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MS in Applied Statistics

Macquarie University, Sydney

Masters Program

Applied Statistics ,

Department of Mathematics and Statistics

Overview

MS in Applied Statistics at the prestigious Macquarie University, Sydney is an opportunity for students to enhance their knowledge, skills, and career through innovation and research. Being a renowned university, Macquarie University, Sydney receives enough funds to ensure the best education facilities for its students across all programs.

This post-graduate program offered on a full time basis has a well-designed curriculum that perfectly blends theory and practical learning. It prepares the students for their professional life to reach new heights of success.

MS in Applied Statistics at MQ is ranked globally by estimated organisations. Such recognition speaks volumes about the course’s importance and effectiveness in the present scenario.

The top-notch faculty, modern facilities, and the aura of creativity and innovation in the MQ campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers. Overall, a MS in Applied Statistics at Macquarie University, Sydney is an excellent opportunity to grow into a learned professional and bring new developments in the world.

Course Highlights

Program duration

24 Months

Degree type

Mathematics and Statistics

Course credits

160


Delivery type

Full time

Delivery medium

On Campus


Tuition fees

waived flag Fees mentioned may differ from the actual amount.

Annual tuition fees

A$40,800

Full course fees (24 months)

A$81,600

Application Fee

NA

Deadlines

Application Deadline Term 1 (Final Deadline)

Feb 06, 2023

Application Deadline Term 2 (Final Deadline)

Jul 10, 2023

Pre-Requisities

Application pre-requisites

  • Application Form
  • Transcripts
  • Passport
  • English Language Proficiency

Test score requirements

Minimum English Scores

TOEFL

83

PTE

58

IELTS

6.5

Students

1

Yocketers applied

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1

Yocketers admitted

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1

Yocketers interested

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Yocketer profiles

Vk

Vk

Business Analytics

dot

Fall 2021

Akash Agrawal

Akash Agrawal

Computer Science

dot

Fall 2021

Akash Agrawal

Akash Agrawal

Computer Science

dot

Fall 2021

Poorvi B.Prakash

Poorvi B.Prakash

Computer Science and Engineering

dot

Fall 2020

Shams_Abbas Naqvi

Shams_Abbas Naqvi

Civil Engineering

dot

Fall 2019

Course Details

Core subject areas

  • Generalized Linear Models
  • Multivariate Analysis
  • Statistics Project
  • Modern Computational Statistical Methods
  • Statistical Graphics


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