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.
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
Application Processing Time in Days: 30
Minimum English Language Requirements
|English Level Description||IELTS (1.0 -9.0)||TOEFL IBT (0-120)||TOEFL CBT (0-300)||PTE (10-90)|
|Extremely Limited||< 4||< 31||< 93||< 30|
Job Opportunity Potential
The services we offer to support your career development include:
- one-to-one appointments to help you with your career direction, give feedback on job applications, offer insight into the job market and prepare you for interviews
- workshops to support your career development and job hunting
- employer events attracting recruiters and alumni from a rich range of sectors
- support for finding internships and parttime jobs
- specialist careers consultants to support PhD students through appointments, events and workshops.
Support for international students
- We offer a programme of support for international students throughout the year, which involves talks on how to find graduate work in the UK and an International Students Week featuring external speakers.
- Students can search for jobs across the world with our international jobs database, as well as browse our guides on getting work in particular markets.
- All students have access to a rich programme of employer events and career development workshops, running across the University year.
Support after graduation
Our careers support continues after you leave Queen Mary.
- All graduates have access to our Careers and Enterprise services for two years after graduation.
- You can have -
free one-to-one appointments in person, over the phone or via Skype
Attend our employer events
use our online psychometric testing and mock-interview software
access our jobs board – over 3,000 employers uploaded vacancies in 2018/19.
Queen Mary graduates have gone on to work in these organisations:
• Accenture • Allen & Overy • Arup • AstraZeneca • Baker McKenzie • Barts Health NHS Trust • European Central Bank • Fintech Innovation Lab • Google • HSBC • IBM • Institute of Cancer Research • Institute of Dentistry • J.P. Morgan • Jaguar Land Rover • Lloyds Banking Group • Natural History Museum • Penguin • PwC • Queen Mary • Save the Children • Shell • Stella McCartney • Thales • Thomson Reuters • World Economic Forum ...and many more!
93% of our postgraduates are in work and/or study six months after graduation. 84% of those in work/study are in highly skilled work/study (most recent DLHE Survey of 16/17 leavers)*
Many students and graduates across Queen Mary start or grow their own business or social venture each year. In 2018/19, Queen Mary gave out £45,000 in seed funding to help students start new, or grow existing businesse
- 2 Years PSW is applicable after the course completing (Bachelors level or above).
Admission Requirement / Eligibility Criteria
- A 2:1 or above at undergraduate level
We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
- UK 1st class degree: 70% to 80%
- UK 2:1 degree: 60% to 70%
- UK 2:2 degree: 50% to 60%
Offer conditions will vary depending on the institution you are applying from. For some institutions/degrees we will ask for different grades to above, so this is only a guide.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
Total Tuition Fee:
Annual Cost of Living: 12006 GBP
Application Fee: N/A
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