Master of Science [MSC] (Data Science and Machine Learning)
Field of Study:
$37,409 /Yr
National University of Singapore Master of Science Data Science and Machine Learning is a 1-2 year interdisciplinary graduate programme combining computer science, mathematics, statistics, machine learning, and artificial intelligence. NUS ranks 3rd globally in Data Science and AI (QS 2026), 1st in Asia, and 8th overall globally (QS 2026). The program is offered full-time (1-2 years) or part-time (2-4 years) with flexible candidature options. International students pay SGD 47,088 annually (approximately 34.1 Lakhs INR) for tuition, with total program cost ranging from SGD 47,088 to SGD 94,176 (approximately 34.1 - 68.3 Lakhs INR) depending on program duration.
For international students, the total cost of study including tuition, living expenses, and miscellaneous fees ranges from SGD 65,000 to SGD 130,000 (approximately 47.1 - 94.3 Lakhs INR) over the program duration. Graduates secure employment within 6 months with median starting salaries of SGD 5,700 - 6,400 monthly (approximately 4.1 - 4.6 Lakhs INR). The program emphasizes practical applications through industry consulting projects (DSA5201) and research opportunities, preparing graduates for leadership roles in data science and AI sectors.
Current Admission Status:
- August 2026 Intake Application: CLOSED (Regular Admission ended January 31, 2026)
- Application Outcome: By June 30, 2026
- Next Application Period: May 16 - July 15, 2026 (Early Admission for August 2027 intake)
- Regular Admission: October 1, 2026 - January 31, 2027 (for August 2027 intake)
- Application Portal: NUS Graduate Admission System (gradapp.nus.edu.sg)
- Why Study Data Science and Machine Learning at NUS
- National University of Singapore MSc Data Science and Machine Learning Fees 2026
- Cost of Living in Singapore for International Students
- Accommodation Options for International Students
- Admission Requirements & Process
- English Language Proficiency Requirements for NUS Data Science Program
- National University of Singapore Data Science and Machine Learning Rankings 2026
- Scholarships for International Students at NUS Data Science Program
- Career Outcomes & Employment for Data Science Graduates
- Return on Investment for NUS MSc Data Science and Machine Learning (International Students)
- Frequently Asked Questions
Why Study Data Science and Machine Learning at NUS
- 3rd Ranked Globally in Data Science & AI: Ranked 3rd globally (QS 2026) and 1st in Asia, reflecting world-class faculty expertise, cutting-edge research, and industry partnerships in machine learning and artificial intelligence.
- Interdisciplinary Curriculum: Combines computer science, mathematics, statistics, and specialized areas like machine learning and AI; students develop comprehensive skills in data analysis, algorithm design, and practical applications.
- Industry-Focused Learning: Mandatory DSA5201 Industry Consulting and Applications Project connects students with real-world data science challenges; students work on actual industry problems, building practical experience and professional networks.
- Strong Graduate Outcomes: 65%+ employment rate within 6 months; median starting salary SGD 5,700 - 6,400 monthly (approximately 4.1 - 4.6 Lakhs INR); graduates work in tech, finance, healthcare, and government sectors.
- Flexible Study Options: Full-time (1-2 years) or part-time (2-4 years) candidature; students can balance work and studies or accelerate completion based on individual circumstances.
- Global Recognition: NUS degree recognized internationally; graduates pursue careers in Singapore, US, UK, Australia, and other countries; strong alumni network across tech companies and research institutions.
National University of Singapore MSc Data Science and Machine Learning Fees 2026
International students at NUS pay standardized tuition fees for the MSc Data Science and Machine Learning program. Fees are payable in installments over 2 semesters for full-time studies and 4 semesters for part-time studies.
All INR conversions based on exchange rate of SGD 1 = INR 72.50 as of April 8, 2026. Exchange rates are subject to change.
