Master of Business Analytics

La Trobe University

Master's degree

Study Discipline: Business Administration

Study Programme Details

City: MELBOURNE

Country: Australia

Admission Sessions: Autumn Session, Spring Session

Study Format: Full Time

Mode of Study: Fully on Site

Programme Type

Master's degree

Duration

24 Months

Scholarship Available

Yes

Language

English

About this Study Course

Elevate your career with La Trobe’s accredited Master of Business Analytics, a strategic investment in your professional journey. Stay at the forefront of industry trends as you gain advanced expertise in business, programming, and data engineering. Immerse yourself in this dynamic and fast-paced field, updating your knowledge to meet the evolving demands of the business analytics industry.

Overview

Embark on a practical learning journey, taking your career to new heights with the latest tools taught by industry experts. Master industry-standard programs such as SAS, PowerBI, IBM Cognos, Excel, SQL, and R. Develop data-based solutions for real-world business challenges and choose a specialization that aligns with your interests, including artificial intelligence, data science, digital health, and more. Showcase your expertise on your academic transcript, providing prospective employers with tangible evidence of your specialization.

Admission Requirements

Embark on this transformative journey by meeting the program’s admission requirements: Successful completion of an Australian bachelor’s degree (or equivalent), and applicants with relevant experience or a cognate degree may be eligible for advanced standing. Achieve an IELTS (Academic) score of 6.5 with no individual band less than 6.0.

CLOUD PLATFORMS AND ANALYTICS
CUSTOMER ANALYTICS AND SOCIAL MEDIA
DATA WRANGLING
PREDICTIVE ANALYTICS
PRINCIPLES OF BUSINESS ANALYTICS

A$37 200 per 120 credit points.

Future Career Outcomes

As a graduate, anticipate a spectrum of rewarding career outcomes, from becoming a sought-after Data Scientist or Business Intelligence Analyst to exploring roles as a Machine Learning Engineer, Analytics Consultant, or Quantitative Analyst. Your expertise will be pivotal in shaping the future of data-driven decision-making.