching Organisation in Appleton Tower.
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These entry requirements are for the 2023/24 academic year and requirements for future academic years may differ. Entry requirements for the 2024/25 academic year will be published on 2 October 2023.
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 of 60 SCQF credits or 30 ECTS 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.)
Students from China
This degree is Band B.
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 7.0 with at least 6.5 in each component.
- TOEFL-iBT (including Home Edition): total 100 with at least 23 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
- C1 Advanced (CAE) / C2 Proficiency (CPE): total 185 with at least 176 in each component.
- Trinity ISE: ISE III with passes in all four components.
- PTE Academic: total 70 with at least 62 in each component.
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, Trinity ISE or PTE, 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 (non-MESC).
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:
If you receive an offer of admission you will need to pay a deposit to secure your place.
- £1,500 (this contributes towards your tuition fees)
Find out more about tuition fee deposits:
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|MSc||Data Science||2 Years||Part-time||Tuition fees|
|MSc||Data Science||3 Years||Part-time||Tuition fees|
School of Informatics scholarships
Scholarships and student funding
You can find funding opportunities, tuition fees and costs of living for prospective UK and international postgraduate students on the University website.
You are also encouraged to undertake your own research into the range of potential scholarships and other funding outside the University for which you may be eligible.
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|
|11 September 2023||31 March 2023|
Due to high demand on our programmes, the School of Informatics operates an application deadline of 31 March.
We will make a small number of offers to the most outstanding candidates on an ongoing basis, but will hold the majority of applications until the advertised deadline.
Decisions will be made as soon as possible once the deadline has passed. We expect to make the majority of decisions within eight weeks of the deadline.
The deadline may be extended if there are any places remaining on the programme.
|Programme start date||Application Deadline||Expected Decision date|
|11 September||31 March||31 May|
(Revised 10 November 2022 to clarify when decisions on applications will be made)