MSc in Data Science and Artificial Intelligence
at Queen's University Belfast, Belfast

4.1 /5

(19 Reviews)

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#153 in World

#29 in UK

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School of Electronics,Electrical Engineering and Computer Science

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MSc in Data Science and Artificial Intelligence
at
Queen's University Belfast
Overview

This course is offered by School of Electronics,Electrical Engineering and Computer Science department of the university. Queen's University Belfast offers a 1 year long MSc in Data Science and Artificial Intelligence course. The tuition fees to pursue this program is Pound 25800.0. English language proficiency test accepted for admission to Queen's University Belfast MSc in Data Science and Artificial Intelligence is IELTS. Graduation cutoff for admission is 58.0%.

Duration	1 year
Tuition & Fees	₹31.10 Lakh Get Fees details
International Students Admission Website	Go to Website
Official Career Service Website	Go to Website
Course Level	PG Degree

MSc in Data Science and Artificial Intelligence

Table of contents

Overview
Fees
Entry Requirements
Rankings
Highlights
Scholarships

MSc in Data Science and Artificial Intelligence
at
Queen's University Belfast
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 31,10,190

Calculated at the exchange rate of 1 Pound = INR 120.55 | Tuition & expenses were last updated on 7ᵗʰ November 2025

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MSc in Data Science and Artificial Intelligence
at
Queen's University Belfast
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

58%
Indian Equivalent of Upper Second-Class Honours:

First Division Pass and a minimum final average of 58 - 60% (in the traditional system), or CGPA 5.8 - 7.5 on the 10 point scale; depending on the institution attended and the grading system used

Students must hold a 2.1 Honours degree or equivalent qualification acceptable to the University in Computer Science, Software Engineering, Electrical and/or Electronic Engineering, Mechanical Engineering, Mathematics with Computer Science, Physics with Computer Science, Mathematics or a related discipline.

Applicants must normally have achieved 2:1 standard or above in relevant modules.

Applicants who hold a 2.2 Honours degree and a Master’s degree (or equivalent qualifications acceptable to the University) in one of the above disciplines will be considered on a case-by-case basis.

All applicants will be expected to have very good mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification.

Applications may be considered from those who do not meet the above requirements but can provide evidence of recent relevant technical experience in industry, for example, in programming, automation or robotics.
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MSc in Data Science and Artificial Intelligence
at
Queen's University Belfast
Rankings

University Ranking

Rank	Rank Publisher
#24	UK University The Complete University Guide, 2026
#45	University The Guardian, 2026
#198	University THE (Times Higher Education), 2026

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Queen's University Belfast
Students Ratings & Reviews

4.1/5

18 Verified Reviews Info Icon

Student Views (Based on Reviews)

58% students never faced discrimination in this university

Vibe of Campus

Friendly

Academically oriented

Multi-dimensional

Fun loving

Internships3.6

Part time work4.2

Post study jobs3.9

Quality of faculty4.4

Student Life4.6

Value for money4.2

Public transportation4.4

Safety4.6

Indian Food3.6

Permanent Immigration3.3

Anonymous

MSc(Res) in Cancer Medicine - Batch of 2026

4.1

Just keep exploring and everyday will be a new surprise.

Tips: Not everyone would talk to you. It doesn't mean that people here don't like you. Sometimes you could be mistaken for a racist mentality. But the people are quite in general. They are polite if you ask for help. But don't expect they will always be willing to talk. I don't mean to say there is 0 racism here. But their basic human nature and racist attitude are distinguishable. Eating out could be expensive. Make the right friends. Take time to cook your own food rather than buying a pack of tortillas. Home cooked meal hits different.

Likes (Value for money): I study at Patrick Johnson centre for Cancer Research. It's one of the most advanced centres and the Principal investigators get loads of funding for the project. This is really important if you are aspiring to work in research. The labs, the projects, the seminars, the modules, and the help you get to learn everything are 10/10.

Dislikes (Part time work): The college schedule of MRes Cancer Medicine is for 5 days a week 9 am to 5 pm. It becomes pretty tiring to go to work after college and work for at least 4-5 hours. Anyway, this experience is tough. But you get a good hang of this routine. Unknowingly, it is making you tough for your struggle.

Total Monthly ExpensePound 150

Prepping time for classes10 hours/Week

Expected Annual SalaryPound 25900

Reviewed on 13 Dec 2025Read more

Deep Tripathi Verified Icon

MSc Business Analytics - Batch of 2026

3.6

Fun loving and supportive with great facilities, just like a Russell group university should be.

