QS Rank:

57

The Hong Kong Polytechnic University

Kowloon
,Hong Kong SAR China

Program Name
MSc in Data Science and Analytics
Overview

The MSc in Data Science and Analytics at The Hong Kong Polytechnic University is a premier program designed to equip students with the essential skills and knowledge required in today’s data-driven world. This program is tailored to meet the demands of the rapidly evolving field of data science and analytics, emphasizing both theoretical foundations and practical applications. With a duration of 18 months, students will delve deeply into various aspects of data science, including data mining, machine learning, statistical analysis, and big data technologies. The curriculum is crafted to ensure that students not only learn the technical skills necessary to analyze data but also develop critical thinking and problem-solving abilities that are crucial in today’s job market.
At the heart of the MSc in Data Science and Analytics program is a comprehensive and interactive curriculum that includes specialized courses such as Data Mining and Visualization, Machine Learning, Big Data Analytics, and Statistical Modeling. These courses are designed to provide students with hands-on experience using state-of-the-art tools and technologies. Additionally, students will engage in real-world projects that allow them to apply their knowledge practically, developing skills that are directly applicable in various industries. The rigorous coursework ensures that graduates are well-prepared to tackle complex data challenges and make informed decisions based on their analyses.
The faculty members at The Hong Kong Polytechnic University are distinguished experts in the field of data science and analytics, bringing a wealth of knowledge and experience to the classroom. They adopt an innovative teaching methodology that combines traditional lectures with practical workshops and seminars, ensuring that students receive a well-rounded education. Faculty members are not only dedicated educators but also active researchers, providing students with opportunities to engage in cutting-edge research projects. This exposure to research allows students to explore advanced topics and contribute to meaningful advancements in the field, fostering a culture of inquiry and innovation.
Research opportunities abound within the MSc in Data Science and Analytics program. The university boasts high-end labs equipped with the latest technology, promoting an environment conducive to research and experimentation. Students have access to various resources and tools that enhance their learning experience and support their research endeavors. The program encourages collaboration among students and faculty, resulting in a rich academic environment where innovative ideas flourish. This focus on research not only enhances students' understanding of the subject matter but also prepares them for future academic or professional pursuits.
The Hong Kong Polytechnic University is renowned for its strong industry connections, providing students with numerous internship and job placement opportunities. The program maintains partnerships with leading companies across various sectors, facilitating internships that allow students to gain practical experience while studying. These internships often lead to full-time employment after graduation, as students are able to demonstrate their skills and knowledge in a real-world setting. The university's strong reputation and extensive alumni network further enhance job placement outcomes, with many graduates securing positions in top organizations around the globe.
Upon completion of the program, students can expect a wide range of career pathways and job outcomes. Graduates are equipped for roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer, among others. The demand for professionals skilled in data science is continually growing, and graduates of this program are well-positioned to capitalize on these opportunities. Alumni of the program have gone on to achieve remarkable success in various industries, often highlighting their educational experience at The Hong Kong Polytechnic University as a key factor in their career advancement.
Here are some compelling reasons to study Data Science and Analytics at The Hong Kong Polytechnic University:
- The program is consistently ranked among the top universities globally, providing a prestigious qualification recognized by employers.
- International students contribute to a vibrant and diverse learning environment, fostering global perspectives in data science.
- Students have the unique opportunity to learn from and collaborate with leading faculty members who are experts in their fields.
- Access to advanced laboratories and technologies enhances the learning experience and provides practical, hands-on learning.
- Strong industry ties facilitate internship opportunities that often lead to job placements upon graduation.
- Graduates enjoy excellent career prospects, with many securing positions in leading companies worldwide.
To be eligible for the MSc in Data Science and Analytics, candidates are generally required to hold a relevant undergraduate degree and meet specific language proficiency criteria. Accepted standardized tests such as IELTS (with a minimum score of 6.0) and TOEFL (with a minimum score of 80) may be required for non-native English speakers. Prospective students should also prepare for an application fee of HKD 350 and should check the university's official website for detailed requirements and application procedures.
In conclusion, the MSc in Data Science and Analytics at The Hong Kong Polytechnic University is a distinguished program that offers students profound insights and practical skills in the realm of data science. With its comprehensive curriculum, expert faculty, extensive research opportunities, and robust industry connections, this program is an excellent choice for those looking to embark on a successful career in data science and analytics.

