Specialisation in Accounting and Auditing

Program Overview

The Accounting and Auditing specialisation at Macquarie University will equip students with essential accounting and auditing knowledge and a range of business-related skills. The program will develop students' skills in informed decision-making, advanced and integrated theoretical knowledge, and independent research. Graduates of this program will be prepared for careers in accounting, finance, management, and business

Program Outline

Degree Overview:

The Advanced Computer Science MSc is a comprehensive program designed to equip students with advanced knowledge and practical skills in computer science. It aims to prepare graduates for successful careers in various industries that rely heavily on computing expertise. The program builds upon existing computer science knowledge, providing students with the theoretical and practical skills needed to design and implement complex systems using cutting-edge technologies. The program highlights the following key aspects:

• Relevance: Computing is integral to modern society, making qualified specialists highly sought after across various industries.
• Depth: The program explores advanced topics in computer science, equipping students with the understanding and skills to succeed in diverse roles.
• Practical Focus: Students develop the ability to design and implement larger, more complex systems using state-of-the-art technologies.
• Research Integration: Students have the opportunity to work as integral members of research groups, contributing to real-world projects.
• Faculty Expertise: The program is taught by academics who are experts in their fields and are actively involved in internationally excellent research.
• Industry Connections: The program benefits from long-established links with industry, ensuring students learn the most up-to-date practices and techniques.

Outline:

Year 1 Compulsory Modules:

• MSc Project: 60 Credits - This module allows students to apply their knowledge to a research project focusing on a real-world problem.

Year 1 Optional Modules (Selection of Typical Options):

• Data Science: 15 Credits - This module covers the principles and techniques of data science, including data collection, analysis, and visualization.
• Cloud Computing Systems: 15 Credits - This module explores the architecture, design, and implementation of cloud computing systems.
• Bio-inspired Computing: 15 Credits - This module examines the principles of biological systems and their application to computer science, including artificial intelligence and robotics.
• Knowledge Representation and Reasoning: 15 Credits - This module focuses on the representation and reasoning of knowledge in artificial intelligence systems.
• Machine Learning: 15 Credits - This module covers the theory and practice of machine learning algorithms, including supervised and unsupervised learning.
• Deep Learning: 15 Credits - This module explores the principles and applications of deep learning, a powerful subset of machine learning.
• Advanced Software Engineering: 15 Credits - This module explores advanced software engineering principles and practices, including design patterns, software architecture, and agile development.
• Faculty Interaction: Students have regular contact with staff who are at the forefront of their disciplines through lectures, seminars, tutorials, small group work, and project meetings.
• Independent Study: Independent study is an integral part of the program, fostering problem-solving, research skills, and subject knowledge development.
• Specialist Facilities: The University provides access to state-of-the-art facilities, including a computing cluster, visualization lab, robotics labs, and dedicated Linux laboratories.
• Expert Faculty: The program is taught by a team of academics specializing in various computing topics, including Dr. Mark Walkley, who specializes in Scientific Computing and parallel computing.
• Industry Professionals: The program may also involve teaching by industry professionals with extensive experience, connecting students to real-world expertise.

Assessment:

• Diverse Assessment Methods: Students are assessed through a range of techniques, including case studies, technical reports, group work, presentations, in-class tests, assignments, and exams.
• Module-Specific Assessment: Optional modules may employ alternative assessment methods tailored to their specific content.

Careers:

• Wide Range of Opportunities: The program prepares graduates for careers in various areas of applied computing, including application development, system design, and evaluation.
• Research Focus: The program's strong research focus equips graduates with skills in artificial intelligence, intelligent systems, distributed systems, and complex data analysis.
• Career Paths: Graduates are well-prepared for roles such as:
• Engineer
• Senior Software Engineer
• Technical Developer
• Head of Audience Development
• Systems Engineer
• Software Engineer
• Programmer
• University Rankings: The University of Leeds is ranked among the top 5 most targeted universities in the UK by graduate recruiters.
• Employability team
• Employability events
• MyCareer system
• Qualified careers consultants

Other:

• Student Profile: The program highlights the success of a graduate, Ben Swift, who uses skills learned at Leeds in his daily work.
• Related Courses: The program is listed alongside other related Master's programs, including:
• Advanced Computer Science (Artificial Intelligence) MSc
• Advanced Computer Science (Cloud Computing) MSc
• Advanced Computer Science (Data Analytics) MSc
• Data Science and Analytics MSc
• High-Performance Graphics and Games Engineering MSc

UK fees:

£13,500 (Total)

International fees:

£31,750 (Total)