MSc Information Management

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

This professionally accredited course has been developed in close consultation with industry practitioners and professional bodies and is equally suitable for those who are new to the subject and also those looking to enhance their existing knowledge and gain a professional qualification.

Core subjects include business systems analysis, data analytics, strategy, information law and an introduction to cutting-edge technologies. This is the only dual-recognised information management degree providing graduates with direct entry to two internationally-affiliated professional bodies.

Accreditation

The MSc Information Management is professionally accredited by the Chartered Institute of Library and Information Professionals (CILIP) and further recognised by the Chartered Management Institute (CMI).

Graduates are entitled to become associate members of CILIP and are eligible for chartership leading to the award of MCLIP. Graduates are also entitled to associate membership of CMI (ACMI) and can progress to Member grade (MCMI) and finally Chartered manager.

Careers

Our highly skilled graduates are employed in a variety of roles across a wide range of industries. Among these roles are:

  • Business Analyst
  • Data Analyst
  • Database Administrator/Analyst (DBA)
  • Enterprise Architect
  • Information Security Manager
  • IT Test Manager
  • Web Developer
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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Project Management (20 credits)
  • Information Law (10 credits)
  • Information Retrieval (10 credits)
  • Big Data Technologies (20 credits)
  • Database & Web Systems Development (20 credits)
  • Research Methods (10 credits)
  • Business Analysis (10 credits)
  • Machine Learning for Data Analytics (20 credits)
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs