Master of Science [M.Sc] [Artificial Intelligence and Big Data] From Anglia Ruskin University

Academic Eligibility

• A first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject.
• In order for student to gain the full benefits from this advanced Masters course in AI, it is strongly recommended that you ensure that you have some basic programming knowledge of Python prior to the start of your course.

Other requirements

• If you have an unrelated honours degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, you may be considered on an individual basis. Applicants may be invited for interview to determine their suitability for the course.

Indian Student requirements

• A recognised pre-masters course

English Language Requirements

• If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 ( Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.

Cambridgeshire is home to companies that are looking for graduates with skills in machine learning and artificial intelligence techniques that the course will provide. We have chosen the modules for this course to ensure the curriculum reflects the modern trends in Artificial Intelligence. Each module gives student a glimpse into the workings of the IT industry and presents with topics that prepare you for entering the job market.

Following this course student may wish to apply their skills in a variety of job roles where there is a need for AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design or IT project management.

If student likes to continue his/her studies in research or further education, Anglia Ruskin offers a wide range of full-time and part-time postgraduate research degrees including MPhil or/and PhD in Computer Science, or even a DProf in Science and Technology.