FinTech with Data Analytics BSc Honours

Program Overview

The FinTech with Data Analytics BSc Honours program equips students with the knowledge and skills to succeed in the rapidly evolving fields of financial technology (FinTech) and data analytics. The program combines computer science principles with finance, utilizing industry-standard software and providing practical experience through the Bloomberg Financial Markets Suite. Students gain a comprehensive understanding of FinTech frameworks, master data analysis tools, and explore specialized areas such as blockchain technology and machine learning, preparing them for a range of careers in the financial services sector.

Program Outline

Degree Overview:

This program aims to equip students with the knowledge and skills necessary to thrive in the rapidly evolving world of financial technology (FinTech) and data analytics. It combines computer science principles with finance, building a strong foundation in both areas.

• Master industry-standard software and tools used in the financial services sector.
• Gain practical experience in financial analysis and data manipulation.
• Explore specialized areas within FinTech, such as blockchain technology, cloud computing, and machine learning.
• Develop professional and enterprise skills through real-world experiences and simulations.
• Build a professional network within the City of London's global financial institutions.
• Gain insights into contemporary issues faced by the financial services sector through guest lectures from industry professionals.
• Prepare for a successful career in various roles within the FinTech and data analytics landscape.

Outline:

Year 1:

• Credit Level: 4
• Subjects of Study:
• Business Computing
• Financial Skills Development
• Introduction to Finance
• Mathematics for Finance
• Principles of Fintech, Blockchain and Cloud Computing
• Entrepreneurship in FinTech

Year 2:

• Credit Level: 5
• Subjects of Study:
• Computational Finance and Business Analysis
• Financial Market Microstructure
• Financial Modelling and Statistics
• Principles of Cryptocurrencies and Blockchain Technology
• Project Finance

Placement Year:

• Students can choose to spend a year in industry, study abroad, or combine both.

Year 3:

• Credit Level: 6
• Subjects of Study:
• Advanced Data Analysis and Management Science
• Business Forecasting and Predictive Analytics
• Machine Learning
• RegTech and Financial Crime
• Big Data Analytics
• Investments and Portfolio Management
• Risk Management in Finance and Banking

Assessment:

Year 1:

• 62% Written exams
• 24% Practical assessments
• 14% Coursework

Year 2:

• 13% Written exams
• 87% Coursework

Placement Year:

• 100% Coursework

Year 3:

• 17% Written exams
• 83% Coursework

Teaching:

• Methods: Lectures, seminars, workshops, tutorials, problem-based learning, blended learning, and practical application.
• Faculty: Expert teaching staff with professional experience in financial and credit risk analysis, economic, business, and digital consulting.
• Unique Approaches:
• Access to the state-of-the-art Bloomberg-powered Financial Markets Suite (FMS).
• Learning industry-standard software like Python, R, MATLAB, blockchain databases, and cloud computing systems.
• Field trips to financial institutions.
• Support in setting up a business with expert guidance.
• Opportunities for year-long work placements or international study abroad.
• Bloomberg certification upon successful completion of the Financial Skills Development module in Year 1.

Careers:

• Potential Career Paths:
• Consultancy practice
• Challenger banks
• International financial and government institutions
• FinTech startups
• Job Roles:
• Account manager
• Business control officer
• Compliance manager
• Corporate analyst
• Data scientist
• Financial analyst
• Financial engineer
• Marketing manager/designer
• Product owner

Other:

• The program was designed with input from industry professionals with expertise in financial markets, institutions, and financial regulation.
• The University's Careers and Employability Service provides support in exploring and connecting with career opportunities.
• Students can participate in The Big Idea competition, sponsored by Santander, to develop their innovation and entrepreneurial skills.
• The University of Westminster has excellent industry links with leading financial technology and data vendor services providers, such as Bloomberg.
• Graduates from the Business School have found employment at organizations including Amazon, Citibank, Financial Conduct Authority, Paribas, Santander, Sberbank, Société Générale, Standard Chartered, and World Economic Forum.
• The Westminster Employability Award allows students to formally document and demonstrate their personal and professional development activities.

UK Fees

£9,250 (Price per academic year)