MSc Artificial Intelligence
at University of East London, London

3.2 /5

(15 Reviews)

Shiksha popularity ranking

#101 in UK

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Public University
School of Architecture, Computing and Engineering

MSc Artificial Intelligence
at
UEL
Overview

Our counselors guided 5 students in securing admission to this course. Know more

School of Architecture, Computing and Engineering at UEL offers MSc Artificial Intelligence. The 12 months Degree course has primary stream as IT & Software. The UEL tuition fees for international students is Pound 15960.0. The Degree course offered by the at UEL requires IELTS and PTE. Graduation cutoff for admission is 55.0%.

Duration	12 months
Course Level	PG Degree
Mode of Course	Full Time
International Students Admission Website	Go to Website
Tuition & Fees	₹16.86 Lakh View full breakup
Type of University	Public
Official Career Service Website	Go to Website

MSc Artificial Intelligence
at
UEL
Fees

1st year tuition fees

Fees components	Amount (for 1 year)
Tuition & fees	INR 16,85,855

Other expenses in 1st Year

Fees components	Amount (for 1 year)
Hostel & Meals	INR 10,38,132
Insurance	INR 81,969
Total approximate fees	INR 11,20,101

Calculated at the exchange rate of 1 Pound = INR 105.63 | Tuition & expenses were last updated on 26ᵗʰ October 2024

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MSc Artificial Intelligence
at
UEL
Curriculum

Latest curriculum for MSc Artificial Intelligence at UEL 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 MS at UEL

MSc Artificial Intelligence
at
UEL
Entry Requirements

Requirements for 12th grade Lock Icon

No specific cutoff mentioned

Graduation Lock Icon

55%
Applicants should hold a bachelor's degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content)

Applicants must have at least a 3 year Second Division Honours Bachelor of Arts, Science or Commerce (minimum length 3 years), or BEng, BAgriculture, B Laws, B Medicine, B Dentistry (3 year Bachelor or Arts, Science or Commerce, BTech etc - i.e. not Honours also acceptable) and have scored an average of:

50% or above from the following Universities: Delhi; Mumbai; Pune; Kolkata; Chennai; Anna; Bharatiyar; MSU Baroda; Bangalore or

55% or above from all other recognized institutions Universities

The university is aware of with different grading scales and required score:

Gujarat Technological University: CGPA 5.8

Amity University: CGPA 5.5

Kannur University: B or above. (A = 75 to 89, B+ = 60 to 74, B =50 to 59)
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GPA

Percentage

CGPA

GPA score

3 year degree accepted Lock Icon

N/A
Applicants must have at least a 3 year bachelor degree

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GPA

Percentage

CGPA

GPA score

PTE

No specific cutoff mentioned
NA

IELTS

Marks - 6/9
with minimum 6.0 in writing and speaking, and 5.5 in listening and reading(or recognised equivalent)

Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
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Other eligibility criteria Lock Icon

University welcome applications from those who can demonstrate their enthusiasm and commitment to study and have the relevant life/work experience that equips them to succeed on the course. They will assess this from the information provided in your application or may request additional information such as a CV or attendance at an interview

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Conditional Offer Lock Icon

Yes
Based on the information students provided in his/her application and/or interview, the offer conditions may include: Achieving minimum specified grades in qualifications they are taking or for which they have not yet received results Meeting the minimum English language requirements Completing a minimum period of relevant work experience
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Which exams out of the above do I need to give?

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MSc Artificial Intelligence
at
UEL
Application Process

Step one

Prepare documents for application

LOR

Students must supply two academic referees

Step two

Additional documents required

Academic Transcripts
Proof of English Language Proficiency
Copy of Passport

Step three

Start your online application

https://uel.ac.uk/postgraduate/courses/msc-artificial-intelligence

Step four

Application deadline

Winter (Jan): 29th Nov

*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 Artificial Intelligence
at
UEL
Rankings

University Ranking

Rank	Rank Publisher
#56	University The Guardian, 2025
#125	UK University The Complete University Guide, 2025
#409	Europe QS, 2025

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MSc Artificial Intelligence
at
UEL
Placements

Particulars	Statistics (2024)
Internship Available	Yes, The course is also available with an optional Industrial Placement The industrial placement component is for a duration of an academic year, i.e., normally 30 weeks including minimum 24 weeks of deli Read more The course is also available with an optional Industrial Placement The industrial placement component is for a duration of an academic year, i.e., normally 30 weeks including minimum 24 weeks of delivery time Students on the two-year MSc with placement courses must pass all taught modules their respective course plus dissertation, ie, 180 credits, before they become eligible to progress to the next stage and undertake industrial placement. Students will also normally be required to fulfil the 80% attendance requirement (on all modules) to be eligible to progress to the industrial placement module.

Particulars

Statistics (2024)

Internship Available

Yes,

The course is also available with an optional Industrial Placement The industrial placement component is for a duration of an academic year, i.e., normally 30 weeks including minimum 24 weeks of deli

The course is also available with an optional Industrial Placement The industrial placement component is for a duration of an academic year, i.e., normally 30 weeks including minimum 24 weeks of delivery time Students on the two-year MSc with placement courses must pass all taught modules their respective course plus dissertation, ie, 180 credits, before they become eligible to progress to the next stage and undertake industrial placement. Students will also normally be required to fulfil the 80% attendance requirement (on all modules) to be eligible to progress to the industrial placement module.