| Fee Component | Amount (SGD) | Amount (INR) | Notes |
|---|---|---|---|
| Tuition Fee (Full-Time, 1-2 years) | 47,088 | 34.1 Lakhs | Per annum; payable in 2 installments |
| Tuition Fee (Part-Time, 2-4 years) | 47,088 | 34.1 Lakhs | Per annum; payable in 4 installments |
| Application Fee | 100 | 7,250 INR | Non-refundable, payable at application |
| Offer Acceptance Fee | Included in tuition | Included | Non-refundable, payable upon offer acceptance |
| Miscellaneous Student Fees | ~500 - 800 | ~3.6 - 5.8 Lakhs | Per semester; compulsory |
| Total Annual Cost (Tuition + Misc) | ~47,600 - 47,900 | ~34.5 - 34.7 Lakhs | Full-time students |
Additional First-Year Costs:
| Item | Amount (SGD) | Amount (INR) |
|---|---|---|
| Books and Course Materials | 1,000 - 1,500 | 72,500 - 1.09 Lakhs |
| Laptop (one-time) | 1,500 - 2,500 | 1.09 - 1.81 Lakhs |
| Total First-Year Additional Costs | 2,500 - 4,000 | 1.81 - 2.90 Lakhs |
Key Fee Insights:
- Payment Schedule: Tuition fees payable in installments; full-time students pay over 2 semesters, part-time over 4 semesters; payment due before start of each semester.
- Miscellaneous Fees: Compulsory student fees (approximately SGD 500-800 per semester) cover university services, student activities, and facilities; payable every semester.
- No Hidden Costs: Tuition and miscellaneous fees are all-inclusive; no additional program-specific charges beyond standard university fees.
- Total Program Cost: Full-time (1 year): SGD 47,600 - 47,900 (approximately 34.5 - 34.7 Lakhs INR); Full-time (2 years): SGD 95,200 - 95,800 (approximately 69 - 69.4 Lakhs INR).
- Financial Statement Requirement: International students must demonstrate sufficient funds to cover tuition, miscellaneous fees, and living expenses for entire candidature (typically SGD 65,000 - 130,000 total).
Cost of Living in Singapore for International Students
Singapore is a developed city-state with modern infrastructure and high living standards. Living costs for international students are moderate compared to other developed countries, though higher than many Asian cities.
Estimated Monthly Living Expenses (Single Student):
| Expense Category | Amount (SGD) | Amount (INR) |
|---|---|---|
| Housing (HDB room or campus hall) | 500 - 1,500 | 3.6 - 1.09 Lakhs |
| Food & Groceries (hawker centres) | 300 - 600 | 2.2 - 4.4 Lakhs |
| Public Transportation (MRT Pass) | 100 - 150 | 7,250 - 10,875 INR |
| Phone & Internet | 30 - 50 | 2,175 - 3,625 INR |
| Personal Expenses & Clothing | 200 - 300 | 1.45 - 2.2 Lakhs |
| Entertainment & Social | 150 - 300 | 1.09 - 2.2 Lakhs |
| Total Monthly (Minimum) | 1,280 | 92,800 INR |
| Total Monthly (Comfortable) | 2,500 | 1.81 Lakhs |
| Total Annual (Minimum) | 15,360 | 11.1 Lakhs |
| Total Annual (Comfortable) | 30,000 | 21.8 Lakhs |
Note: Singapore offers excellent value for food through hawker centres (meals SGD 3-8); housing is the largest expense. Costs vary by accommodation type and lifestyle choices.
Accommodation Options for International Students
Singapore offers diverse housing options for international students. On-campus housing is limited but highly sought after; most students opt for private rentals or shared apartments.
On-Campus Housing Options
| Residence Type | Monthly Cost (SGD) | Annual Cost (SGD) | Features |
|---|---|---|---|
| NUS Campus Hall (Limited) | 500 - 800 | 6,000 - 9,600 | On-campus, community-focused, limited availability |
| NUS Residential College | 600 - 1,000 | 7,200 - 12,000 | Residential college experience, on-campus |
Off-Campus Housing Options
| Housing Type | Monthly Cost (SGD) | Annual Cost (SGD) | Location Notes |
|---|---|---|---|
| HDB Room (Shared) | 500 - 800 | 6,000 - 9,600 | Public housing, affordable, various locations |
| Private Apartment (1-Bedroom) | 1,200 - 1,800 | 14,400 - 21,600 | Private rental, more space, various neighborhoods |
| Condo/Private Housing | 1,500 - 2,500 | 18,000 - 30,000 | Premium housing, facilities, central locations |
| Student Housing Companies | 800 - 1,500 | 9,600 - 18,000 | Purpose-built, furnished, utilities included |
Housing Notes:
- On-campus housing is highly competitive; most graduate students live off-campus.
- HDB (public housing) rooms are affordable and popular with students; typically shared with 1-2 roommates.
- Private apartments offer more independence; prices vary by location and proximity to NUS.
- Popular areas for students: Clementi (near NUS), Bukit Timah, Tiong Bahru, Tanjong Pagar.
