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The MSc Data Science at London South Bank University is designed for both computing and non-computing graduates, providing practical and industry-relevant training in managing, analysing, and interpreting large datasets. The course offers flexibility through an optional work placement and focuses on real-world application using hands-on computer labs and modern analytical tools.
Course Overview:
Core:
Machine Learning
Future Internet Technologies
Data mining
Systems: Cyber Threats, Vulnerabilities and Countermeasures Systems
Research methods
Dissertation
Teaching: Delivered through lectures, tutorials, and hands-on computer lab sessions with practical, problem-based learning.
Assessment: Assessed via exams, coursework, computer-based assignments, oral presentations, and a major dissertation project.
Hands-on computer lab sessions with real-world datasets and industry-standard tools.
Optional work placement for practical industry experience.
Major dissertation project focusing on real data science problems.
Applied learning with problem-solving tasks relevant to future internet technologies and cybersecurity.
Exposure to live projects through coursework and collaborative assignments.
Practical coursework in data management, machine learning, and statistical modelling.
Access to the university’s career services, industry networks, and potential scholarships for international students.
Projects designed to solve real industry challenges.
Learning supported by modern computing labs and technical infrastructure.
Graduates are prepared for roles in technology, finance, healthcare, government, and consultancy sectors.
The program’s practical and interdisciplinary focus equips students for career progression into leadership roles in data science and analytics.
Pathway to further study, including PhD research in Data Science, Artificial Intelligence, or related fields.
Part time studies available; 2 yearsAccreditation: BCSEntry requirement: 2:2 UK honours first degree or international equivalent in a relevant Computing/Mathematical/Statistical subjectScholarships available IELTS: score of 6.5 (with no component below 5.5)TOEFL iBT: Overall score 90 (Reading: 18 Listening: 17 Writing: 17 Speaking: 20)Your personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data ScientistData AnalystBusiness Intelligence AnalystData EngineerMachine Learning EngineerDatabase Developer/AdministratorBig Data SpecialistAnalytics ConsultantData Visualisation SpecialistProduct Manager
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London South Bank University