View placement details

University of East London
Students Ratings & Reviews

3.2/5

12 Verified Reviews Info Icon

Vibe of Campus

Academically oriented
Easy going
Multi-dimensional
Fun loving

Student Views

27% students never faced discrimination in this university

Internships2

Part time work2.8

Post study jobs2.4

Quality of faculty3.5

Student Life3.6

Value for money3.3

Public transportation4.3

Safety3.4

Indian Food3.8

Permanent Immigration2.4

Anonymous

MBA Master of Business Administration with Placement Year - Batch of 2024

Offered by University of East London

One should enjoy their time at the University of East London

Tips: Stay on campus to enjoy the full university experience. Avail of all scholarship opportunities before applying and do thorough research before choosing your course. Do a part-time job on campus as it helps a lot with future career prospects and will help secure a job in the future.

Reviewed on 21 Dec 2023Read more

Pravin

MSc International Business Management - Batch of 2023

Offered by University of East London

Good country to live in. Satisfied with the University.

Tips: After coming to this college students can easily take up a job here and get settled. There are many opportunities. I did not experience much transition after coming here as I have lived like this in India. England is a good country to live in and be more modern. In my university the professors are good and they are very helpful and so is the infrastructure but the fee is a little bit much as compared to the facilities but it is okay I am satisfied with it.

Reviewed on 19 Jul 2023Read more

Anonymous

MSc International Business Management - Batch of 2024

Offered by University of East London

2.7

Money is not well spent.

Tips: No matter how much the University provides academics students have to look for employability skills. Only those who are in the eyes of the staff will be able to take up roles. This will fall on the level of enthusiastic participation. Scholarship and laptop allowance are there for free. UK is best but UEL is not even in average in the performance. I got lot of opportunities but I am afraid not everyone would be getting not even 5%.

Likes (Student Life): There are many things that go to keep the students active in campus. Though sometimes everyone goes for various part times and are not able to participate but is worth. Every now and then you will get goodies and good enjoyment. The campus is very impressive.

Dislikes (Internships): Mostly the department is trying to enhance the options, but unfortunately, there is nothing to learn or the quality of the learning or encouragement is not fruitful. It is better to take any analytics course than IBM. Doesn't fill the late for opportunities or employability. Internships are not much to go for practical exposure. They say they have a lot of plans but are uncertain.

Reviewed on 15 Mar 2024Read more

Mohammed Aleem Verified Icon

MSc Construction Engineering Management - Batch of 2023

Offered by University of East London

2.9

Cheerful and intellectual experience

Tips: Scholarships are only offered to students who have been consistent in their academics and have a GPA of 3 and above. Also speaking good English and being an active participant will get you a lot of opportunities and you will be able to connect with people across the city and campus.

Likes (Public transportation): The campus is very well connected and many options are available to commute like buses, rental cycles, trams, etc. Some students even get bus passes issues through the local depot. You can even get assistance from the University office. The tickets are also very cheap and helpful to international students who do not have their own conveyance.

Dislikes (Value for money): It gets very difficult for international students to settle down here due to very high living costs and rents. Also, food options are not adequate and it would be advised to cook your own food and buy your own groceries. Part-time jobs are also very less here and if you are able to secure then pay would not be that high.

Reviewed on 19 Jul 2023Read more

Aman Pawar Verified Icon

MSc Cloud Computing - Batch of 2026

Offered by University of East London

3.3

The university is good for international students, but you should keep your options open.

Tips: You will definitely face hardships because of the weather, but it's really lovely. I had no scholarships but students do get it, so talk with the university, I'm sure you'll get it. The university is okay not that good, but it's in London, that's the best part. The crowd is almost all Indian, so you won't get much exposure to foreign students. But that's good and bad at the same time. The courses are really well structured but don't take the placement year. It's useless and will not help you. What matters is you come here and get a job in a good country with a quality crowd.

Likes (Student Life): The student life is absolutely amazing, but it is subjective. If you are an outgoing person who is friendly with everyone, you will enjoy it here. The campus organizes events that keep students engaged, and they also have a common house where we can play games, do arts and crafts, and use the PS. There are many communities, such as the Indian, Bangladesh, and other regional communities, that organize events on special occasions.

Dislikes (Indian Food): For someone coming here from India, the restaurants here are a big disappointment. Both, the taste and the money are not worth it. I rather prefer cooking by myself. I'm not a professional but it is what I grew up eating and those taste hold a special place in our heart.

Reviewed on 19 Nov 2024Read more

View All 15 Reviews

MSc Artificial Intelligence
at
UEL
Highlights

This program is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning), developing smart and insightful software agents/algorithms that can help business decision making and strategic planning for any organisation
The program provides students with deeper knowledge and advanced skills that will allow them to contribute to the development and design of machine learning automation and predictive modelling
The program uses a series of face-to-face lectures, workshops and lab-based learning as a way of securing a knowledge base; whereas other teaching methods, practical sessions, seminars and reflection of work-based practice to enforce learning and professional skills are also used