Program Overview

MSc Financial Technology Programme

The MSc Financial Technology programme provides a global perspective on FinTech, considering how developments in technology and finance impact economies and markets around the world. There is an increased demand for professionals in the growing 'FinTech' sector, mainly to enhance and streamline the provision and utilisation of financial services on a global scale.

Programme Overview

This hands-on programme blends practice with theory to equip students with the skills, knowledge, and experience to pursue a career in FinTech. The programme aims to strike a balance between theoretical underpinnings and practical hands-on learning, enabling students to use software development to construct financial applications and solutions, acquiring expertise in programming languages frequently employed in finance and technology sectors.

Programme Modules

• Python, AI and Machine Learning for Financial Technology (30 Credits)
• Mathematics and Blockchain for Financial Technology (30 Credits)
• Financial Markets and Data Analytics for Financial Technology (30 Credits)
• Advanced Software Development for Financial Technology (15 Credits)
• Current Topics in Financial Technology (15 Credits)
• Financial Technology Project (60 Credits)

Programme Content

The programme covers core modules relating to Python AI and Machine Learning for Financial Technology, Financial Markets and Data Analytics. As part of an IoA-accredited programme, students gain access to professional development resources, certifications, networking opportunities, and a pathway to professional membership, enhancing their employability and industry readiness.

Accreditations

Middlesex University Dubai's MSc Financial Technology Programme is accredited by the prestigious Institute of Analytics (IoA), a globally recognised professional body for analytics and data professionals.

Entry Requirements

Applicants must have a good undergraduate degree (normally a 2:2 or above) with programming or data analysis in its curriculum. English language requirements include IELTS Academic (6.5 with 6.0 in each component), TOEFL Internet-based (72), Pearson PTE Academic (59), or Dubai Campus MDX Internal English Test (6.5 with 6.0 in each component).

Teaching

Classes are held at the Dubai Knowledge Park campus on weekdays from 6:30pm to 9:30pm. The programme involves a mix of lectures, seminars, and practical sessions, with occasional weekend or holiday sessions scheduled with prior notice.

Work While You Study

Evening classes are designed to fit around a busy lifestyle, making it possible to work during the day while pursuing studies. This flexible schedule allows students to gain valuable professional experience or manage personal commitments alongside academic goals.

Future Career and Employment

The MSc Financial Technology programme is designed to facilitate careers at the intersection of finance, computer science, and financial mathematics. Graduates will be equipped to enter the expanding FinTech sector, with potential career paths including Data Analyst, Blockchain Developer, AI and Machine Learning Engineer, Cryptocurrency Analyst, and Payment Systems Architect.

Faculty

The programme is taught by a world-class faculty with a wealth of industry experience, including:

• Professor Fehmida Hussain
• Dr Krishnadas Nanath
• Dr Sameer Kishore
• Dr Maha Saadeh
• Dr Engie Bashir
• Jaspreet Singh Sethi
• Santhosh Menon
• Dr Judhi Prasetyo
• Madhumita Das
• Dr Pallavi Kishore
• Rashita Puthiya
• Dr Athanasia Kalaitzi
• Dr Vijaya Kumar
• Mariam Aslam

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