Content
The course is designed to give you transferable knowledge, skills and approaches that support advanced information management roles and complement a range of wider management responsibilities.
The optional modules listed are those that are most likely to be available, but they may be subject to change.
You'll study the following core modules:
- Information and Digital Literacy (15 credits) - Investigating theories for assessing and using information resources, along with those on how to teach digital literacy skills and a study of the range of digital tools available for personal information management.
- The Information Professional: Contexts and Competencies (30 credits) - This module provides you with a comprehensive overview of the key issues facing information services in different contexts, alongside practical skills sessions to develop your competency. This includes systematic literature searching, presentation skills and digital capability relevant to your career aspirations.
- Knowledge Organisation (30 credits) - Essential practical skills, including metadata, mark-up and classification, and current issues in digitisation, digital collection management and digital curation.
- Information Services: Planning and Provision (15 credits) - This module will prepare you for understanding and developing management skills relevant to information services provision. Topics include strategic planning, project management, change management, marketing and advocacy.
- CSCT Masters Project (60 credits) - This is the most significant single piece of work on the MSc. It gives you the opportunity to develop deep knowledge and expertise in a cutting-edge area within your specialism, and to improve your performance on a variety of employability skills, including creative problem solving, negotiation and communication. The project is your own to steer and develop, but you'll have an experienced supervisor to help you develop a suitable and manageable proposal and to progress from concept to execution and evaluation.
Plus two optional 15 credit modules from:
- Big Data
- Business Intelligence and Data Visualisation
- Data and Information Governance
- Designing The User Experience
- Knowledge Management
- Social Media and Web Science.
Please note this structure is for the full-time course delivery only. For part-time delivery, you'll study the same modules but the structure will differ.
The University continually enhances our offer by responding to feedback from our students and other stakeholders, ensuring the curriculum is kept up to date and our graduates are equipped with the knowledge and skills they need for the real world. This may result in changes to the course. If changes to your course are approved, we will inform you.
Learning and Teaching
You'll learn through lectures, discussions, tutorials, practical exercises and independent reading, as well as working together in small groups.
The course has a virtual learning environment online that supports you throughout your studies. It's a useful way to communicate with fellow students and teaching staff, find administrative details about the modules, and access course materials.
We regularly welcome specialist tutors to the department to contribute to specific modules.
For more details see our full glossary of learning and teaching terms.
Study time
Full-time: one year - starting in September.
Part-time: two years - starting in September.
Teaching sessions are normally on Tuesday and Wednesday afternoons and evenings, with two modules timetabled on each day. Full-time students attend on both days and study four modules in each 12-week semester, over one year. Part-time students attend on one of these days and study two modules per 12-week semester over two years.
While work on modules may not be evenly distributed, full-time students should expect to commit the equivalent of two days a week for private study during term time. Part-time students should commit one day.
Assessment
Assessment in most modules is through written coursework, portfolios, presentations and written exams. The supervisor and second marker will assess your dissertation.
For more details see our full glossary of assessment terms.