Eligibility Requirements for La Trobe Master of Business Analytics
Successful completion of an Australian bachelor's degree (or equivalent).
Admission may be granted to applicants without an undergraduate degree but with five or more years of relevant work experience. In making an offer to an applicant, the university may consider a range of factors including English proficiency, academic record, and employment experience.
Selection criteria
- Applicants with relevant experience and/or a cognate degree may be granted advanced standing.
6.5 IELTS (Academic) with no individual band less than 6.0.
Please refer to our English Language Requirements page for details of other accepted English Proficiency tests and additional recognized English Language Proficiency Measures, such as English as the language of instruction.
La Trobe Master of Business Analytics Program Description
Globally, the amount of data generated, collected, and used increased from 2 zettabytes to an astounding 64 zettabytes between 2010 and 2020. (A zettabyte, or one with 21 zeros after it, is about one trillion gigabytes.) Amazingly, by 2025, we're expected to nearly triple that amount once more, reaching over 180 zettabytes. With unparalleled access to big data, businesses all over the world are looking for knowledgeable analysts who can turn unstructured data into useful business solutions.
The approved Master of Business Analytics from La Trobe will keep you abreast of developments if you're eager to invest in your profession. As you advance in this ever changing profession, develop advanced business, programming, and data engineering abilities and update your expertise.
Program URL:https://www.latrobe.edu.au/courses/master-of-business-analytics
La Trobe Master of Business Analytics Program Curriculum
- ACADEMIC INTEGRITY MODULE
- CLOUD PLATFORMS AND ANALYTICS
- CUSTOMER ANALYTICS AND SOCIAL MEDIA
- DATA WRANGLING AND R
- PREDICTIVE ANALYTICS
- PRINCIPLES OF BUSINESS ANALYTICS
- VISUAL ANALYTICS
- ACADEMIC INTEGRITY MODULE
- CLOUD PLATFORMS AND ANALYTICS
CUSTOMER ANALYTICS AND SOCIAL MEDIA
DATA WRANGLING AND R
PREDICTIVE ANALYTICS
PRINCIPLES OF BUSINESS ANALYTICS
VISUAL ANALYTICS
Specialization
- Data Science
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