Preparation
Course Detail
| Key area of study | A04 - COMPUTER SCIENCE AND INFORMATION TECHNOLOGY |
| Course name (English) | MASTER OF SCIENCE IN DATA-DRIVEN MODELING |
| Course name (Chinese) | 理學碩士(數據建模) |
| Course code | 34M120991 |
| Institution name (English) | THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY (HKUST) |
| Institution name (Chinese) | 香港科技大學 |
| Institution code | 003 |
| Institution phone |
請點擊查詢院校電話 Please click here for Enquiry Hotline |
| Award | MASTER |
| Course fee (HK$) | $180000 |
| QR Number | 19/000920/L6 |
| QF Level | 6 |
| Remark |
Notes / 附註: *APPLICANT PURSUING THIS COURSE WITH COURSE COMMENCEMENT DATE FALLING AFTER 18 SEPTEMBER 2023 IS NOT ELIGIBLE TO CLAIM REIMBURSEMENT FROM CEF. / 申請人報讀於二零二三年九月十八日後開課的課程並不能申領基金發還款項。 Entry Requirements / 入學要求: 1. GENERAL ADMISSION REQUIREMENTS -OBTAINED A BACHELOR’S DEGREE FROM A RECOGNIZED INSTITUTION, OR AN APPROVED EQUIVALENT QUALIFICATION 2. ENG LANG. REQUIREMENT -FULFILL ONE OF THE FOLLOWING PROFICIENCY ATTAINMENTS: A) TOEFL-IBT: 80 B) TOEFL-PBT: 550 C) TOEFL-REVISED PAPER-DELIVERED TEST: 60 (TOTAL SCORES FOR READING, LISTENING AND WRITING SECTIONS) D) IELTS (ACADEMIC MODULE): OVERALL SCORE: 6.5 AND ALL SUB-SCORE: 5.5 APPLICANTS ARE NOT REQUIRED TO PRESENT TOEFL OR IELTS SCORE IF I) THEIR FIRST LANG. IS ENG OR II) OBTAINED THE BACHELOR'S DEGREE (OR EQUIVALENT) FROM AN INSTITUTION WHERE THE MEDIUM OF INSTRUCTION WAS ENG. 3. ADDITIONAL INFORMATION A BACHELOR’S DEGREE IN SCIENCE OR ENGINEERING DISCIPLINES, OR A BACHELOR’S DEGREE IN OTHER DISCIPLINE AND: A) HAVE RELEVANT WORKING EXP. IN COMPUTATION-RELATED FIELDS, AND B) HAVE WORKING KNOWLEDGE IN AT LEAST ONE COMPUTER LANG., AND BASIC TRAINING IN CALCULUS AND LINEAR ALGEBRA. Course Outline / 課程大綱: CORE COURSES (5 COURSES WITH TOTAL: 15 CREDITS) 39 HOURS EACH 1. MSDM 5001 INTRODUCTION TO COMPUTATIONAL AND MODELING TOOLS 2. MSDM 5002 SCIENTIFIC PROGRAMMING AND VISUALIZATION 3. MSDM 5003 STOCHASTIC PROCESSES AND APPLICATIONS 4. MSDM 5004 NUMERICAL METHODS AND MODELING IN SCIENCE 5. MSDM 5005 INNOVATION IN PRACTICE ELECTIVE COURSES (CHOOSE 5 COURSES WITH TOTAL: 15 CREDITS) 39 HOURS EACH 1. MSDM 5051 ALGORITHM AND OBJECT-ORIENTED PROGRAMMING FOR MODELING 2. MSDM 5053 QUANTITATIVE ANALYSIS OF TIME SERIES 3. MSDM 5054 STATISTICAL MACHINE LEARNING 4. MSDM 5056 NETWORK MODELING 5. MSDM 5058 INFORMATION SCIENCE 6. MSDM 5059 NUMERICAL OPTIMIZATION AND APPLICATIONS 7. MSDM 6980 COMPUTATIONAL MODELING AND SIMULATION PROJECT 8. PHYS 5120 COMPUTATIONAL ENERGY MATERIALS AND ELECTRONIC STRUCTURE SIMULATIONS Instructors' Qualifications / 導師資歷: MUST HAVE A PHD DEGREE / HOLD A PROFESSOR OR LECTURER RANK AND POSSESS RELEVANT EXPERIENCE IN COURSE MANAGEMENT. Assessment / 課程評核要求: (A) ASSESSMENT ITEMS AND THEIR WEIGHTINGS PROJECT, ASSIGNMENT, HOMEWORK AND CLASSWORK, MIDTERM, IN CLASS PARTICIPATION, EXAM, PRESENTATION, QUIZ AND FINAL REPORT ETC. PLEASE REFER TO THE INSTITUTION FOR DETAILED BREAKDOWN OF EACH MODULE (B) COMPLETION REQUIREMENTS 1. COMPLETE A MINIMUM 30 CREDITS INCLUDING 15 CREDITS OF CORE COURSES AND 15 CREDITS OF ELECTIVE COURSES; AND 2. ATTAIN A PASSING GRADE C IN EACH COURSE; AND 3. ATTAIN A GRADUATION GRADE AVERAGE (GGA) OF 2.850 (EQUIVALENT TO ~66.28%) OR HIGHER (OUT OF A SCALE OF 4.30). (C) CEF REIMBURSEMENT REQUIREMENTS 1. SAME AS COMPLETION REQUIREMENT 2. AT LEAST 70% ATTENDANCE OF OVERALL PROGRAMME. Delivery Mode / 授課模式: 390 HOURS MODE OF DELIVERY: BOTH FT & PT MODE Course Duration / 課時: 12 MONTHS FOR FULL-TIME; AND 24 MONTHS FOR PART-TIME Effective Date / 課程生效日期: 19/09/2019 CEF Registration Invalid From / 基金課程登記失效日期: 19/09/2023 |
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