Master of Science [M.Sc] (Artificial Intelligence)
STEM Course
1 year
Full Time
On Campus
College Partner
$41,405 /Yr
£31,850 /Yr
9 Students Applied
9 Students Admitted
- The Queen Mary University of London MSc Artificial Intelligence program is at the forefront of AI education, providing you with a deep understanding of the latest developments in the field
- The program is structured into three distinct study streams, allowing you to tailor your education to specific areas of interest:
- Vision and Robotics stream
- Natural Language Processing stream
- Agents and Creativity stream
- The program begins with compulsory modules covering fundamental concepts in probability, statistics, machine and deep learning, AI in society, and ethics and regulations related to AI and data science
- The MSc artificial intelligence queen mary university of london curriculum emphasizes hands-on experience with state-of-the-art tools and technologies, including Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL)
- This program is accredited by BCS, The Chartered Institute for IT, and recognized by the Engineering Council
- Upon completion of the program, graduates are well-prepared for a wide range of industrial and academic positions related to AI
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Important Dates
Event | Application Date |
---|---|
Application Deadline For January 2025 Intake | Dec 9, 2024 |
Application Deadline For September 2025 Intake | Sep 1, 2025 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $41405 (GBP 31850) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Housing and Board | $23530 (GBP 18100) |
Total Cost | $23530 (GBP 18100) |
Eligibility & Entry Requirement
Acceptance Rate | 43% |
Academic Requirement | Applicant must have a undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline with a range of 60% to 70% |
English Language Proficiency Score | TOEFL iBT : 92 | IELTS : 6.5 | PTE : 65 |
Documents Required |
|
Decision Time | Within four to six weeks of receipt |
Interview | Virtual interview |
Similar Programs
Program | Important Date | Total Fees | Median Exams Score | Action |
---|---|---|---|---|
USD 37,895 /Yr GBP 29,150 /Yr |
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Application Deadline (31st Jul 2025) | USD 41,275 /Yr GBP 31,750 /Yr |
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Application Deadline For January 2025 Intake (9th Dec 2024) Application Deadline For September 2025 Intake (1st Sep 2025) | USD 37,635 /Yr GBP 28,950 /Yr |
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Career and Placement after Course
Finishing the MSc artificial intelligence program at the queen mary university of london will put you on track for career success in a variety of roles:
- Machine Learning Engineer
- Data Scientist
- Artificial Intelligence Researcher
- Computer Vision Engineer
- Robotics Engineer
- AI Product Manager
- Business Intelligence Analyst, etc.
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
(ISC)² Women’s Cybersecurity Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
University of London Scholarships | Scholarship per studentVariable Amount | Level Of StudyApprenticeship | TypeMerit-Based | |
Collegedunia $150 Scholarship Program | Scholarship per student$ 195/Yr$150 | Level Of StudyBachelor | TypeMerit-Based | |
Commonwealth Shared Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
Chevening Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
University of Nottingham Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific |
Options Available
Program | Delivery Type | Duration | Program Type | Tution Fees |
M.Sc Artificial Intelligence with Industrial Experience | full time | 2 years | on-campus | $37635 |
College Student Profiles
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Biology (2)
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Artificial Intelligence and Machine Learning (2)
Arts (1)
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Medicine (1)
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19 Reviews Found
- Likes:
- To do research in AI and AI in music. Queen Mary is best for that.,
- Good research quality, experienced teachers, location, good job opportunities, good university accomodation, Research excellence and innovation, part of Russell Group, generous support package of scholarships, bursaries and studentships to newly-qualified postgraduate applicants.
- Dislikes:
- London is very expensive city so while planning about budget keep this in mind. Lack of structure on extra-circular activities. Qmul has a lot of opportunities to do things for those who look. These are not always well marketed or known.
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