Know The Differences: Master of Computer Science vs Applied Computing

11 Nov 2024

8 Min Read

The Taylor's Team (Editor)

IN THIS ARTICLE

In today’s fast-evolving technological landscape, with artificial intelligence (AI), data science, and cybersecurity reshaping industries across the globe, advanced expertise in computer science and computing applications has never been more valuable. For those aiming to deepen their understanding in these transformative fields, choosing the right postgraduate path is crucial. Two prominent options—the Master of Computer Science and the Master of Applied Computing—offer distinct approaches tailored to different professional ambitions and learning styles.

Overview

Master of Computer Science

The Master of Computer Science programme is a research-driven pathway designed for you if you’re eager to contribute to the advancement of knowledge in computer science. This two-year, full-time master’s programme also offers part-time options, giving you the flexibility to tailor your studies based on your individual needs. It is ideal if you’re looking to conduct deep research in various computing fields, focusing on areas such as Cybersecurity, Artificial Intelligence, Machine Learning, IoT and Networking, Cloud Computing, and Software Programming.

With an emphasis on research, you’ll have the opportunity to address complex problems within these fields, working alongside leading academics to push the boundaries of innovation. You’ll be positioned to generate insights and solutions that can shape future technologies, preparing you for impactful careers in academia, research institutions, advanced Research and Development (R&D) roles, and various positions within the computing industry, including roles in tech companies and innovative start-ups.

Master of Applied Computing

The Master of Applied Computing (MAC) is a coursework-based programme tailored for you if you’re seeking a practical, industry-oriented approach to computing. This one-year, full-time taught master’s programme is offered on campus, with part-time options available if you need more flexibility. The MAC focuses on core areas such as Artificial Intelligence (AI) and Data Science, offering a structured curriculum designed to equip you with the technical knowledge and hands-on skills required to meet the demands of today’s tech industry.

In this programme, you’ll engage in modules covering AI applications, machine learning, and big data analytics, alongside real-world projects that simulate challenges faced by technology companies. This pathway is ideal if you’re looking to transition directly into tech roles or leadership positions, leveraging your expertise to solve practical, industry-specific problems.

Group of computer science student outside the lab

Key Differences

Learning Approach: Research vs Coursework

Master of Computer Science: This programme takes a research-driven approach, allowing you to explore complex questions and develop original insights. You’ll work independently, guided by academic supervisors, to design and execute research projects that address specific challenges on research topics related to Cybersecurity, Artificial Intelligence, Machine Learning, IoT and Networking, Cloud Computing, and Software Programming.
Master of Applied Computing: In contrast, this programme follows a coursework-based approach, designed to provide practical, industry-oriented skills. With structured modules, labs, and case studies, you’ll gain hands-on experience in essential areas like Artificial Intelligence and Data Science, emphasising skill-building over independent research.

Programme Structure and Flexibility: Research-Centric vs Practical Curriculum

Master of Computer Science: You have greater flexibility to tailor your studies around a chosen research topic, with core requirements such as advanced research methodologies and a thesis or dissertation. This structure is ideal if you’re looking to explore a specific area in depth and contribute original findings.
Master of Applied Computing: This programme provides a set curriculum with core modules and capstone projects that cover a range of practical computing skills. Rather than allowing for deep specialisation in one area, it offers a broad scope across multiple applied fields, suited for those looking to enter various industry roles with a strong technical foundation.

Skill Development: Analytical vs Practical

Master of Computer Science: The emphasis on research cultivates critical thinking, analytical skills, and the ability to tackle open-ended problems. You’ll gain expertise in academic writing, scientific communication, and independent problem-solving, skills highly valuable for careers in academia or Research and Development (R&D).
Master of Applied Computing: This programme focuses on practical, industry-relevant skills, including coding, data analysis, and software design. You’ll work on real-world problems and develop the hands-on expertise needed to transition directly into tech roles, with skills geared towards immediate application in industry.

Project Focus: Thesis vs Capstone Project

Master of Computer Science: You’ll complete a thesis or dissertation as a major component, conducting independent research and producing original contributions to the field. This project is an opportunity to showcase your analytical skills and deepen your expertise in a specialised area.
Master of Applied Computing: Rather than a thesis, this programme culminates in a capstone project, which involves tackling real-world scenarios that simulate industry challenges. The capstone focuses on applying learned skills to practical problems, preparing you to address complex issues in technology-driven environments.

Taylor's lecturer guiding student on the assignment

Experience Your Future at Taylor’s Open Day – 7, 8 and 14, 15 December

Choosing a programme isn’t just about making a decision —it’s about envisioning the life you want to create. At our Open Day, come and explore the campus, meet inspiring lecturers and students, and get a feel for the opportunities waiting for you.

