Data Science
Master of Data Science
Learning Mode
Full-time, On Campus
Duration
1 Year (Full-time)
Start date
September
Qualification
Master of Science (MSc)
Fees
£17,900 (full program)*
Location
Kingston upon Thames, Greater London
About the Course
The Data Science Conversion MSc at Kingston University is designed for graduates from non-computing disciplines who want to pursue careers in data-driven industries. Whether your background is in business, health, engineering, or social sciences, this program provides the essential computing and analytical skills to transition into the world of data science.
You’ll explore programming, machine learning, statistics, databases, and big data analytics through hands-on learning, industry projects, and expert-led instruction. With the UK and global economy demanding more data-savvy professionals, this course is your gateway to a dynamic and highly employable future.
Why choose Data Science at Kingston?
Industry Connected
Designed with industry experts, featuring practical projects, guest lectures, and real-world datasets for hands-on learning.
Global Opportunities
Graduates excel globally, supported by Kingston’s alumni network and London location for international career access.
Professional Accreditation
Aligned with Institute of Analytics and BCS, aiding certification and recognised data science credentials.
Course Overview
This conversion course is tailored for students without a computing background, making it ideal for professionals or graduates from any discipline looking to upskill in data science. You’ll gain a strong foundation in programming (Python and R), data management, statistical modelling, and machine learning.
Through individual and group-based projects, you’ll learn to extract, process, visualise, and model data in ways that support strategic decision-making. The course culminates in a major research or applied project to demonstrate your skills to future employers.
Course Duration
1 Year Full-Time
- Semester 1: Introduction to programming, databases, data analytics, and statistics
- Semester 2: Machine learning, data visualisation, and big data tools (e.g. Hadoop, Spark)
- Final Project: Independent dissertation or industry-sponsored data science project
All modules focus on hands-on, practical experience with real-world datasets and modern analytical tools.
Course Curriculum
Key modules include:
- Foundations of Computing and Programming
- Data Analytics and Visualisation
- Machine Learning and AI
- Database Design and SQL
- Big Data Processing
- Statistical Modelling and Inference
- Data Ethics and Governance
- MSc Project (Dissertation or Applied Industry Project)
Assessment is project-focused, including practical assignments, presentations, case studies, and a final research project.
Admission Requirements
- A UK 2:2 honours degree or equivalent in any discipline (e.g. Arts, Business, Engineering, Life Sciences)
- Applicants with relevant industry experience are encouraged to apply
English Language Requirements:
- IELTS 6.5 overall (minimum 5.5 in all components) or equivalent qualification
Interviews or additional preparatory learning may be required for applicants with limited quantitative backgrounds.
Fees and Funding
International Tuition Fee:
£17,900 (full program)
Funding Options:
- Postgraduate scholarships for international students
- Alumni discount for Kingston graduates
- Country-specific awards and bursaries available
Visit Kingston’s scholarships and funding page for full eligibility details and deadlines.
Career Opportunities
Graduates of the Data Science Conversion MSc are prepared for high-demand roles such as:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Analyst
- Data Engineer
- AI Research Assistant
You’ll be ready to work in sectors like finance, healthcare, retail, logistics, public policy, and technology. Employers value Kingston’s practical approach and industry-aligned skills development.
Contact Us
Reach out for any inquiries or assistance needed.
