Program Overview

Master of Business Analytics (Extension)

Overview

This course is designed for professionals from business and IT sectors aiming to enhance their analytics expertise. The program allows individuals to stay ahead in the rapidly evolving field of business analytics, leveraging a cross-disciplinary approach. Its distinctiveness lies in the tailored course structure, accommodating unique backgrounds and career aspirations, alongside offering flexible specialisations.

Availabilities

• City campus-Autumn Session
  • Attendance mode: On campus - Weekly
  • Attendance type: Full Time, Part Time
  • Location: City campus
  • Session: Autumn Session
  • Student type: Domestic, International
• City campus-Spring Session
  • Attendance mode: On campus - Weekly
  • Attendance type: Full Time, Part Time
  • Location: City campus
  • Session: Spring Session
  • Student type: Domestic, International

Learning Outcomes

Upon completion of this course, graduates will be able to:

1. Appraise the assumptions implicit in data and apply analytical techniques to create innovative business solutions in a range of contexts
2. Communicate complex data-informed decisions clearly in written, verbal and visual form to a broad range of business stakeholders
3. Collaborate with colleagues and a broad range of stakeholders to deliver negotiated outcomes
4. Critically evaluate various data practices and use these insights to improve analytical processes which drive positive and equitable outcomes
5. Integrate advanced data analysis techniques with business practices to deliver new insights that drive effective decision-making in a range of local and international contexts
6. Critically reflect on the rights to consent, privacy, data sovereignty and self-determination to work ethically with and for Indigenous Australians as business analytics professionals

Structure

The course totals 96 credit points and consists of a combination of core (72cp) and elective (24cp) subjects.

Core Subjects

• 22804: Business Analytics Foundations (6 CPs)
• 22805: Data Governance and Regulation (6 CPs)
• 32606: Database (6 CPs)
• 22789: Financial Analytics (6 CPs)
• 24753: Customer Analytics (6 CPs)
• 32146: Data Visualisation and Visual Analytics (6 CPs)
• 43031: Python Programming for Data Processing (6 CPs)
• 32513: Advanced Data Analytics Algorithms (6 CPs)
• 23708: Studio 1: Foundation (6 CPs)
• 24754: Studio 2: Specialisation (6 CPs)
• 42048: Studio 3: Innovation (12 CPs)

Elective Subjects

• 21946: Supply Chain Management Analytics (6 CPs)
• 24729: Digital Marketing and Emerging Technologies (6 CPs)
• 25752: Bank Lending and Analytics (6 CPs)
• 32557: Enabling Enterprise Information Systems (6 CPs)
• 32558: Business Intelligence (6 CPs)
• 42028: Deep Learning and Convolutional Neural Network (6 CPs)
• 42050: SAS Predictive Business Analytics (6 CPs)
• 42172: Introduction to Artificial Intelligence (6 CPs)
• 42850: Natural Language Processing Algorithms (6 CPs)
• 42913: Social and Information Network Analysis (6 CPs)
• 43024: Introduction to Computational Intelligence (6 CPs)
• 36100: Data Science for Innovation (8 CPs)
• 36101: Leading Data Science Initiatives (8 CPs)
• 36103: Statistical Thinking for Data Science (8 CPs)
• 36104: Data Visualisation and Narratives (8 CPs)
• 36106: Machine Learning Algorithms and Applications (8 CPs)
• 36120: Advanced Machine Learning Application (8 CPs)
• 36121: Artificial Intelligence Principles and Applications (8 CPs)
• 22708: Accounting Information Systems (6 CPs)
• 22787: Business Project Management (6 CPs)
• 22759: Accounting and ERP (6 CPs)
• 26899: Postgraduate Business Internship (6 CPs)

Inherent Requirements

Inherent requirements are academic and non-academic requirements that are essential for successfully completing a course at UTS.

Study Plans

• Autumn commencing, full time
• Spring commencing, full time

Award(s)

Master of Business Analytics (Extension)

Faculty

Business

Study Level

Postgraduate

Location

City campus

Duration

• Full time: 2 Year(s)
• Part time: 4 Year(s)

Language of Instruction

English