WSU : Financial Engineering

Programs and Courses Offered

The Faculty of Financial Engineering provides a diverse array of programs tailored to equip students with a robust foundation in financial theory and practical quantitative skills. Our undergraduate program focuses on core concepts in probability, pricing models, and algorithmic trading. Our graduate offerings include specialized courses in derivatives, risk management, and machine learning applied to finance.

In addition to degree programs, we present a series of professional certifications in data analysis, blockchain technology, and artificial intelligence in finance – crafted for those seeking to enhance their expertise or pivot their professional trajectory toward financial technology.

1

Bachelor's Program

Rooted in mathematics and statistics, the bachelor's program builds foundational knowledge in coding for finance and current market practices, preparing undergraduates for industry challenges.

2

Master's & PhD Programs

Advanced degree programs delve into sophisticated models and computational techniques, with research opportunities in topics such as algorithmic trading and fintech innovations.

3

Certifications

Short courses and certifications further specific skills such as algorithm development, data science tools, and understanding of regulatory compliance in a digital era.

Research and Publications

The Faculty of Financial Engineering is at the forefront of research, pushing the boundaries of financial theory and practice. We actively contribute to scholarly discourse with publications in prestigious journals on topics such as:

The application of big data analytics in predictive financial modeling.
Quantum computing and its emerging role in high-frequency trading.
Behavioral finance and its implications on algorithmic decision-making.

Strategic partnerships with industry leaders and financial institutions drive our research initiatives, ensuring practical relevance and technological advancement.

1

Research Formulation

Defining cutting-edge questions and hypotheses within the evolving landscape of financial engineering.

2

Data Collection

Gathering and analyzing extensive datasets to investigate theories and build robust models.

3

Publication & Impact

Disseminating findings through journals and conferences, influencing both academia and industry practices.

Career Opportunities

The Faculty of Financial Engineering not only prepares students for current roles but actively shapes their futures, guiding them towards fulfilling careers. Placements after graduation span the entire financial sector:

Quantitative Analysts in leading investment banks.
Risk Managers for hedge funds and asset management firms.
Data Scientists crafting financial algorithms for tech giants.
Policy Advisors for government and regulatory agencies.

1

Education & Training

Hands-on training as fundamental to career accomplishments.

2

Innovation & Leadership

Many have gone on to pioneer innovative solutions or lead teams at the cutting edge of financial technology.

3

Global Influence

From Wall Street to Silicon Valley, our alumni shall continue to influence and reshape the financial landscape worldwide.

Disclaimer

Please note that the information presented in this document about the Faculty of Financial Engineering is intended for general informational purposes only. While we strive for accuracy and completeness, the nature of academic offerings and faculty expertise may change over time. Prospective students and interested parties should verify the current status of all programs, courses, and faculty members before making decisions based on the content of this document.

We also acknowledge the dynamism of the financial sector and the possibility of unforeseen advancements influencing the relevance of any information provided herein. The Faculty of Financial Engineering disclaims liability for any decisions taken based on the information provided in this document.

Introduction to the Faculty of Financial Engineering