Gain an in-depth understanding of the theory and practice of Data Science and its application in different organisational contexts. Students will be provided with a set of fundamental principles that support ethical extraction of information and knowledge from data. Case studies will help to show 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 context. Students will 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. They will gain the skills of a data manager who understands what the 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 and SPSS, Weka or Tableau/Spotfire and, although students not required to have any knowledge of these tools before starting the course, it may be advantageous to read up on them in advance. They will also conduct in-depth research into a particular areas of interest for a dissertation.
| Level | Masters |
| Discipline | Computer Science and IT |
| Duration | 12 months |
| Intakes | Jan, Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 28700 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 88 |
| PTE | 61 |
| Duolingo | Not Required / Waiver |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 73%
105
105
151-200
129
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