Entry requirements

All Applicants will need to:

  • Submit an online application
  • Submit a statement of purpose (500–1000 words): Identify your educational goals and expectations of the program. Please be aware that Northeastern University’s academic policy on plagiarism applies to your statement of purpose.
  • Upload a professional resumé
  • Provide unofficial undergraduate transcripts; official transcripts required at the time of admission
  • Provide two letters of recommendation from individuals who have either academic or professional knowledge of your capabilities such as a faculty member, colleague, or mentor, preferably one from your current employer.

Months of entry

January, September

Course content

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.

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 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 by 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.

Fees and funding

UK students
International students

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details