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The MSc Data Science at the University of Wolverhampton is a conversion program designed for graduates from diverse disciplines aiming to develop practical expertise in data science and analytics.
The course emphasizes a strong mathematical, programming, and real-world problem-solving foundation, supported by pre-course induction sessions to assist those with limited technical backgrounds.
Delivered through an industry-informed curriculum, students engage with cloud-based platforms and real-world case studies provided by partners such as The Royal Wolverhampton NHS Trust and Transport for West Midlands.
Course Overview:
Concepts & Technologies of Artificial Intelligence
Data Mining & Informatics
Data Science
Data Visualisation
Database Systems and Security
Network Analysis & Optimization
Research Methods
Statistics for Data Science
Teaching: Delivered through lectures, practical workshops, cloud-based labs, and real-world case studies supported by industry partners.
Assessment: Assessed through assignments, practical projects, and some written exams depending on module choice.
Pre-course induction in mathematics and programming with continuous support.
Real-world case studies and cloud-based training provided by industry partners.
Opportunities for paid internships with local organizations such as The Royal Wolverhampton NHS Trust and Transport for West Midlands.
Flexible online study options, including a 100% online MSc with multiple annual intakes.
Strong industry input into curriculum design to ensure graduate employability and career readiness.
Access to career support, alumni discounts, and government postgraduate loan opportunities.
Graduates can pursue careers in healthcare, transport, technology, and data-driven sectors.
Pathway to further study or research in data science, machine learning, and artificial intelligence.
Flexible online and part-time routes support working professionals seeking career advancement.
A lower second class honours degree in any discipline, GCSE Grade 4 in Mathematics or equivalent.IELTS: 6.5 with a minimum of 6.0 in each areaTOEFL: Overall Score of 79 with no component score less than 21Part time studies available; 28 monthsYour 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.Scholarships availableData ScientistData AnalystMachine Learning EngineerDatabase DeveloperBusiness Intelligence AnalystData EngineerData Mining SpecialistData Visualisation SpecialistProduct ManagerAI Specialist
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University of Wolverhampton
