How good is university of Liverpool for MS in Business Analytics?

Asked by Pranit over 2 years ago

1 Answer
Steven Mizell

Steven Mizell

Student Athlete

Master of Science in Business Analytics and Big Data at the University of Liverpool is a 12 months

program.

It is an on-campus program offered on a full-time basis.

This program is also offered on a part-time basis for a duration of 2 years.

The program consists of 5 compulsory modules and 3 optional modules followed by the Main Project over

the summer period on completion of Semester 2.


Students are required to complete 180 credits to achieve a full MSc.

The program explores the wider application of big data to all business functions and the creation of new

business models.

Academic Eligibility:

Students will require a 2:1 Honours degree in management, engineering, science, or related disciplines or

international equivalent.

Students also study Physics, Mathematics, Computing, Engineering, Management, or related disciplines

at 2:1 standard from a UK university, or equivalent academic qualification from a similar non-UK

institution.

Non-graduates with very extensive professional experience and/or other prior qualifications may also be

considered. 

eligibility criteria:

Students should successfully complete the examinations at standard X and XII (Higher Secondary School

Certificate) with minimum marks of approximately 70 to 85%, according to the course and exam board.

All the programs are between the range of English A level grades of AAA – BBB.

70% or above STD XII awarded by ISC, CBSE, or other State Boards (when education has been

completed in English medium).

Students should complete a Bachelor's degree from a recognized university with minimum first division

(high second division from some universities).

Along with the minimum eligibility requirements, international students hailing from non-English speaking

countries need to prove English proficiency through IELTS/TOEFL/PTE or any equivalent test to get

admission to this program

 


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