Management and Artificial Intelligence MSc

Main campus, Lancaster,, United Kingdom

Shortlist

12 monthsProgram duration

27,300 GBPTuition Fee/year

YesScholarships

Business and Management StudiesMain Subject Area

Shortlist

Program overview

Main Subject

Business and Management Studies

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Our MSc in Management and Artificial Intelligence (AI) is designed for students looking to develop expertise in applying AI across various modern management practices and contexts. You will acquire the critical skills and insights necessary to lead AI initiatives within contemporary organisations.

Through a multidisciplinary teaching approach, you will explore the applications, opportunities, and limitations of AI, learning how to navigate the challenges and risks associated with integrating AI into business and operational processes. The curriculum emphasises hands-on experience with AI tools, engagement with industry practitioners, and stimulating discussions on relevant topics.

This master's programme offers a practical and transformative learning experience that aligns with the rapidly evolving field of AI.

You do not need previous knowledge of AI to apply for this programme. We welcome students from diverse academic backgrounds, including social sciences, humanities, management, business, and engineering. The programme is also suitable for students from an AI background who want to build their knowledge of management functions and processes.

Programme content

The key themes covered in this programme are:

People, Work, and AI: Examine the transformative impact of AI on People Management and the nature of work and jobs, particularly in areas such as recruitment, talent development, employee engagement, job design, and productivity. Through critical assessment and hands-on practice, gain a nuanced understanding of AI's opportunities and risks for managing people and work in contemporary organisations.
Managing Change and AI: AI is reshaping industries and redefining work practices, making effective change management essential for organisations adopting these emerging technologies. You will explore the strategies and frameworks critical for implementing AI, ensuring smooth transitions, overcoming challenges, realising AI’s potential, and developing the skills to lead AI-driven change in dynamic and emerging organisational environments successfully.
AI in Data Analytics: Explore how AI transforms data analytics by automating and streamlining every stage of the analysis process. Learn how AI tools support data collection, preparation, and organisation, making data ready for analysis. Explore use cases of how machine learning models can be trained or fine-tuned to uncover insights and patterns for more intelligent, data-driven decision-making, and learn about the key limitations and risks of these technologies when applied to data analytics.
AI in Economy and Finance: AI is transforming decision-making by enhancing information flows and providing valuable insights into economic trends, demand forecasting, market fluctuations, and prices. Through deeper competitor and consumer analysis, AI improves strategic resource allocation and offers new perspectives on business models. In finance, AI reshapes processes like forecasting, risk management, and trading. This theme combines critical analysis with practical experience to equip you with a clear understanding of the opportunities and challenges AI presents for management professionals in the economic and financial sectors.AI and Society: Examines the complex ethical, political, and environmental issues surrounding AI's role in transforming businesses, organisations, and public institutions and gain a comprehensive understanding of the nuanced and complex relationship between AI technologies and societal values. Through real-world examples, address critical topics such as transparency, explainability, autonomy, fairness, bias, security, and intellectual property, so that you are able to thoughtfully engage in discussions and decisions in settings where these technologies are actively deployed.
Capstone Project: Apply your knowledge, critical skills, and practical expertise to develop an AI-driven solution or investigate an organisational dilemma to address real-world challenges faced by organisations. This project emphasises translating theoretical insights into actionable strategies, allowing you to demonstrate and critically assess the value and impact of AI within a specific use case or industry context. The aim is to design a showcase project that emphasises the transformative potential of AI in organisational settings and highlights your knowledge to prospective employers.

Careers

Roles in management and AI are evolving and growing rapidly. Typical career destinations for graduates with skills in this area include:Managers in organisations that seek to develop responsible AI strategies and lead transformation projects involving the implementation and use of AI systems, such as Responsible AI Manager, AI Strategy Lead, and AI Governance Manager.
Digital transformation managers responsible for guiding companies through AI-driven organisational changes, such as AI Adoption and Change Analysts and AI Digital Transformation Leads.
Innovation managers focused on identifying and implementing AI-enabled business opportunities, e.g. AI and Innovation Portfolio Manager.
Management consultants specialising in AI and digital transformation. Job titles include Data and AI Strategy Manager and AI Advisory Consultant.
AI implementation advisors in sectors such as healthcare, financial services, manufacturing, retail and the public sector.

