Canterbury Christ Church University MSc Data Intelligence دراسة Canterbury Christ Church University في

MSc Data Intelligence

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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. MSc Data Intelligence with placement Our MSc Data Intelligence with placement offers a fantastic opportunity for you to gain professional work experience to complement your academic studies by undertaking an approximately 12 week placement during your course. This will introduce you to professional practice through workplace learning, which will enhance both your personal development and future employability.

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Canterbury Christ Church University

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£17,000.00 (US$ 21,954) سنوياً
Accommodation - Initial GBP 115 pre-payment online.

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متوقع سبتمبر 2027

مكان عقــد الدورة

Canterbury

N Holmes Rd,

Canterbury,

Kent,

CT1 1QU, Southern England, United Kingdom

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للطلاب الدوليين

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.

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