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BSc Business Data Analytics

Bangor University

Institution
Bangor University
Level
undergraduate
Subject
Business Data Analytics
Duration
3 years
UCAS code
N313
Typical offer
UCAS 104-128

Entry requirements

GCSE Maths at grade C/4 required if not demonstrated by the Level 3 qualification. Offers are tariff based, 104 - 128 tariff points from a Level 3 qualification* e.g.: A Levels: General Studies and Key Skills not normally accepted BTEC National Extended Diploma: DMM - DDM Cambridge Technical Extended Diploma: DMM - DDM International Baccalaureate Diploma: accepted Access: pass required Welsh Baccalaureate: We will accept this qualification in conjunction with other level 3 qualifications T Levels: T Levels in a relevant subject considered on a case-by-case basis Extended Project Qualification: Points can include a relevant Extended Project (EPQ) but must include a minimum 2 full A-levels, or equivalent.

About this course

BSc (Hons) in Business and Business and Management, combining business operations with data analytics and technology. Core topics include Programming, Data Analysis, Statistics, Artificial Intelligence & Machine Learning, Project Management, and Ethics & Professional Practice. The course includes access to a trading room with current and historical financial data, and a final-year Consultancy Project involving research and analysis of a real business issue.

Modules

  • Principles of Management and Organisation
  • Introduction to Contemporary Management Issues in Ethics, Sustainability, Human Resource Management (HRM) and Tourism
  • Business Analytics Coding
  • Database Applications in Business and Finance
  • Business Analytics
  • Business Analysis Methods
  • Discover Economics
  • Financial Techniques and Analysis
  • Business Information Systems
  • Commercial Awareness and Insight of Work
  • Data Science
  • Infrastructure for Data Analytics
  • Investment and Portfolio Management
  • Econometrics
  • Operations Strategy Across the Enterprise
  • Strategic Management
  • International Business and Global Competency
  • Applied Machine Learning
  • Consultancy Project
  • Financial Technology (FinTech)
  • Advanced Econometrics
  • Corporate Governance
  • Financial Derivatives