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 Computer Science by Research
Mile End
INTAKE: September
Program Overview
This master's program emphasizes a substantial, year-long individual research project within one of the university's established research groups. Students gain advanced research skills and technical expertise, demonstrating a higher degree of independence compared to traditional taught programs.
Curriculum: The curriculum comprises four elective modules tailored to complement the student's research focus, alongside a compulsory 10,000-word dissertation. This structure allows students to delve deeply into specialized areas such as computer vision, digital music, cognitive science, risk and information management, theoretical computer science, game AI, and computational creativity.
Research Focus: Students engage in cutting-edge research, contributing original findings to their chosen field. The program encourages the publication of at least one conference paper, fostering a strong foundation for those aiming to pursue doctoral studies or research positions in the industry.
Industry Engagement: Queen Mary's strategic location in London provides students with access to a vibrant tech community and numerous industry partnerships. The university's collaborations with leading tech companies and research institutions offer students opportunities for networking, internships, and exposure to real-world applications of their research.
Global Perspective: The program attracts a diverse cohort of students and faculty from around the world, enriching the academic environment with a multitude of perspectives. This global outlook prepares graduates to tackle complex challenges in various international contexts, enhancing their adaptability and employability in the global tech industry.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 29950
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 Computer Science by Research program are equipped with advanced research skills, critical thinking abilities, and specialized knowledge that position them for rewarding careers in academia, industry, research institutions, and beyond. This program opens doors to a range of exciting career opportunities.
Research Scientist: Graduates can pursue roles as research scientists, contributing to groundbreaking advancements in computer science, artificial intelligence, data science, and other related fields.
Academic Researcher: Graduates may choose to pursue doctoral studies or academic research positions, contributing to the generation of new knowledge and shaping the future of computer science.
Innovation and Development: Graduates can work in research and development teams, collaborating to create novel technologies, algorithms, and software solutions.
Data Analyst: Graduates may engage in data analysis and interpretation roles, leveraging their research skills to extract meaningful insights from complex datasets.
Technology Consultant: Graduates can provide consultancy services to businesses, offering insights and solutions based on their specialized research expertise.
Entrepreneurship: Graduates with innovative research outcomes may embark on entrepreneurial ventures, translating their research findings into practical and commercial applications.
Software Engineer: Graduates can excel as software engineers, applying their advanced technical skills to design and develop sophisticated software systems.
AI and Machine Learning Specialist: Graduates may specialize in artificial intelligence and machine learning, contributing to the development of intelligent systems and applications.
Project Manager: Graduates can take on project management roles, overseeing research initiatives and guiding teams to achieve successful outcomes.
Data Scientist: Graduates can contribute to data-driven decision-making as data scientists, employing their research skills to extract insights and solve complex challenges.
