MSc Financial Computing

The MSc Financial Computing at XJTLU trains students for advanced technical and managerial roles at the intersection of computer science and finance. The 18-month, English-taught program combines computing (programming, databases, machine learning) with finance modules, supported by the on-campus Financial Lab and Trading Floor and the Research Institute of Big Data Analytics. Graduates earn a University of Liverpool degree recognised by China's Ministry of Education.

The MSc Financial Computing program addresses the growing demand for tech-savvy talent in financial services. It combines computer science and finance to train students for advanced technical or managerial roles in emerging interdisciplinary areas. Students gain theoretical and practical knowledge of key areas of finance and computing, understanding of the latest technologies and applications such as big data and business analytics, and practical research skills. The Academy of Artificial Intelligence and Advanced Technology provides specialist lab facilities, while the on-campus Financial Lab and Trading Floor and the IBM-supported Research Institute of Big Data Analytics give access to real-world data for study and research.

• Interdisciplinary program combining computer science and finance
• Access to the on-campus Financial Lab and Trading Floor
• Research Institute of Big Data Analytics developed with IBM
• Specialist lab facilities in the Academy of AI and Advanced Technology
• University of Liverpool degree recognised by China's Ministry of Education

An undergraduate degree, normally in a relevant computing or finance-related field.

English is the medium of instruction; applicants must meet XJTLU's standard English language entry requirements for postgraduate programs.

Not stated on official pages.

• Academic transcripts
• Degree certificate
• English language test report
• Personal statement
• Recommendation letter(s)

Check your eligibility and academic background | Prepare academic transcripts and degree certificate | Prepare your English language test result | Prepare your personal statement and recommendation letter(s) | Submit your application through the university admissions system | Await the admission decision

Not stated on official pages.

Core modules include Research Methods, Fundamentals of Machine Learning, Data Mining and Big Data Analytics, Information Security, Software Architectures, Artificial Intelligence and the MSc Dissertation Project. Optional modules include Accounting and Financial Management, Cloud Computing, Natural Language Processing, Computational Methods in Finance, International Finance and Economics, Advanced Corporate Finance, Advanced Investments and Deep Learning in Finance.

Graduates are prepared for roles such as software engineer, database specialist, infrastructure manager, financial analyst, financial consultant, business analyst, system analyst, investment analyst, e-finance architect, credit manager, portfolio manager and risk management auditor.