Duration
18 Months
Ranking
#100
US World and News Report
#91
The World University Rankings
#57
QS World University Rankings
Class Profile
Diversity
North America:
1%Others:
2%Others:
4%Hong Kong:
85%China:
7%Europe:
2%Eligibility Criteria
English Proficiency Tests
IELTS
6
TOEFL
80
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 350
Application Deadlines
Fees and Funding

Tuition Fees
$1,96,000 / year
FAQs
To be eligible for the MSc in Data Science and Analytics, candidates generally need to:
- Hold a relevant undergraduate degree.
- Meet specific language proficiency criteria, including:
- IELTS with a minimum score of 6.0, or
- TOEFL with a minimum score of 80 (for non-native English speakers).
- Pay an application fee of HKD 350.
It is recommended to check the university's official website for detailed requirements and application procedures.
The MSc in Data Science and Analytics is a comprehensive program that lasts for 18 months. The curriculum is designed to cover various aspects of data science, including:
- Data Mining and Visualization
- Machine Learning
- Big Data Analytics
- Statistical Modeling
This structure ensures that students not only acquire technical skills but also develop critical thinking and problem-solving abilities necessary for today’s job market.
The teaching methodology in the MSc in Data Science and Analytics program combines traditional lectures with practical workshops and seminars. This innovative approach ensures that students receive a well-rounded education. Faculty members are dedicated educators and active researchers, which provides students with opportunities to engage in cutting-edge research projects, enhancing their learning experience.
Graduates of the MSc in Data Science and Analytics can expect a wide range of career opportunities. They are well-prepared for roles such as:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
The demand for professionals skilled in data science is continuously growing, and alumni have secured positions in leading companies worldwide, often attributing their success to their educational experience at The Hong Kong Polytechnic University.
The MSc in Data Science and Analytics program emphasizes research and provides students with access to high-end labs equipped with the latest technology. This promotes an environment conducive to research and experimentation. Students are encouraged to collaborate with faculty on research projects, allowing them to explore advanced topics and contribute to meaningful advancements in the field, thereby fostering a culture of inquiry and innovation.
The Hong Kong Polytechnic University has strong industry connections that provide students with numerous internship and job placement opportunities. The program maintains partnerships with leading companies across various sectors, facilitating internships that allow students to gain practical experience while studying. Many of these internships lead to full-time employment after graduation, as students can demonstrate their skills and knowledge in a real-world setting.
Here are some compelling reasons to study Data Science and Analytics at The Hong Kong Polytechnic University:
- The program is consistently ranked among the top globally, providing a prestigious qualification recognized by employers.
- International students create a vibrant and diverse learning environment.
- Students have the opportunity to learn from leading faculty members who are experts in their fields.
- Access to advanced laboratories and technologies enhances hands-on learning.
- Strong industry ties facilitate internship opportunities that often lead to job placements.
- Graduates enjoy excellent career prospects, with many securing positions in leading companies worldwide.
Throughout the MSc in Data Science and Analytics program, students will develop a variety of essential skills, including:
- Technical skills necessary for data analysis, such as data mining, machine learning, and statistical modeling.
- Critical thinking and problem-solving abilities crucial for tackling complex data challenges.
- Hands-on experience with state-of-the-art tools and technologies.
- Collaboration skills through engagement in real-world projects and research opportunities.
These skills are directly applicable in various industries and are designed to prepare students for successful careers in data science and analytics.
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