Master of Science in Data Science and Machine Learning
at
NUS Singapore
Overview
National University of Singapore is among the popular universities to study Master of Science in Data Science and Machine Learning from abroad. The duration of Master of Science in Data Science and Machine Learning program is 1 year. The first-year National University of Singapore tuition fee for Master of Science in Data Science and Machine Learning is around SGD 55,590. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around SGD 8,243. Indian students must meet the National University of Singapore admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Master of Science in Data Science and Machine Learning
at
NUS Singapore
Fees
The National University of SingaporeMaster of Science in Data Science and Machine Learning fees includes first year tuition fee and cost of living for international students. The first-year tuition fee is around SGD 55,590. In addition to tuition costs, international students must manage their living expenses such as housing, food, and other utilities, which contribute to the total cost of living, estimated at SGD 8,243. The National University of Singapore cost varies depending on the additional cost.
Refer to the table below for a detailed fee breakup of the National University of Singapore Master of Science in Data Science and Machine Learning.
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1st year tuition fees
Fees components
Amount (for 1 year)
Tuition & fees
INR 38,45,160
Other expenses in 1st Year
Fees components
Amount (for 1 year)
Hostel & Meals
INR 6,17,342
Student Services Fee
INR 25,939
Calculated at the exchange rate of 1 SGD = INR 69.17 | Tuition & expenses were last updated on 29ᵗʰ August 2025
Master of Science in Data Science and Machine Learning
at
NUS Singapore
Curriculum
International students can access detailed course information by clicking the green button below for the National University of SingaporeMaster of Science in Data Science and Machine Learning program. The course PDF includes details on subjects covered, available electives, other course content, and a semester-wise breakdown of the curriculum.
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IELTS
IELTS
TOEFL
PTE
Master of Science in Data Science and Machine Learning
at
NUS Singapore
Entry Requirements
Requirements for 12th grade
No specific cutoff mentioned
Graduation
No specific cutoff mentioned
A Bachelor’s (Honours) degree or a 4-year Bachelor’s degree or its equivalent in a quantitative science (e.g. Mathematics, Statistics and Physics), Engineering or Computing Science.
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GPA
Percentage
CGPA
Out of 10
TOEFL
Marks - 85/120
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GPA
Percentage
CGPA
Out of 10
PTE
No specific cutoff mentioned
IELTS
Marks - 6/9
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Master of Science in Data Science and Machine Learning
at
NUS Singapore
Students also asked
Q: How can I get admission to MS at NUS Singapore?
A:
International students can apply to the NUS MS program by submitting an online application through the official website. Applicants should apply by the program deadline and pay a non-refundable application fee to submit the application. The infographic below includes the steps to apply for National University of Singapore MS admission:
Q: What are the admission requirements for Masters at NUS?
A:
Mentioned below are the NUS University requirements for master's admission:
A Bachelor’s (Honours) degree, a 4-year Bachelor ’s degree, or its equivalent in a relevant discipline
Applicants whose native language is not English must submit the proof of English language proficiency
Full-time applicants must submit a GMAT or GRE score, regardless of years of work experience
Minimum 2 years of post-bachelor’s full-time work experience (at the point of application)
Two referee reports to be submitted before the application deadlines
National University of Singapore
Students Ratings & Reviews
4.3/5
10 Verified Reviews
Student Views (Based on Reviews)
64% students never faced discrimination in this university
Vibe of Campus
Academically oriented
Multi-dimensional
Friendly
Easy going
Internships4.1
Part time work3.6
Post study jobs3.9
Quality of faculty5
Student Life4.7
Value for money4.4
Public transportation5
Safety5
Indian Food4.4
Permanent Immigration3.4
Siddharth K Nagaraj
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4.5
Life in Singapore as a Masters student in NUS.
Tips: The culture is very friendly. As for me, I came from India, and I've lived in the US for many years so I did not face any difficulty adjusting here. No cultural shift unless you are not from an Asian background. I did not avail any scholarships, as the options were limited for US citizens.
Likes (Public transportation): Public transportation is very affordable and available everywhere. It is easy to access. The campus is on the outskirts of the city, but there are a lot of ways to get there. It can take a well-connected MRT (subway), and many buses go there. Hailing a cab is also an option.
Dislikes (Permanent Immigration): Student visa does not extend further than 1 year post-study. Up to us to find a job. The chances I would have of permanent settlement are probably 60%, considering I find a job that pays enough to live comfortably. Job opportunities for foreigners are slightly less. If I had the chance, I would 100% permanently immigrate to this country.
Tips: I didn't have much of a cultural shift because I was brought up here before but I think the other students, the English slang that Singapore uses, might be slightly overwhelming. Scholarship wasn't available for my intake, but for the upcoming intake, I heard that there are some scholarships.
Likes (Quality of faculty): NUS faculty are very experienced and well-known in the research field. They have amazing knowledge and the way they bring it forward to the students is inspiring. They are very approachable and they introduce us to many conferences and competitions to build our own interests and discover ourselves.
