| Program start date | Application deadline |
| 2023-09-01 | - |
| 2024-09-01 | - |
Program Overview
The MSc Data Intelligence program at Canterbury Christ Church University equips graduates with the skills and knowledge to excel as data intelligence professionals in the era of big data and artificial intelligence. The program emphasizes an interdisciplinary approach, drawing upon knowledge from various fields, and utilizes the innovative CDIO method for project-based learning. Graduates are well-prepared for diverse career opportunities in various sectors, including charities, commercial organizations, government ministries, and data science roles.
Program Outline
Degree Overview:
Master of Science in Data Intelligence (MSc Data Intelligence)
This program equips graduates with the skills and knowledge to excel as data intelligence professionals in the era of big data and artificial intelligence.
Objectives:
- Develop a holistic understanding of data management and its role in public good.
- Master data analysis techniques, including extraction, visualization, and interpretation.
- Gain expertise in AI, big data database development, and geographical information systems.
- Develop responsible data usage practices, considering legal, ethical, and social implications.
- Nurture essential professional skills, including responsiveness, collaboration, creativity, and logical thinking.
Program Description:
The MSc Data Intelligence program emphasizes an interdisciplinary approach, drawing upon knowledge from humanities, mathematics, information science, systems science, psychology, and economics. Students engage with industry-led content, fostering practical skills.
Unique Features:
- Employs the innovative CDIO (conceive, design, implement, operate) method for project-based learning.
- Offers an optional placement year for immersive industry experience.
- Co-designed with IT professionals ensuring industry relevance and alignment with current job market demands.
Outline:
Content:
The program delves into various data-related topics, including:
- Data principles
- Data in action
- Geographical information systems (GIS) and spatial analysis
- Big data database development
- Legal, ethical, and social aspects of data use
Structure:
The program consists of core modules and optional modules. Core modules provide a strong foundation in data intelligence, while optional modules allow students to specialize in specific areas of interest.
Course Schedule:
The program typically involves a blend of online and face-to-face learning.
- Data in Action (20 credits) - Exploration of data in context, focusing on societal benefits.
- GIS and Spatial Analysis (20 credits) - Mastery of GIS tools and techniques for spatial data analysis.
- AI for Data Intelligence (20 credits) - Understanding and application of AI in data analysis.
Assessment:
Assessment relies on coursework assignments, including:
- Computer lab reports
- Logbooks
- Online quizzes
- Written reports and essays
- Presentations
- Portfolios Feedback is provided through various channels, including rubrics, written comments, audio recordings, and face-to-face discussions.
Teaching:
The MSc Data Intelligence program utilizes a blend of teaching methods:
- CDIO methodology: focuses on project-based learning, encouraging active participation and collaboration.
- Lectures and workshops: delivered by experienced faculty with industry connections.
- Open source and cloud-based resources: providing access to industry-standard software tools.
- Digital Learning Environment: combines online and on-campus learning with Blackboard, online discussions, and digital tools.
Careers:
Graduates of the MSc Data Intelligence program are well-prepared for diverse career opportunities in various sectors, including:
- Charities and non-profit organizations: leveraging data for targeted campaigns and revenue generation.
- Commercial organizations: identifying business opportunities, trends, and decision support.
- Government ministries: improving healthcare, public health, and social care policies.
- Environmental agencies: addressing environmental challenges and prioritizing key areas.
- Data Science roles: focusing on virus spread, risk factors, and solutions.
- Online retail data architecture: optimizing data analysis models for revenue and business improvement.
Other:
- The program is responsive to the growing demand for professionals with interdisciplinary data intelligence skills.
- Graduates benefit from membership in the Graduate College, fostering ongoing academic and professional development.
- The program actively promotes responsible and ethical data utilization practices.
- The program is delivered in a modern learning environment, utilizing advanced technologies and open-source software.
- Applicants must have a STEM or near-STEM degree with a minimum 2:2 classification.
2024/25 tuition fees for this course without placement year UK Overseas Full-time £9090 £15,500 Part-time £4,545 N/A 2024/25 tuition fees for this course with placement year Mode of Study Fee Status Standard PGT Fee Placement Year Fee Total Fee Full Time Home £9090 £850 £9940 Full Time Overseas £15,500 £850 £16,350 Part Time Home £4545 £425 £4970 Part Time Overseas £7750 £425 £8175
Canterbury Christ Church University
Overview:
Canterbury Christ Church University is a public university located in Canterbury, Kent, England. It offers a wide range of undergraduate, postgraduate, full-time, part-time, apprenticeship, and short courses designed to meet real-world needs. The university is known for its commitment to providing a transformative education that changes lives and shapes sustainable futures for its community.
Services Offered:
Student Life and Campus Experience:
The university emphasizes the importance of student life and experience. It provides opportunities for students to join a community, engage in various activities, and develop their skills. The university also offers support services to help students succeed in their studies.
Key Reasons to Study There:
High graduate employment rates:
Canterbury Christ Church University is ranked No. 1 in the UK for graduates in employment, with 3,000 or more graduates.Focus on real-world needs:
The university's courses are designed to meet the demands of the modern workforce.Transformative education:
The university believes in the power of education to change lives and shape sustainable futures.Strong community:
The university fosters a welcoming and supportive community for its students.Academic Programs:
The university offers a wide range of academic programs across various subject areas. These programs include undergraduate, postgraduate, full-time, part-time, apprenticeships, and short courses.
Other:
- The university has been awarded a Silver rating in the Teaching Excellence and Student Outcomes Framework (TEF).
- The university is actively involved in promoting diversity and inclusion, with initiatives like Black History 365 and Black on the Square.
- The university has a strong focus on research and innovation, with academics contributing to various fields.
Entry Requirements:
EU Home Students:
- A 2:2 or higher degree in a STEM (Science, Technology, Engineering, and Mathematics) field or a near STEM subject like Economics, Informatics, or Accountancy.
- If your degree is not related to STEM, you will also need an A level in maths.
International Overseas Students:
- The same requirements as EU Home Students apply.
- Additionally, international students must meet the IELTS (International English Language Testing System) requirements:
- Overall score of 6.5 with a minimum of 6.0 in each component.
- Applicants who meet the above requirements can join the program without any pre-sessional English courses.
- Applicants with an overall score of 6.0 can join the program after completing a pre-sessional English course.
Language Proficiency Requirements:
- International students must meet the IELTS (International English Language Testing System) requirements mentioned above.
Additional Considerations:
- The Entry Requirements section also mentions that the course has been co-designed with IT professionals across the UK and Europe. This indicates that applicants may also benefit from having some prior experience or exposure to the IT field.
- The program focuses on developing industry-relevant skills and knowledge for careers in data science. applicants who are passionate about data analysis, visualization, and AI would be well-suited for this program.
