Data Science (Online), MSc
This online masters in Data Science will provide you with the skills and knowledge needed to build and advance your career in data science, data analytics and machine learning.
The MSc Data Science (Online) is designed to equip you with the analytical, technical, and problem-solving skills needed to extract meaningful insights from data and make evidence-based decisions in any sector. Designed for individuals from non-STEM backgrounds, this fully online programme provides a flexible route to study, supporting you to balance learning with work and your personal commitments.
Data Science is a well-sought and an increasingly important discipline in today’s world. Throughout the course you will explore in depth theoretical knowledge alongside practical skills, enabling you to build confidence and tackle real-world data challenges.
Whether you’re looking to enter a career in data science or advance your current expertise, this programme provides the skills and knowledge to succeed. Delivered through an engaging learning environment you will cover a broad range of topics including programming, visualisation, big data and ethics.
We are initially accepting applications from students in UK, India, Pakistan, Nigeria, Bangladesh and Republic of Ireland. If you are not eligible, please consider our on-campus courses, additional countries will be eligible next year.
Duration
- 2 years part-time
Start month
September; January; April
What you should know about this course
What you will study
New course - subject to approval
We continually develop new courses to reflect the needs of students, employers and professional bodies. This course is currently subject to the final stage of our approval process.
In the unlikely event that the course is not approved before the start date, we will help you find an alternative course.
Indicative modules will cover these subject areas during the course:
- Data science programming
- Data visualisation
- Big data
- Data ethics
- Data Science Project
About the course team
Your teaching team includes accomplished lecturers and practitioners with vast experience in various aspects and applications of Data Science. Our teaching is informed by research and consultancy work, as well as by the latest teaching best practice.
Entry requirements
An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject.
Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered.
Applicants with a degree in another discipline should consider MSc Data Science and its Applications, a specialist course designed for applicants from any background.
For more information, use our contact form or call us on 020 8331 9000.
You can also read our admissions policy.
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
Learning experience
When studying with Greenwich Online, you get access to study materials, a learning platform, learning events with module academics, a dedicated tutor, student forums, and a supportive environment designed to help you thrive academically, professionally and personally.
You will be taught via a series of structured weekly activities, designed to help you build the knowledge and skills needed to excel in your area of study. Delivered via on our online platform, each activity is carefully scaffolded to enable you to engage with key theories and practices in your field, explore new and innovative ways of thinking and engage in solving real world problems.
You will be supported to work both independently and collaboratively with peers, engaging through tools such as discussion forums, completing activities and reviewing source materials.
Your study will be made up of a combination of directed study and independent study, so it won’t just be spending all your time in the Virtual Learning Environment.
Equipment Requirements
Whilst we make significant efforts to ensure Greenwich Online is accessible as possible across a range of devices we generally recommend studying with a PC or Mac with up-to-date version of a web based browser such as Google Chrome.
Class sizes
Within each cohort you will be part of a study group. These groups typically consist of a maximum of 30 students.
Independent learning
In addition to guided activities and tasks, you will be required to study independently as part of this course.
Overall workload
Typically, you can expect to study 10 hours for each credit of study you earn.
Assessment
On this course, you will be assessed through a range of activities and tasks including coursework, project work, reflective writing and presentations.
Feedback summary
We aim to give feedback on assignments within 15 working days.
Dates and timetables
We have 3 course intakes:
- September
- January
- April
Fees and funding
£1,850 per 30 credit module.
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.
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.
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.
If there are any field trips, students may need to pay their travel costs.
Careers and placements
What sort of careers do graduates pursue?
Graduates from this Data 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.
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.
Support from the department
Studying online at Greenwich means you’ll have expert help at every stage — all just a message, call, or click away. You will also be able to access library and IT expertise, wellbeing services, disability support and financial advice.
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