Data Science and its Applications (Medway), MSc
Medway Campus, United Kingdom
Data Science and its Applications (Medway), MSc
University of Greenwich
Data Science
Program Overview: MSc Data Science and its Applications (Medway)
The MSc Data Science and its Applications (Medway) at the University of Greenwich is designed to increase the skilled workforce and diversity of qualified data science experts, welcoming students from any academic background. Whether you are transitioning into data science roles or exploring specialised areas, this course equips you with practical skills to analyse, solve, and evaluate data-heavy projects essential for both employment and further studies.
You will explore a range of captivating topics in modern data science and apply your data handling skills to real-world issues across various fields. The programme offers flexibility with optional modules in different data science applications, allowing you to tailor your learning to your interests and career goals.
Taught at the Medway Campus in Chatham, Kent, the programme is delivered by the School of Computing and Mathematical Sciences. The teaching team consists of experienced academic and industry professionals whose instruction is informed by research, consultancy work, and the latest teaching best practices.
Key Program Highlights
- Open to graduates from any academic background, including non-STEM disciplines such as economics, business, and the arts
- Flexible optional modules allow you to tailor the programme to your specific career aspirations and interests
- Access to the Oracle mentoring scheme for industry advice on careers, professional insight, and job-hunting support
- Dedicated scholarships available for underrepresented groups in data science, promoting inclusivity and diversity
Curriculum and Modules
The MSc Data Science and its Applications (Medway) combines compulsory core modules with a selection of electives, enabling you to build a strong foundation in data science theory and practice while specialising in areas that align with your career goals. Learning takes place through a combination of lectures, tutorials, and practical work in specialised computer laboratories, with assessment through coursework, examinations, and a final project.
Introduction to Programming for Data Science
15 creditsDevelop foundational programming skills using languages such as Python, covering core concepts essential for data manipulation, analysis, and automation in data science workflows.
Mathematics and Statistics for Data Science
15 creditsBuild a solid grounding in the mathematical and statistical methods underpinning data science, including probability, linear algebra, and inferential statistics.
Machine Learning Fundamentals
15 creditsExplore supervised and unsupervised learning algorithms, model evaluation techniques, and practical implementation of machine learning solutions for real-world problems.
Data Visualisation and Communication
15 creditsLearn to create compelling visual representations of data and communicate analytical findings effectively to both technical and non-technical audiences.
Big Data and Data Management
15 creditsUnderstand the principles and technologies for managing, processing, and analysing large-scale datasets, including database systems and data warehousing concepts.
MSc Data Science Project
60 creditsApply your accumulated knowledge and skills to a substantial independent research or applied project, addressing a real-world data science challenge under the guidance of an academic supervisor.
Elective Modules
Admission Requirements
The MSc Data Science and its Applications (Medway) is specifically designed for applicants from non-STEM or far-STEM backgrounds. Applicants with degrees in core-STEM subjects such as computer science, mathematics, or engineering will be directed to the specialist MSc Data Science programme instead. All applications are processed through Uni4Edu.
Academic Requirements
- Undergraduate DegreeAn 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)
- Mathematics RequirementGCSE Mathematics grade 4/C or equivalent
- International QualificationsThe University of Greenwich accepts a broad range of international qualifications. Contact Uni4Edu for country-specific equivalencies.
- Prior LearningRecognition of Prior Learning (RPL) may be considered for applicants with relevant professional experience
- Diversity PriorityPriority is given to applicants who are women, black, registered disabled, or from low socioeconomic backgrounds
English Language Requirements
- IELTS6.5 overall with minimum 5.5 in each skill
- TOEFL / PTEEquivalent scores accepted. Contact Uni4Edu for specific score requirements.
- Other QualificationsA wide range of English language qualifications are accepted. Contact Uni4Edu for details.
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
The University of Greenwich offers a range of bursaries, scholarships, and financial support measures to help students fund their postgraduate studies. The MSc Data Science and its Applications programme features dedicated scholarships aimed at increasing diversity in the data science sector.
Data Science Diversity Scholarship
GBP 10,000Available exclusively for eligible UK domicile students who are female, black, disabled, or from low socioeconomic backgrounds. Awarded as a cash bursary or fee waiver to support underrepresented groups in data science.
Greenwich Alumni Postgraduate Bursary
GBP 3,000A bursary available to home fee-paying University of Greenwich final year undergraduate students and alumni who progress to a postgraduate programme at the university.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates from the MSc Data Science and its Applications programme are well-equipped for careers across a wide range of sectors. The programme is designed to transform professionals from diverse backgrounds into accomplished data scientists, ready to enhance existing careers or transition fully into data science roles in private companies, public organisations, government, and NGOs.
Potential Career Roles
Sectors and Employers Hiring Graduates
Rankings and Recognition
The University of Greenwich is a well-established institution founded in 1890, recognised in major global university rankings. It serves around 21,000 students and welcomes people from more than 140 countries, reflecting a truly international community. The university's main campus is set within a UNESCO World Heritage site in Greenwich, southeast London.
| Subject | Ranking Body | Rank |
|---|---|---|
| Business and Economics | THE | #201-250 |
| Social Sciences | THE | #201-250 |
| Hospitality and Leisure Management | QS | #151-175 |
| Computer Science | US News | Contact Uni4Edu for current data |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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