Career Pathways and Opportunities

Master of Computer Science

With a Master of Computer Science, you’ll be well-prepared for roles that drive innovation and contribute to groundbreaking research. This degree opens doors to advanced positions such as:

AI Research Scientist: In this role, you’ll work on developing cutting-edge AI algorithms, advancing fields like machine learning, natural language processing, and computer vision. As an AI Research Scientist, you’ll collaborate with global research teams, publish findings, and contribute to next-generation AI technology.
Cybersecurity Strategist: As a Cybersecurity Strategist, you’ll create advanced defence mechanisms against cyber threats, using AI and data science to predict and mitigate attacks. This role is crucial in today’s digital landscape, focusing on proactive security measures and safeguarding sensitive information.
Data Scientist: As a Data Scientist, you’ll develop complex data models and leverage machine learning algorithms to extract meaningful insights and predict outcomes. This role involves working with large datasets, creating advanced analytical solutions, and collaborating with stakeholders to implement data-driven innovations. Your expertise will contribute to solving high-impact challenges in various industries, from tech and finance to healthcare.
Machine Learning Designer: In this role, you’ll design and build machine learning systems that automate processes and provide predictive capabilities. A Machine Learning Designer works on developing, testing, and refining models to ensure they perform effectively in real-world applications. This career is perfect if you’re passionate about applying theoretical knowledge to practical problems, using tools like Python and machine learning frameworks to create innovative solutions.

Master of Applied Computing

The Master of Applied Computing prepares you for industry-driven roles that require practical application of advanced computing skills. Future-oriented career paths include:

Machine Learning Engineer: As a Machine Learning Engineer, you’ll design and deploy intelligent systems across various industries, creating machine learning applications that drive efficiency and data-driven insights.
Data and AI Product Manager: This role combines technical and strategic skills, overseeing the development of AI-powered products. As a Data and AI Product Manager, you’ll lead teams to innovate and deliver intelligent applications that add value to businesses and consumers.
Internet of Things (IoT) Solutions Architect: An IoT Solutions Architect designs and implements connected systems across devices and sensors. In this role, you’ll help industries like manufacturing, healthcare, and smart cities harness the power of IoT for automation and data-driven decision-making.
Augmented Reality (AR) and Virtual Reality (VR) Developer: As an AR and VR Developer, you’ll create immersive experiences for industries such as gaming, education, and healthcare. This future-focused role blends digital and physical realities, expected to grow as these technologies become mainstream.

Taylor's postgraduate student discussing on the capstone project

How to Choose

Who should choose the Master of Computer Science?

If you’re driven by curiosity and have a desire to contribute new knowledge to the field, the Master of Computer Science might be the right fit. This programme is ideal if you:

Enjoy conducting independent research: You’ll have the chance to delve deeply into a specific area of computer science, collaborating with academic supervisors to explore complex questions and develop original insights.
Aspire to work in research or academia: This degree prepares you for roles such as Research Scientist or University Lecturer, where contributing to the academic community and pushing the boundaries of knowledge is key.
Prefer a flexible, research-focused structure: With core requirements in research methodologies and a thesis or dissertation, this programme allows you to shape your studies around your interests, focusing on areas like AI, Data Science, and Cybersecurity.
Are interested in pursuing a PhD: If you have long-term academic ambitions, this programme provides a strong foundation in research skills, making it an excellent choice for those considering further study.

Who should choose the Master of Applied Computing?

If you’re more interested in applying computing skills directly to solve industry challenges, the Master of Applied Computing may be the right choice. This programme is for you if you:

Thrive in a structured, skills-oriented environment: With a set curriculum, hands-on labs, and capstone projects, you’ll develop practical expertise in core areas like AI and Data Science, preparing you for roles in the tech industry.
Want to transition directly into industry roles: This programme is designed to equip you with the skills needed for positions like Machine Learning Engineer, IT Consultant, and Cloud Solutions Architect, where practical problem-solving is essential.
Prefer real-world applications over theoretical research: The coursework and capstone projects focus on practical challenges, allowing you to build industry-relevant skills in coding, data analysis, and software design.
Seek a flexible career path within tech: With exposure to multiple facets of applied computing, this degree opens doors to various roles across industries, making it ideal if you want a broad skill set that is immediately applicable.

Choosing the Right Path for Your Future

Deciding between the Master of Computer Science and the Master of Applied Computing ultimately depends on where you see yourself making an impact in the tech landscape. If you’re inspired by the prospect of conducting in-depth research, contributing new knowledge, and perhaps continuing toward a PhD, the Master of Computer Science offers a path geared toward innovation and academia. On the other hand, if you’re eager to develop applied skills, solve real-world challenges, and step directly into industry roles, the Master of Applied Computing provides a structured, hands-on approach that aligns with industry demands.

Each programme offers unique opportunities and skill development tailored to different career trajectories. By understanding your own goals and learning preferences, you’ll be able to choose the path that best supports your ambitions and positions you for a fulfilling career in the rapidly evolving field of computing.

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