University of Technology, Sydney

Staff directory | Webmail | Maps | Newsroom | What's on

C03064v1 Master of Learning Analytics (Research)

Award(s): Master of Learning Analytics (Research) (MLrnAnalyt(Res))
CRICOS code: 099357G
Course EFTSL: 2
Location: City campus, Blackfriars

Overview
Career options
Course intended learning outcomes
Admission requirements
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information

Overview

This is a research degree requiring an original and significant contribution to knowledge in the field of learning analytics.

It provides an opportunity for graduates to acquire high-level research skills and substantially deepen their knowledge in this area.

This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone.

The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

This course is designed for students interested in a leadership position as a data scientist, or pursuing an academic career in data science.

Career options

This degree prepares data scientists for leadership positions in teaching, management and research. There are opportunities for developing a career on a national and international level.

Course intended learning outcomes

2.1 Students will learn and apply analytical techniques to educational data.
3.1 Students will demonstrate an understanding of the relationship between educational theories and learning analytics.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate research studies.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 7.0 overall with a writing score of 7.0; or TOEFL: paper based: 584-609 overall with TWE of 5.0, internet based: 94-101 overall with a writing score of 27; or AE6: Pass; or PTE: 65-72; or CAE: 185-190.

Eligibility for admission does not guarantee offer of a place.

International students

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

Course duration and attendance

The course duration is two years of full-time or four years of part-time study.

Course structure

The research degree is undertaken wholly by thesis. It is structured in three phases.

  • Phase 1: Students negotiate a study plan with their supervisor. This plan makes explicit the kinds of support each student requires.
  • Phase 2: Students develop their individual program of research, and their readiness to enter Phase 3 is assessed at the end of Phase 2.
  • Phase 3: Candidates engage in the preparation and submission of a major thesis which makes a sustained contribution to knowledge in their field of inquiry.

Research and development activities are provided throughout the three phases to assist students to develop the capabilities of a successful graduate, or to extend their program through to a doctoral degree.

Course completion requirements

36107 Master of Learning Analytics Thesis 

Course program

The course program is negotiated with the supervisor, but follows the path outlined in the course structure.

Other information

For more information, contact the CIC Senior Manager:

telephone +61 2 9514 9978
email Gabrielle.Gardiner@uts.edu.au

Connected Intelligence Centre (CIC)