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Business Analytics with Finance, BSc (Hons)

City, University of London, United Kingdom

 
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Subject ranking

Marketing and Public Relations
UK / Guardian 2025
3rd
Finance
UK / ARWU 2024
5th
Accounting and Finance
UK / Times 2025
5th

Costs

Course feesS$46.7K / year
Entertainment, books
food & rent
S$25.1K / year
Beer S$10
MacDonalds S$13
Cinema S$21
Coffee S$6
TotalS$71.7K / year

Entry requirements

A Level AAA
Diploma 3.6
International Baccalaureate 35

Scholarships

British Chevening Scholarships
100% for tuition and living expenses
Limited quantity

Information

Course
Code
N93N
Upcoming
Intakes
Sep 2025
Course
Website (External)
Pathway
Programmes
See pathways
University
Information

Duration

3 years
Graduate
2028
About the course

The BSc (Hons) in Business Analytics with Finance, delivered by Bayes Business School—a top 6 UK institution per Financial Times rankings—combines rigorous academic teaching with practical industry elements to enhance career prospects. This includes experiential learning through five bootcamps for technology skills, two data competitions for dissemination abilities, five knowledge integration modules for analytical thinking, one work experience module for actionable insights, and opportunities via micro-placements, internships, and industry projects.The program adopts a modular structure: Core Development in Year 1 and early Year 2 builds foundational knowledge; Core Specialisation in mid-Year 2 applies concepts to complex scenarios; and Deployment Specialisation in Year 3 develops advanced skills, potentially culminating in a final project. Assessment involves coursework, examinations, tests, quizzes, presentations, and group or individual projects, with modules subject to change.

What you will learn

Year 1 Core modules:

  • Finance and Investment
  • Introduction to Management
  • Mathematics for Business Analytics
  • Data Visualisation
  • Business Economics
  • Statistics for Business Analytics
  • Unsupervised Machine Learning
  • Data Wrangling and Exploratory Data Analysis
Year 2 Core modules:
  • Applied Business Intelligence
  • Applied Natural Language Processing
  • Financial Econometrics
  • Supervised Machine Learning
  • Predictive Analytics Knowledge Integration
  • Scalable Analytics Methods
  • Portfolio Theory and Investment Valuation
  • Deep Learning
Year 3 Core modules:
  • Data Management Systems
  • AI-Powered Analytics
  • Explainability of Analytics Methods
  • Fintech in Banking and Finance
  • Quantitative and Algorithmic Trading
Elective Modules:
  • Final Year Applied Research Project Applied Research Project
  • Spatial Analytics
  • Consulting Research Methods for Business Analytics
  • Micro-placements
  • Summer Internship
  • Advanced Econometrics and Forecasting
  • Derivatives
  • Network Analytics
  • Change Management
  • Embedding Innovation
  • Financial Engineering
  • The Role of Environmental, Social and Governance in Banking and Finance
Modules are subject to change.