8Jun
UndergraduateCourse summary
Get the postgraduate edge with an MSc in data science. As Artificial Intelligence and the Big Data revolution continue to grow, the need for data intelligence professionals is in more demand than ever. On this Master's in Data Intelligence course, you will undertake a holistic approach to Big Data as you study how to manage data for public good. Due to the demand for graduates who maintain interdisciplinary skills within humanities, mathematics, informational science, systems science, psychology, and economics, you will engage with a range of industry-led content that will enable you to extract, analyse, and visualise data. Not only will you grasp a solid understanding of AI, data in action, Big Data database development, and geographical information systems, you will also learn how to responsibly use this data, whilst taking legal, ethical, and social aspects into consideration. The need for graduates with a MSc in data science is vital – industry seeks data analysts who are responsive, enthusiastic, collaborative, creative, and logical, which this Master’s degree focuses on. Our MSc Data Intelligence with placement module offers a fantastic opportunity for you to gain professional work experience to complement your academic studies. This will introduce you to professional practice through workplace learning, which will enhance both your personal development and future employability.
Assessment method
You will be assessed by both coursework and computer based assessments. Essentially the programme is 100% coursework assessment. The coursework assessments will enable you to demonstrate the development of your key scientific and transferable skills. The placement can be either paid or unpaid, and is identified either by you or via the course team. All placements must be approved by the course team before they commence. The placement module will provide guidance on preparing, identifying and applying for placements/internships before the placement is undertaken during Trimester 3. Student Route visa students’ placements will require a minimum of 384 hours to a maximum of 480 hours throughout the Trimester (normally 32-40 hours over 12 weeks) to ensure visa compliance. All other students will require a minimum of 240 hours to a maximum 480 hours throughout the Trimester (normally 20-40 hours over 12 weeks). The weekly schedule and location are flexible in accordance with the student’s personal circumstances and the needs of the employer (External or Internal to University). On completion of the placement you will return to University for a further Trimester to undertake your final modules.
Entry requirements
You should be a digital and numerical literate graduate with a degree (2:2 or higher) in: STEM degree subjects or near STEM subjects (examples of near STEM subjects include: Economics, Informatics, Accountancy) Non-STEM degree subjects: if your degree is not related to STEM, you will also need an A level in maths.
English language requirements
For more information on the IELTS (International English language Testing System) requirements for this course, please click here to visit our dedicated IELTS web page.
English language requirements
https://www.canterbury.ac.uk/study-here/international/english-language-requirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please see course webpage for up to date fee information.
Provider information
Canterbury Christ Church University
North Holmes Road
Canterbury
CT1 1QU