Program Learning Outcomes
Graduates of the Bachelor in Hospitality & Tourism Management program will gain:
- Technical Proficiency: Equip students with advanced programming and quantitative skills using languages and tools like Python, R, and cloud computing platforms.
- Analytical Expertise: Foster expertise in machine learning, data optimization, and experimental analysis, enabling students to tackle complex data challenges.
- Ethical Insight: Develop an ethical understanding of data science through courses that explore AI’s impact on humanity.
- Practical Application: Provide real-world experience through a capstone project, allowing students to apply their knowledge to address industry-relevant problems.
Program Structure
This master’s degree in Data Science provides a pathway into diverse and high-impact careers such as data scientist, machine learning engineer, and data analyst. Learn the advanced tools, techniques, and principles needed to thrive in a rapidly evolving digital landscape
Year 1
Semester 1:
- Quantitative Fundamentals
- Data Structures and Algorithm
- Programming with R and Python
Semester 2:
- Computational Statistics & Probability
- Cloud Computing
- AI & Humanity: The Ethics of Data Science
Year 2
Semester 3:
- Machine Learning
- Distributed Algorithms and Optimization
- Design and Analysis of Experiments
Semester 4:
- Deep Learning
- Natural Language Processing
- Capstone Project