| Program start date | Application deadline |
| 2024-09-01 | - |
| 2025-01-01 | - |
Program Overview
Kingston University's MSc in Data Science equips students with the skills and knowledge to analyze complex datasets, build models, and solve real-world problems. The program offers flexibility in entry points and a multidisciplinary approach, leveraging strengths in mathematics and computer science. Graduates are prepared for careers in data engineering, data analysis, and machine learning engineering.
Program Outline
It prepares graduates for careers in various industries and research fields. The course offers flexibility in entry points and is designed for diverse backgrounds.
Outline:
The program is structured around four core modules, each worth 30 credit points, and a project dissertation worth 60 credit points. It also examines data security issues, including policies, structures, and practices.
- Machine Learning and Artificial Intelligence (30 credits): This module covers fundamental concepts and methods in Machine Learning and Pattern Recognition. It introduces classical methods, modern approaches, and relevant applications. It involves identifying and analyzing real-world problems or knowledge gaps and applying academic concepts and methods to resolve them. Students develop their research skills, data analysis capabilities, and communication abilities through this project.
Professional Placement:
The Professional Placement module is optional and provides a 12-month opportunity to apply knowledge and skills in a working environment.
Assessment:
Assessment typically comprises in-class tests, practical assessments (presentations, demonstrations), and coursework (essays, reports, self-assessment, portfolios, dissertation).
- 94% Coursework
- 3% Exams and Tests
- 3% Practical
Teaching:
The program emphasizes hands-on learning and focuses on developing practical skills. Teaching methods include:
- Studio practices
- Project-based learning
- Context-driven lectures
- Lab sessions
- Seminars The faculty consists of experts in various fields, including mathematics, statistics, AI, machine learning, information management, and user experience design. Postgraduate students may assist in lab sessions and contribute to seminar teaching under supervision.
Careers:
This course prepares students for careers in the Data Science field, including:
- Data Engineer
- Data Analyst
- Machine Learning Engineer
Other:
- The course benefits from a diverse community of learners and is taught in week-long blocks that can accommodate different work/study patterns. Accreditation provides a mark of assurance that the degree meets BCS standards and entitles graduates to professional membership.
Admission Requirements:
- A 2.2 or above honours degree in a relevant subject with computing science and mathematics/statistics content.
- Programming knowledge in languages such as Python, Java, C++/C#, JavaScript.
- Knowledge of databases.
English Language Requirements:
- For non-UK applicants, evidence of English language proficiency is required.
Additional Costs:
- Students may need to consider additional costs not covered by tuition fees, such as textbooks, computer equipment, photocopying/printing, field trips, and travel.
Home 2025/26 MSc full time £12,400 MSc part time £6,820 International 2025/26 MSc full time £19,300 MSc part time £10,615 Home 2024/25 MSc full time £10,900 MSc part time £5,995 International 2024/25 MSc full time £18,500 MSc part time £10,175
Kingston University
Overview:
Kingston University London is a UK-based university recognized for its high-quality teaching and student experience. It features in the QS World University Rankings league table of the world's top universities.
Services Offered:
Kingston University offers a wide range of services to its students, including:
Academic Support:
Guidance and resources for academic success.Career Services:
Support in finding internships, jobs, and career development.Accommodation:
On-campus and off-campus housing options for students.Wellbeing Services:
Mental health support, counseling, and other resources.International Student Support:
Dedicated services for international students, including visa assistance and cultural integration programs.Library and Learning Resources:
Extensive library facilities and online learning resources.Student Union:
A vibrant student union with clubs, societies, and social events.Student Life and Campus Experience:
Kingston University provides a dynamic and engaging campus experience. Students can expect:
Active Student Union:
Opportunities to join clubs, societies, and participate in social events.Vibrant Campus Life:
A lively campus environment with a range of activities and events.Supportive Community:
A welcoming and supportive community of students and staff.Location Advantages:
Located in Kingston upon Thames, a historic town with excellent transport links to London.Key Reasons to Study There:
TEF Gold Rating:
Recognized for its high-quality teaching and outstanding student experience.Future Skills Focus:
Emphasis on developing future-ready skills through embedded modules in all undergraduate courses.Strong Industry Links:
Close connections with businesses and industries, providing opportunities for internships and career development.Diverse and Inclusive Environment:
Committed to equality, diversity, and inclusion.Academic Programs:
Undergraduate Study:
A wide range of undergraduate programs across various disciplines.Postgraduate Study:
Master's and doctoral programs in various fields.Research:
Active research programs with a focus on areas like healthcare, technology, and the arts.Higher and Degree Apprenticeships:
Opportunities to combine work and study through apprenticeships.Entry Requirements:
- A 2.2 or above honours degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first degree subjects would include: computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses.
- Applicants must have programming knowledge, such as Python, Java, C++/C#, JavaScript and a knowledge of databases. Meeting particular minimum entry requirements does not automatically guarantee a place.
- For international students, a pass in the IELTS academic test in English with an overall score of 6.5, with no element below 6.0, or meet the scores listed on the alternative online tests.
