Master of Science
MSc Business Analytics and Artificial Intelligence
Become an expert in business analytics through this specialist master’s programme.
Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach.
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Fees and funding
Fees
Fees for entry in 2027 have not yet been set. For reference, the fees for the academic year beginning September 2026 were as follows:
-
MSc (full-time)
UK students (per annum): £20,000
International, including EU, students (per annum): £35,700
The fees quoted above are fully inclusive of tuition, administration and computational costs.
Fees for entry are subject to yearly review. The University reserves the right to increase your tuition fee by up to 7% each year for courses lasting more than one year, including to reflect rising costs associated with delivering our educational and wider student experience. Postgraduate fees information .
Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
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Graduates of The University of Manchester and Manchester Metropolitan University can receive a 10% discount on their master's degree tuition fees as part of our Manchester Alumni Loyalty Discount scheme.
Course unit details:
Digital Strategy
| Unit code | BMAN74531 |
|---|---|
| Credit rating | 15 |
| Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
| Teaching period(s) | Semester 1 |
| Offered by | Alliance Manchester Business School |
| Available as a free choice unit? | No |
Overview
The transformative potential of digital technology for strategy is significant, and we are increasingly recognizing how this potential is turning into a new business reality. The pervasive use of digital technology as reflected in, for instance, self-driving cars, robotic technology, and mobile applications is impressive in itself. It will most certainly promise to challenge what we know about transportation, service work, and intellectual activity. In this regard, digital technology is no longer merely a way of more efficiently supporting business processes, but also something that will strategically shape the core of what firms do.
It is therefore useful to more closely investigate traditional strategy approaches and how they are shaped for making strategy work in the digital age. Such strategy approaches include the ideas of strategically positioning the firm within a competitive landscape, leveraging existing resources and capabilities, or continuously seeking to seize emerging opportunities.
This unit will offer a broad perspective on the design and implementation of effective digital strategies for contemporary organizations.
Aims
The unit aims to: examine the latest trends in digital technologies and the different digital strategies firms develop to achieve a competitive advantage in their focal markets. Drawing from recent research on digital innovation, platform ecosystems, and strategic management, the unit will provide a set of analytical frameworks to enable students to assess suitable digital strategies under different scenarios. Specifically, the unit aims to:
1) Equip students with the concepts and frameworks they need to understand, analyse and respond to digital trends.
2) Encourage students to critically explore the ways in which digital technology is used for competitive advantage and be aware of the broader business context.
3) Enable students to develop digital strategies by harnessing appropriate concepts and frameworks to analyse the capabilities of contemporary digital technologies
Learning outcomes
Knowledge and understanding
KU1 Acquire knowledge on the ways in which digital technologies are used for competitive advantage
KU2 Understand the complexities and challenges of digital strategies within organizations
KU3 Assess the impact of current trends in digital technologies upon existing organizational practices and processes.
Intellectual skills
IS1 Develop a critical awareness of the strengths and limitations of past business strategies vis-à-vis digital strategies
IS2 Demonstrate skills in analysing the interactions between digital strategies and organizational processes
IS3 Demonstrate an ability to combine and integrate evaluations of digital technologies capabilities and organizational capabilities to ensure their fit
Practical skills
PS1 Diagnose, analyse and propose solutions for realistic organisational needs using analytical frameworks learned in the unit
PS2 Investigate a digital technology trend and produce written case reports
PS3 Internalise the material on unit topics through a combination of learning methods including self-study and guided reading, on-line discussions and applying the theories to a real-world case study
Transferable skills and personal qualities
TS1 Substantiate analysis with digital strategy theories and evidence.
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Syllabus
Syllabus (indicative curriculum content):
Week 1:
Introduction to the unit.
