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Master of Data Science

The University of Newcastle, Australia
Master of Data Science
Next enrollment cycle March 2024 See all cycles
First Year Fee KES 3,915,807
Course Accredited By NA
18 Months On Campus Postgraduate Degree

Indicative annual fees are based on a full year full time load (80 units). Advances in the scientific and technological sectors have caused an enormous explosion in the volume of data generated. As the volume and complexity of data increases, a workforce with skills and qualifications in data management and analysis will be in greater demand.

  •  In recent years, data scientist/analyst and related careers have been consistently ranked among the top jobs and most in-demand skills requested by employers.
  • The University of Newcastle's Master of Data Science will equip students with the essential professional skills and knowledge to understand and engage with a variety of data generated from diverse industries and settings. Graduates will learn how to manage, analyze, interpret, visualize and effectively communicate data. They will also learn how to use data to model real-word situations.
  • The program is professional in nature and industry oriented. Students will learn to understand and explore data using applied problem solving and computer practice. All learning will be underpinned by the required theoretical knowledge. The core courses cover foundation
  • AUD 38,495 (indicative annual fee, 2021)
  • 1.5 years full-time or part-time equivalent up to 5 years maximum.

Enrollment Cycles

  • March 2024
  • July 2024

Entry Requirements

Admission requirements

  • Students with a three year, Bachelor degree (AQF level 7) or higher in a different discipline area (also called non-cognate discipline) to data science and their chosen specialization are eligible to undertake the 120 unit program which can be completed in 2 years full time (commencing Semester 1), 1.5 years full time (commencing Semester 2) or up to 5 years part time. 
  • Students with a three year Bachelor degree (AQF level 7) or higher in a non-cognate discipline who also hold a minimum of five years demonstrable Recognized Prior Learning (RPL) in an area related to data science and/or their chosen specialization (also called cognate discipline) may be eligible to study between 80 and 120 units, inclusive.
  • Students with a three year Bachelor degree (AQF level 7) or Bachelor (Honours) (AQF 8) in a cognate discipline to data science and/or their specialization may be eligible to study between 80 and 120 units, inclusive.
  • Students with a Graduate Certificate or Graduate Diploma (AQF level 8) in a cognate discipline to data science and/or data analytics may be eligible to undertake an 80 unit program which can be completed in 1 year full time or part time equivalent.

Minimum English language proficiency requirements

  • All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.

     

Core Courses - Complete the following core courses.

  • Databases and Information Management
  • Big Data
  • Data Wrangling and Visualization
  • Predictive Analytics


     

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