- Housing search platforms: PropertyGuru, Carousell, Facebook Housing Groups, HDB resale market.
Part-Time Work Opportunities for International Students
International students on valid student passes can work up to 16 hours per week during semester and full-time during scheduled breaks. Singapore's minimum wage is not legislated; typical entry-level wages start at SGD 1,500 - 2,000 monthly.
Common Part-Time Jobs for Data Science Students (Hourly Rates in SGD):
- Data Analysis Intern: SGD 15 - 25/hour (part-time, relevant experience)
- Tutoring/Academic Support: SGD 20 - 40/hour (especially for mathematics, statistics, programming)
- Research Assistant (Faculty/Lab): SGD 15 - 25/hour (on-campus, flexible scheduling)
- Retail/Customer Service: SGD 10 - 15/hour (entry-level, flexible)
- Teaching Assistant (Computing/Math): SGD 15 - 20/hour (available after first semester)
Part-Time Work Insights:
- Most graduate students limit part-time work to 10-15 hours/week due to intensive coursework.
- Part-time work during studies typically generates SGD 600 - 1,200 monthly (approximately 4.4 - 8.7 Lakhs INR) at 10-15 hours/week.
- Data analysis and research assistant roles provide valuable experience and career networking.
- Many students work during semester breaks (4-8 weeks) earning SGD 2,000 - 4,000 (approximately 1.45 - 2.90 Lakhs INR).
- Singapore's strong tech sector offers abundant internship and part-time opportunities for data science students.
Admission Requirements & Process
National University of Singapore MSc Data Science and Machine Learning admits students through the NUS Graduate Admission System. Admission is highly competitive; selection is based on academic credentials, professional experience, and demonstrated interest in data science.
Application Deadlines & Intake Dates (2026-2027)
| Milestone | Date | Notes |
|---|---|---|
| Early Admission Opens | May 16, 2026 | For August 2027 intake |
| Early Admission Closes | July 15, 2026 | Application outcome by September 30, 2026 |
| Regular Admission Opens | October 1, 2026 | For August 2027 intake |
| Regular Admission Closes | January 31, 2027 | Application outcome by June 30, 2027 |
| Program Start | August 2027 | Fall semester begins |
| Application Fee | SGD 100 | Non-refundable, payable at application |
Note: International students should apply during early admission cycle (May-July) for maximum consideration and earlier decision notification.
Eligibility Criteria
Academic Requirements:
- Bachelor's (Honours) degree or 4-year Bachelor's degree in quantitative science (Mathematics, Statistics, Physics), Engineering, or Computing Science.
- Indian equivalent: Bachelor's degree in relevant field with minimum 60-65% average or CGPA 6.5/10 or higher.
- Strong academic performance in mathematics, statistics, and programming courses preferred.
English Language Proficiency (Mandatory for non-English medium universities):
- IELTS (Academic): Minimum 6.0 overall.
- TOEFL iBT: Minimum 85 overall (or 4.5 for exams taken on/after January 21, 2026).
- Exemption: Completed undergraduate degree in English-medium institution.
Work Experience:
- Not mandatory but preferred; average admitted students have 2-5 years professional experience.
- Demonstrated interest in data science, machine learning, or AI through projects or work experience.
Standardized Test Scores:
- GRE/GMAT: Not required for admission; optional for scholarship consideration.
- Selection is competitive; strong academic credentials and relevant experience essential.
Admission Process
- Step 1: Create account on NUS Graduate Admission System (gradapp.nus.edu.sg).
- Step 2: Search for "Master of Science in Data Science and Machine Learning" programme; select full-time or part-time option.
- Step 3: Complete online application and upload required supporting documents (transcripts, degree scroll, TOEFL/IELTS, CV, financial statement).
- Step 4: Pay non-refundable application fee of SGD 100.
- Step 5: Application reviewed; shortlisted candidates may be invited for interview (optional).
- Step 6: Admission decision released via email; accepted students pay offer acceptance fee and confirm enrollment.
English Language Proficiency Requirements for NUS Data Science Program
National University of Singapore requires proof of English proficiency for all applicants whose undergraduate degree was not from a recognized English-medium university. This ensures students can succeed in an English-taught program and Singapore's professional environment.
Accepted English Proficiency Tests:
- IELTS (Academic): Minimum 6.0 overall (no specific band requirements).
