MSc Data Science and its Applications
The University of Greenwich
Key Information
Campus location
London, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
GBP 11,000 / per year *
Application deadline
Request info
Earliest start date
Request info
* home £1,850 per 30 credits
Introduction
Enter the exciting world of data science whatever your academic background! Our MSc in Data Science and its Applications course has been designed to increase the skilled workforce and diversity in qualified data science experts in the UK market. The programme is tailored to transform professionals from a wide range of backgrounds into accomplished data scientists who are well-placed to enhance their existing careers with an expansive set of data science skills, to move fully into data science roles, or to pursue further data science specialisations.
This course also offers 30 scholarships (£10,000 each) and are available exclusively for UK domicile students who are female, black, disabled, or from low socioeconomic background (Index of Multiple Disadvantage quintiles 1 and 2, low household income).
You can choose from a number of optional modules in different applications of data science, enabling you to tailor the programme to your areas of interest and career aspirations. You will see how your existing skills can be complemented and enhanced by the acquisition of data science knowledge. Graduates pursue careers in private and public companies, government and non-governmental organisations.
What you should know about this course
- 30 x £10,000 scholarships available to eligible students (course fee £10,500)
- Tailor the programme to your areas of interest and career aspirations - choose from a number of optional modules in different applications of data science
- Study a course that will help you move into a career in a computer related subject
- Gain a solid foundation in programming and mathematical skills needed to move to a career in Data Science and its applications
- Enhance your employability prospects in a fast-growing application sector.
Admissions
Scholarships and Funding
There is a range of financial support options available to support your studies, including the Aspire@Greenwich award for study resources that many full-time students will receive.
Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management and financial hardship.
Curriculum
Year 1
Full time
Students are required to study the following compulsory modules.
- Databases and Data Infrastructure (10 credits)
- Ethics and Governance (10 credits)
- Group Project (30 credits)
- Individual Project (30 credits)
- Machine Learning and its Applications (15 credits)
- Principles of Data Science (15 credits)
- Programming for Data Science (15 credits)
- Research Project Management (10 credits)
- Mathematics and Statistics for Data Science (15 credits)
Students are required to choose 30 credits from this list of options.
- Advanced Programming for Data Science (15 credits)
- Data Science for Medical Applications (15 credits)
- Data Visualisation and its Applications (15 credits)
- Graph Theory and its Applications (15 credits)
- Spatial Data Science (15 credits)
Part time
Year 1
Students are required to study the following compulsory modules.
- Machine Learning and its Applications (15 credits)
- Programming for Data Science (15 credits)
- Mathematics and Statistics for Data Science (15 credits)
Students are required to choose 15 credits from this list of options.
- Advanced Programming for Data Science (15 credits)
- Data Science for Medical Applications (15 credits)
- Data Visualisation and its Applications (15 credits)
- Graph Theory and its Applications (15 credits)
- Spatial Data Science (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Databases and Data Infrastructure (10 credits)
- Ethics and Governance (10 credits)
- Group Project (30 credits)
- Individual Project (30 credits)
- Principles of Data Science (15 credits)
- Research Project Management (10 credits)
Students are required to choose 15 credits from this list of options.
- Advanced Programming for Data Science (15 credits)
- Data Science for Medical Applications (15 credits)
- Data Visualisation and its Applications (15 credits)
- Graph Theory and its Applications (15 credits)
- Spatial Data Science (15 credits)
Program Outcome
You will learn about many interesting topics in modern data science and be able to apply your data handling skills to real-world problems in a variety of applied fields. You will learn many practical skills that will enable you to critically analyse, solve and evaluate data-heavy projects – skills that are vital for both employment and further studies.
Program Tuition Fee
Career Opportunities
What sort of careers do graduates pursue?
Graduates from the MSc Data Science and its Applications course are equipped for a career in Data Science and its applications or progress further in their field of choice.
Do you provide employability services?
Our services are designed to help you achieve your potential and support your transition towards a rewarding graduate career.
The Employability and Careers Service provides support when you are preparing to apply for placements and graduate roles. It includes CV clinics, mock interviews and employability skills workshops.
Each School also has its own Employability Officer, who works closely with the industry and will provide specific opportunities relevant to your own course.