About the Programme
Data science is defined as a systematic enterprise that builds and organises knowledge in the form of testable explanations and predictions. (Dhar, V., Communications of the ACM, Vol 56 No. 12, pg 64-73, http://cacm.acm.org/ magazines/2013/12/ 169933-data-science- and-prediction/abstract
This master in data science will provide data scientists with the skills needed to be productive in a world of data and ‘big data’.
Benefits
The online MSc Data Science is suitable if you are currently employed in a data-related role in your company, it could be a technical, software or business context position for which you would like to enhance your skills.
Aimed at existing professionals this data science online course provides a framework to focus on the particular requirements of your organisation and your individual professional developmental requirements.
PROGRAMME AT A GLANCE
University: The Times Higher Education places us in the top 5% of world universities. We are number 1 in the UK for nurturing student talent, according to the 2017 Guardian University Guide.
Mode of study: Online
Entry Requirements
The entry requirements for this course is normally a Bachelor’s degree at 2:2 or above in an appropriate field, for example, software development, business or computing analytics. The University may also consider qualifications that demonstrate acquired knowledge at SCQF level 10.
Applicants would normally be in a job role related to data science and would have some experience in associated technologies such as databases, software development and related fields.
If English is not your first language, you will need to undertake an approved English language test. You can discuss the available options with your personal academic consultant.
Career Path
Being employed as a ‘data scientist’ already the potential for growth is in-house and within your company, where you could possibly head a data science department.
Progression
- Doctorate in Business Administration(DBA)
- Doctor of Philosophy(PhD)
Program taught in:
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