Master of Science Data Science and Analytics (University of Chichester)
Course Information
Description
Introduction
The 1 year full time MSc course will be stimulating and interactive, making use of lectures, self-learning, workshops and hands-on projects. The project work we have imbedded within the course has been chosen and developed based on real-world scenarios across a range of industry and government sectors and is specifically designed to: :
- Provide an essential link between your theoretical learning and real-world challenges
- Create an environment where you decide the methods and tools best suited to the challenge based on what you have learnt
- Recreate some of the challenges facing industry and Government today and those very similar to what you will encounter in the workplace as a Data Scientist
- Be adaptable to reflect new methods / tools and scenarios in this fast-developing discipline
- Be able upon completion of the projects to reference your experience in working with such challenges
Entry Requirements
Academic Level:
- An honours degree at 2:2 or higher or
- A 2:2 or higher in an appropriate course with a B grade in Maths at A level or equivalent
- Achieve a GPA of 2.75/4.0 or 3.4/5.0 or equivalent
- *Other qualifications and working experience will be assessed by the University on a case by case basis.
Language Proficiency
- IELTS 6.5 (with none of the four components lower than 5.5) or equivalent
Remarks: Applicants should be at least 20 years of age at the time of registration.
Language Proficiency
- IELTS 6.5 (with none of the four components lower than 5.5) or equivalent
Remarks: Applicants should be at least 20 years of age at the time of registration.
Career Opportunities
Information not available
Modules
Course Delivery
This programme is available in full and part time modes, and will take 12 months to complete. Students will attend 3 semesters of academic study, and are expected to complete between 30 credits to 45 credits each semester. Full-time students will attend classes 5 days a week on weekdays, while part-time students will attend classes 2-3 times a week on weekdays/weekends.
Course Structure: UOC Master of Science Data Science and Analytics
Course Availability
Intakes for the programme are available 3 times a year. All applications should be submitted to ERCI no later than 1 month before the commencement date.
Assessment Framework
Courses are assessed by a combination of coursework, practical assignments and examinations. Formative assessments will also be included, as well as self- and peer-assessment and a research project.
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12 months
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Part-time
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12 months
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Full-time
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18 months
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Full-time
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12 months
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Full-time
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Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
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Full-time
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Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
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Part-time
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Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
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Full-time