February and July Intakes
[CLOSED] This post is no longer validDevelop advanced skills in data analytics, machine learning, statistical modelling, and big data systems to solve complex real-world problems.
🌍 Program of the Week: Master of Data Science
🕒 Duration: 2 years (February & July intakes)
💵 2026 Fees: approx. AU$52,000 per year
🎖 Scholarships: Up to AU$12,000 per annum (eligibility-based)
💻 Develop advanced skills in data analytics, machine learning, statistical modelling, and big data systems to solve complex real-world problems.
🧠 Gain hands-on experience through an industry-linked capstone project or research dissertation.
🎓 Graduate prepared for careers as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Consultant, and more across tech, finance, health, mining, and government sectors.
Click on the link:
https://dziseldra.com/consultutm_source=website&utm_medium=scholarship&utm_campaign=vevs_campaign1
Contact Details
Develop advanced skills in data analytics, machine learning, statistical modelling, and big data systems to solve complex real-world problems.
SUBSCRIBE NOW
Join Dziseldra today at just Nu. 99/month OR Nu 299 for a year and unlock a world of convenience, empowerment, and endless possibilities. Don't let opportunities slip through your fingers – seize them with Dziseldra!
Subscribe OR I Already SubscribedIf you can read this, we know you are smart enough, but please don't be pathetic enough to use the service and not be able to pay Nu. 99:))) Donec et orci aliquet nisl suscipit molestie sed sit amet tortor. Duis vel urna ac mi sollicitudin lacinia mollis sit amet lorem. Sed finibus erat nec libero scelerisque fringilla. Morbi at orci sed urna vulputate vulputate. Nulla facilisi.
Donec et orci aliquet nisl suscipit molestie sed sit amet tortor. Duis vel urna ac mi sollicitudin lacinia mollis sit amet lorem. Sed finibus erat nec libero scelerisque fringilla. Morbi at orci sed urna vulputate vulputate. Nulla facilisi.
Donec et orci aliquet nisl suscipit molestie sed sit amet tortor. Duis vel urna ac mi sollicitudin lacinia mollis sit amet lorem. Sed finibus erat nec libero scelerisque fringilla. Morbi at orci sed urna vulputate vulputate. Nulla facilisi. Om ah hum baza guru pema sidi hum. Hum ugyen yul gyi nub jam tsham. Pema gyesar dongpola. yamtshen chen gyi ngedup nye. Pema Jungney Zhesu drag. Khordu Khando mangpe Kor. Choeki jesu dadrup ki. Jingyi lobchir shegsu sel. Guru pema sidi hum.
Contact Details
STUDY ABROAD
Explore your destination with VEVS Global Bhutan
Dziseldra users