- TOEFL iBT: Minimum 85 overall (for exams before January 21, 2026) or 4.5 (for exams on/after January 21, 2026).
- TOEFL Paper Edition: Minimum 550.
- C1 Advanced: Minimum 180.
Waivers Available:
- Completed undergraduate degree in English-medium institution (medium of instruction and examinations in English).
- Completed International Baccalaureate (IB) or A-Levels in English.
- Singapore citizens or permanent residents.
Timeline:
- Test results must be submitted before application deadline.
- TOEFL/IELTS scores must be valid for 2 years from test date; expired scores not accepted.
- Exam preparation typically requires 6-8 weeks; plan accordingly before application deadlines.
- For TOEFL, use NUS Institutional Code: 9087.
Key Insight:
- IELTS is more commonly taken by Indian students; TOEFL is also widely accepted.
- No exemptions available for Indian students unless undergraduate degree was from English-medium institution (most Indian universities qualify).
- Test results valid for 24 months from test date.
National University of Singapore Data Science and Machine Learning Rankings 2026
NUS Data Science and Machine Learning program is consistently ranked among the top globally. The university's overall strength in data science, AI, and computing is reflected in multiple ranking systems.
| Ranking Organization | Global Rank | Asia Rank | Year |
|---|---|---|---|
| QS Data Science & AI | 3 | 1 | 2026 |
| QS Computer Science | 4 | 1 | 2026 |
| QS Overall University | 8 | 1 | 2026 |
| Times Higher Education (Overall) | 17 | 3 | 2026 |
Ranking Notes:
- NUS ranks 3rd globally in Data Science & AI (QS 2026), reflecting world-class faculty, research output, and industry partnerships.
- NUS ranks 1st in Asia across multiple subject areas including data science, AI, and computing.
- University of Singapore overall ranks 8th globally (QS 2026) and 17th (THE 2026), strengthening program credibility.
- Rankings based on academic reputation, employer reputation, faculty-to-student ratio, international diversity, and research citations.
Scholarships for International Students at NUS Data Science Program
National University of Singapore offers limited scholarships for international students in the MSc Data Science and Machine Learning program. Most funding is merit-based or region-specific.
| Scholarship Name | Amount (SGD) | Eligibility | Application Deadline |
|---|---|---|---|
| FoS ASEAN Master's Study Award | Partial tuition waiver | ASEAN citizens (excluding Singapore), academic excellence | Automatic consideration upon admission |
| NUS ASEAN Master's Scholarship | Full tuition fees | ASEAN citizens, DiscoverNUS alumni, partner university graduates | Automatic consideration upon admission |
| NUS GRTII Master's Scholarship | SGD 45,000 | Guangzhou residents, service bond required | Separate application required |
| Data Science Scholarship | SGD 3,100/month | International students, merit-based | Automatic consideration upon admission |
| SG Digital Scholarship (Postgraduate) | Varies | Singapore citizens only (not available to international students) | N/A |
Key Scholarship Insights:
- ASEAN Scholarships: Available to citizens of ASEAN member countries (excluding Singapore); automatic consideration upon admission; partial or full tuition waiver depending on scholarship type.
- Limited International Funding: Most scholarships prioritize ASEAN students or Singapore citizens; international students from other regions have limited scholarship options.
- Merit-Based Consideration: Automatic consideration upon admission; no separate application required for most scholarships; academic excellence and leadership potential key criteria.
- External Funding: International students can explore country-specific scholarships through government agencies, NGOs, and private lenders (e.g., MPower Financing, Prodigy Finance).
- Loan Options: International students can apply for education loans from Singapore banks (DBS, OCBC, UOB) with co-signer or collateral; some international lenders also offer loans for NUS studies.
Career Outcomes & Employment for Data Science Graduates
National University of Singapore MSc Data Science and Machine Learning graduates secure employment quickly with strong salary outcomes. The program's industry focus and Singapore's thriving tech sector provide excellent career opportunities.
