Program Overview
This MSc program in Fintech, Risk, and Investment Analysis equips students with the knowledge and skills to navigate the rapidly evolving financial industry. With a focus on investment management, risk management, and financial technology, the program prepares graduates for careers in quantitative finance, including roles as quantitative risk analysts, quantitative investment analysts, and asset managers. The program is highly practical and provides students with hands-on experience using industry-standard software, as well as mentorship and career guidance opportunities.
Program Outline
Degree Overview:
This MSc program in Fintech, Risk and Investment Analysis is designed to equip students with the knowledge and skills needed to thrive in the rapidly evolving financial landscape. The program focuses on three key areas: investment management, risk management, and financial technology (FinTech).
Objectives:
The program aims to:
- Provide students with the theoretical and practical knowledge to adapt to changing regulatory environments.
- Enhance students' skills in coding and automation.
- Equip students with the ability to use trading, risk assessment, and portfolio management software.
Description:
The program is highly practical and provides students with access to the University's Bloomberg Financial Markets Lab, supervised by academic and industry experts. Students will learn from globally renowned faculty with extensive industry experience.
Outline:
Structure:
The program is a one-year full-time program that starts in September.
Course Schedule:
- Autumn Teaching:
- Blockchains and Cryptoassets
- Essential Quantitative Finance
- Financial Instruments
- Programming for Finance
- Spring Teaching:
- Financial Derivatives
- Market and Credit Risk Analysis
- Spring and Summer Teaching:
- Portfolio Management
- Summer Teaching:
- Empirical Research Project
- Options
Modules:
- Core Modules:
- Blockchains and Cryptoassets: This module explores the fundamentals of blockchain technology, its applications in finance, and the implications of cryptocurrencies.
- Essential Quantitative Finance: This module covers the essential mathematical and statistical tools used in finance, including probability, statistics, and financial modeling.
- Financial Instruments: This module provides an in-depth understanding of various financial instruments, including bonds, stocks, derivatives, and other financial products.
- Programming for Finance: This module introduces students to programming languages and techniques relevant to finance, such as Python and R.
- Financial Derivatives: This module delves into the theory and practice of financial derivatives, including options, futures, and swaps.
- Market and Credit Risk Analysis: This module focuses on the analysis and management of market and credit risks in financial institutions.
- Portfolio Management: This module covers the principles and techniques of portfolio construction, optimization, and performance evaluation.
- Empirical Research Project: This module provides students with the opportunity to conduct independent research on a topic related to Fintech, risk, or investment analysis.
- Options: This module explores the theory and practice of options pricing and trading.
- Optional Modules:
- Corporate Finance: This module examines the financial decisions made by corporations, including capital budgeting, financing, and dividend policy.
- Sustainable Business Finance: This module explores the intersection of finance and sustainability, including environmental, social, and governance (ESG) factors.
- Accountability and Ethics: This module examines ethical considerations in finance and the role of corporate social responsibility.
- Advanced Financial Modelling and Machine Learning: This module delves into advanced financial modeling techniques and the application of machine learning in finance.
Teaching:
- The program is taught by a team of experienced faculty with expertise in Fintech, risk, and investment analysis.
- The program utilizes a variety of teaching methods, including lectures, seminars, case studies, and group projects.
- Students have access to the University's Bloomberg Financial Markets Lab, which provides hands-on experience with real-world financial data and software.
Careers:
- Graduates of this program are well-prepared for careers in quantitative finance, including roles as quantitative risk analysts, quantitative investment analysts, and asset managers.
- Potential employers include banks, corporate treasuries, hedge funds, investment trusts, and any firm requiring in-depth and practical financial knowledge.
- The program provides students with career guidance and mentorship opportunities to help them launch their careers.
Other:
- The program is accredited by the Chartered Financial Analyst Institute (CFA) and the Chartered Institute for Securities and Investment (CISI).
- The University of Sussex Business School is EQUIS and AMBA accredited.
- The program is designed to meet the growing demand for professionals with expertise in Fintech, risk, and investment analysis.
- The program provides students with a strong foundation in quantitative finance, financial technology, and risk management.
- The program is highly practical and provides students with hands-on experience using industry-standard software.
- The program is taught by a team of experienced faculty with extensive industry experience.
- The program offers career guidance and mentorship opportunities to help students launch their careers.
Home students: £14,250 per year for full-time students Channel Islands and Isle of Man students: £14,250 per year for full-time students International students: £25,000 per year for full-time students
