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Combining computer science, statistics, artificial intelligence
and technology with liberal arts
Designed by a group of experts with diverse academic backgrounds,
this programme trains students in the fundamental principles and practical
applications of data science. They learn about the scientific process and
computational, mathematical and statistical methods of data collection, along
with the essentials of analysis and presentation. This enables them to solve
problems that arise in the fields of science, social sciences, the arts and
business.
A unique programme combining computing, statistics, artificial
intelligence (AI) and the arts
The programme is managed by the Department of Computing and
Decision Sciences, which is part of the Faculty of Business. There is also
significant assistance from the University’s Science Unit and the Faculties of
Arts and Social Sciences. Unlike other Data Science programmes in Hong Kong,
the emphasis is on providing a balanced coverage of computer science,
statistics/mathematics and artificial intelligence, with a strong liberal arts
foundation. The programme also focuses on applications in the fields of
science, social sciences, arts and business. This helps students to develop
technical skill sets in big data analytics, artificial intelligence, and data
visualisation, as well as the ability to hypothesise, experiment, and tells
stories with data.
Diverse knowledge for all-round professionals
Besides offering lectures and tutorials delivered by outstanding
academics at Lingnan, the programme regularly invites practitioners from the
worlds of science, social sciences, arts and business to share their experience
and know-how. This ensures students acquire practical skills and a wide range
of new insights. To enhance their employability, students also take electives
that are either application-oriented or advanced-level courses, according to
their interests and future career plans.
In addition, the liberal arts training offered by Lingnan helps to
hone students’ critical thinking, creativity, and communication skills. The
ability to communicate effectively makes it easier for graduates to work in
interdisciplinary and cross-cultural teams and organisations other than
information technology (IT) companies, which are increasingly aware of the
importance of data science.
Graduates are also well-equipped to take on positions as analysts
for business enterprises, banks and financial institutions, public utilities,
educational institutes, and management consulting firms. Typically, they find
starting roles as data scientists, business analysts, database administrators,
application developers, and project managers.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Combining computer science, statistics, artificial intelligence
and technology with liberal arts
Designed by a group of experts with diverse academic backgrounds,
this programme trains students in the fundamental principles and practical
applications of data science. They learn about the scientific process and
computational, mathematical and statistical methods of data collection, along
with the essentials of analysis and presentation. This enables them to solve
problems that arise in the fields of science, social sciences, the arts and
business.
A unique programme combining computing, statistics, artificial
intelligence (AI) and the arts
The programme is managed by the Department of Computing and
Decision Sciences, which is part of the Faculty of Business. There is also
significant assistance from the University’s Science Unit and the Faculties of
Arts and Social Sciences. Unlike other Data Science programmes in Hong Kong,
the emphasis is on providing a balanced coverage of computer science,
statistics/mathematics and artificial intelligence, with a strong liberal arts
foundation. The programme also focuses on applications in the fields of
science, social sciences, arts and business. This helps students to develop
technical skill sets in big data analytics, artificial intelligence, and data
visualisation, as well as the ability to hypothesise, experiment, and tells
stories with data.
Diverse knowledge for all-round professionals
Besides offering lectures and tutorials delivered by outstanding
academics at Lingnan, the programme regularly invites practitioners from the
worlds of science, social sciences, arts and business to share their experience
and know-how. This ensures students acquire practical skills and a wide range
of new insights. To enhance their employability, students also take electives
that are either application-oriented or advanced-level courses, according to
their interests and future career plans.
In addition, the liberal arts training offered by Lingnan helps to
hone students’ critical thinking, creativity, and communication skills. The
ability to communicate effectively makes it easier for graduates to work in
interdisciplinary and cross-cultural teams and organisations other than
information technology (IT) companies, which are increasingly aware of the
importance of data science.
Graduates are also well-equipped to take on positions as analysts
for business enterprises, banks and financial institutions, public utilities,
educational institutes, and management consulting firms. Typically, they find
starting roles as data scientists, business analysts, database administrators,
application developers, and project managers.
