Program Overview

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Data Science and its Applications, MSc

Our MSc degree in Data Science and its Applications is designed to provide you with a solid grounding in data science theory and practice.

Course Overview

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.

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.

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.

School

Computing and Mathematical Sciences

Location

Greenwich Campus

Duration

• 1 years full-time
• 2 years part-time

Start month

September

Fees

• Home: £11,325
• International: £18,700

What you should know about this course

• 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.

Course Outline

Full time

Part time

Year 1

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)
• Spatial Data Science (15 credits)

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)
• 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)
• Spatial Data Science (15 credits)

Entry Requirements

UK citizens and permanent residents

An undergraduate (honours) degree at 2:2 or above, in any non-STEM (eg economics, business, arts) or far-STEM subject (eg: biology, geography, psychology, medicine), and GCSE Mathematics grade 4/C or equivalent.

Applicants who hold an undergraduate or postgraduate degree in the same broad subject area as this course (eg: computer science, AI, data science) or in a core-STEM subject (eg: physics, engineering, mathematics, statistics, IT) will be considered for MSc Data Science, a specialist course designed for applicants with this background.

Priority will be given to applicants who are women, black, registered disabled or from low socioeconomic background (Index of Multiple Disadvantage quintiles 1 and 2, low household income).

International entry requirements

The University of Greenwich accepts a broad range of international qualifications for admission to our courses.

For detailed information on the academic and English language requirements, please find your country in our directory.

Alternatively, please contact us at .

How you will learn

Teaching

In a typical week, learning takes place through a combination of lectures, tutorials and practical work in the labs. You'll be able to discuss and develop your understanding of topics covered in lectures in smaller group sessions, and apply this knowledge in practice in the specialised computer laboratories.

Teaching hours may fall between 9am and 9pm, depending on your elective courses and tutorials.

Class sizes

Lectures are usually attended by larger groups and seminars/tutorials by smaller groups. This can vary more widely for modules that are shared between degrees.

Independent learning

Outside of timetabled sessions, you'll need to dedicate time to self-study to complete coursework, and prepare for presentations and exams. Our Stockwell Street library and online resources will support your further reading and research.

You can also join a range of student societies, including our Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.

Overall workload

Your overall workload consists of lectures, tutorials, labs, independent learning, and assessments. For full-time students, the workload should be roughly equivalent to a full-time job. For part-time students, this will reduce in proportion with the number of modules you are studying.

Assessment

On this course, students are assessed by coursework, examinations and a project. Some modules may also include 'practice' assessments, presentations, demonstrations, and reports, which help you to monitor progress and make continual improvement.

Feedback summary

We aim to give feedback on assignments within 15 working days.

Dates and timetables

The academic year runs from September to the end of August, as the students are working on their project full-time during the summer months.

Full teaching timetables are not usually available until term has started. For any queries, please call .

Fees and funding

University is a great investment in your future. English-domiciled graduate annual salaries were £10,500 more than non-graduates in 2023 - and the UK Government projects that 88% of new jobs by 2035 will be at graduate level.

(Source: DfE Graduate labour market statistics: 2023/DfE Labour market and skills projections: 2020 to 2035).

Cohort | Full time | Part time | Distance learning
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Home | £11,325 | £1,887 per 30 credits | N/A
International | £18,700 | £3,117 per 30 credits | N/A

Fees information

Accommodation costs

Whether you choose to live in halls of residence or rent privately, we can help you find what you're looking for. University accommodation is available from £126.35 per person per week (bills included), depending on your location and preferences. If you require more space or facilities, these options are available at a slightly higher cost.

Accommodation pages

Scholarships and bursaries

We offer a wide range of financial help including scholarships and bursaries.

The Greenwich Bursary

This bursary is worth £700 for new undergraduate students with a low household income, entering Year 0 or 1 who meet the eligibility criteria.

The Greenwich Bursary

EU Bursary

Following the UK's departure from the European Union, we are supporting new EU students by offering a substantial fee-reduction for studying.

The EU bursary

Financial support

We want your time at university to be enjoyable, rewarding, and free of unnecessary stress, so planning your finances before you come to university can help to reduce financial concerns. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Funding your studies

If there are any field trips, students may need to pay their own travel costs.

Careers and placements

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.

More about Careers.

Support and advice

Academic skills and study support

We want you to make the most of your time with us. You can access study skills support through your tutor, lecturers, project supervisor, subject librarians, and our academic skills centre.

We provide additional support in Mathematics.

Support from the department

As a student in the School of Computing and Mathematical Science, you will be able to enter our Oracle mentoring scheme. This helps you liaise with industry for advice on careers, professional insight, job-hunting, and you'll also develop skills to boost your employability.