MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL, London
3.7 /5
- Public University
School of Electronic Engineering and Computer Science
Talk to ExpertMSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Overview
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
Our counselors guided 3 students in securing admission to this course. Know moreThe Queen Mary University of London provides an exceptional MSc Data Science and Artificial Intelligence (Conversion Programme) program at the PG level, designed to be completed in 1 year.
To gain admission to the program, students must meet the requirements for the course, which include having a valid score on tests like IELTS and PTE. One of the most important things that students have to keep in mind before applying is to know the number of seats available. This is to be done to have an idea about whether to apply early or not.
The Queen Mary University of London tuition fee for the first year of the MSc Data Science and Artificial Intelligence (Conversion Programme) is GBP 31,500. Additionally, prospective students should budget for living expenses, which include accommodation (rent or hostel), food, books, and other essential utilities, averaging around GBP 10,217.
Duration | 1 year Get Curriculum |
Tuition & Fees | ₹37.77 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc Data Science and Artificial Intelligence (Conversion Programme)
Table of content
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Rankings
- Placements
- Highlights
- Scholarships
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Fees
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
For attending the Queen Mary University of London for MSc Data Science and Artificial Intelligence (Conversion Programme), students have to pay the tuition fee as well as the living expenses. The Queen Mary University of London MSc Data Science and Artificial Intelligence (Conversion Programme) fee structure varies for domestic and international students.
Foreign students will have to pay GBP 31,500 for the first-year of study. Other than the annual tuition fee, they will also have to cover the living expenses (includes housing, food, transportation, books and supplies, and other miscellaneous expenses), which is around GBP 10,217 for overseas students. Based on the student’s lifestyle and purchasing power, the cost of living varies.
Refer to the table below for the breakdown of expenses for the Queen Mary University of London MSc Data Science and Artificial Intelligence (Conversion Programme) cost of attendance:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 37,77,165 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 12,25,121 |
| Refundable Deposit | INR 2,39,820 |
Calculated at the exchange rate of 1 Pound = INR 119.91 | Tuition & expenses were last updated on 30ᵗʰ June 2025MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Curriculum
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
Latest curriculum for MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in M.Sc. at QMUL
Download exam sample paper
IELTS
IELTS
Duolingo
PTE
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Entry Requirements
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- 60%
- Read less
Applicants must meet the following requirements:
- A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject not related to Computer Science, Electrical Engineering or Electronic Engineering.
- Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in programming or statistics.
- Applicants with degrees obtained more than five years ago who do not meet the above criteria, and those with relevant experience will be considered on an individual basis and must demonstrate evidence of:
- Aptitude and technical skills normally acquired through employment OR
- Evidence of successful completion of relevant programming qualifications, such as those provided by the Institute of Coding
- India Specific - The university normally consider the following qualifications for entry to the postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
- UK 2:1 degree: 60% to 70%
- We do not consider the Bachelor of Vocation (B. Voc.)
Convert your GPA to Percentage
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GPA
Percentage
CGPA
Out of 4
3 year degree accepted
- N/A
- Three year undergraduate degree is acceptable as well
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Convert your GPA to Percentage
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 4
PTE
- Marks - 71/90
- PTE minimum score 71 overall with 65 in each of Writing, Listening, Reading and Speaking
IELTS
- Marks - 6.5/9
- Read less
- IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
Duolingo
- No specific cutoff mentioned
Sign-up to view details
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Application Process
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
Step one
Prepare documents for application
SOP
- Statement of purpose. The statement of purpose should explain why student want to study the chosen programme and how it will help the future career aspirations. This should typically be one side of A4 paper.
LOR
- Referee details. Please provide the contact details of one or two referees on your application as required. Students should provide details of an academic referee if you are currently studying, or if have graduated within the last five years. Professional references may be considered if have graduated more than five years ago.
CV
- Curriculum Vitae (CV)/Resume is required
Step two
Additional documents required
- Degree transcripts. Please provide a transcript for the degree study. If have not yet completed the degree please provide a transcript of the results achieved to date. If have completed more than one university qualification, please provide a transcript and certificate for both.
- Proof of english language proficiency
- Copy of passport
Step three
Start your online application
Step four
Application deadline
Fall (Sept): 1st Sept
*The dates specified are tentative dates as per the previous year records. Our expert counselors can help with exact deadline date. Connect with the expert now!
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Rankings
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
University Ranking
| Rank | Rank Publisher |
|---|---|
| #41 | |
| #72 | |
| #38 |
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Placements
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
| Particulars | Statistics (2023) |
|---|---|
| Average Salary | Pound 37,166 |
Top Recruiters for QMULAccenture
Credit Suisse
Factset
Google
IBM
Queen Mary University of LondonStudents Ratings & Reviews
3.7/5
16 Verified ReviewsVibe of Campus
- Academically oriented
- Friendly
- Multi-dimensional
- Liberal
Student Views
- 71% students never faced discrimination in this university
Internships3.4
Part time work3.2
Post study jobs3.2
Quality of faculty4.2
Student Life4
Value for money3.6
Public transportation4.6
Safety3.7
Indian Food3.9
Permanent Immigration3.1
M
Mohammad Inshaul Haque
MSc Computer Games - Batch of 2025
Offered by Queen Mary University of London
4.8
Queen Mary University of London is good with great academics.
