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Students
Tuition Fee
Start Date
Medium of studying
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Science | Information Technology
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2024-02-01-
2024-05-01-
2024-08-01-
About Program

Program Overview


The Master of Information Technology (Big Data and Analytics) program equips students with the knowledge and skills to thrive in data analytics. It combines practical and theoretical components, including core subjects, specialization subjects, and industry internships. Graduates are well-positioned for careers as data analysts, business intelligence analysts, and other data-driven roles.

Program Outline

Degree Overview:


Objective:

The Master of Information Technology (Big Data and Analytics) program aims to equip students with the knowledge, skills, and expertise necessary to thrive in the rapidly evolving field of data analytics.


Description:

This postgraduate degree is designed to meet the growing demand for professionals who can effectively design, develop, and implement innovative and impactful data analytics solutions that address complex real-world challenges. By blending practical and theoretical components, the program provides students with a comprehensive foundation in essential IT domains, including Business Intelligence, Big Data Architecture and Management, Persuasive Data Visualization and Communication, Advanced Data Analytics, Deep Learning Analytics, and Cyber Security.


Outline:


Course Schedule:

The MIT (Big Data and Analytics) program comprises a total of 14 subjects (64 credit points), consisting of:

  • 4 x Core subjects
  • 6 x Specialization subjects
  • 2 x WIL Professional Placement subjects (Internship)
  • 2 x Elective subjects

Module Descriptions:

  • Core Subjects
  • Agile IT Project Management and Governance
  • Enterprise and Network Cyber Security
  • Database Management Systems
  • Analytics for Business Intelligence
  • Software Design and Construction
  • Specialization Subjects
  • Big Data Architecture and Management
  • Persuasive Data Visualization and Communication
  • Advanced Data Analytics
  • Deep Learning Analytics
  • Data Analytics Consulting Project
  • Elective Subjects
  • Students can choose two elective subjects from a range of relevant IT-related topics.
  • WIL Professional Placement Subjects
  • Students complete two Work Integrated Learning (WIL) subjects, which provide them with practical industry experience through internships at Australian or international businesses.

Teaching:


Teaching Methods:

The program utilizes a combination of teaching methods, including small lectures, tutorials, workshops, and industry research. This approach caters to diverse learning styles and ensures that students develop both theoretical knowledge and practical skills.


Faculty:

The program is taught by experienced faculty members who are actively engaged in research and industry collaborations. Dr. Patrick Shearman, the Program Manager for Information Technology, holds a PhD from UTS Business School and has extensive experience in systems analysis, IT infrastructure, and technology strategy.


Unique Approaches:

  • Emphasis on Industry Relevance:
  • The program is designed to align with the latest industry trends and best practices, ensuring that graduates are equipped with the skills and knowledge demanded by employers.
  • Professional Placement Opportunities:
  • The WIL subjects provide students with invaluable hands-on experience, allowing them to apply their learning in real-world business settings.
  • Focus on Critical Thinking and Problem Solving:
  • The program emphasizes the development of critical thinking skills, enabling students to analyze complex data, identify patterns, and develop innovative solutions to data-driven challenges.

Careers:


Career Paths and Opportunities:

Graduates of the MIT (Big Data and Analytics) program are well-positioned for a wide range of career opportunities within the IT industry, including:

  • Data Analyst
  • Business Intelligence Analyst
  • Data & Analytics Consultant
  • Senior Database Administrator
  • Data Mining Consultant
  • Data Manager
  • Data Quality Manager

Emigration Pathways:

The qualification may also provide various migration pathways for international students who meet the eligibility criteria set by the Australian Department of Home Affairs.

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