Taught course

Internet of Things and Digital Enterprise - MSc

London Metropolitan University · School of Human Sciences

Entry requirements

You will be required to have:

  • a 2:2 UK degree (or equivalent) in Computer Science, Computing, IT or a related field
  • Working knowledge of one programming language is sufficient to follow the course but knowledge of an object-oriented programming language is advantageous. Applicants with relevant professional experience will also be considered.

All applicants must be able to demonstrate proficiency in the English language. Applicants who require a Tier 4 student visa may need to provide a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.

Accelerated study

The course provides the opportunity to accelerate your study through accounting any of your previous relevant learning and practical experience. This through the mechanism of APCL/APEL (Accounting Prior Credited/Experiential Learning). Up to 50% of the necessary credits for completing the study can be credited on the basis of previous experience.

Months of entry

January, September

Course content

Why study this course?

The MSc Internet of Things and Digital Enterprise is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. The focus of the course is on the three recent movements within IT industry: Cloud Computing, Big Data and Internet of Things. The focus of the course is on the three recent movements within IT industry: cloud computing, big data and the internet of things.

More about this course

The course will be based on development tools and software technologies for data, system and service development, Cloud Computing, Big Data, Internet of Things and Information Security. It will also make use of new technologies for integration of embedded devices such as Arduino and Raspberry. Students will be able to choose options from Mobile application development, cybercrime and security, data and visualisation or work related learning before embarking on the project.

The course provides preparation and training which encourages students seeking positions within the financial, retail and entertainment sectors. It incorporates materials for professional training, which prepare you for professional certification in Oracle SQL, Java Enterprise and Hortonworks Data Platform.

The extensive collaboration between the School of Computing and industries in London resulted in numerous Knowledge Transfer Partnerships and Consultancy Projects. These won a number of national awards and made London Met graduates renowned for their high starting salaries. Due to the high demand for specialists in this area, students on the course can rely on help in finding jobs both in the numerous high-tech startups as well as big financial organisations in the City of London.


A range of assessment methods is employed throughout the course:

  • Case study reports and presentations
  • Computer laboratory workshops
  • Individual and group coursework
  • Unseen examinations
  • In class tests
  • Individual vivas

The method of assessment for each module is clearly described in the individual module guide which is made available to the students at the start of the semester. Every module has dedicated website providing students with comprehensive learning/teaching material including workshop exercises. Module leaders use this site regularly to communicate with their students including guidelines on how prepare for assessment, supporting materials, and general feedback.

Professional accreditation

This course is not currently accredited, however, students who wish to pursue professional certification will be assisted to sit the certification exams in Databases, Java Enterprise and Apache Hadoop by Oracle and Hortonworks.

Modular structure

Core modules include

  • Cloud computing and the Internet of Things
  • Data Warehousing and Big Data
  • Enterprise Software Components and Systems Development

Option modules include

  • Cybercrime and Cyber Security
  • Data Analysis and Visualisation
  • Mobile Application Design and Development

Please refer to the course page on the London Met website for the full list of modules.

Fees and funding

UK students
View the course page on the London Met website for fee information
International students
View the course page on the London Met website for fee information

Qualification and course duration


part time
24 months
full time
12 months

Course contact details

Admissions Office
+44 (0)20 7133 4200