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BSc Business Analytics

Lancaster University

Institution
Lancaster University
Level
undergraduate
Subject
Business Analytics
Duration
3 years
UCAS code
N2N1
Typical offer
A-level ABB, IB 32

Entry requirements

A level: ABB IB: 32 points overall with 16 points from the best 3 HL subjects

About this course

BSc Hons in Business Analytics, a mathematics, operational research, statistics and economics degree centred on quantitative and statistical methods for modern organisations. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Project Management, and Artificial Intelligence & Machine Learning. The course features flexible study options including placement years or study abroad, alongside choices to balance quantitative and qualitative subjects. The first year covers core topics through Managing Uncertainty in Business, Business Data and Intelligence, Computing for Business Decision Making, and Foundations in Operations Management. The second year progresses with Forecasting and Machine Learning, Business Optimisation and Simulation, and Project Management: Theories, Tools and Techniques. Optional modules across the degree allow specialisation in areas such as accounting, economics, and marketing. The final year focuses on advanced study through Advanced Machine Learning for Data Mining, Advanced Optimisation and Simulation, Negotiation Skills, and concludes with the Analytical Project Application in Business Contexts capstone module.

Modules

  • Managing Uncertainty in Business
  • Business Data and Intelligence
  • Computing for Business Decision Making
  • Foundations in Operations Management
  • Professional Development for Business Analytics
  • Foundations of Accounting and Finance
  • Foundations of Economics
  • Principles of Microeconomics
  • Principles of Macroeconomics
  • Principles of Marketing
  • Matrices and Calculus
  • Probability and Statistics
  • Forecasting and Machine Learning
  • Business Optimisation and Simulation
  • Project Management: Theories, Tools and Techniques
  • Digital Business and Organisational Transformation
  • Spreadsheet Modelling Techniques
  • Statistical Methods for Business
  • Digital Marketing and Analytics
  • Marketing Management Essentials
  • Global Business Knowledge and Mindset
  • Intermediate Accounting and Finance
  • Games and Strategic Behaviour
  • Intermediate Macroeconomics
  • Intermediate Microeconomics
  • Advanced Machine Learning for Data Mining
  • Advanced Optimisation and Simulation
  • Negotiation Skills
  • Analytical Project Application in Business Contexts
  • Advanced Spreadsheet Modelling Techniques
  • Enterprise Systems and Sustainability in Practice
  • Global Supply Chain Management
  • Advanced Accounting and Finance
  • Contemporary Issues in Marketing
  • Current Issues in Economics