Program overview

Main Subject

Business and Management Studies

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This master's programme offers a practical and transformative learning experience that aligns with the rapidly evolving field of AI.

Programme content

The key themes covered in this programme are:

People, Work, and AI: Examine the transformative impact of AI on People Management and the nature of work and jobs, particularly in areas such as recruitment, talent development, employee engagement, job design, and productivity. Through critical assessment and hands-on practice, gain a nuanced understanding of AI's opportunities and risks for managing people and work in contemporary organisations.
Managing Change and AI: AI is reshaping industries and redefining work practices, making effective change management essential for organisations adopting these emerging technologies. You will explore the strategies and frameworks critical for implementing AI, ensuring smooth transitions, overcoming challenges, realising AI’s potential, and developing the skills to lead AI-driven change in dynamic and emerging organisational environments successfully.
AI in Data Analytics: Explore how AI transforms data analytics by automating and streamlining every stage of the analysis process. Learn how AI tools support data collection, preparation, and organisation, making data ready for analysis. Explore use cases of how machine learning models can be trained or fine-tuned to uncover insights and patterns for more intelligent, data-driven decision-making, and learn about the key limitations and risks of these technologies when applied to data analytics.
AI in Economy and Finance: AI is transforming decision-making by enhancing information flows and providing valuable insights into economic trends, demand forecasting, market fluctuations, and prices. Through deeper competitor and consumer analysis, AI improves strategic resource allocation and offers new perspectives on business models. In finance, AI reshapes processes like forecasting, risk management, and trading. This theme combines critical analysis with practical experience to equip you with a clear understanding of the opportunities and challenges AI presents for management professionals in the economic and financial sectors.AI and Society: Examines the complex ethical, political, and environmental issues surrounding AI's role in transforming businesses, organisations, and public institutions and gain a comprehensive understanding of the nuanced and complex relationship between AI technologies and societal values. Through real-world examples, address critical topics such as transparency, explainability, autonomy, fairness, bias, security, and intellectual property, so that you are able to thoughtfully engage in discussions and decisions in settings where these technologies are actively deployed.
Capstone Project: Apply your knowledge, critical skills, and practical expertise to develop an AI-driven solution or investigate an organisational dilemma to address real-world challenges faced by organisations. This project emphasises translating theoretical insights into actionable strategies, allowing you to demonstrate and critically assess the value and impact of AI within a specific use case or industry context. The aim is to design a showcase project that emphasises the transformative potential of AI in organisational settings and highlights your knowledge to prospective employers.

Careers

Roles in management and AI are evolving and growing rapidly. Typical career destinations for graduates with skills in this area include:Managers in organisations that seek to develop responsible AI strategies and lead transformation projects involving the implementation and use of AI systems, such as Responsible AI Manager, AI Strategy Lead, and AI Governance Manager.
Digital transformation managers responsible for guiding companies through AI-driven organisational changes, such as AI Adoption and Change Analysts and AI Digital Transformation Leads.
Innovation managers focused on identifying and implementing AI-enabled business opportunities, e.g. AI and Innovation Portfolio Manager.
Management consultants specialising in AI and digital transformation. Job titles include Data and AI Strategy Manager and AI Advisory Consultant.
AI implementation advisors in sectors such as healthcare, financial services, manufacturing, retail and the public sector.

Admission Requirements

TOEFL

87+

Bachelor GPA

3.3+

PTE Academic

58+

GMAT

580+

IELTS

6.5+

If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.

Program Duration

1 Year

Starting Month(s)

Oct

Tuition Fee

Domestic Students

Tuition Fee/year

16,270 GBP

Tuition Fee (Out of State)

International Students

Tuition Fee/year

27,300 GBP

Other Expenses

Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

Management and Artificial Intelligence MSc

Main campus, Lancaster,, United Kingdom

12 monthsProgram duration

27,300 GBPTuition Fee/year

YesScholarships

Business and Management StudiesMain Subject Area

Program overview

Main Subject

Degree

Study Level

Study Mode

Programme content

Careers

Program overview

Main Subject

Degree

Study Level

Study Mode

Programme content

Careers

Admission Requirements

Exam Scores

Important Dates

Tuition Fee

Tuition Fee

Domestic Students

International Students

Scholarships

Scholarships

In this guide you will find:

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