Data Science and Artificial Intelligence (Conversion Programme) MSc
Please note that this course will begin earlier than other Queen Mary courses, to allow us to deliver two weeks of intensive pre-sessional teaching, to equip you with the technical skills needed to complete the course. All students of this course will need to arrive in London and enrol during the week commencing 4 September 2023. Teaching will start on 11 September 2023 and attendance at the the pre-sessional modules taught from 11-22 September is mandatory.
This degree programme aims to help learners without strong backgrounds in programming or statistics to acquire a level of skill in these areas, before learning to apply them to specialist AI techniques.
During the programme, you’ll discover and devise data-driven AI solutions that can be applied to support and enhance organisational decision-making. You’ll also explore the essential ethical and legal issues that need to be considered when developing AI technology.
You’ll attend campus for two weeks of intensive teaching at the beginning of the programme. These two intensive preparatory modules will allow you to acquire the pre-requisite skillset in programming and statistics, before diving into more specialised modules.
Before starting the programme, you can complete a free online short course, Get Ready for a Masters in Data Science and AI, developed by a collaborative partnership of leading higher education institutions, including Queen Mary. The short course is designed to help you identify whether you’re ready for masters study, improve your data science skills, and get to grips with the basics of Python.
Note - Tuition Fee is estimated.
For More Information Please Contact To Our PSA Counselor.
Campus Information
Mile End Campus
It contains the Faculty of Humanities and Social Sciences, the Faculty of Science and Engineering, the Queens' Building, the main college library, the student union, Draper's bar and club, several restaurants, a number of halls of residences and a gym. The educational and research sites of the Arts Research Centre, Computer Science, the large Engineering building, G.E. Fogg Building, Francis Bancroft Building, G. O. Jones Building, Joseph Priestley Building, Lock-keeper's Graduate Centre, and the Mathematical Science Building, are all located within the Mile End campus
Intakes
- Sep
Application Processing Time in Days: 30
Application Process
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
PSW Opportunity
- 2 Years PSW is applicable after completing a minimum duration of 9 months course (like- Undergraduate, Postgraduate Level)
- 3 Years PSW is applicable after completing PhD level courses.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
27500 GBP
Average Cost of Living: 17796 GBP /year
Application Fee: N/A
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