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Certificate Programme in Data-Enhanced Game Design

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The Certificate Programme in Data-Enhanced Game Design is a vital ten-unit professional course addressing the surging industry demand for data-driven creativity. As gaming evolves, studios increasingly seek designers who can merge artistic vision with analytical rigor.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

This program equips learners with essential skills in player behavior analysis, A/B testing, and metrics interpretation. By mastering these competencies, participants gain a competitive edge for career advancement, transitioning from intuitive design to evidence-based decision-making. Graduates are prepared to optimize engagement, retention, and monetization, making them indispensable assets in today's data-centric gaming landscape. This certification bridges the gap between traditional design and modern analytics, ensuring long-term professional relevance and success.

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์ฃผ 2-3์‹œ๊ฐ„

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๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Data Analysis for Game Design
  • Game Mechanics and Data-Driven Design
  • Data Visualization and Interpretation in Games
  • Data-Enhanced Game Balancing and Iteration
  • A/B Testing and Experimentation in Game Development
  • Player Behavior Analysis and Predictive Modeling
  • User Experience (UX) Research and Data Collection
  • Data-Driven Monetization Strategies in Games

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Data Scientist (Games) Analyze player data to enhance game mechanics, improve monetization strategies, and personalize user experiences.

High demand for data analysis and machine learning skills.

Game Designer (Data-Driven) Design engaging gameplay leveraging data insights.

Strong understanding of game design principles and data visualization is crucial.

UX/UI Designer (Data Focused) Improve user interface and user experience through A/B testing and data analysis, creating intuitive and data-informed designs.

Expertise in user research and data interpretation is essential.

Game Analyst (Data) Collect, process, and interpret data to identify trends and inform game development decisions.

Strong statistical modelling skills are vital.

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ƒ์„ธํ•œ ์ฝ”์Šค ์ •๋ณด๋ฅผ ๋ณด๋‚ด๋“œ๋ฆฌ๊ฒ ์Šต๋‹ˆ๋‹ค

ํšŒ์‚ฌ๋กœ ์ง€๋ถˆ

์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN DATA-ENHANCED GAME DESIGN
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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