EU Global

Explore EU Global

Tuition & Fees: On Campus Malta

On-Campus Fees: Malta Campus

ProgramTenureFee/Year (Non-EU)Tuition Cost (Non-EU)Fee after Tax Credit of 70%
All Bachelor Programmes3 Years€6,500€19,500€1,950 per year
All Masters Programmes1.5 Years€7,500€11,250€3,375 total
Doctor of Business Administration3 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 Applicable Fee

Other Fee ComponentsFees (€)
Application Fee Nil for 2025
Non-refundable fee for visa refusal (applicable for on-campus, not applicable for online)300
Recognition of Credit application Fee300 (advance) + €9 per ECTS
Recognition of prior learning/ experiential learningto be communicated case by case in advance before start of evaluation
Graduation Fee225
Library FeesNil
Technology FeesNil
Course Re-Entry (additional annual tuition fee applicable)250
Returned Checks35
Per Transfer Credit Accepted300
Official Transcript (first one is free for on-campus, but to be paid for courier fee for online)75
Degree Verification75
Late Payment Fee 0.5 % of the late payment per day
Withdrawal Processing Fee155

Scholarship For Students

For on-campus programmes, academic excellence scholarship is awarded, up to 30% for students scoring 70% and above grades in their last highest qualification. 

Application Deadlines:

Refer & Earn Scholarship Program

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:

  1. Eligibility:

    • Open to current and former EU Global students.

    • Referrals must be new applicants (not previously registered or contacted).

  2. 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.

  3. 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.

  4. 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.

University Payment Plans and Financial Assistance

Fee policies are updated every year, and will be communicated clearly in writing via offer letter and the enrolment letter and the Students Agreement.

Laptop Specification

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.

Recommended Laptop Specifications:

  • 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

Optional but Useful:

  • 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+

Optional:

  • Pre-installed Python and Jupyter Notebook environments

  • Compatibility with Docker, Git, and virtual environments

  • Good thermal management and cooling system