The Master of Information Design and Technology (MSc) training program is designed to train masters with specialized knowledge and in-depth professional operational skills, who are able to independent and creative work force in the field of Information Design and Technology of enterprises in the digital age. The knowledge taught in the Information Design and Technology Technology program is multidisciplinary, relevant to content design and information architecture to support enterprise information and communication strategies, and at the same time evaluate the effectiveness of the applied information and communication models
CURRICULUM
1. Philosophy |
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2. Foreign Language |
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3. Scientific research methods |
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4. Integrated Marketing Communications-IMC |
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5. Data analysis |
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6. Machine Learning Statistics |
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7. Information design and content strategy |
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8. Advanced Data Mining |
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9. Analyze social network data |
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10. Natural language processing |
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11. Visual representation of data |
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12. Big data and applications |
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13. Machine learning and econometrics |
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14. Digital marketing analysis |
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15. Artificial intelligence in business |
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16. High performance computing |
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17. Blockchain technology and virtual world |
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18. Marketing technology |
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19. Extracurricular topics |
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20. Great exercise |
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21. Graduation thesis |
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PROGRAM LEARNING OUTCOMES
Knowledge Output Standards
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Understand knowledge of economic, political and social theories in learning, researching and solving practical problems.
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Apply creative thinking, scientific critical thinking in work
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Understand the role of information and communication in production and business activities of enterprises in the digital age.
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Applying the method of formulating content strategy, proposing information model solutions suitable for businesses.
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Apply content design and information architecture methodologies to support corporate strategies across multiple digital platforms.
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Apply data mining and analysis methods to measure and evaluate the effectiveness of enterprises' information and communication strategies through digital platforms.
Skills Output Standard (Skills)
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Proficient in building and implementing corporate information and communication strategies in the digital environment.
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Proficient in applying statistics and machine learning to measure the effectiveness of enterprises' information solutions and content strategies in the digital age.
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Proficient in data analysis of social networks and applications in the enterprise value chain.
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Proficient in business data mining and enterprise value chain applications.
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Adapt to communicate, work with foreign experts, and participate in building strategic solutions, information design technology for domestic and foreign companies.
Output standards Autonomy and Responsibility
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Ability to behave responsibly towards self, work, profession and society; disciplined, cooperative, creative and professional at work.
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Ability to behave and take responsibility in teamwork and guide and supervise others in the group to perform assigned tasks.
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Appreciate values and have good moral character in work and life.
In addition to the above output standards, graduates achieve foreign language ability level 4/6 of Vietnam's Foreign Language Competency Framework.
CAREER DEVELOPMENT
Enterprises with business activities: Digital media strategy planner (Digital or Social Media Strategy)
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Develop, implement and manage social media strategies and plans; Identify key social media KPIs
Enterprise with business activities: Digital sales strategist
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Integrating digital assets, increasing brand awareness, collaborating on marketing campaigns, leading digitally enabled projects and measuring the effectiveness and efficiency of digital channels digital.
Enterprises with business activities: Online sales channel development specialist (Digital business development manager)
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Manage the entire digital sales lifecycle from identifying target areas and customers, identifying opportunities from existing customers, building a database of leads, implementing Sales campaign to potential customers.
Business with business: Business Data Analytics specialist
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Perform data collection from various sources;
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Proposing new solutions for collecting, storing and manipulating data, often based on some popular tools such as R, Python, Excel;
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Clean up datasets and remove duplicate, inconsistent data points in preparation for analysis;
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Apply knowledge of multiple methods of data analysis, including exploratory data analysis, descriptive analysis, diagnosis, prediction, etc.
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Use supporting software and tools to build eye-catching and easy-to-understand report templates.