Dislikes (Post study jobs): Post study jobs are pretty difficult to find, being an international student as the salary is pretty high for a sponsored visa, which is way above the fresher salary in general in Singapore. There are 3 different types of passes, the unskilled worker pass is the least, followed by the skilled worker pass, and then the professional employment pass. Usually, Master's students are allowed only for the EP.
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3.9
Challenging yet enjoyable.
Tips: Be prepared for classes to be in the evening. Keep in mind, you are allowed to take 2 electives in the whole year. So what I did was take one elective in the first sem and another in the second sem. You can choose a course from ISD, Project Management or M.Arch as your electives, but when you register for your courses, make sure the electives you choose don't clash in timing and day with your BPS courses. Some of my classmates did that and ended up having to switch electives 2 weeks into the semester. No big cultural shift except that people adhere to and expect adherence to rules. So if the escalator says "Stand on left, walk on right", then please respect that and either stand on the left side or walk on the right. Similarly, all other rules should also be followed, like no eating in the metro and only flag down public buses when you want to board them, etc. For Masters, there are little to no scholarships available in NUS. Of course, it does differ department to department, but in Architecture & Engineering, it's almost non existent for foreigners. Singapore can be expensive but as students, you end up figuring out where the good deals are and how to have fun even on a budget. I'd advise checking the NUS part time jobs page when you join, it has many openings for part time jobs where you can earn some money on the side. I did part-time shifts at the Central Library in NUS, could easily earn 10 to 12 SGD an hour. If you find part-time jobs off campus, then that's also handy, just try to keep it on a schedule you can manage with your classes and assignments.
Likes (Safety): Singapore in itself is a very safe city. I was out on a walk at 4 am and didn't have to think twice about using earphones and walking. As a woman, it is a very safe city. The police take patrols at night, not like a military facility type of way, just normally. And people in general have a basic civic sense of respecting private space.
Dislikes (Indian Food): Singapore has Singaporean Indians, which makes the food a mix of South Indian and Singaporean food. Some food is similar and easy to eat, like sambar and dosa, and some I wasn't able to eat due to the difference in taste, like a few types of daal. Vegetarian people have even less options in indian food because if you're nitpicky, you'll end up going back to basic food like price and sambar. I would suggest trying Mala hotpot, you get to pick out the quantity and type of ingredients you want, so vegetarians can just pick out veggies, and you get to have that cooked in a sauce of your spicy level choosing with either noodles or price. Lots of people enjoyed that. Keep in mind that NUS has one food court for each different studying school, like Medicine, Architecture & Engineering, etc. So each food court has at least one Indian food stall that has the food I'm talking about. The other stalls all have different food like western food options, chicken & rice (Singapore style), Chinese food, etc. Those are really good to eat if you like exploring other options.
An academic journey through the best life experiences.
Tips: Singapore has a very diverse culture and population, so you never feel you're away from home. Scholarships are available. Life on campus is fun, everyone is friendly, and the campus is beautiful.
Likes (Quality of faculty): The professors have a very good understanding of the course material and make the classes engaging through presentations and case studies. Applying knowledge in real-time helps in a better understanding of the course content, and the professors have their own unique teaching styles and interactive methods.
Dislikes (Post study jobs): Many companies are hesitant to sponsor work visas. While a variety of job roles are available, finding one that matches your requirements and secures visa sponsorship can be challenging. However, being in SG, a major trade hub, does make it easier to find employment opportunities.
Tips: As a student from India, it was a very different experience to study in a culturally diverse university. The way academics are programmed is quite different, but not hard to transition into. I am very satisfied with my university, the freedom of my course and Singapore is one of the best countries to study in.
Likes (Student Life): Curriculum allows for a good balance between school and personal life. The infrastructure promotes your growth. NUS does a lot of events to keep students mentally, intellectually stimulated. There are committees and clubs for every interest, making things very inclusive and fun.
Dislikes (Permanent Immigration): Securing a job is challenging, as obtaining an employment pass or work visa necessitates sponsorship. With Singapore moving towards greater independence, securing sponsorship is becoming increasingly difficult. Consequently, without industry contacts, it can be hard to get noticed.
Master of Science in Data Science and Machine Learning
at
NUS Singapore
Highlights
Master of Science in Data Science and Machine Learning is offered by National University of SingaporeNational University of Singapore.
This a 15 level program of a course duration of 2 Years.
Download the brochure to read more details of this course.
Master of Science in Data Science and Machine Learning
at
NUS Singapore
Scholarships
Scholarship information is not available. You can apply to non-college specific scholarships available for
Singapore.
Anushree is a Graduate in Bachelor's degree in Journalism and Mass Communication and takes keen interest in content creation. She has affinity for writing and travelling around the world takes the top spot on her bucket list. Bringing out the creativ...Read Full Bio
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1st year tuition fees 
Calculated at the exchange rate of 1 SGD = INR 69.17 | Tuition & expenses were last updated on 29ᵗʰ August 2025
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