"I am very thankful to have taken the MDASC programme and met so many supportive and knowledgeable professors. The program is comprehensive and covers the complete data science lifecycle. The courses did not only include theories, but also plenty of practices such as group projects and hands-on workshops. The programme equipped me with all the skillsets I needed to be a professional data scientist. I am now working in the Football Trading Department of HKJC and the lessons I learnt from the Master programme unquestionably facilitate my research and allow me to further enhance my models."
WONG Ho Yeung [MDASC Part-time Graduate 2022]
Senior Data Scientist (Sports Wagering), The Hong Kong Jockey Club
"Participating in the MDASC program means a lot to me. It not only has courses in computer science, but also covers the subject of statistics. It made me realize the importance of data in my daily work and life. As a computer vision algorithm engineer, I deeply feel that data closed-loop has now become a key link in machine learning. The program equips me with basic skills in data mining and analysis, and helps me to better advance on the path of algorithm engineer. In addition, the MDASC program also provides a wealth of courses for students with different career paths to choose from, such as finance, data science, and cloud computing. I believe that every student who wants to understand what data science is and hope to develop in this area is suitable for joining this program."
"The MDASC programme is both academically challenging and commercially relevant allowing me to enhance my skills, experience and knowledge in various areas of data science. The learning experience through the MDASC is unparalleled. Not only do I learn from top professors in their fields, but also from talented and experienced classmates who come from different industries.
Specifically, the Data Science Project provides an excellent opportunity for the students to explore deeply in an interested field of data science and artificial intelligence or even commercialize their ideas. With the department’s tremendous support and the programme’s professional training, I have equipped with the knowledge, confidence and connections to start an artificial intelligence startup after graduation.
No matter where you come from or what you are looking for, I believe the MDASC programme will definitely open the door for a new career path for you in the future."
"MDASC is a comprehensive master degree from theory in statistics to real world examples in computer science. With the elective subjects, I could not only study spatial data analysis for interest to know more about how to handle geographical data, but also could take the course for data visualization for work to illustrate the data analysis in an explainable and attractive way using Tableau to target audiences. With this program, I enhance my knowledge in statistical theory and learn more about the latest data science topics, such as cloud computing, deep learning, text mining and so on. It would be a good program for those who would like to know more about data science or work as a data scientist. After finishing the program, I am now more confident in explaining my models to my colleague and have a more clear direction on improving the accuracy, speed for current models and even deploy more complex machine learning models for my daily task."
"Coming from the finance field, I had very little experience in coding in my daily job. That being said, the MDASC program have provided me a great foundation to understand the theoretical aspect and real-life application around machine learning and data science. Having a structured curriculum combining with a final year capstone project, it was so helpful to glue the concepts together and apply it in the context which I believe is of great use for my future career. I would highly recommend this course to anyone who wants to take a well-organized program for Data Science."
LAM Chi Ho [MDASC Part-time Graduate 2021]
Associate Director, Barings Asset Management
"The MDASC program has a well-balanced and flexible curriculum in Statistics and Computer Science. As a machine learning engineer, I work with large volume of data every day, which requires strong background in big data and machine learning techniques. The program equipped me with these core skills and built me a solid foundation for my career pursuit. Moreover, the flexibility of the curriculum and the diverse background of classmates help students to pursue any career path related to data, such as finance, data analyst, data scientist, etc. For me, the MDASC journey is a rewarding one, and I believe it will be a rewarding journey for anyone who believes the power of data."
WANG Kai [MDASC Full-time Graduate 2021]
Machine Learning Engineer, ByteDance
"I am very thankful to have taken the MDASC programme and met so many supportive and knowledgeable professors. The program is comprehensive and covers the complete data science lifecycle. The courses did not only include theories, but also plenty of practices such as group projects and hands-on workshops. The programme equipped me with all the skillsets I needed to be a professional data scientist. I am now working in the Football Trading Department of HKJC and the lessons I learnt from the Master programme unquestionably facilitate my research and allow me to further enhance my models."
"Participating in the MDASC program means a lot to me. It not only has courses in computer science, but also covers the subject of statistics. It made me realize the importance of data in my daily work and life. As a computer vision algorithm engineer, I deeply feel that data closed-loop has now become a key link in machine learning. The program equips me with basic skills in data mining and analysis, and helps me to better advance on the path of algorithm engineer. In addition, the MDASC program also provides a wealth of courses for students with different career paths to choose from, such as finance, data science, and cloud computing. I believe that every student who wants to understand what data science is and hope to develop in this area is suitable for joining this program."
"The MDASC programme is both academically challenging and commercially relevant allowing me to enhance my skills, experience and knowledge in various areas of data science. The learning experience through the MDASC is unparalleled. Not only do I learn from top professors in their fields, but also from talented and experienced classmates who come from different industries.
"MDASC is a comprehensive master degree from theory in statistics to real world examples in computer science. With the elective subjects, I could not only study spatial data analysis for interest to know more about how to handle geographical data, but also could take the course for data visualization for work to illustrate the data analysis in an explainable and attractive way using Tableau to target audiences. With this program, I enhance my knowledge in statistical theory and learn more about the latest data science topics, such as cloud computing, deep learning, text mining and so on. It would be a good program for those who would like to know more about data science or work as a data scientist. After finishing the program, I am now more confident in explaining my models to my colleague and have a more clear direction on improving the accuracy, speed for current models and even deploy more complex machine learning models for my daily task."
"Coming from the finance field, I had very little experience in coding in my daily job. That being said, the MDASC program have provided me a great foundation to understand the theoretical aspect and real-life application around machine learning and data science. Having a structured curriculum combining with a final year capstone project, it was so helpful to glue the concepts together and apply it in the context which I believe is of great use for my future career. I would highly recommend this course to anyone who wants to take a well-organized program for Data Science."
"The MDASC program has a well-balanced and flexible curriculum in Statistics and Computer Science. As a machine learning engineer, I work with large volume of data every day, which requires strong background in big data and machine learning techniques. The program equipped me with these core skills and built me a solid foundation for my career pursuit. Moreover, the flexibility of the curriculum and the diverse background of classmates help students to pursue any career path related to data, such as finance, data analyst, data scientist, etc. For me, the MDASC journey is a rewarding one, and I believe it will be a rewarding journey for anyone who believes the power of data."