Admission Requirements
23+
4+
590+
6+
79+
4 Years
Sep
Tuition Fee and Scholarships
Domestic Students
5,390 USD
-
International Students
18,566 USD
-
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science
Lingnan University, Hong Kong, Hong Kong SAR
48 monthsProgram duration
18,566 USDTuition Fee/year
YesScholarships
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Combining computer science, statistics, artificial intelligence and technology with liberal arts
Designed by a group of experts with diverse academic backgrounds, this programme trains students in the fundamental principles and practical applications of data science. They learn about the scientific process and computational, mathematical and statistical methods of data collection, along with the essentials of analysis and presentation. This enables them to solve problems that arise in the fields of science, social sciences, the arts and business.
A unique programme combining computing, statistics, artificial intelligence (AI) and the arts
The programme is managed by the Department of Computing and Decision Sciences, which is part of the Faculty of Business. There is also significant assistance from the University’s Science Unit and the Faculties of Arts and Social Sciences. Unlike other Data Science programmes in Hong Kong, the emphasis is on providing a balanced coverage of computer science, statistics/mathematics and artificial intelligence, with a strong liberal arts foundation. The programme also focuses on applications in the fields of science, social sciences, arts and business. This helps students to develop technical skill sets in big data analytics, artificial intelligence, and data visualisation, as well as the ability to hypothesise, experiment, and tells stories with data.
Diverse knowledge for all-round professionals
Besides offering lectures and tutorials delivered by outstanding academics at Lingnan, the programme regularly invites practitioners from the worlds of science, social sciences, arts and business to share their experience and know-how. This ensures students acquire practical skills and a wide range of new insights. To enhance their employability, students also take electives that are either application-oriented or advanced-level courses, according to their interests and future career plans.
In addition, the liberal arts training offered by Lingnan helps to hone students’ critical thinking, creativity, and communication skills. The ability to communicate effectively makes it easier for graduates to work in interdisciplinary and cross-cultural teams and organisations other than information technology (IT) companies, which are increasingly aware of the importance of data science.
Graduates are also well-equipped to take on positions as analysts for business enterprises, banks and financial institutions, public utilities, educational institutes, and management consulting firms. Typically, they find starting roles as data scientists, business analysts, database administrators, application developers, and project managers.
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Combining computer science, statistics, artificial intelligence and technology with liberal arts
Designed by a group of experts with diverse academic backgrounds, this programme trains students in the fundamental principles and practical applications of data science. They learn about the scientific process and computational, mathematical and statistical methods of data collection, along with the essentials of analysis and presentation. This enables them to solve problems that arise in the fields of science, social sciences, the arts and business.
A unique programme combining computing, statistics, artificial intelligence (AI) and the arts
The programme is managed by the Department of Computing and Decision Sciences, which is part of the Faculty of Business. There is also significant assistance from the University’s Science Unit and the Faculties of Arts and Social Sciences. Unlike other Data Science programmes in Hong Kong, the emphasis is on providing a balanced coverage of computer science, statistics/mathematics and artificial intelligence, with a strong liberal arts foundation. The programme also focuses on applications in the fields of science, social sciences, arts and business. This helps students to develop technical skill sets in big data analytics, artificial intelligence, and data visualisation, as well as the ability to hypothesise, experiment, and tells stories with data.
Diverse knowledge for all-round professionals
Besides offering lectures and tutorials delivered by outstanding academics at Lingnan, the programme regularly invites practitioners from the worlds of science, social sciences, arts and business to share their experience and know-how. This ensures students acquire practical skills and a wide range of new insights. To enhance their employability, students also take electives that are either application-oriented or advanced-level courses, according to their interests and future career plans.
In addition, the liberal arts training offered by Lingnan helps to hone students’ critical thinking, creativity, and communication skills. The ability to communicate effectively makes it easier for graduates to work in interdisciplinary and cross-cultural teams and organisations other than information technology (IT) companies, which are increasingly aware of the importance of data science.
Graduates are also well-equipped to take on positions as analysts for business enterprises, banks and financial institutions, public utilities, educational institutes, and management consulting firms. Typically, they find starting roles as data scientists, business analysts, database administrators, application developers, and project managers.
Admission Requirements
Tuition Fee and Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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