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Computer Science
Statistics

CAREER PATH

Business Intelligence Analysts

A business intelligence analyst, also known as a BI analyst, uses data and other information to help organizations make sound business decisions, including: Breaking down key business data, Interpreting the data and Sharing findings.

Business Intelligence Analysts

A business intelligence analyst, also known as a BI analyst...

Cloud Infrastructure Architect

A Cloud Infrastructure Architect is an IT professional who supervises an organization’s cloud computing ecosystem. This includes cloud adoption, cloud application design, and cloud management and monitoring. Cloud architects manage application architecture and its deployment in a cloud-based environment. This includes the public cloud, the private cloud, and the hybrid cloud.

Cloud Infrastructure Architect

A business intelligence analyst, also known as a BI analyst...

Data Engineers

Data engineering is the practice designing and building systems for collecting, storing, and analyzing data at scale. It is a broad field with applications in just about every industry. Organizations have the ability to collect massive amounts of data, and they need the right people and technology to ensure the data is in a highly usable state by the time it reaches the data scientists and analysts.

Data Engineers

A business intelligence analyst, also known as a BI analyst...

Data Modellers

Data Modelers are Systems Analysts who design computer databases that translate complex business data into usable computer systems. Data Modelers work with data architects to design databases that meet organizational needs using conceptual, logical, and physical data models. Their models are designed to improve efficiency and outputs, and may focus on issues such as reducing data redundancy or improving data movement across systems.

Data Modellers

A business intelligence analyst, also known as a BI analyst...

Data Scientists

Data scientists determine the questions their team should be asking and figure out how to answer those questions using data. They often develop predictive models for theorizing and forecasting. Including: Find patterns and trends in datasets to uncover insights; Create algorithms and data models to forecast outcomes; Use machine learning techniques to improve the quality of data or product offerings; Communicate recommendations to other teams and senior staff; Stay on top of innovations in the data science field.

Data Scientists

A business intelligence analyst, also known as a BI analyst...

Data Warehouse Architects

The job of a data architect is to develop, analyze, and administer data, data systems, computer systems, and anti-hacking software for organizations. Data architects use their sophisticated design and development skills to collect data and translate it for use in computer applications and systems.

Data Warehouse Architects

A business intelligence analyst, also known as a BI analyst...

Enterprise Architect

An enterprise architect is responsible for the upkeep and maintenance of an organization’s IT networks and services. As an enterprise architect, you will be responsible for overseeing, improving and upgrading enterprise services, software and hardware. You will also need to stay on top of the latest trends and technologies and keep an eye out for any software, services or hardware that might improve business processes.

Enterprise Architect

A business intelligence analyst, also known as a BI analyst...

Machine Learning Engineer

Machine Learning Engineers are highly skilled programmers who develop artificial intelligence (AI) systems that use large data sets to research, develop, and generate algorithms that can learn and make predictions. Overall, this role is responsible for designing machine learning systems, which involves assessing and organizing data, executing tests and experiments, and generally monitoring and optimizing machine learning processes to help develop strong performing machine learning systems.

Machine Learning Engineer

A business intelligence analyst, also known as a BI analyst...

Machine Learning Scientists

Machine learning scientists often have the word ‘Research’ in their title as well. This means that you may focus more on researching algorithms in general before implementing a more simple approach.

Machine Learning Scientists

A business intelligence analyst, also known as a BI analyst...

Research Analysts

A research analyst is responsible for researching, analyzing, interpreting, and presenting data related to markets, operations, finance/accounting, economics, customers, and other information related to the field they work in. A research analyst is typically very quantitative, analytical, logical, and good at managing numbers and data. This guide will break down the main aspects of being an analyst in different industries, with a focus on the finance industry.

Research Analysts

A business intelligence analyst, also known as a BI analyst...

The Computational Data Science (CDAS) programme, through the synergy of the strengths of the Department of Computer Science and Engineering and the Department of Statistics, focuses on the in-depth academic training in the domain of computational data science. It is designed to manufacture mathematical, technical and analytical skills to create solutions to lead data-driven decision making.

Programme Leaflet
Study Scheme 22-23
Study Scheme 23-24
Change Major to CDAS_notice (Deadline: 5:00pm, 7 March 2024)
CUHK Virtual Information Day 2021 Programme Talk Slides
CUHK Virtual Information Day Programme Talk recording
Public Lecture Series 2022 - From Big Data to Smart Data (Feb 25)

OBJECTIVE

It aims to equip students with the capabilities of applying both

high-performance parallel and distributed computing for big data manipulation, and

data-driven statistical procedures, methodologies and theories for mining patterns, making predictions, and discovering sciences from large and complex datasets.

Data Modeling
Data Collection
Data Analysis

MISSION

Enable students to develop cutting-edge massive data analytics and management solutions that are of practical interest to academics, industry, and society

Nurture local talents in computational statistics related applications to meet rising demand for data driven in the Information Age

ADMISSION OVERVIEW

Duration of Study

4 Years

Planned number of students Intake:

20

Jupas Code

JS4416

NEWS & EVENTS

2022-06-10
中大計算數據科學學士課程培養跨學科專才
2022-04-01
即時-港聞-每日雜誌-疫情揭醫療管理不足-大學急培育跨科人才
2021-11-23
中大3學院合辦新課程-培育生物科技創業人才
2021-11-23
即時-港聞-大學聯招-中大跨學院新課程-教授生物科技創業
2021-11-23
中大跨學院新課程-教授生物科技創業
2021-11-23
生物科技 创业 医疗管理 中大新课程培育跨界全才
2021-11-23
【JUPAS】中大3個學院合辦學士學位課程 培育兼具生物科技及商業知 識人才
2021-11-23
CUHK launches four new Bachelor of Science programmes
2021-11-22
大學聯招|中大跨學院新課程 教授生物科技創業