1. 1 MSc in Data Science and Business Statistics Orientation 31 July 2013

2. 2 Management Team Programme Director: Programme Director: Prof. Chan Ping Shing Email: benchan@cuhk.edu.hk Administrative Support: Administrative Support: Ms. Iris Chan Email: wwchan@sta.cuhk.edu.hk Tel: 3943 1746

3. 3 Programme Requirements Complete a minimum of 8 electives Complete a minimum of 8 electives Minimum cumulative GPA of 2.0 Minimum cumulative GPA of 2.0

4. 4 Teaching Terms 2013/14 First term 2 September 2013 (Mon) – 30 November 2013 (Sat) Course examinations 2 December 2013 (Mon) – 7 December 2013 (Sat) Second term 6 January 2014 (Mon) – 17 April 2014 (Thur) Course examinations 22 April 2014 (Tue) – 28 April 2014 (Mon)

5. Teaching Timetable (Term 1) Class CodeCourse TitlePeriodRoom RMSC5101 Statistical Methods in Risk Mgt & Finance 金融巿場的統計建模 Thu 06:30PM - 09:30PMLSB_LT2 RMSC6001 Interest Rates & Fixed Incomes Risk Mgt 利率及固定收益證券之風險管理 Tue 06:30PM - 09:30PMYIA_201 STAT5101 Foundations of Data Science 數據科學基礎 Wed 06:30PM - 09:30PMYIA_201 STAT5103 High-Dimensional Data Analysis 高維數據分析 Sat 02:30PM - 05:15PMFYB_UG02 STAT6104 Financial Time Series 財務時間序列 Mon 06:30PM - 09:30PMYIA_201 STAT6107 Selected Topics on Data Sci. & Business Stat. 數據科學及商業統計專題討論 Fri 06:30PM - 09:30PMYIA_403 5

6. Teaching Timetable (Term 2) Class CodeCourse TitlePeriodRoom STAT5102 Regression in Practice 務實迴歸分析 Tue 06:30PM - 09:30PMYIA_405 STAT5104 Data Mining 數據挖掘 Mon 06:30PM - 09:30PMYIA_201 STAT6101 Statistics for Management 管理統計 Fri 06:30PM - 09:30PMYIA_201 STAT6103 Simulations & Statistical Computing 模擬方法及統計運算 Sat 02:30PM - 05:30PMYIA_502 STAT6105 Basic Actuarial Principles & Their Applications 精算學基本原理及應用 Thu 06:30PM - 09:30PMCKB_UG05 STAT6106 Applied Bayesian Methods 應用貝葉斯方法 Wed 06:30PM - 09:30PMAIT_212 6

7. 7 Building Abbreviations YIA: Yasumoto International Academic Park 康 本國際學術園 YIA: Yasumoto International Academic Park 康 本國際學術園 FYB: Wong Foo Yuen Building 王福元樓 FYB: Wong Foo Yuen Building 王福元樓 CKB: Chen Kou Ben Building 陳國本樓 CKB: Chen Kou Ben Building 陳國本樓 LSB: Lady Shaw Building 邵逸夫夫人樓 LSB: Lady Shaw Building 邵逸夫夫人樓 AIT: An Integrated Teaching Building 綜合教學 大樓 AIT: An Integrated Teaching Building 綜合教學 大樓

8. 8 Term 1 Courses RMSC5101: Statistical Methods in Risk Management and Finance RMSC5101: Statistical Methods in Risk Management and Finance – Chan Ngai Hang RMSC6001: Interest Rates and Fixed Incomes Risk Management RMSC6001: Interest Rates and Fixed Incomes Risk Management – Lee Pak Kuen Philip

9. 9 Term 1 Courses STAT5101: Foundations of Data Science STAT5101: Foundations of Data Science – Song Xinyuan STAT5103: High-Dimensional Data Analysis STAT5103: High-Dimensional Data Analysis – Chong Tai Leung

10. 10 Term 1 Courses STAT6104: Financial Time Series STAT6104: Financial Time Series – Yau Chun Yip STAT6107: Selected Topics on Data Science and Business Statistics STAT6107: Selected Topics on Data Science and Business Statistics – Chan Wai, Fred Ho

11. 11 Term 2 Courses STAT5102: Regression in Practice STAT5102: Regression in Practice – Chan Ping Shing STAT5104: Data Mining STAT5104: Data Mining – Leung Pui Lam STAT6101: Statistics for Management STAT6101: Statistics for Management –Ho Kwok Wah

