BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
MSc Data Science and Artificial Intelligence (Conversion Programme)
Mile End
INTAKE: September
Program Overview
The MSc in Data Science and AI (Conversion Programme) at QMUL is a one-year full-time or two-year part-time course aimed at students from diverse academic backgrounds. It is specifically designed to offer an introduction to core subjects such as machine learning, data analysis, and artificial intelligence, even for individuals without prior experience in computing. The program ensures that students gain foundational knowledge of algorithms, programming languages, and data structures, along with advanced techniques in AI and data science. The curriculum is highly practical, focusing on real-world applications to ensure graduates are job-ready.
Curriculum: The curriculum is meticulously designed to offer both depth and breadth in the key areas of data science and AI. Core modules cover essential topics such as statistical analysis, machine learning, and data mining. Students will also explore artificial intelligence techniques like neural networks and deep learning, natural language processing, and ethical issues related to AI. The program includes a substantial amount of hands-on work through coding and software tools, allowing students to work with datasets, algorithms, and real-world scenarios. Additionally, students will have the opportunity to complete a research project or dissertation, which serves as a culmination of their learning and an opportunity to explore a specific area of interest in greater depth.
Research Focus: At QMUL, research plays a central role in the MSc Data Science and AI programme. The university has a strong reputation for cutting-edge research in AI, machine learning, and data science, and this research focus directly influences the program's curriculum. Students are encouraged to engage with the latest developments in the field through seminars, workshops, and access to academic papers and resources. The university’s research groups, such as those focusing on AI, machine learning, and computational neuroscience, offer students the chance to collaborate on exciting and impactful projects. QMUL also emphasizes the importance of interdisciplinary research, encouraging students to approach data science and AI challenges from multiple perspectives.
Industry Engagement: Queen Mary University of London has strong links with industry, ensuring that students are exposed to real-world applications of their learning. The university collaborates with leading companies in technology, healthcare, finance, and other sectors to provide students with opportunities for internships, projects, and networking events. This engagement allows students to gain hands-on experience and make valuable industry connections, which are essential for career progression. Moreover, QMUL’s strong emphasis on employability ensures that graduates are well-equipped to succeed in a competitive job market.
Global Perspective: QMUL is a truly global institution, attracting students from all over the world. The MSc Data Science and AI program reflects this international outlook by incorporating global perspectives into its teaching and research. The diverse student body and international collaborations enrich the learning experience, exposing students to different approaches and solutions to data science and AI challenges. Furthermore, QMUL offers various exchange programs and partnerships with top universities across the globe, enabling students to broaden their academic and professional horizons.
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.
Data Scientist: Graduates can work as data scientists, leveraging data to extract insights, build predictive models, and drive informed business decisions.
Machine Learning Engineer: Graduates may become machine learning engineers, developing and optimizing machine learning algorithms for various applications.
AI Researcher: Graduates with a passion for research can pursue roles as AI researchers, contributing to the advancement of AI technologies and methodologies.
Data Analyst: Graduates can work as data analysts, interpreting and visualizing data to uncover trends, patterns, and actionable insights.
AI Developer: Graduates may become AI developers, creating intelligent systems, chatbots, and AI-powered applications.
Business Intelligence Analyst: Graduates can analyze data to provide strategic insights that drive business growth and competitive advantage.
Data Engineer: Graduates with expertise in data engineering can design and maintain data pipelines, ensuring efficient data processing and storage.
AI Consultant: Graduates may offer consultancy services to businesses seeking to integrate AI solutions and data-driven strategies.
Quantitative Analyst: Graduates can work in the finance sector as quantitative analysts, utilizing data and AI techniques for risk assessment and financial modeling.
PhD Research: Graduates interested in further academic pursuits can pursue doctoral studies in data science, AI, or related fields.
