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  • Master of Data Science (Professional)

Master of Data Science (Professional)

Deakin University

Australia

221 Burwood Highway BURWOOD Victoria 3125

Overview

The Master of Data Science (Professional) is designed to extend the specialised skills obtained in the Master of Data Science by providing you with the opportunity to undertake a period of industry-based learning or a research project under the supervision of our internationally-recognised staff.

 

You will also have the opportunity to hone your skills is a specialisation of your choosing, with options ranging from cyber security to blockchain and software development, networking and cloud technologies to AI and more.

 

You will develop expert knowledge of the technical aspects of data science as well as in-depth skills in your chosen area of specialisation.

Study Option

  • Tuition Fees
  • Duration104 Weeks
  • Intake08 July 2024
  • Study TypeOnline & Campus
  • Campuses Deakin University
    Victoria ( Inc. Melbourne )
    221 Burwood Hwy, BURWOOD, Victoria 3125

Course Structure

To complete the Master of Data Science (Professional), students must attain 16 credit points. Full-time students’ study 4 credit points per trimester, and usually undertake two trimesters each year.

 

The course is structured in three parts:

  • Part A. Core Data Science Studies (8 credit points),
  • Part B. Specialisation (4 credit points) or course electives (4 credit points), and
  • Part C. Professional Studies (4 credit points)

 

The three parts comprise the following:

  • eight (8) credit points of core units,
  • four (4) credit point specialisation, or four (4) credit points of course electives (level 7 SIT or MIS coded units) (excluding SIT771, SIT772, SIT773 and SIT774)
  • four (4) credit points of professional units
  • completion of DAI001 Academic Integrity Module Module (0-credit-point compulsory unit)

Career Outcomes

In fiercely competitive markets where businesses are constantly striving to increase profit, reduce costs and provide exceptional customer value, the requirement for skilled data professionals is growing at a rapid pace. Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.

Academic

Bachelor’s degree in a related discipline, OR Bachelor’s degree in any discipline and two years relevant work experience OR Graduate Certificate of Information Technology OR Evidence of acade

Entry Requirement

IELTS: Overall 6.5 No band lower than 6; TOEFL IBT: 79 Writing 21; TOEFL PBT: 577 Writing 4.5; CPE: 176 No band less than 169; CAE: 176 No band less than 169; PTE: 58 No less than 50 in each skill; OET: Overall C+; DUELI EAP PROGRAM: EAP 4 (60%)

 

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