Program | Tenure | Fee/Year (Non-EU) | Tuition Cost (Non-EU) | Fee after Tax Credit of 70% |
---|---|---|---|---|
All Bachelor Programmes | 3 Years | €6,500 | €19,500 | €1,950 per year |
All Masters Programmes | 1.5 Years | €7,500 | €11,250 | €3,375 total |
Doctor of Business Administration | 3 Years | €12,000 | €36,000 | €3,600 per year |
Students from EU and EEA countries, requiring no visa support can claim Euro 2,000 reduction in the tuition fees.
Other Fee Components | Fees (€) |
---|---|
Application Fee | Nil for 2025 |
Non-refundable fee for visa refusal (applicable for on-campus, not applicable for online) | 300 |
Recognition of Credit application Fee | 300 (advance) + €9 per ECTS |
Recognition of prior learning/ experiential learning | to be communicated case by case in advance before start of evaluation |
Graduation Fee | 225 |
Library Fees | Nil |
Technology Fees | Nil |
Course Re-Entry (additional annual tuition fee applicable) | 250 |
Returned Checks | 35 |
Per Transfer Credit Accepted | 300 |
Official Transcript (first one is free for on-campus, but to be paid for courier fee for online) | 75 |
Degree Verification | 75 |
Late Payment Fee | 0.5 % of the late payment per day |
Withdrawal Processing Fee | 155 |
For on-campus programmes, academic excellence scholarship is awarded, up to 30% for students scoring 70% and above grades in their last highest qualification.
Students can earn scholarship credits by referring friends or peers to EU Global. When the referred student successfully enrolls, the referrer receives a scholarship reward that can be used toward tuition, course materials, or career development services.
Refer & Earn Scholarship Policy:
Eligibility:
Open to current and former EU Global students.
Referrals must be new applicants (not previously registered or contacted).
Reward Structure:
A scholarship credit of €300 will be awarded for each successful referral.
“Successful referral” means the referred student completes enrolment and pays the first instalment.
Usage of Scholarship:
Scholarship credits can be applied to tuition fees, additional certifications, or designated EU Global services or receive in cash.
Services are non-transferable.
Referral Process:
Referrals must be submitted via email at admissions@euglobal.edu.eu, with complete student detail and new student introduction.
Referred student must mention the referrer’s full name at the time of application.
Fee policies are updated every year, and will be communicated clearly in writing via offer letter and the enrolment letter and the Students Agreement.
For university students enrolled in management programmes who mainly use browser-based platforms (e.g., Google Workspace, online learning portals, MS Office 365 online, etc.), a high-end laptop is not necessary. However, it should still be reliable, portable, and capable of multitasking smoothly.
Processor: Intel Core i3 (11th Gen or later) / AMD Ryzen 3 (4000 series or later) / Apple M1 or later
RAM: 8 GB minimum
Storage: 256 GB SSD (Solid State Drive) for faster boot and app loading times
Display: 13”–15.6” Full HD (1920×1080) screen
Battery Life: At least 8 hours for all-day use
Operating System: Windows 11 / macOS / ChromeOS (for Chromebooks)
Build: Lightweight and durable (under 1.6 kg is ideal for portability)
Wi-Fi: Wi-Fi 5 or 6 supported
Webcam & Mic: HD webcam with built-in microphone for virtual classes
Backlit keyboard
USB-C port for fast charging and connectivity
Bluetooth 5.0+
For MS Data Science students, the laptop requirements are significantly higher than for management students. Data science involves programming, data visualization, machine learning, and working with large datasets, so the laptop must be powerful, with strong processing and memory capabilities.
Processor:
Minimum: Intel Core i5 (12th Gen or later) / AMD Ryzen 5 (5000 series or later)
Recommended: Intel Core i7 / AMD Ryzen 7 / Apple M1 Pro or M2/M3
RAM:
Minimum: 16 GB
Storage:
Minimum: 512 GB SSD
Recommended: 1 TB SSD if working with large datasets or virtual environments
Graphics (GPU):
Integrated GPU is acceptable for basic work
Dedicated GPU (e.g., NVIDIA GTX/RTX series) recommended for deep learning or GPU-accelerated computation (e.g., CUDA support for TensorFlow or PyTorch)
Display:
15.6” Full HD (1920×1080) minimum
Higher resolution (e.g., 4K) optional for data visualization work
Battery Life:
6–10 hours (though performance laptops tend to have shorter battery life)
Operating System:
Windows 11 / macOS (if comfortable with UNIX-based systems) / Linux (or dual-boot option)
Ports & Connectivity:
USB-C, HDMI, and multiple USB ports
Wi-Fi 6 and Bluetooth 5.0+
Pre-installed Python and Jupyter Notebook environments
Compatibility with Docker, Git, and virtual environments
Good thermal management and cooling system
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