Master of Project Management
The Master of Project Management offered by Swinburne University is a ...
Bachelor of Games and Interactivity / Bachelor of Computer Science (Data Science)
Hawthorn
INTAKE: Jul & Feb
Program Overview
The Bachelor of Games and Interactivity / Bachelor of Computer Science (Data Science) program at Swinburne University of Technology integrates game design principles with advanced data science techniques. This interdisciplinary program prepares students to leverage data analytics and computational methods to enhance game development, gameplay experience, and decision-making processes within the gaming industry. Students gain practical skills in both game design and data science, equipping them for careers at the intersection of gaming and data-driven technologies.
Curriculum: The curriculum combines foundational courses in game design, software development, and data science with specialized modules in machine learning, data visualization, and big data analytics. Students learn to apply statistical methods and programming languages to analyze gaming data, optimize game mechanics, and personalize user experiences. Practical projects and industry-focused assignments allow students to develop hands-on skills in game development and data analysis, preparing them for diverse roles in the gaming and tech industries.
Research Focus: Swinburne University of Technology emphasizes a research-driven approach to teaching, integrating cutting-edge research findings in game design and data science into the curriculum. Students have opportunities to engage in research projects focused on game analytics, player behavior modeling, and AI-driven game development. Faculty members actively contribute to research publications and collaborate with industry partners, ensuring students gain insights into emerging trends and innovative applications of data science in gaming.
Industry Engagement: The program maintains strong ties with industry leaders through collaborations with gaming studios, technology companies, and data-driven enterprises. Industry guest lectures, workshops, and internships provide students with practical experience and networking opportunities with professionals in game development and data science fields. This engagement ensures that the curriculum remains relevant to industry demands, preparing graduates for roles in game analytics, game AI development, and data-driven game design.
Global Perspective: With a global outlook, Swinburne University encourages students to explore data science and gaming from an international perspective. The program offers opportunities for global collaborations, participation in international gaming competitions, and exchange programs with partner universities worldwide. Students gain exposure to diverse gaming markets and cultural influences, enhancing their understanding of global gaming trends and preparing them for international careers in data-driven game development.
Location
Hawthorn
Score
IELTS 6
Tuition Fee
AUD 35160
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 with a minimum of 20 in each section.
- PTE (Pearson Test of English): Overall score of 58 with a minimum of 50 in each section.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
Swinburne University offers a range of scholarships designed to assist international students in achieving their educational goals. These scholarships are awarded based on various criteria, including academic merit, financial need, and specific areas of study.
Swinburne International Excellence Scholarship: This merit-based scholarship recognizes outstanding academic achievements. It provides financial support to high-achieving international students pursuing undergraduate or postgraduate degrees.
Swinburne Sports Excellence Scholarship: Aimed at supporting talented athletes, this scholarship assists international students who excel in sports while pursuing their academic studies at Swinburne.
Swinburne Student Achievement Award: Recognizing not only academic achievements but also contributions to the community, this scholarship provides financial support and acknowledges a holistic approach to personal growth and success.
Government Scholarships: Swinburne University collaborates with various governments and organizations worldwide to provide scholarships and sponsorships for international students from specific countries. These opportunities vary by nation and are offered in conjunction with external partners.
Graduates of the Bachelor of Games and Interactivity / Bachelor of Computer Science (Data Science) program at Swinburne University of Technology are equipped with a unique blend of skills in game development, data science, and analytics, making them well-suited for diverse and specialized roles across several industries.
Game Data Analyst: Game data analysts specialize in analyzing player behavior and game performance metrics using statistical methods and data visualization tools. They derive insights to optimize game mechanics, improve player engagement, and inform game design decisions.
Game AI Developer: Graduates can pursue roles as game AI developers, leveraging machine learning and artificial intelligence techniques to create intelligent NPCs (non-playable characters), adaptive game environments, and personalized gaming experiences based on player data analysis.
Data Scientist (Gaming Industry): As data scientists in the gaming industry, graduates apply advanced analytics and predictive modeling to extract actionable insights from large datasets. They develop algorithms for user segmentation, churn prediction, and game content recommendation systems.
Big Data Engineer: Big data engineers design and manage data infrastructure for storing, processing, and analyzing large volumes of gaming data. They optimize data pipelines, implement scalable solutions, and ensure data quality and integrity for game analytics and business intelligence purposes.
Machine Learning Engineer (Gaming): Graduates may specialize as machine learning engineers in gaming, developing algorithms and models for real-time player behavior prediction, fraud detection, and dynamic game difficulty adjustment based on player skill levels and preferences.
Game Developer with Data Focus: Game developers with a focus on data utilize their programming skills to integrate data-driven features into games, such as personalized gameplay experiences, procedural content generation, and real-time analytics dashboards for game designers and publishers.
Business Intelligence Analyst (Gaming): Business intelligence analysts in the gaming sector analyze market trends, competitive landscapes, and player demographics to support strategic decision-making. They prepare reports, dashboards, and forecasts to optimize game marketing, user acquisition, and monetization strategies.
Product Manager (Gaming Analytics): Product managers specializing in gaming analytics oversee the development and enhancement of gaming products based on data-driven insights. They collaborate with cross-functional teams to prioritize features, define product roadmaps, and optimize user experiences.
Data Visualization Specialist: Graduates can specialize in data visualization, creating interactive dashboards and visual representations of gaming data to facilitate understanding and decision-making by stakeholders, including game designers, marketing teams, and executives.
Consultant or Freelancer: Some graduates choose to work independently as consultants or freelancers, offering specialized expertise in game analytics, data science, or machine learning to gaming companies and startups. They provide strategic advice, develop customized solutions, and implement data-driven initiatives on a project basis.
