Big Data Technology

课程简介

Big Data Technology 课程名称：Master of Science Program in Big Data Technology 学位类型：理学硕士（Big Data Technology） 修读模式：全日制或兼读制 学制：全日制 : 1 年 兼读制 : 2 年s 学费：全日制: 港币350,000 兼读制: 港币290,000 New students admitted with credit transfer are also required to pay the full program fee. Students who take additional courses or need to retake any courses are required to pay additional fee. 开设学院/学系：Department of Computer Science and Engineering, School of Engineering Department of Mathematics, School of Science 官方

关键信息

入学要求

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission. 1. General Admission Requirements of the University Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification. 2. English Language Admission Requirements Applicants have to fulfill English Language requirements with one of the following proficiency attainments: TOEFL iBT: 80 (for tests taken prior to 21 January 2026) * 4.5 (for tests taken from 21 January 2026 onwards) * TOEFL pBT: 550 TOEFL Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections) IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5 * * Refers to scores in one single attempt only. Test at home option is not accepted. Applicants are not required to present TOEFL or IELTS score if their first language is English, or they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English. 3. Program-Specific Admission Requirements A bachelor's degree in Computer Engineering, Computer Science, Mathematics or a related area, or (i) A bachelor’s degree in other disciplines and (ii) relevant work experience in IT and Mathematics related fields 4. Additional Information Applicants who are holders of the MicroMasters Program in Big Data Technology certificate from HKUST and edX may apply for: credit transfer of 9 credits; exemption of 4 core courses and substitution with 3 credits of Independent Project; tuition fee reduction with reference to fee of the MicroMasters Program in Big Data Technology. Integrated Bachelor-Master Pathway Only for HKUST students in Year 3 or above who are studying a bachelor's degree in Artificial Intelligence (AI), Computer Engineering (CPEG), Computer Science (COMP/COSC), Data Science and Technology (DSCT), Information Systems, Business Statistics and Operations Management (RMBI), Mathematics (MATH), and Mathematics and Economics (MAEC). Admission depending on academic excellence. Successful applicants will receive a conditional offer for admission to MSc(BDT) and need to pay a deposit at the prevailing deposit rate. They will be allowed to start taking MSc(BDT) courses in their final year of undergraduate study, and will enter the MSc(BDT) Program upon successful completion of the undergraduate degree. Upon entering MSc(BDT), they can transfer up to 6 credits taken during the undergraduate study to fulfill the MSc(BDT) program requirements. They will pay tuition fee for the remaining credits on a pro-rata basis, with a minimum payment for 24 credits. 原文链接：https://prog-crs.ust.hk/pgprog/2027-28/msc-bdt/ 二、课程简介（英文原文） Big data is poised to change the way enterprises function and a society operates, and is changing the way science and engineering is conducted. Jointly offered by the Departments of Computer Science and Engineering and Mathematics, the MSc program integrates different disciplines together to allow students to know all the important aspects of the big data and how it is used in the real world. 三、学习目标（英文原文） On successful completion of the program, graduates will be able to: Identify, explain, and use Big Data infrastructure. Solve Big Data integration and storage problems. Perform various data analytic tasks using Big Data management and computing techniques. Derive knowledge and strategies from Big Data analytics and apply them to privacy protection and policy making. Investigate existing problems on Big Data and conduct original Big Data research. 四、课程设置（英文原文） Minimum Credit Requirement 30 credits Credit Transfer Subject to the approval of the Program Director and the University regulations governing credit transfer, a maximum of 9 credits can be transferred to the program. Holders of the MicroMasters Program in Big Data Technology certificate from HKUST and edX may be granted credit transfer of 9 credits. Core Courses 12 credits MSBD 5001 MSBD 5002 MSBD 5003 MSBD 5004 Subject to the approval of the Program Director, holders of the MicroMasters Program in Big Data Technology certificate may be exempted from the above core courses and substitute with 3 credits of MSBD 6910 to fulfill the core course requirement. MSBD 6910 Elective Courses 18 credits MSBD 5005 MSBD 5006 MSBD 5007 MSBD 5008 MSBD 5009 MSBD 5010 MSBD 5012 MSBD 5013 MSBD 5015 MSBD 5016 MSBD 5017 MSBD 5018 MSBD 5019 MSBD 5020 MSBD 5021 MSBD 5022 MSBD 5023 MSBD 6000 MSBD 6910 Remarks Subject to the approval of the Program Director, students may take a maximum of 6 credits of CSIT courses from the MSc Program in Information Technology as partial fulfillment of the graduation requirements of the program. Part-time students may take a maximum of 9 credits in each term. Students failing to meet the graduation grade average (GGA) requirement of 2.850 or above are required to repeat or take additional course(s) even if they attain passing grades for all courses.

课程结构

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