Tips: Academics here are challenging, so understanding your course will help. The workload is intense but rewarding, with strong support services, including academic help and mental health resources. Living in London can be costly, so budgeting is crucial. Many students choose on-campus or nearby housing to manage expenses. QMUL has excellent networking opportunities through career events and workshops, which can help secure internships or job placements. For international students, scholarships are available. Some may cover part or all of the tuition and even provide living allowances. Apply early, as it's competitive. Adjusting to life in London's multicultural environment may feel like a cultural shift, especially if you're from abroad, but engaging with different people and campus activities ease the transition. Overall, QMUL offers a supportive and inclusive environment that most students find rewarding- your experience will largely depend on how you engage and explore.
Reviewed on 29 Oct 2024Read more
Y
Yamini Mohite
BSc (Hons) Business Management - Batch of 2024
Offered by Queen Mary University of London
3.5
Adapting to a competitive and culturally diverse university experience.
Tips: Before joining this college, students should know that the academic environment is competitive, and on-campus resources are essential for success. Adjusting to the new cultural norms can be challenging, especially in communication style and socializing. I applied for a merit-based scholarship that provided partial tuition. Overall, I am satisfied with the university course and country, but adjusting took time. The educational quality is high, but managing costs and cultural differences can be tough.
Likes (Post study jobs): I read 4 for post-study jobs as soft companies offer decent opportunities including those that sponsor shipwalk visas though availability varies by field job roles are typically in engineering and business with average starting salaries regarding from 30 to 35K per year.
Dislikes (Part time work): I rated three because while part-time opportunities are available on campus they can be limited and competitive. Off-campus jobs are harder to secure for international students as balancing work and academics is challenging and the average pay is moderate around 10 to 15 pounds.
Reviewed on 27 Sep 2024Read more
S
Sanchali Antal
MSc Marketing - Batch of 2024
Offered by Queen Mary University of London
4.7
Best Russell Group University.
Tips: There is nothing to worry about while joining QMUL, as you'll be provided with everything. They provide you with an email account where they send all the important information. You just have to keep a lookout on your email. Everything is quite easy to do. The faculty is warm, friendly, understanding and will help you any time. Public transportation is easily accessible and convenient to use. I am satisfied with my experiences.
Reviewed on 25 Sep 2024Read more
Priya Kashyap
MSc in Big Data Science - Batch of 2024
Offered by Queen Mary University of London
1.6
Studying and networking matters a lot.
Tips: Students should be aware that there are no direct scholarships or internship opportunities offered by the university. However, the environment is friendly and welcoming, and although there are some cultural shifts to deal with, overall the experience was good.
Likes (Public transportation): The university is well connected by public transportation, with bus stations close to the university for both on-campus and off-campus students. There are two nearby tube stations and four bus stops. The bus fares are reasonable compared to the underground.
Dislikes (Post study jobs): There is no particular support for international students for any job, even for part-time work. The university does have a part-time job fair, but I didn't get any positive results from it. There are lots of companies that didn't get any response yet, so it is okay.
Reviewed on 17 Sep 2024Read more
A
Anonymous
MSc Management - Batch of 2024
Offered by Queen Mary University of London
3.2
Good university with supporting and knowledgeable faculty.
Tips: Students should be prepared for a cultural change, as London is very different compared to other cities in India. The weather can be harsh sometimes, and it gets difficult to start early for college during cold weather conditions. Also, check all the scholarship opportunities that are available before starting your journey here. Try joining the college early, as it can increase your chances of getting campus-based accommodation, which is much safer and would make it easier to manage college life with less travelling.
Reviewed on 17 Sep 2024Read more
View All 17 Reviews
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Highlights
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
- This programme is ideal for highly motivated applicants seeking to develop knowledge and technical expertise in data science and AI
- Students will discover data science and AI principles to create solutions for business and industry challenges
- Students will learn from experts engaged in cutting-edge research in Machine Learning, Natural Language Processing, Computer Vision, and Game AI
MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Scholarships
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL
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About the author
Akanksha Malhotra is a Content Writer / Editor at Shiksha.com's Study Abroad vertical, creating content for University pages. She is a seasoned education writer with 5+ years of experience, including writing articles for all-India and state levels, r...Read Full Bio
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MSc Data Science and Artificial Intelligence (Conversion Programme) at QMUL Contact Information
MSc Data Science and Artificial Intelligence (Conversion Programme)
at QMUL