Overview
The Master of Computing (Data Analytics) is committed to develop the next generation computing professionals who possess broad knowledge and a deep understanding of technical, managerial, and ethical aspects of computing practices. The data analytics specialization has a focus on applying cutting edge technologies to deliver data driven insights and … For more content click the Read More button below.
This degree is designed for both graduates with a computing background who wish to upskill, and graduates without a computing background who wish to enter the booming field of computing.
You will study subjects in advanced programming, data management, Information systems, project management, data mining and big data, knowledge engineering, and cyber security. You will benefit from the curriculum that incorporates the university’s research strengths in artificial intelligence and data science.
This program will provide you with the knowledge and skills to analyse, design, develop, and manage complex computing solutions across a range of industries. You are able to work in various roles to enable IT-enable and data-driven innovation, including system, data analyst, big data specialist, data engineer, data architect, data systems developer, system analyst, software solution architect and developer, and so on.
Delivery
3230-UOW India-On-Campus
On offer:Yes
Delivery location:UOW India
Delivery mode:On-Campus
Intakes:UOWI Tri 1, UOWI Tri 2
Course structure
The Master of Computing requires the completion of 72 credit points and students must satisfy all course requirements for the degree outlined in the course structure below:
Students should consult with the Academic Program Director directly to help in planning out their program of study.
72 Credit points
Master of Computing (Data Analytics) at UOW India72 Credit points
Core36 Credit points
Data Analytics18 Credit points
Capstone12 Credit points
Elective6 Credit points
Subjects with substantial WIL
This degree strengthens students’ work readiness skills by integrating academic learning with its practical application in the workplace. Most of the core subjects (e.g., CSIT985, ISIT904, CSIT922, and CSIT977,) have Foundational WIL built into the subject to allow students to observe, reflect, and critically think the multiple facets of work. Subjects like CSIT883 have embedded WIL where students directly participate in work practices through on-campus simulation. Finally, the capstone project (CSIT997) is an applied WIL subject which allows students to work on a real-world project, often with an industry client.
Learning outcomes
Course Learning Outcomes are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of the course. Students graduating from this course will be able to:
1.
Apply professional computing approaches to solve complex problems in a variety of industries
2.
Identify, understand, communicate and work with technical, societal, managerial, and ethical facets of computing solutions.
3.
Research, synthesise and apply key information and expert judgement in computing practices.
4.
Engage in independent learning to update own knowledge in the field and keep pace with innovations in computing techniques, industry trends and standards.
5.
Work as an individual and as a member of a team in a manner consistent with ethical and professional standards.