MSc Data Analytics and Technologies
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98.2%
Completion Rate
90.1%
Course Pass Rate
95%
Submission Rate
88%
Student Satisfaction
Tuition
Check with the authority
Number of Installments
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Duration
18 Months
Pedagogy
Online
What makes our business school different?
Proudly rooted in Cardiff, UK, our officially registered business school extends its reach with accredited UK distance learning, bringing world-class education to the dynamic landscape of the thriving UAE. As a flourishing business school, we distinguish ourselves with a unique mix of online and on-campus programs. Experience world-class education at the intersection of Cardiff excellence and Middle East dynamism.
UK Accredited Programs
Low Fees
100% Assignment Based
Easy Payment Structure
Graduate In UK
Dual Qualifications
This innovative and dynamic MSc in Data Analytics and Technologies offers you the opportunity to develop key employability skills and expertise so you can interrogate and make sense of data, unlock vital insights and communicate your discoveries. Combining focused study in data analytics and technologies with essential training to develop the highlevel transferable skills needed for career success, this course allows you to become the master of your own career development.
Course Highlights
This course offers you the opportunity to develop extensive knowledge of data analytics and
a broad grounding in technology solutions, coupled with essential skills development for business and leadership. Together these attributes will take your CV to the next level.
This course offers you the opportunities to develop extensive knowledge of the key data analysis principles and methods, along with a broad grounding in technology solutions.
This course offers opportunities for industry master class and lectures, ¡oint pro¡ects, and networking.
You should have at least a lower second class (2.2) honours degree (or equivalent) in a computing-related sub¡ect or five years of relevant work experience.
If English isn't your first language, you'll also need IELTS 6.0 with no less than 5.5 in any band (or equivalent). We also accept a range of other English language qualifications.
- Data Science - 30 credits
- Big Data Technologies - 30 credits
- Solutions Design and Ethical Practice - 30 credits
- Research Methods - 30 credits
- Masters Pro¡ect - 60 credits
Advanced entry pathways are available for individuals who possess:
- Experience at Executive Level, OR a Diploma/ Higher Diploma / HND / Part or full professional qualification from a recognized institution
- Depending on experience and qualifications, advanced entry options are open for 18 months, 15 months, 13 months or 9 months to complete the degree.
- Please speak to our advanced entry Counsellors: +971555165307 (WhatsApp)
Learning and teaching methods apply a blended style. This may include lectures, seminars, tutorials and critiques,self-directed learning, e-learning and laboratory/workshop sessions, as well as online sessions and support. Practical skills are acquired through technical introduction and support, workshop sessions, demonstrations and activity-based assignments. Active learning is promoted with a strong practical theme, throughout.
For applicable tuitions, please, contact with the KIMT admission authority. Tuitions are due in full with enrolment for the complete programme
