M.Sc in Artificial Intelligence and Big Data

Anglia Ruskin University

Cambridge, Cambridgeshire, UK
M.Sc in Artificial Intelligence and Big Data
Duration1 Year
LevelMasters Program
  • Students can broaden their expertise through the use of Artificial Intelligence (AI) techniques. In a world reliant on data to improve processes and monitor success, this course will help them gain transferable skills in AI to benefit their workplace. This course was designed in response to the high demand for experts in big data analysis and modeling
  • This course is designed to build on the skills of computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis, to improve and create better systems in their industries, expanding knowledge of machine learning and enabling technologies
  • Businesses also have the opportunity to present students on this course with their real-life problems through attending as a guest lecturer
Fees componentsAmount
Tuition & fees1430022 INR
Hostel & Meals409230 INR
Placement fee63387 INR
Total472617 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
Bachelors50.0%
  • A first degree, with honors, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject
  • If the applicant has an unrelated honors degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, the applicant may be considered on an individual basis. Applicants may be invited for an interview to determine their suitability for the course.
  • If the applicant is applying to any postgraduate course they must hold one of the following:
    • 3-year Bachelors or 4 years Bachelor Engineering or Technology, minimum division 2 (50% - 59%) in relevant subjects
    • a recognized pre-Masters course
ExamsIELTS: 6.5
  • Overall 6.5 in IELTS with nothing lower than 5.5 in any of the four elements (listening, speaking, reading and writing)

PTE: 61
  • PTE with 61 overall and a minimum of 51 in all components

Additional info
  • It is strongly recommended to ensure that students must have some basic programming knowledge of Python prior to the start of this course.
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