12. 12 Term 2 Courses STAT6103: Simulations and Statistical Computing STAT6103: Simulations and Statistical Computing – Li Kim Hung STAT6105: Basic Actuarial Principles and Their Applications STAT6105: Basic Actuarial Principles and Their Applications STAT6106: Applied Bayesian Methods STAT6106: Applied Bayesian Methods – Li Kim Hung

13. 13 Unsatisfactory Performance A student shall be required to discontinue studies if: a) the cumulative GPA is 1.0 or below, or b) the student fails to have probation lifted after being put on academic probation for two consecutive terms of attendance, or c) additional requirements laid down for the programme by the Graduate Division concerned are not satisfied *A student shall be put on academic probation if the cumulative GPA is below 2.0 in the preceding term

14. 14 Academic Honesty and Plagiarism The University places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating in examinations and plagiarism. The University places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating in examinations and plagiarism. Students can refer to the website http://www.cuhk.edu.hk/policy/academichonest y/index.htm for a guide on academic honesty for students. Students can refer to the website http://www.cuhk.edu.hk/policy/academichonest y/index.htm for a guide on academic honesty for students. http://www.cuhk.edu.hk/policy/academichonest y/index.htm http://www.cuhk.edu.hk/policy/academichonest y/index.htm

15. 15 MyCUHK MyCUHK is a one-stop information portal for personalized access to various online resources MyCUHK is a one-stop information portal for personalized access to various online resources Some of the most frequently used are: Some of the most frequently used are:  CUSIS and MyStudy: access of e-learning platform and perform course selection (guidelines on course selection: www.cuhk.edu.hk/gss/crs_reg)  Webmail: send/receive your emails through the Campus-wide Email System

16. 16 Action Guide Perform course registration at MyCUHK during course registration period 10:00am on 6 August – 5:30pm on 9 August 2013 with the online registration login ID and password on your admission notification Perform course registration at MyCUHK during course registration period 10:00am on 6 August – 5:30pm on 9 August 2013 with the online registration login ID and password on your admission notification ITSC will send a 6-digit V-code to you by email or SMS starting from 20 August 2013 ITSC will send a 6-digit V-code to you by email or SMS starting from 20 August 2013 Use the V-code to retrieve the Computing Accounts Information (CAI) and CWEM password at http://cai.itsc.cuhk.edu.hk Use the V-code to retrieve the Computing Accounts Information (CAI) and CWEM password at http://cai.itsc.cuhk.edu.hk http://cai.itsc.cuhk.edu.hk The CAI and CWEM password can be used to access the student portal MyCUHK The CAI and CWEM password can be used to access the student portal MyCUHK

17. 17 Student ID Card Collection Students may collect their student ID card (CU Link) at CU Link Card Centre during office hours. Students may collect their student ID card (CU Link) at CU Link Card Centre during office hours. For your convenience, we may collect your student cards on behalf of you and then distribute them to you in classes. For your convenience, we may collect your student cards on behalf of you and then distribute them to you in classes. Please sign your name on the sign-up sheet if you wish to do so. Please sign your name on the sign-up sheet if you wish to do so.

18. 18 Campus Parking Pre-paid parking coupons are available for campus parking ($20/5hrs). Pre-paid parking coupons are available for campus parking ($20/5hrs). The application form is available at http://www.cuhk.edu.hk/security_unit/eLabel.html The application form is available at http://www.cuhk.edu.hk/security_unit/eLabel.html Please send the completed form to Iris Chan by mail, email or fax. Please send the completed form to Iris Chan by mail, email or fax. Bring along the necessary documents to Security Office for purchase of parking coupons. Bring along the necessary documents to Security Office for purchase of parking coupons.

19. 19 Useful Links Department Website: www.sta.cuhk.edu.hk Department Website: www.sta.cuhk.edu.hkwww.sta.cuhk.edu.hk Programme Website: www.sta.cuhk.edu.hk/MScDBS Programme Website: www.sta.cuhk.edu.hk/MScDBS www.sta.cuhk.edu.hk/MScDBS Graduate School: www2.cuhk.edu.hk/gss Graduate School: www2.cuhk.edu.hk/gss Campus Map: www.cuhk.edu.hk/english/campus/cuhk- campus-map.html Campus Map: www.cuhk.edu.hk/english/campus/cuhk- campus-map.html www.cuhk.edu.hk/english/campus/cuhk- campus-map.html www.cuhk.edu.hk/english/campus/cuhk- campus-map.html MyCUHK: https://portal.cuhk.edu.hk MyCUHK: https://portal.cuhk.edu.hkhttps://portal.cuhk.edu.hk

20. 20 Thank you