BSc (Econ)(Hons) Economics, Finance and Management
Queen Mary University of London (QMUL) offers a BSc-Econ- Honours degree in Econom...
MSc Data Science and Artificial Intelligence (Conversion Programme)
Mile End
INTAKE: September
Program Overview
The MSc in Data Science and Artificial Intelligence (Conversion Programme) at Queen Mary University is a transformative program that empowers individuals from diverse academic backgrounds to transition into the exciting and high-demand field of data science and AI. The curriculum is carefully designed to provide students with a comprehensive understanding of data-driven techniques, machine learning, and AI technologies.
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Foundational Concepts: The program begins with a solid grounding in fundamental concepts of data science and AI, ensuring that all students, regardless of their background, start on a level playing field.
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Data Analytics: Students learn to extract meaningful insights from complex and large datasets through advanced data analytics techniques, enhancing their ability to make informed decisions.
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Machine Learning: The curriculum delves into the theory and practice of machine learning, enabling students to design, implement, and optimize machine learning algorithms.
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Artificial Intelligence: Students explore AI methodologies, including natural language processing, computer vision, and robotics, to develop intelligent systems capable of human-like tasks.
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Big Data Technologies: The program equips students with the skills to handle and analyze massive datasets using cutting-edge big data technologies.
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Ethics and Responsible AI: Students critically examine ethical considerations in AI and data science, ensuring they develop AI solutions that align with societal values.
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Project-Based Learning: The curriculum emphasizes hands-on learning through real-world projects, enabling students to apply their knowledge to practical challenges.
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Industry-Relevant Skills: Students gain proficiency in programming languages such as Python, data visualization tools, and cloud computing platforms widely used in the industry.
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Collaborative Learning: The program fosters a collaborative learning environment, allowing students to work on team projects and engage in interdisciplinary discussions.
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Capstone Project: The program culminates in a capstone project, where students leverage their acquired skills to solve a significant data science or AI challenge.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 31500
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 60% 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 6.0.
- TOEFL: A minimum overall score of 92, with at least with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 71 with 65 in Writing, and 59 in Reading, Listening and Speaking..
- 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.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
- Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
- Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
- Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Graduates of the MSc in Data Science and Artificial Intelligence program from Queen Mary University are well-equipped for a range of rewarding career opportunities in the data-driven and AI-driven industries.
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Data Scientist: Graduates can work as data scientists, leveraging data to extract insights, build predictive models, and drive informed business decisions.
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Machine Learning Engineer: Graduates may become machine learning engineers, developing and optimizing machine learning algorithms for various applications.
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AI Researcher: Graduates with a passion for research can pursue roles as AI researchers, contributing to the advancement of AI technologies and methodologies.
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Data Analyst: Graduates can work as data analysts, interpreting and visualizing data to uncover trends, patterns, and actionable insights.
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AI Developer: Graduates may become AI developers, creating intelligent systems, chatbots, and AI-powered applications.
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Business Intelligence Analyst: Graduates can analyze data to provide strategic insights that drive business growth and competitive advantage.
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Data Engineer: Graduates with expertise in data engineering can design and maintain data pipelines, ensuring efficient data processing and storage.
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AI Consultant: Graduates may offer consultancy services to businesses seeking to integrate AI solutions and data-driven strategies.
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Quantitative Analyst: Graduates can work in the finance sector as quantitative analysts, utilizing data and AI techniques for risk assessment and financial modeling.
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PhD Research: Graduates interested in further academic pursuits can pursue doctoral studies in data science, AI, or related fields.