Employment Statistics:
- Employment rate (within 6 months): 65%+
- Median starting salary: SGD 5,700 - 6,400 monthly (approximately 4.1 - 4.6 Lakhs INR)
- Average annual salary (entry-level): SGD 68,400 - 76,800 (approximately 49.6 - 55.7 Lakhs INR)
- Salary with 3+ years experience: SGD 90,000 - 150,000+ annually (approximately 65.3 - 1.09 Crores INR)
Common Career Paths for NUS Data Science Graduates:
| Career Path | Typical Roles | Employer Types |
|---|---|---|
| Tech & Software | Data Scientist, Machine Learning Engineer, AI Researcher | Tech Companies, Startups, Cloud Providers |
| Finance & Banking | Quantitative Analyst, Risk Analyst, Data Scientist | Banks, Investment Firms, Insurance Companies |
| Consulting | Management Consultant, Data Consultant, Business Analyst | Consulting Firms, Corporations |
| Government & Public Sector | Data Scientist, Policy Analyst, Research Analyst | Government Agencies, Statutory Boards |
| Healthcare & Biotech | Data Scientist, Bioinformatician, Research Analyst | Hospitals, Biotech Companies, Research Institutes |
| E-Commerce & Retail | Data Scientist, Analytics Engineer, Product Analyst | E-Commerce Platforms, Retail Companies |
Graduate Studies Pathways:
- PhD in Computer Science, Statistics, or Data Science (3-5 years)
- MBA (1-2 years, for career transition)
- Specialized Master's in AI, Cybersecurity, or related fields
Return on Investment for NUS MSc Data Science and Machine Learning (International Students)
For international students, the Data Science and Machine Learning degree represents a moderate financial investment with strong long-term career returns. The program's reputation and graduate employment outcomes provide solid ROI.
ROI Context:
- Total program cost (1 year full-time): SGD 50,000 - 55,000 (approximately 36.3 - 39.9 Lakhs INR) including tuition, fees, books, and living expenses.
- Total program cost (2 years full-time): SGD 100,000 - 110,000 (approximately 72.5 - 79.8 Lakhs INR).
- Entry-level salary (post-graduation): SGD 5,700 - 6,400 monthly (approximately 4.1 - 4.6 Lakhs INR).
- Average annual salary (entry-level): SGD 68,400 - 76,800 (approximately 49.6 - 55.7 Lakhs INR).
- Salary with 3+ years experience: SGD 90,000 - 150,000+ annually (approximately 65.3 - 1.09 Crores INR).
| Financial Metric | Amount (SGD) | Amount (INR) |
|---|---|---|
| Total Program Cost (1 year) | 52,500 | 38.1 Lakhs |
| Total Program Cost (2 years) | 105,000 | 76.1 Lakhs |
| Entry-Level Annual Salary | 72,000 | 52.2 Lakhs |
| Salary with 3 Years Experience | 120,000 | 87 Lakhs |
| Annual Salary Increase (3 years) | 48,000 | 34.8 Lakhs |
| Break-Even Period (Years) | 0.7 - 1.5 | 0.7 - 1.5 |
| 5-Year Total Earnings (Post-Grad) | 360,000 | 2.61 Crores |
| 5-Year ROI | 285% - 580% | 285% - 580% |
Key ROI Insights:
- Break-Even in Less Than 2 Years: Entry-level salary alone covers entire program cost within 1-2 years, after which all additional earnings represent pure return on investment.
- Strong Salary Growth: Data science graduates see 8-15% annual salary growth with experience and specialization, leading to strong lifetime earnings.
- International Career Mobility: NUS degree recognized globally; graduates pursue careers in Singapore, US, UK, Australia, and other countries, potentially increasing earning potential.
- Tech Sector Demand: Strong global demand for data scientists and machine learning engineers; NUS graduates command competitive salaries across multiple markets.
- Long-Term Wealth Building: Over 20-year career, data science graduates earn SGD 1.5 - 3 million+ (approximately 1.09 - 2.18 Crores INR), representing exceptional lifetime ROI.
National University of Singapore Master of Science Data Science and Machine Learning offers international students a world-class education combining rigorous academic training, practical industry experience, and cutting-edge research opportunities. Ranked 3rd globally in Data Science & AI (QS 2026) and 1st in Asia, the program provides strong foundation for careers in tech, finance, consulting, and government sectors. While the total cost of study (approximately 36.3 - 76.1 Lakhs INR) is moderate, the program's reputation, graduate employment outcomes (65%+ within 6 months), and strong salary progression (SGD 5,700 - 6,400 monthly entry-level) provide exceptional ROI. For international students committed to data science and seeking advanced education in a top-ranked institution with global recognition, NUS DSML represents a strategic investment with lasting career benefits.
Frequently Asked Questions
Ques: What is the difference between NUS MSc Data Science and Machine Learning and other data science programs?
