MSc Artificial Intelligence & Technology Leadership / Postgraduate

MSc Artificial Intelligence & Technology Leadership

As technology progresses, the need for skills in AI and a data-driven economy rises. Our MSc Artificial Intelligence & Technology Leadership has been designed to assist students in investigating, identifying and implementing technological strategetic solutions in a digital world.

Summary

Award:	MSc Artificial Intelligence & Technology Leadership
Location:	St Katharine Docks & The City, London
Study mode:	Full-time or part-time
Duration:	One year (FT) or two years (PT)
Start date:	6 January 2025
Tuition fees for January 2025 cohort:	Home: £11,385 (FT) /£5,695 (PT) International: £14,490 (FT) / £7,245 (PT)
Tuition fees for 2025/2026:	Home: £11,900 International: £24,900
Funding for January 2025:	Home Students £1,000 for all accepted students, reducing tuition fees to £10,385. Plus £750 for all students who submit their application by 15 October 2024, further reducing tuition fees to £9,635. Postgraduate master’s loan funding up to £12,167. International Students £1,500 for all accepted students, reducing tuition fees to £12,990. Plus £750 for students who submit their application by 15 October 2024, further reducing tuition fees to £12,240.
Timetables:	Click here
Your Qualification:	Click here
Programme Specifications:	Click here

Why Choose our MSc Artificial Intelligence & Technology Leadership?

Obtain skills in IT leadership and management, as well as IT strategy, data analysis, business process and IT project management.
Develop knowledge and skills in both the technology leadership and the people side of technology-triggered change.
Investigate business data requirements and apply data selection, data curation, data quality assurance and data investigation techniques
Culminates in the research, preparation and written and verbal communication of a 10,000-12,000-word interdisciplinary dissertation, conducted under the supervision of a member of faculty.
Builds a critical and practical understanding of how AI and data management are beneficial to the development of business.
Offers the opportunity to stay and work in the UK for up to two years after graduation via the Graduate Route Visa (Post Study Work).
Unlocks alumni discount for further educational programmes across the Northeastern University global campus network.

Introduction

Our MSc Artificial Intelligence & Technology Leadership will enable students to acquire the skills needed to lead in an AI and data-driven economy by investigating, identifying and implementing technological strategic solutions. Students may wish to pursue or progress their career in IT leadership and this course gives them the skills needed to lead in a digital world. Students will study IT leadership and management, as well as IT strategy, data analysis, business process and IT project management. Read more

By studying this programme, learners will gain an in-depth understanding of the statistical and mathematical foundations of data analytics and obtain the knowledge and skills required to lead the application of digital transformation and data analytics in real-world and business contexts. This programme allows students to build knowledge and skills in both the technology and the people side of technology-triggered change.

Students will learn how to investigate business data requirements and apply data selection, data curation, data quality assurance and data investigation techniques. They will gain the skills to help businesses to most effectively organise their data, present data and investigation results along with compelling business opportunities reports to senior stakeholders.

Suitable for recent graduates and for those looking to retrain or restart careers, the MSc Artificial Intelligence & Technology Leadership provide an ideal pathway for those aspiring to further their careers in leading digital transformation initiatives in the AI and data-driven business environment. Students will have the opportunity to further their career opportunities from day one of the programme by gaining professional skills and competencies as they progress.

We welcome learners from all backgrounds and are committed to lifelong learning, pastoral support and to providing routes into digital careers for all graduates, especially those from groups that are currently underrepresented in the technology sector. Employers need to build teams with a diversity of thought and experience because this is both a critical factor in innovative thinking within teams and will facilitate the delivery of solutions applicable to an inclusive society.

Structure

The University’s MSc Artificial Intelligence & Technology Leadership is a 180-credit programme. Read more

Each course, typically 15 or 30 credits, is assessed by a range of activities aligned to industry norms, meaning that almost all assessments align with typical activities that are expected in a data-related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses.

The programme culminates with the production of a dissertation of 10,000-12,000 words, which is worth 60 credits.

Teaching

Courses will be taught in lectures, seminars, labs, drop-in sessions/office hours and through one-on-one tutorials. Read more

The dissertation will involve independent research under supervision from a Faculty member.

Part-time study

The Masters programme can be taken part-time over two years. Part-time students attend the same classes as their full-time colleagues, taking 50% of the course load each academic year. Read more

Our Masters programmes are demanding and we advise students that, if they intend to work alongside the course, their work should be flexible in nature. However, we will work with students, where possible taking into account their individual circumstances and need, to be flexible with our provisions.

Assessment

Summative assessment for the MSc Artificial Intelligence & Technology Leadership will be by a range of methods to ensure students have the opportunity to demonstrate their abilities and achievements. Students will also be assessed on a dissertation of 10,000-12,000 words.

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