MSc in Artificial Intelligence and Data Science
at Edinburgh Napier University, Edinburgh

4.0 /5

(3 Reviews)

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#77 in UK

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MSc in Artificial Intelligence and Data Science
at
Edinburgh Napier University
Overview

Our counselors guided 1 student in securing admission to this course. Know more

The 1 year course of MSc in Artificial Intelligence and Data Science is offered by the Edinburgh Napier University. To pursue Degree MSc in Artificial Intelligence and Data Science fees for international students is Pound 20395.0. The Edinburgh Napier University MSc in Artificial Intelligence and Data Science requirement for international students are IELTS and PTE. Graduation cutoff for admission is 55.0%.

Duration	1 year
Tuition & Fees	₹24.46 Lakh Get Fees details
International Students Admission Website	Go to Website
Official Career Service Website	Go to Website
Course Level	PG Degree

MSc in Artificial Intelligence and Data Science

Table of content

Overview
Fees
Entry Requirements
Rankings
Highlights
Scholarships

MSc in Artificial Intelligence and Data Science
at
Edinburgh Napier University
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 24,45,565

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 12,05,096
Insurance	INR 93,050

Calculated at the exchange rate of 1 Pound = INR 119.91 | Tuition & expenses were last updated on 15ᵗʰ June 2025

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MSc in Artificial Intelligence and Data Science
at
Edinburgh Napier University
Entry Requirements

Graduation Lock Icon

55%
Bachelor (Honours) Degree at a 2:2 or above in an appropriate numerate field, for example, software development, computing, business analytics, engineering, mathematics, management, economics, physics and other sciences

Applicants have gained a bachelors degree with overall grade of 55% or above

Other qualifications or experience demonstrating through our recognition of prior learning processes that you have appropriate knowledge

We may also consider lesser qualifications if you have sufficient professional work experience within a relevant industry. There will also be an interview for this course if necessary, undertaken by the programme leader, to assess suitability of applicants from a non-standard background.
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GPA

Percentage

CGPA

GPA score

PTE

Marks - 56/90
With a minimum of 51 in each component

IELTS

Marks - 6/9
with no component below 5.5

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Percentage

CGPA

GPA score

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MSc in Artificial Intelligence and Data Science
at
Edinburgh Napier University
Rankings

University Ranking

Rank	Rank Publisher
#94	University The Guardian, 2026
#95	UK University The Complete University Guide, 2026
#325	Europe QS, 2025

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Edinburgh Napier University
Students Ratings & Reviews

4/5

2 Verified Reviews Info Icon

Student Views (Based on Reviews)

33% students never faced discrimination in this university

Vibe of Campus

Friendly

Easy going

Multi-dimensional

Academically oriented

Internships3

Part time work3

Post study jobs3

Quality of faculty4.5

Student Life3

Value for money4

Public transportation5

Safety5

Indian Food5

Permanent Immigration4

gopi chand nelluri Verified Icon

MBA - Batch of 2026

Offered by Edinburgh Napier University

Navigating university life: Transition, scholarships, and satisfaction.

Tips: Many students experience a shift from high school to university, with more independence and responsibility for their studies. In university, students are often expected to manage their time, prioritize tasks, and take more initiative in their learning. For international students, the cultural shift can be significant. Difference in teaching style, social norms, and even everyday life practices such as food, public transportation, or communication style can be noticeable. Adjusting to a new academic system, making new friends, and understanding the local culture might take time, but most students adapt through orientation programs, interacting with peers, and immersing themselves in campus activities. The day usually starts with classes, which can range from lectures to smaller seminars. Depending on the course, students might have labs, group work, or individual study sessions. Some students might have back-to-back classes, while others have a longer break between. After classes, students typically spend time in the library or their dorms studying or working on assignments. Group study sessions or tutoring might be part of their routine as well. Students often take part in extracurricular activities either during the day or in the evening. This could be a student club meeting, a sports practice, or a creative workshop. Overall, I am quite satisfied with my experiences.

Total Monthly ExpensePound 6275

Prepping time for classes13 hours/Week

Expected Annual SalaryPound 67350

Reviewed on 27 Feb 2025Read more

Prashanth Bandameedi Verified Icon

BA (Hons) Accounting - Batch of 2022

Offered by Edinburgh Napier University

4.2

The teaching staff is very kind and always ready to clear my doubts.

Tips: I could talk about joining a university in a foreign country. Before joining a foreign university, you need to keep a few things in mind like: Since you'd be on your own, you have to manage your finances well. In most cases, you would have a budget, and exceeding that could be a painful scenario. Take care of all documentation-related items too, visa-related docs, passports, admission letters, etc. Finding accommodation could be an uphill challenge, but eventually, you'll find it. Most importantly, you have to get out of your comfort zone. Network at university, ask for help, find out how to deal with emergencies, follow local lawns and of course, stay connected with friends and family. These are quite indicative and general in nature. These are challenges all study abroad aspirants face. Each may face some or more of these, but with a little bit of determination, it does work out fine.

Total Monthly ExpensePound 2775

Prepping time for classes4 hours/Week

Expected Annual SalaryPound 9450

Reviewed on 9 Nov 2023Read more

SURBHI SANDEEP DALVI Verified Icon

Msc Architectural Technology & Building Performance - Batch of 2025

Offered by Edinburgh Napier University

2.9

Friendly university with diverse faculty and peers.

Tips: University is very friendly and has a diverse student body and a variety of scholarship opportunities. The program is well-structured, and teachers are supportive. This Master's program focuses on research paper development, and there’s not too much emphasis on studying. The university does not guarantee placements after graduation. However, there are various seminars and job fairs held by the university to improve the students' portfolios and provide them with job opportunities. The minimum salary that the graduate student needs to earn is over 30,000 in order to get an extension for their graduate visa.

Likes (Public transportation): Transportation in the area is well connected. Even at night, public transport is well scheduled. Buses are the best mode of transportation. The nearest train station is about 20–30 minutes from the university. The area around the university is quiet and safe, so it's also an option to walk.

Total Monthly ExpensePound 1025

Prepping time for classes15 hours/Week

Expected Annual SalaryPound 30800

Reviewed on 9 Mar 2025Read more

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MSc in Artificial Intelligence and Data Science
at
Edinburgh Napier University
Highlights

MSc in Artificial Intelligence and Data Science course equips professionals with hands-on, industry-relevant skills in data engineering and AI, ensuring graduates can immediately apply their knowledge to real-world challenges.
the programme emphasises practical applications, such as big data systems, machine learning solutions and cutting-edge tasks, which are crucial for implementing AI effectively in any organisation.
Through Edinburgh Napier’s strong research and knowledge-transfer partnerships with industry, students tackle real AI problems directly related to their work environments, enhancing productivity and innovation from day one.
Students choosing Edinburgh Napier's MSc Artificial Intelligence and Data Science gain critical skills to excel in data-driven careers across diverse industries. The programme offers hands-on training in data analytics, machine learning, and visualisation, preparing graduates to tackle complex data challenges with confidence