Ans: NUS MSc Data Science and Machine Learning is ranked 3rd globally in Data Science & AI (QS 2026) and emphasizes interdisciplinary learning combining computer science, mathematics, statistics, and specialized machine learning/AI courses. The program includes mandatory DSA5201 Industry Consulting and Applications Project, connecting students with real-world industry challenges. Unlike some programs focused purely on statistics or computer science, NUS DSML provides balanced training across all data science domains. The program offers flexible candidature (1-2 years full-time or 2-4 years part-time), allowing students to customize their study pace. Graduates secure employment within 6 months with median starting salary SGD 5,700 - 6,400 monthly (approximately 4.1 - 4.6 Lakhs INR).
Ques: Are there scholarships available for international students in the NUS Data Science program?
Ans: Limited scholarships are available for international students. ASEAN citizens (excluding Singapore) are eligible for FoS ASEAN Master's Study Award (partial tuition waiver) or NUS ASEAN Master's Scholarship (full tuition fees) with automatic consideration upon admission. International students from other regions have limited scholarship options; most funding prioritizes ASEAN students or Singapore citizens. However, international students can explore country-specific scholarships through government agencies, NGOs, and private lenders (MPower Financing, Prodigy Finance). Education loans from Singapore banks (DBS, OCBC, UOB) are also available with co-signer or collateral. Merit-based consideration is automatic upon admission; no separate scholarship application required for most awards.
Ques: What are the career prospects and salary expectations for NUS Data Science graduates?
Ans: NUS Data Science graduates have excellent career prospects with 65%+ employment rate within 6 months. Median starting salary is SGD 5,700 - 6,400 monthly (approximately 4.1 - 4.6 Lakhs INR), or approximately SGD 68,400 - 76,800 annually (approximately 49.6 - 55.7 Lakhs INR). With 3+ years experience, salaries reach SGD 90,000 - 150,000+ annually (approximately 65.3 - 1.09 Crores INR). Graduates work in tech companies, finance, consulting, government, healthcare, and e-commerce sectors. NUS degree is recognized globally; graduates pursue careers in Singapore, US, UK, Australia, and other countries. Strong demand for data scientists and machine learning engineers ensures competitive salaries and career growth opportunities. Over 20-year career, graduates earn SGD 1.5 - 3 million+ (approximately 1.09 - 2.18 Crores INR).
Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | $37409 (SGD 47960) |
Other Expenses
| Head | Avg Cost Per Year |
|---|---|
| Accomodation | $4212 (SGD 5400) |
| Food | $2028 (SGD 2600) |
Previous Year Tuition Fees
| Year | 1st Year Fees |
|---|---|
| 2024 | $43360 (SGD 55590) |
| 2023 | $31824 (SGD 40800) |
| 2021 | $31980 (SGD 41000) |
Important Dates
Early Admission cycle for the August 2026 intake is now closed.
| Event | Application Date |
|---|---|
| Regular Admission Application for August 2026 Intake | |
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TOP Scholarships
| Scholarship name | Award amount | Eligibility |
|---|---|---|
| NUS GRTII Master’s Scholarship | S$45,000 | Scholarship recipients are required to sign a Service Bond Agreement, with an obligation to work for at least two years in the Huangpu District of Guangzhou after graduation. |
Key Resources for Your Study Abroad Journey
Programs Comparison
| ranking | # 4 for Computer Science by QS World University 2026 # 7 for Computer Science by Collegedunia.com 2026 # 11 for Computer Science by Times Higher Education 2025 | # 33 for Data Science and Analytics by QS World University 2025 |
| application | - | - |
| exam scores | IELTS - 6/9TOEFL - 4.5/6 | IELTS - 6.5/9PTE - 64/90TOEFL - 79/120 |
| documents required | #Letter of Recommendation + Statement of Purpose | #Letter of Recommendation + Statement of Purpose |
| application dates | Jan 31, 2026 (Regular Admission Application for August 2026 Intake) | Sep 30, 2026 (March 2026 intake Application Deadline) |
| cost to study | Total Cost (Tuition + Living) -USD 52774.8 | - |
| - | Read Full Comparison |
College Student Profiles
Scholarship Grants & Financial Aids
| Name | Scholarship Per Student | Level of Study | Type | |
|---|---|---|---|---|
| VueVille Future Technology Scholarship | Scholarship per student$ 780/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
| Axol Science Scholarship | Scholarship per student$ 1,560/Yr$2,000 | Level Of StudyBachelor | TypeCompany-Sponsored | |
| Business Administration Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based |
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