Overview
The MSc in Data Science with Placement at the University of Kent provides a comprehensive education in data science, integrating theoretical knowledge with practical application. As the demand for data scientists continues to grow across various sectors, this programme is tailored to equip students with the necessary skills to thrive in this dynamic field.
Why Data Science with Placement at University of Kent?The University of Kent is highly regarded for its emphasis on employability, consistently ranking in the top 40 of The Times Good University Guide 2025. The programme has been developed in collaboration with industry professionals, ensuring that the curriculum aligns with current market needs. Students benefit from state-of-the-art facilities and access to a wealth of resources, including advanced computing services and software packages such as R, MATLAB, SPSS, and Python.
Tuition Fee BreakdownThe tuition fees for the MSc in Data Science with Placement are as follows:
- UK Students: £10,000 per year
- International Students: £23,500 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to provide a robust foundation in data science principles and practices. Key modules include:
- Introduction to Data Science
- Machine Learning Techniques
- Statistical Analysis and Inference
- Data Visualisation
- Big Data Technologies
- Industrial Placement Experience
- Independent Project and Report
Students will engage in hands-on projects, allowing them to apply their knowledge to real-world data challenges.
Guaranteed Work ExperienceThis programme includes a mandatory industrial placement, which lasts for 12 months. This experience is invaluable for students, providing them with the opportunity to apply their skills in a professional environment and build a network of industry contacts.
Careers with Data Science with PlacementGraduates of the MSc in Data Science with Placement are well-prepared for various career paths. Alumni have successfully secured positions in diverse sectors, including finance, healthcare, technology, and government. Potential job roles include data analyst, data scientist, machine learning engineer, and business intelligence consultant. The skills acquired during the programme enable graduates to adapt to various industries, making them highly sought after by employers.
Programme Structure
Courses include:
- Python Programming
- Machine Learning
- Data Science
- Bayesian Machine Learning
- Data Modelling and Consultancy
- Deep Learning
- Data Science Project
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
-
No fixed deadline for applications from home students, but we recommend to apply as soon as possible; no later than three months before your start date.
Language
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Credits
Delivered
Campus Location
- Canterbury, United Kingdom
Disciplines
Data Science & Big Data View 416 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
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Other requirements
General requirements
- A minimum of a second-class UK degree, or an equivalent internationally recognised qualification in finance, accounting, business-related disciplines, the sciences, engineering, or mathematics.
- All applicants are considered on an individual basis and those without an honours degree may also be considered on the basis of work experience, professional qualifications and the relevance of the programme to their current professional role.
Tuition Fees
-
International Applies to you
Applies to youNon-residents23500 GBP / year≈ 23500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10000 GBP / year≈ 10000 GBP / year
Living costs
Canterbury
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science with Placement.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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