Digital Business and Emergent Technologies
Module name: Digital Business: Strategic Management of Emergent Technologies
All fully funded places have now been allocated. However, self-funded candidates are still welcome to apply.
Digital Transformation is driving business to do things differently. Industry is using digital technologies to create and update business processes, culture and customer experiences to meet evolving business and market requirements.
Why do we need these new and emerging technologies? How can they add value to our business? In this module, we will explore these questions and some of the key technologies in this area including data lakes, Artificial Intelligence, big data, blockchain, Internet of Things, Cloud Technologies and cyber security issues such as social engineering. We will also learn how to predict and evaluate emerging technologies that have the potential to disrupt business and society.
- to explore emerging and future technologies that will add value to business
- to consider the legal, ethical, social, political, economic, environmental, demographic, philosophical and cultural issues on which future technologies may have influence and be influenced by
- to use appropriate contemporary research and forecasting techniques to make and justify credible business cases to senior business figures about digital technology and digital transformation
Self-funded applicants with a minimum of a second-class Honours degree or equivalent are also welcome to apply. If English is not your first language you must provide evidence of your English language skills (minimum IELTS Academic or UKVI 6.0 with a minimum of 5.5 in each sub-skill).
Scottish Funding Council (SFC) fully funded places are available for this short course. These will be awarded on a first-come, first-served basis to eligible applicants. Please submit your application as soon as possible to secure your funded place.
On successful completion of the module, you should be able to:
- synthesise knowledge and information from a range of, often contradictory, sources to identify trends in the fields of business and management
- critically analyse, evaluate and make judgements on predictions from established technological futurologists
- analyse the wider legal, ethical, social, political, economic, environmental, demographic, philosophical and cultural issues related to emerging and future technologies
- make, present and justify informed predictions relating to future computer-based systems
This course will help you develop individual skills such as:
- systems thinking
- business acumen
- senior management pitching
- report writing
- linking technology to business strategy
Structure and content
The module is delivered entirely online through our intuitive learning platform iStirling which is accessed through the University Portal. You’ll have access to a wide range of resources, including:
- video lectures
- day-to-day support from online tutors
- collaborative activities with fellow students
- core module materials, documentation and reading lists
- journals, ebooks and software
Topics we will cover include:
- Review of Strategy, Strategic Management, Data and Information / IT/IS/IM
- Why and how business use IT/IS/IM (digital business models)
- Strategic Information Systems Planning Methodology and IT/IS Alignment (Zachman and TOGAFF)
- Emerging technology landscape and evaluating emerging technologies (predicting new emergent technologies and evaluating technological investments)
- Internet of Things
- High Performance Computing (HPC) including Big Data technology, Visualisation and collaboration including data visualisation, virtual and augmented reality (& mixed reality), crowd sourcing
- Cloud computing, Blockchain & Cryptocurrencies
- Artificial Intelligence, Machine learning and Robots
- Cyber-security: social engineering
- Industry 4.0
Delivery and assessment
You will be taught through a combination of online lectures and workshops, guided reading, and independent and group working. We expect students to prepare in advance of all sessions and come ready to fully engage and contribute. You will also be expected to put in significant independent work and study time outside of class sessions to fully meet the Learning Objectives of this module.
This module is structured around theoretical foundations, empirical evidence and practical cases. It features an overview of theoretical building blocks necessary to understand digital transformations (including network effects, information markets, and platforms), an advanced view on actors’ opportunities and strategies across core digital technologies.
The management of technological innovation is inherently interdisciplinary and multi-functional, so we will provide an integrative approach to the management of innovation, and how this influences and is influenced by business models and value propositions.
The assessment, taken as a whole, requires students to conduct an in-depth investigation into a topic within the broad scope of Emerging and Future technologies. You will create a 3,000-word individual report (100% of the mark) with an emphasis throughout on the future development of the subject.
The most current, up-to-date, emerging and future research areas in digital business (possibly including aspects of wider technology) will be considered in this module. Naturally, these fields will change rapidly and have to be reviewed on a regular basis. However, at the time of submission, examples areas could include:
- intelligent computing, artificial intelligence and robotics
- technological singularity
- future safety, security and privacy
- assistive living and ambient technology
- smart environments
- Internet of Things and Big Data
- science in harsh environments e.g. outer space, deep sea scenarios
- optical computing
- quantum computing
- biological computing
- e-learning / m-learning advances
- high performance computing (including PRC) and applications of HPC
- biometrics and Transhumanism
- future entertainment, leisure, health, employment, etc.
- future wireless and mobile communication; PANs, BANs, etc.
- Artificial Intelligence
- forecasting techniques and predictive research methodology
To be confirmed. In the meantime, queries can be directed to Kevin Grant.
If you have any questions about entry requirements for our continuing professional development and short courses, contact our Admissions team.
For all other questions, please use our enquiry form.