Master of Philosophy in Management

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time
Duration 2 years
Intakes January, June
Tuition (Local students) $ 5,275
Tuition (Foreign students) $ 5,819

About

This course programme is established in hopes that students will be equipped with the knowledge and applied skills in data science, data analytics and business intelligence. From here, students can also plan on building their analytical and investigative knowledge and mould their interpretation skills to a whole new level. However, it is always hoped that students will also be able to comprehend the impact of data science through modern processes and business, and other aspects that will be exercised in this course.

Admissions

Intakes

Fees

Tuition

$ 5,275
Local students
$ 5,819
Foreign students

Estimated cost as reported by the Institution.

Application

$ 31
Local students
$ 146
Foreign students

Student Visa

$ 502
Foreign students

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Entry Requirements

  • Bachelor’s degree in related field with minimum CGPA of 2.75 or equivalent as acceptable by the Senate.

  • Bachelor’s degree in a related field not meeting CGPA 2.75 but above CGPA 2.50 in related field; can be accepted provided that candidates have at least 5 years of working experience in a relevant field.

Curriculum

Students who are involved in the MPhil programme can attempt at converting their MPhil into a Ph.D. candidate if they can fulfil the following criteria:

  • Demonstrate positive progress in their research project
  • Capable of showcasing promising research project that can be expended to a Ph.D. level
  • Able to succeed a prepared assessment

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