Tips: Students should know that the college is situated in Belfast, which is bit isolated from the rest of the UK. However, faculty members and support staff are excellent here. Lab facilities, classrooms are well managed. Usually, you get a scholarship which is between 4000 pounds to 6000 pounds depending on your course.

Total Monthly ExpensePound 900

Prepping time for classes30 hours/Week

Expected Annual SalaryPound

Reviewed on 3 Dec 2025Read more

Rithesh Kalladka Harisha Verified Icon

MSc in Pharmaceutical Analysis - Batch of 2026

4.4

Diversity that becomes a family at QUB.

Tips: It's a great place to study after moving to Belfast; the people are very kind, and the nightlife is good. When you come to a new country, try to blend in and explore the culture. The university offers financial aid, but you might need to provide supporting documentation. A loan document could be helpful. It offers around 500. I am very satisfied with my time here.

Likes (Part time work): We have opportunities in the union with many roles, even off-campus; we have access to plenty of jobs. The kind and polite people create a nice working environment that is manageable with academics. I would suggest avoiding food chain jobs. On average, a student can earn £850 per month.

Dislikes (Internships): There are fewer internship opportunities in Belfast compared to the mainland. Since most courses start in September, many internship postings come out in October and November, which is when new students arrive and often miss out. Therefore, I would recommend starting your search as soon as you begin your course.

Total Monthly ExpensePound 575

Prepping time for classes5 hours/Week

Expected Annual SalaryPound

Reviewed on 24 Aug 2025Read more

Anonymous

MSc in Bioinformatics and Computational Genomics - Batch of 2025

Perfectly designed university for students.

Tips: I love the culture here in Belfast. The people are amazing and friendly, both in Belfast and in other cities in Northern Ireland. I got a PGT scholarship with an early bird offer of 2000+1500 = 3500. After subtracting the scholarship amount, I paid the fee amount. I am very satisfied with the course, the country, and the university.

Likes (Part time work): I spend my day walking from the student accommodation to my university, which takes about 15-20 minutes. I love learning with my classmates, and the campus is amazing. The student union is a great place to hang out, socialize, and work. They have a piano and organize many events, including career fairs, festivals, and treasure hunts. There are also many clubs, including hiking, sports, equestrian, education, spiritual, and water sports clubs.

Dislikes (Internships): The faculty encourages and trains students to work on their part to understand and learn the subject by giving application-based assignments. All the faculty members are just an email away. They give their appointments to students in need and help to understand students' POV as well. The faculty are a mixture from different parts of the world with diversity from Europe, Asian, and the UK.

Total Monthly ExpensePound 630

Prepping time for classes15 hours/Week

Expected Annual SalaryPound 30000

Reviewed on 4 Dec 2024Read more

Mohammad Arsalan Verified Icon

MSc Artificial Intelligence - Batch of 2025

3.5

The curriculum is well defined and the faculty are very helpful.

Tips: One of the key reasons I joined this university is because it's the cheapest Russell Group university, and the cost of living in Belfast is comparatively low compared to other cities. Belfast is a small city, and the university has scholarship programs, but they won't affect you. The course structure is well-defined, and the professors are very helpful, but you will struggle to get marks from them. Overall, I am quite satisfied with my experiences.

Likes (Part time work): You can get part-time work both on and off campus especially around Christmas. It may be a bit of a struggle at first, but there are plenty of part-time options available, so don't stress about finding a job. If you budget wisely, you can cover most of your expenses and even save some money.

Dislikes (Value for money): As an international student from India the high tuition and living costs at Queen's University Belfast can be a financial burden. The scholarship you receive won't be enough to offset the cost of living especially for housing and accommodation.

Total Monthly ExpensePound 800

Prepping time for classes40 hours/Week

Expected Annual SalaryPound 30000

Reviewed on 3 Dec 2024Read more

View All 19 Reviews

MSc in Data Science and Artificial Intelligence
at
Queen's University Belfast
Highlights

The MSc in Data Science and Artificial Intelligence at Queen’s University Belfast is designed to prepare students to build intelligent systems that make sense of data, automate tasks, and support decision-making in complex environments.
This future-focused programme blends in-demand skills in data science, machine learning, and AI system design with a hands-on, project-led learning experience.