12 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
All organisations face the challenge of how to analyse and use data. On this course, you'll learn data science concepts and how to support data-driven approaches to problem-solving within complex organisational and societal contexts.
Gain an in-depth understanding of the theory and practice of data science and its application in different organisational contexts. Our course is open to applicants from diverse backgrounds and disciplines such as the arts and humanities, business and STEM - you don’t need to have any previous experience in Data Science.During the course, you'll be provided with a set of fundamental principles that support the ethical extraction of information and knowledge from data. Case studies will help to demonstrate the practical application of these principles to real life problems.
The programme is centred on three key aspects of data science: fundamental data-related principles, supporting infrastructures, and organisational and societal contexts.
You'll gain practical skills in handling structured and unstructured data, analysing and visualising data, data mining, as well as gaining hands-on experience of software tools used and their use in real-world settings. You'll also develop the skills of a data manager who understands what algorithms (e.g., for data mining or handling ‘big data’) can do and when to use them for the benefit of the organisation.
Throughout the programme, there will be opportunities to gain hands-on experience using a variety of tools, such as R, Python, SPSS, KNIME or Tableau*. You'll conduct in-depth research into your particular areas of interest for your dissertation. The Faculty of Social Sciences also holds a variety of events to develop your skills, such as our recent Data and Design Hackathon.
*Although you're not required to have any knowledge of these tools before starting the course, it may be advantageous to read up on these in advance.
Accreditation This MSc programme is accredited by the Chartered Institute of Library and Information Professionals (CILIP), the UK's professional association for library, information, and knowledge management professionals. CILIP has reciprocal agreements with other national professional bodies including American Library Association (ALA), the Australian Library and Information Association (ALIA) and the Library Association of Ireland (LAI).
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
All organisations face the challenge of how to analyse and use data. On this course, you'll learn data science concepts and how to support data-driven approaches to problem-solving within complex organisational and societal contexts.
Gain an in-depth understanding of the theory and practice of data science and its application in different organisational contexts. Our course is open to applicants from diverse backgrounds and disciplines such as the arts and humanities, business and STEM - you don’t need to have any previous experience in Data Science.During the course, you'll be provided with a set of fundamental principles that support the ethical extraction of information and knowledge from data. Case studies will help to demonstrate the practical application of these principles to real life problems.
The programme is centred on three key aspects of data science: fundamental data-related principles, supporting infrastructures, and organisational and societal contexts.
You'll gain practical skills in handling structured and unstructured data, analysing and visualising data, data mining, as well as gaining hands-on experience of software tools used and their use in real-world settings. You'll also develop the skills of a data manager who understands what algorithms (e.g., for data mining or handling ‘big data’) can do and when to use them for the benefit of the organisation.
Throughout the programme, there will be opportunities to gain hands-on experience using a variety of tools, such as R, Python, SPSS, KNIME or Tableau*. You'll conduct in-depth research into your particular areas of interest for your dissertation. The Faculty of Social Sciences also holds a variety of events to develop your skills, such as our recent Data and Design Hackathon.
*Although you're not required to have any knowledge of these tools before starting the course, it may be advantageous to read up on these in advance.
Accreditation This MSc programme is accredited by the Chartered Institute of Library and Information Professionals (CILIP), the UK's professional association for library, information, and knowledge management professionals. CILIP has reciprocal agreements with other national professional bodies including American Library Association (ALA), the Australian Library and Information Association (ALIA) and the Library Association of Ireland (LAI).
Admission Requirements
Minimum 2:1 undergraduate honours degree in any subject.
We assess each application on the basis of the applicant’s preparation and achievement as a whole. We may accept applicants whose qualifications don’t meet the published entry criteria but have other experience relevant to the course.
If required degree subjects and modules are listed, these are indicative only. Sometimes we may accept subjects or modules that aren’t listed, and sometimes we may not accept subjects or modules that are listed, depending on the content studied.
English language requirements
IELTS 6.5 (with 6 in each component) or University equivalent
Other requirements
We will not ask you to provide references or referee details as part of your application.
We do not require a supporting statement for this programme.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
Get closer to your dream programme
Your consent preferences have been set.
Time to start exploring.
Your account has been removed.
You can still browse the site or sign up again once you have parental consent.
Get closer to your dream programme