MSc Management (Human Resource Management)
Intake:- January & September Program Overview - MSc Mana...
MSc Human-Centred Big Data and Artificial Intelligence
Bay Campus
INTAKE: September
Program Overview
The MSc Human-Centred Big Data and Artificial Intelligence program at Swansea University combines the principles of big data analytics and artificial intelligence with a focus on human-centric approaches.
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Foundations of Big Data: Students gain a solid understanding of big data concepts, techniques, and technologies. They learn about data collection, storage, processing, and analysis at scale, as well as the ethical and legal implications of working with big data.
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Artificial Intelligence and Machine Learning: The program covers the foundations of artificial intelligence (AI) and machine learning (ML). Students learn about different ML algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. They develop skills in building AI models and applying them to real-world problems.
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Human-Centred Design: The program emphasizes the importance of human-centred design in the context of big data and AI. Students learn how to consider ethical, social, and user-centric factors when developing and deploying AI systems. They explore topics such as explainability, fairness, transparency, and user experience in AI applications.
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Big Data Analytics: Students gain hands-on experience in analyzing large-scale datasets using cutting-edge tools and techniques. They learn data preprocessing, data visualization, and advanced analytics methods to derive meaningful insights from complex data.
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Natural Language Processing: The program covers natural language processing (NLP), enabling students to understand and analyze human language data. They learn techniques for text mining, sentiment analysis, information extraction, and language generation.
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AI in Practice: Students explore the practical applications of AI in various domains, such as healthcare, finance, marketing, and cybersecurity. They develop skills in implementing AI solutions, integrating AI technologies into existing systems, and evaluating the performance and impact of AI models.
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Ethical and Legal Implications: The program addresses the ethical and legal considerations surrounding big data and AI. Students learn about privacy, data protection, bias, accountability, and regulations related to AI technologies. They develop a critical understanding of the ethical and social implications of AI adoption.
Location
Bay Campus
Score
IELTS 6.5
Tuition Fee
£ 20100
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- PTE Academic: A minimum overall score of 56 with no individual score below 56.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Swansea University offers a variety of scholarships to support students in their academic journey. These scholarships aim to support students in pursuing their academic goals and experiencing the vibrant learning environment at Swansea University.
- International Excellence Scholarships: Swansea University offers International Excellence Scholarships to outstanding international students who demonstrate exceptional academic achievement. These scholarships are available for both undergraduate and postgraduate programs. The value of the scholarship varies, but it can cover a significant portion of the tuition fees.
- Eira Francis Davies Scholarship: The Eira Francis Davies Scholarship is specifically designed for female students from developing countries who wish to pursue a full-time undergraduate or postgraduate course at Swansea University. This scholarship aims to support female students in their academic journey and empower them to make a positive impact in their home countries.
- Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious awards offered to international students who have demonstrated academic excellence and leadership potential. These scholarships provide financial support towards tuition fees and are available for both undergraduate and postgraduate programs.
- Santander Scholarships: Swansea University has a partnership with Santander Bank to provide scholarships for international students. These scholarships are awarded based on academic merit and cover a portion of the tuition fees.
- Sports Scholarships: Swansea University recognizes the achievements of talented athletes and offers Sports Scholarships to support them in balancing their academic and sporting commitments. These scholarships provide financial assistance, as well as access to training facilities and additional support services.
Graduates of the MSc Human-Centred Big Data and Artificial Intelligence program have excellent career prospects in various sectors that leverage big data and AI technologies.
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Data Scientist: Graduates can work as data scientists, applying their skills in big data analytics and AI to solve complex business problems. They analyze data, build predictive models, and develop AI-driven solutions to drive data-driven decision-making.
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AI Engineer: Graduates can pursue careers as AI engineers, responsible for designing, developing, and deploying AI systems and applications. They work on implementing AI algorithms, training models, and integrating AI technologies into existing software systems.
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Data Analyst: Graduates can work as data analysts, specializing in analyzing and interpreting data to derive actionable insights. They work closely with stakeholders to understand business requirements, develop data-driven strategies, and communicate findings to support decision-making.
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AI Ethicist: Graduates can pursue roles as AI ethicists, focusing on the ethical implications of AI technologies. They ensure AI systems are developed and deployed in a responsible and unbiased manner, addressing issues such as fairness, accountability, and transparency.
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Researcher: Graduates can engage in research roles, working in academia, research institutions, or industry research labs. They contribute to advancing the field of human-centred big data and AI, exploring innovative approaches and developing new algorithms and methodologies.
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AI Consultant: Graduates can work as AI consultants, providing advisory services to organizations on implementing AI solutions. They assess business needs, identify AI opportunities, and develop strategies for successful AI adoption.
