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The MSc Data Science & Artificial Intelligence at Bournemouth gives students advanced skills in machine learning, computer vision, edge AI, and computational modelling. It’s suited to those with quantitative or computing backgrounds who want to work in sectors like health, smart cities, transport, or research.
Curriculum Structure:
You’ll study core units like Computational Modelling, Computer Vision, Natural Language Processing, Edge AI, and Machine Learning & Data Mining using tools such as Python, TensorFlow, Apache Spark. These build both theory (algorithms, statistical modelling) and hands-on practice. Then there are code jams/hackathons and ethics/research planning modules to deepen professional insight and understanding of societal implications of AI. You complete an independent master’s project, applying what you've learned to solve a real-world problem—end-to-end from design, modelling, and implementation.
Focus areas
“Machine Learning; Computer Vision; Edge AI; Computational Modelling; NLP; Ethical & Applied Research; Real-world Project”
Learning outcomes
“Ability to design and deploy AI/ML systems; apply computational modelling; handle visual / language data; use edge AI and big data tools; understand ethics; complete a real-world project”
Professional alignment (accreditation):
Course uses industry-relevant tools, partnerships & hands-on coding events; built around current needs in data science & AI
Reputation (employability rankings):
Bournemouth University emphasises industry engagement; students gain experience via hackathons / placements; the course matches employer demand in fast-growing job sectors.
This programme focuses on applying advanced computing principles through practical project work in the University's specialist facilities. You'll develop professional skills using industry-standard tools and high-performance computing resources, working on real-world computing challenges. This hands-on approach is delivered through:
Specialist Computing Facilities: Access to BU's High-Performance Computing (HPC) cluster and dedicated computing labs with professional-grade workstations for software development and research.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C++, plus development environments like Visual Studio and database management systems.
Substantial Individual Project: A major research project where you apply advanced computing techniques to solve a substantial real-world problem.
Professional Collaboration: Opportunities to work on projects with industry partners and BU's research centres, including the Data Science and AI Research Centre.
Graduates of the MSc Data Science & Artificial Intelligence at Bournemouth University develop expertise in software development, cloud computing, cybersecurity, and AI, equipping them for versatile tech careers. Common job roles include Software Developer, Cloud Architect, Cyber Security Analyst, and IT Consultant, appealing to industries with high digital demand.
The dedicated CareersBU team offers career coaching, CV reviews, networking events, and placement support, helping students secure jobs in top tech sectors.
88.7% of graduates find work or pursue further study within 15 months; salaries for computer science roles typically range from £27,000 to £45,000 depending on experience and specialization.
Bournemouth’s close ties to the Cisco Network Academy and collaborations with major tech employers provide hands-on industry projects and recognized certifications.
Accredited by BCS, the Chartered Institute for IT, the MSc ensures long-term industry recognition and supports the path to Chartered IT Professional status.
Graduates demonstrate strong technical, ethical, and leadership skills to drive tech innovation across diverse sectors.
Further Academic Progression:
Students can pursue PhD research in Computer Science, AI, or related fields, or advance with professional certifications and interdisciplinary study for further tech career growth
A Bachelors Honours degree with 2:2 (or equivalent) in a relevant subject.India: Bachelor’s degree (three years) from a recognised HE institution with a minimum overall result of 55% USA: US Bachelor’s degree (four years), with a 2.5 GPA or above IELTS (Academic) 6.0 with minimum 5.5 in writing, speaking, listening and reading, or equivalent.TOEFL- overall 60-78GMAT or GRE not requiredAI EngineerMachine Learning EngineerData ScientistBusiness Intelligence DeveloperData AnalystAI Research Scientist
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Bournemouth University
