← All courses at Brunel University of London

BEng Engineering with Business

Brunel University of London

Institution
Brunel University of London
Level
undergraduate
Subject
Engineering with Business BEng (Hons)
Duration
3-4 years
UCAS code
H10N
Typical offer
A-level ABB, IB 31

Entry requirements

A level: ABB including one of the following subjects; Maths, Further Maths, Physics, Chemistry, Biology, Computer Science, Electronics or Design and Technology (Use of Maths, Critical Thinking, Mathematical Studies and General Studies not accepted) IB: International Baccalaureate Diploma 31 points, including 5 in one of the following Higher Level subjects; Maths ( Analysis and Approaches) / Maths (Applications and Interpretation), Physics, Chemistry, Biology, Computer Science, Design Technology

About this course

BEng (Hons) in Engineering and Innovation, combining engineering systems with business management. Core topics include Computer Architecture, Embedded Systems, Data Analysis, Artificial Intelligence and Machine Learning, Entrepreneurship, and Project Management. A final-year individual project requires students to design and deliver a substantial piece of engineering work in a professional manner. The programme offers an optional placement year in industry and draws on optional modules from across Brunel's engineering departments.

Modules

  • Engineering Practice
  • Engineering Systems and Energy I
  • Data and Information
  • Internet and Network Technologies
  • Mathematics for Computer Systems
  • Introduction to Electronic and Computer Systems
  • Introduction to Accounting and Financial Management
  • Microcontroller Principles
  • Sensors and Automation
  • Data Networks and Cyber Security
  • Microcontroller Group Design Project
  • Professional Practices and Business for Engineers
  • Engineering Design and Manufacturing for Business
  • Project Management (MG2130)
  • Individual Project
  • Engineering Management and Quality Engineering
  • Entrepreneurship and Small Business Ventures
  • Embedded Systems
  • Design of Internet of Things
  • Big Data Analytics
  • Introduction to AI applications in Engineering
  • Applied Artificial Intelligence and Machine Learning
  • Project Planning, Procurement and Risk
  • Energy Infrastructure Engineering