QS Rank:

11

National University Of Singapore

Singapore
,Singapore

Program Rank

8

Program Name
MSc in Data Science & Machine Learning

Deadline
January 31st, 2024
Overview

The MSc in Data Science & Machine Learning program offered by the National University of Singapore (NUS) is a prestigious master's degree designed to equip students with essential competencies in data science, machine learning, and advanced analytics. The program spans twelve months, and it is tailored for aspiring data professionals who seek to delve deep into the intricacies of data, unpacking the story behind numbers to drive informed decision-making. With an impressive QS World University Ranking of 11, NUS stands out as a leader in higher education, making it the ideal place for students looking to gain a world-class education in this dynamic field.
The curriculum is meticulously crafted to encompass fundamental and advanced topics in data science. Students can expect to engage in comprehensive coursework covering statistical methodologies, machine learning algorithms, data visualization techniques, and big data technologies. Core courses include Data Mining, Machine Learning, Statistical Inference, and Data Visualization, all of which provide a solid foundation. Elective courses allow students to tailor their education according to their career aspirations, with options in Artificial Intelligence, Natural Language Processing, and Deep Learning, among others.
Under the guidance of leading experts in the field, students will benefit from a teaching methodology that emphasizes hands-on learning and real-world applications. The faculty comprises accomplished professionals and researchers who are well-versed in both theoretical concepts and practical implementations. They foster a collaborative learning environment where students are encouraged to participate actively in discussions, projects, and research initiatives. This approach not only enhances students' understanding but also builds critical thinking and problem-solving skills that are essential in today's data-driven economy.
The program also boasts unparalleled research opportunities, providing students with access to state-of-the-art facilities and resources. NUS is known for its commitment to innovation and discovery, and students are encouraged to engage in research projects that align with their interests. Collaborative partnerships with industry leaders offer students a platform to work on real-world problems, which enhances their learning experience and prepares them for successful careers.
Industry connections are another hallmark of this program. NUS has established strong ties with many top organizations, enabling students to explore internship opportunities that bridge the gap between academic knowledge and industry requirements. This practical experience is invaluable as it not only enriches students' resumes but also significantly increases their employability upon graduation. The program's high job placement rate of 93% speaks volumes about the effectiveness of its career services and the demand for skilled data professionals.
After completing the MSc in Data Science & Machine Learning, graduates are well-prepared for a variety of career pathways. They can pursue roles such as Data Scientist, Machine Learning Engineer, Big Data Specialist, Data Analyst, and Business Analyst, among others. The median base salary for graduates is an impressive $170,000, reflecting the high demand for expertise in data science and analytics. Moreover, alumni of the program have gone on to achieve significant success in various sectors, contributing to groundbreaking projects and leading teams in renowned companies.
Why Study MSc in Data Science & Machine Learning at National University of Singapore?
- A world-class education at NUS, consistently ranked in the top tiers of global universities.
- Access to exceptional faculty members who are leaders in data science and related fields.
- Extensive research opportunities that encourage students to work on innovative projects.
- Strong industry partnerships providing valuable internship opportunities and networking possibilities.
- A vibrant international community that fosters diverse perspectives and collaborations.
In terms of prerequisites, prospective students are expected to have a relevant undergraduate degree, with a minimum GPA requirement that reflects their academic capabilities. English proficiency is mandatory, and applicants must provide standardized test scores such as TOEFL or IELTS, illustrating their command of the language. The application process involves submitting transcripts, standardized test scores, and a completed application form, along with a modest application fee.
Overall, the MSc in Data Science & Machine Learning from NUS is not just a degree; it is a gateway to a multitude of opportunities in the field of data science. The program's combination of rigorous academic training, practical experience, and robust industry connections ensures that graduates are well-equipped to thrive in a rapidly evolving landscape. Whether students aspire to become data leaders, innovators, or researchers, this program lays the foundation for a successful and rewarding career in one of today's most exciting fields.

Total Tuition Fees
$51,000

Duration
12 Months

Median Salary
$1,70,000
Ranking
#32
US World and News Report
#25
The World University Rankings
#11
QS World University Rankings

Intake
Spring ( Apr - June )

Intake
Fall ( Sept - Nov )
Class Profile

Average Age
22

Average Work Experience
2 Years
Diversity
China:
10%India:
5%Others:
3%Singapore:
75%Malaysia:
4%Indonesia:
3%Career Outcomes

Median Earnings After Graduation
$1,70,000 / year

Graduation Rate
70%

Job Placement
93%
Prospective Job Roles
Data Scientist
Data analyst
Big Data Analyst
Senior Finance Manager
Senior Program Manager
Big Data Specialist
Machine learning engineer
Marketing Analyst
Business Analyst
Systems Administrator
Database Administrator
Top recruiters









Eligibility Criteria
English Proficiency Tests
IELTS
6
PTE
62
TOEFL
85
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 50
Transcript
TOEFL
IELTS
Passport
Resume
Application Deadlines
Standard Deadline | |
---|---|
Summer | Jan 31, 2024 |
Fees and Funding

Tuition Fees
$51,000 / year

Overall Cost
$69,504 / year
Funding Options
Department Funding
Scholarships
NUS Overseas Scholarship
NUS Merit Scholarship
FAQs
- The candidature of the DSML is from 1 year to 2 years for full-time students. For part-time students, the minimum candidature is 1 year while the maximum candidature is 2 years. There are a handful of full-time students who complete the programme in 1 year, which means that they have to take 5 courses in each semester
- The programme may roll over unsuccessful applications from early admission for further review at regular admission
- TOEFL or IELTS test ascertains a candidate’s English language proficiency and is necessary if English is not your native tongue and/or the medium of university instruction is not completely in English.
- The MDSML programme does not provide scholarships to both local and international students.
- The amount of money in the bank account should be sufficient to cover the tuition fees, miscellaneous fees and living expenses for your entire candidature in Singapore. Please refer to the programme website at https://www.math.nus.edu.sg/cdsml/ms-dsml/dsml-prospective-students/ to find out more about the application, tuition and miscellaneous fees charges. As there are many variables such as the rental fees and food expenses in the living expenses category, we are unable to advise you on the specific amount that you should have (in your bank account).
- Students are expected to pay full tuition fee, payable in instalments over 2 regular semesters for full-time study and 4 regular semesters for part time study. SC/SPR students are also eligible to receive course subsidies for SkillsFuture Singapore funded modular courses.
- Regarding National University of Singapore world ranking, as per the THE (Times Higher Education) University Ranking 2023, the university was placed at the 19 position. In 2022, it was placed at the 21 position. Overall the university stands among the top universities globally.
Ready to elevate your study abroad journey?
Book a call with us now and take the first step towards your global future!