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Students
Tuition Fee
GBP 18,700
Per course
Start Date
2025-09-01
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Data Science
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 18,700
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


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
---|---|---|---
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.


Program Outline


Data Science and its Applications, MSc - University of Greenwich


Degree Overview:

The MSc in Data Science and its Applications is designed to provide a solid grounding in data science theory and practice. It aims to increase the skilled workforce and diversity in qualified data science experts in the UK market. The program is tailored to transform professionals from various backgrounds into accomplished data scientists, equipping them with the skills to enhance their existing careers, move into data science roles, or pursue further specializations. The program covers a wide range of topics in modern data science, enabling students to apply their data handling skills to real-world problems in various applied fields. Students will learn practical skills for critically analyzing, solving, and evaluating data-heavy projects, skills vital for both employment and further studies.


Outline:


Full-time:

  • Year 1:
  • 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)
  • Optional Modules (Choose 30 credits):
  • 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)

Part-time:

  • Year 1:
  • Compulsory Modules:
  • Machine Learning and its Applications (15 credits)
  • Programming for Data Science (15 credits)
  • Mathematics and Statistics for Data Science (15 credits)
  • Optional Modules (Choose 15 credits):
  • 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:
  • 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)
  • Optional Modules (Choose 15 credits):
  • 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)

Assessment:

  • Students are assessed through a combination of coursework, examinations, and a project.
  • Some modules may include practice assessments, presentations, demonstrations, and reports to monitor progress and facilitate continual improvement.
  • Feedback on assignments is provided within 15 working days.

Teaching:

  • Learning takes place through a combination of lectures, tutorials, and practical work in labs.
  • Smaller group sessions allow for discussion and development of understanding of topics covered in lectures.
  • Specialized computer laboratories provide opportunities to apply knowledge in practice.
  • Teaching hours may fall between 9am and 9pm, depending on elective courses and tutorials.
  • Lectures are usually attended by larger groups, while seminars/tutorials are conducted in smaller groups.
  • The program team consists of experienced academic and industry professionals with extensive experience in various aspects and applications of Data Science.
  • Teaching is informed by research and consultancy work, as well as by the latest teaching best practice.

Careers:

  • Graduates are equipped for a career in Data Science and its applications or to progress further in their field of choice.
  • Each School has its own Employability Officer who works closely with the industry and provides specific opportunities relevant to the course.

Other:

  • The program offers scholarships of £10,000 each, 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).
  • The academic year runs from September to the end of August, with students working on their project full-time during the summer months.
  • Students can join a range of student societies, including the Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.
  • The University offers support in Mathematics.
  • Students can participate in the Oracle mentoring scheme, which provides industry advice on careers, professional insight, job-hunting, and skills development for employability.

  • Home fees 2024/25: £11,000
  • Part time: £1,850 per 30 credits
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University of Greenwich: A Summary


Overview:

The University of Greenwich is a public university located in London and Kent, England. It boasts three campuses: Greenwich, Avery Hill, and Medway. The university is known for its diverse student body, with students from over 150 countries, and its commitment to providing a high-quality student experience.


Services Offered:

The University of Greenwich offers a wide range of services to its students, including:

    Accommodation:

    On-campus accommodation options are available at all three campuses.

    Careers:

    The university provides career guidance and support services to help students find employment after graduation.

    Student Support:

    A variety of support services are available to students, including academic advising, counseling, and disability support.

    Financial Aid:

    Scholarships and bursaries are available to help students finance their studies.

    Digital Student Centre:

    A digital platform offering support for new and returning students.

Student Life and Campus Experience:

The University of Greenwich offers a vibrant and diverse campus experience. Students can expect:

    Lively Students' Union:

    Each campus has a Students' Union that organizes social events, clubs, and societies.

    Modern Facilities:

    The university has invested in modern facilities, including libraries, labs, and sports centers.

    Excellent Transport Links:

    All campuses are easily accessible by public transport, with connections to central London.

    Campus Bus Service:

    A bus service connects the three campuses.

Key Reasons to Study There:

    Award-Winning Research:

    The university is recognized for its high-quality research, which has won numerous awards.

    Gold in the Teaching Excellence Framework (TEF):

    This recognition highlights the university's commitment to providing an outstanding student experience.

    Diverse Community:

    The university welcomes students from all over the world, creating a diverse and inclusive learning environment.

    Flexible Learning Options:

    The university offers a range of flexible learning options, including online and part-time study.

    Strong Graduate Prospects:

    The university has a strong track record of graduate employment, with many graduates going on to successful careers.

Academic Programs:

The University of Greenwich offers a wide range of undergraduate and postgraduate programs across various disciplines. Some of the key academic strengths include:

    Business and Management:

    The university is known for its strong business programs, including MBA and MSc programs.

    Engineering and Technology:

    The university offers a range of engineering and technology programs, including civil engineering, mechanical engineering, and computer science.

    Arts and Humanities:

    The university has a strong reputation in the arts and humanities, with programs in English literature, history, and creative writing.

    Health and Social Care:

    The university offers a range of health and social care programs, including nursing, social work, and psychology.

Other:

  • The university has a strong commitment to sustainability and has launched a university-wide transformation for a Greener future.
  • The university is home to the Greenwich Portraits series, which celebrates the diverse journeys of its students and alumni.

  • Student Life and Campus Experience:

    While the context mentions the Students' Union and facilities, it does not provide detailed information on student life and campus experiences.

  • Key Reasons to Study There:

    The context mentions some advantages, but it does not explicitly highlight the key reasons to study at the University of Greenwich.

Total programs
372
Admission Requirements

Entry Requirements:

  • UK citizens and permanent residents:
  • An undergraduate (honours) degree at 2:2 or above, in any non-STEM (e.g., economics, business, arts) or far-STEM subject (e.g., 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 (e.g., computer science, AI, data science) or in a core-STEM subject (e.g., 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, disabled or from low socioeconomic background (Index of Multiple Disadvantage quintiles 1 and 2, low household income).
  • **Available to overseas students?
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