Lecture: Digital Disruption & the New Rules of Strategy (A)
Case Study: Netflix vs Blockbuster
Week 2:
Lecture: Digital Disruption & the New Rules of Strategy (B)
Case Study: Streaming Wars (Netflix, Hulu, Amazon Video Prime, Apple TV)
Week 3:
Lecture: Building Digital Strategies that are Customer Centric
Case Study: Burberry reinventing itself
Week 4:
Lecture: Digitally Transforming the (value) supply chain
Case Study: Shein disrupting big marketplaces
Week 5:
Lecture: Building a Platform Ecosystem & Leveraging AI (A)
Case Study: Amazon Marketplace
Week 6:
Lecture: Building a Platform Ecosystem & Leveraging AI (B)
Case Study: TikTok’s AI Strategy
Week 7:
Lecture: Generative AI: Disrupting Industries (A)
Case Study: ChatGPT vs Google and the Future of Search
Week 8:
Lecture: Generative AI: Disrupting Industries (B)
Case Study: OpenAI and the Large Language Model Market
Week 9:
Lecture: Digital Strategy Recap
Week 10:
Group Project Presentations
Teaching and learning methods
Lectures combined with group discussions of case studies.
Lectures: 20 hours
Case Study Tutorials: 10 hours
Guided independent study: 120 hours
Total: 150
Employability skills
- Analytical skills
- Group/team working
- Problem solving
- Other
- Decision Making and Time Management
Assessment methods
| Method | Weight |
|---|---|
| Report | 60% |
| Oral assessment/presentation | 40% |
Feedback methods
Summative Assessment Tasks
Group Project Presentation - Written feedback provided on CLE
Individual Report - After the end of the unit. Written feedback provided on CLE
Formative Assessment Task
Case Study Analysis - In class, during case study analysis sessions
Recommended reading
• Teece, D.J., 2018. Business models and dynamic capabilities. Long range planning, 51(1), pp.40-49.
• Casadesus, R. and Ricart, J.E., 2011. How to design a winning business model. Harvard business review, 89(1/2), pp.100-107.
• DalleMule, L. and Davenport, T.H., 2017. What’s your data strategy. Harvard Business Review, 95(3), pp.112-121.
• Gandhi, S., Thota, B., Kuchembuck, R., and Swartz, J. 2018. Demystifying Data Monetization. MIT Sloan Management Review.
• Hagiu, A. and Wright, J., 2020. When data creates competitive advantage. Harvard Business Review, 98(1), pp.94-101.
• Van Alstyne, M.W., Parker, G.G. and Choudary, S.P., 2016. Pipelines, platforms, and the new rules of strategy. Harvard business review, 94(4), pp.54-62.
• Mihalcea, A., 2017. Employer branding and talent management in the digital age. Management Dynamics in the Knowledge Economy, 5(2), pp.289-306.
• Nylén, D. and Holmström, J., 2015. Digital innovation strategy: A framework for diagnosing and improving digital product and service innovation. Business horizons, 58(1), pp.57-67.
• Neeley, T. and Leonardi, P., 2022. Developing a Digital Mindset. Harvard Business Review, 100(5-6), pp.50-55.
• Sia, S.K., Soh, C. and Weill, P., 2016. How DBS Bank Pursued a Digital Business Strategy. MIS Quarterly Executive, 15(2).
• Sebastian, I., Ross, J., Beath, C., Mocker, M., Moloney, K. and Fonstad, N., 2017. How big old companies navigate digital transformation. MIS quarterly executive, 16(3), pp.197-213.
• Birkinshaw, J., 2022. How incumbents survive and thrive. Harvard Business Review, 100(1), pp.36-42.
• Christensen, C.M., 1992. Exploring the limits of the technology S‐curve. Part I: component technologies. Production and operations management, 1(4), pp.334-357
• Bharadwaj, El Sawy, O. A., Pavlou, P. A., Venkatraman, N. 2013. Digital Business Strategy: Toward a Next Generation of Insights, MIS Quarterly 37(2) pp. 471-482.
• Cennamo, C. (2021). Competing in digital markets: A platform-based perspective. Academy of Management Perspectives, 35(2), 265-291
For information and advice on the Library's Reading List management system, see: https://www.library.manchester.ac.uk/services/teaching-services/reading-lists/
Study hours
| Scheduled activity hours | |
|---|---|
| Lectures | 20 |
| Seminars | 10 |
| Independent study hours | |
|---|---|
| Independent study | 120 |
Teaching staff
| Staff member | Role |
|---|---|
| Panos Constantinides | Unit coordinator |
| Azar Shahgholian | Unit coordinator |
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