• Year 1: Taught modules covering core data science disciplines such as big data acquisition and management, predictive modeling using machine learning and statistical methods, model validation and evaluation, artificial intelligence, and database systems and security.

• Year 2: Engagement in a professional experience placement lasting between 9 to 12 months. This placement allows students to apply theoretical knowledge in real-world settings, gaining valuable industry insights and enhancing employability.

  • Placement Options:

    • Industry Placement: Opportunities in London's "Tech City" and financial districts, offering exposure to high-tech companies and financial institutions.

    • Enterprise Academy (EA) Placement: Involvement in York St John University's EA, focusing on entrepreneurship, leadership, technical, and research development.

  • Support: The London Student Opportunities team provides guidance and resources to assist students in securing placements.

  • Additional Opportunities: Engagement with the Venture Creation Lab (VCL) to gain experience in designing and developing a technology business.

Postgraduate Admission Requirements – Nepali Students

Eligibility:

• Must hold a 4-year bachelor’s degree from a recognized Nepali university.

• Gap between graduation and application is acceptable but must be justified.

CGPA / Percentage Requirements by University

• Far Western University: Minimum 2.5 CGPA | Waiver: 3.0 CGPA

• Kathmandu University: Minimum 55% or 2.3 CGPA | Waiver: 65% or 3.0 CGPA

• Lumbini Buddhist University: Minimum 2.7 CGPA | Waiver: 3.0 CGPA

• Mid-Western University: Minimum 2.5 CGPA | Waiver: 3.0 CGPA

• Pokhara University: Minimum 2.3 CGPA | Waiver: 3.0 CGPA

• Purbanchal University: Minimum 2.5 CGPA | Waiver: 3.0 CGPA

• Tribhuvan University: Minimum 45% | Waiver: 60%

English Language Requirements

• IELTS: 6.0 overall | Minimum 5.5 per band

• PTE Academic: 59 overall | Minimum 59 per section

• Duolingo: 105 overall | Minimum 95 per section (Reading minimum 100)

IELTS Waiver Eligibility:

• Students with a UK-affiliated degree

• Students with MOI (Medium of Instruction) exemption from a Nepalese degree

Upon completion, graduates will be able to:

• Develop and implement data-driven solutions using modern programming languages and frameworks.

• Apply principles of artificial intelligence and machine learning to solve complex problems.

• Design and evaluate data models with a focus on accuracy and efficiency.

• Implement security measures to protect data and systems.

• Analyze and interpret data to inform decision-making.

• Collaborate effectively in multidisciplinary teams and communicate technical information to non-technical stakeholders.

5% Early Payment Discount (EPD) for full fee payment before enrollment