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Students
Tuition Fee
Start Date
Medium of studying
Fully Online
Duration
15 months
Program Facts
Program Details
Degree
Diploma
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
About Program

Program Overview


The Graduate Diploma of Data Science (Applied) is a one-year online program that equips students with the skills to apply data science principles effectively in their field. Graduates gain a deep understanding of data science's technical practice, management, and strategic impact. The program covers data management, analysis, modeling, and visualization, and includes a strong practical component with hands-on projects and assignments. Graduates can pursue careers as Business Data Analysts, Data Analysts, Data Scientists, and Database Coordinators.

Program Outline

Degree Overview:

The Graduate Diploma of Data Science (Applied) is a one-year, full-time or part-time equivalent program conducted entirely online. It equips students to apply data science principles effectively and confidently in their chosen professional field. Graduates will gain a deep understanding of data science's technical practice, management, and strategic impact in multiple industry contexts. They will build high-level skills in evaluating and applying best-practice analytics tools and techniques in real-world settings and expand their awareness of global perspectives on data science through examining case studies drawn from diverse disciplines and domains. Students will also develop highly effective interpersonal skills needed to communicate their data science strategies and analysis persuasively with various audiences.


Outline:

The program's content covers various aspects of data science, including data management, analysis, modeling, and visualization. The course schedule is designed to provide students with a solid foundation in the fundamentals of data science and gradually introduce more advanced topics. Individual modules include:

  • Data Management and Analysis
  • Data Modeling and Visualization
  • Machine Learning
  • Data Science for Business
  • Data Science for Healthcare
  • Data Science for Social Good

Assessment:

Assessment methods in the program include:

  • Assignments
  • Quizzes
  • Projects
  • Presentations

Teaching:

The program is taught by experienced faculty using a combination of online lectures, tutorials, and discussion forums. Students will have access to a range of learning resources, including online textbooks, videos, and simulations. The program also incorporates a strong practical component, with students completing hands-on projects and assignments.


Careers:

Graduates of this program can pursue various career paths in data science, including:

  • Business Data Analyst
  • Data Analyst
  • Data Scientist
  • Database Coordinator
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