Postgraduate prospectus

Data Science, MSc

Our MSc in Data Science equips graduates to embark on highly skilled careers in data science, artificial intelligence and machine learning.

This specialist Master's in Data Science provides a theoretical knowledge of data science alongside the practical skills that will help you prosper in the jobs market.

You'll be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualisation. For the MSc project, you may have the opportunity to undertake a collaborative project within industry.

This course is now closed for September 2021 but we welcome applications to begin in January 2022.

Campus

Greenwich

Duration

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

Start month

September; January

Home/international fees

2020/2021 fees *

View fees

2021/2022 fees

* January 2021 starters pay the 2020/2021 fees.

2021/2022 fees

What you should know about this course

  • You will learn about many interesting topics in modern data science statistics, data visualisation, programming, machine learning, and data visualisation, plus application areas such as business intelligence.
  • We will provide you with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.
  • Gain practical skills for careers within this specialised field.

About our MSc Data Science


Want to find out more about studying a Master's in Data Science at the University of Greenwich? Hear from the course leader, Dr Tatiana Simmonds.

What you will study

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Course information is currently unavailable for this programme. Please contact course-info@gre.ac.uk for more information.

About the course team

Welcome to our Masters in Computer Science (Data Science), which is taught from within the School of Computing and Mathematical Sciences. Your teaching team includes academics and practitioners with experience in various aspects of Computer Science such as Big Data. The majority of the team holds a teaching qualification.

Come and meet us

Given the current situation with Covid-19, we are offering virtual events so that you can still experience how Greenwich could be the right university for you.

Next Open Days

Got a question?

To find out more about our Open Days and Campus Tours or if you need any assistance, please email opendays@gre.ac.uk.

Entry requirements

If you are

Applicants should have:

  • A good degree (equivalent to UK 2:2 or higher) in a computing-related subject or in a suitable numerate subject (e.g. mathematics, physics, engineering, information systems or multimedia) that includes software development experience.
  • Or, substantial commercial/industrial experience including software development using modern programming languages and design.

For more information, contact courseinfo@greenwich.ac.uk or 020 8331 9000.

You can also read our admissions policy.

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:

Further information about entry

We welcome applications from mature students and/or students with professional work backgrounds.

Available to overseas students?

Yes

Can I use prior learning?

For entry: applicants with professional qualifications and/or four years of full-time work experience will be considered on an individual basis.

For exemption: If you hold qualifications or courses from another higher education institution, these may exempt you from courses of this degree.

How you will learn

Covid safe teaching and learning

We are looking forward to welcoming students to our campuses for 2021/22 and we are committed to delivering as much of our teaching, learning and student activity as possible face-to-face and on campus for the 2021/22 academic year. Please note that UK Coronavirus policy continues to adapt to ongoing changes. Our plans may need to change and we may need to move activity online at short notice in response to any changes in Government guidance and Covid safety requirements.

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 to put your knowledge into practice in our specialist computer laboratories.

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

Class sizes

Information coming soon.

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 Society, Ethical Hackers Society, Games Development Society and MathSoc (The Mathematics 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 June.

Full teaching timetables are not usually available until term has started. For any queries, please call 020 8331 9000.

* Calculated as an average of compulsory and optional modules (where applicable each year). You can find out more detail about how individual modules are taught within the 'What you will study' section.

Fees and funding

Your time at university should be enjoyable, rewarding, and free of unnecessary stress. 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.

2020/2021 fees

Full-time (per year) Part-time (per 30 credits)
View fees

* January 2021 starters pay the 2020/2021 fees.

2021/2022 fees

Full-time (per year) Part-time (per 30 credits)
View fees

Fees information International fees

Fees are assessed based on your country of domicile, with students domiciled in the EU charged international fees. If you are unsure, find out more about how your fee status is assessed.

Accommodation costs

Whether you choose to live in halls of residence or rent privately, we can help you find what you're looking for. We have dedicated accommodation for postgraduate students (Devonport House) available from just £160 per person per week, with bills included. If you require more space or facilities, these options are available at a slightly higher cost. Students based at the Medway Campus can also reside in student halls in Chatham or rent privately in the local area.

Accommodation pages

There is a range of financial support available to support your studies. This includes postgraduate loans, international scholarships, and options for current students and alumni to continue studying at the university. EU students may be eligible for a bursary to support their study. View our EU bursary to find out more.

We also provide advice and support on budgeting, money management and financial hardship.

Financial support

Other costs

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

Careers and placements

Will I have a work placement?

The School has a collaboration programme called 'Nurture' with Eden Smith data consultancy who help students on this course find MSc projects in industry.

How long is my placement?

The duration depends on the nature of the individual project, but can last around 2-4 months.

What are the financial arrangements?

Payment is not guaranteed for these placements, though each employer will have their own arrangements to offer which occasionally includes remuneration.

What sort of careers do graduates pursue?

Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern artificial intelligence systems.

Are internships available?

You may be able to undertake a summer internship, offering a minimum of six weeks' full-time work.

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.

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 academic English and mathematics.

Support from the department

As a Computing and Mathematical Science School student you can enter our Oracle mentoring scheme. This helps students to liaise with industry for advice on careers, professional insight, guidance in looking for jobs, and developing employability and presentation skills.

Accommodation information

Accommodation pages

Not quite what you were looking for?

We've got plenty of other courses for you to choose from. Browse our postgraduate taught prospectus or check our related courses below.

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Visit our computer science subject page.

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Apply now

If you are a UK student or have settled/pre-settled status (EU) and you want to study full-time then you apply through the Universities and Colleges Admission Service (UCAS).

If you are a UK student or have settled/pre-settled status (EU) and you want to study part-time then you apply to the university directly.

If you are from outside the UK, you can apply through our website, one of our agents, or the Universities and Colleges Admission Service (UCAS). If you require a student visa, you cannot study part-time at undergraduate level.

If you are from outside the UK, you can apply through our website, one of our agents, or the Universities and Colleges Admission Service (UCAS). If you require a student visa, you cannot study part-time at undergraduate level.