Bachelor of Business Administration in Business Analysis · management accounting courses. C 50% E 50% Nil CB2100 Introduction to Financial Accounting CB2200 Business Statistics Introduce

prod

uced

by

Des

ign

and

Prod

uctio

n Se

rvic

es U

P Ci

tyU

College of Business 商學院

Student Handbook

2018-2019

Department of Management Sciences管理科學系

Bachelor of Business Administration in Business Analysis工商管理學士(商業分析)

Department of Management SciencesCollege of BusinessCity University of Hong KongTat Chee AvenueKowloonHong Kong

Tel: (852) 3442 8644Fax: (852) 3442 0189Email: [email protected]: http://www.cb.cityu.edu.hk/ms/bbabanl/

1

Contents

Welcome Message ......................................................................................................... 3 About the Department of Management Sciences .……………………………..… 4 BBA Business Analysis ….…………………………………………………………..……………………. 5 Programme Highlights……………………………………………………………………………..……… 6 Programme Structure…………………………………………………………………………………….… 10 Course Description …………………………………………………………………………………………. 14 Three Focus Areas in BANL ………………………………………………………………………... 20 Career Prospects for Students …………………………………………………………………….. 21 Where Our Graduates Work ……………………………………………………………………… 22 Preparation for Professional Qualifications ……………………………………………… 23 Assessment and Awards ……………………………………………………………………………… 26 Frequently Asked Questions ………………………………………………………………………. 27 Academic Calendar 2018/2019 ……………………………………………………………….. 30 Important Dates for Academic Year 2018/2019 ………………………………….. 32

2

3

Welcome Message

As a student in our Department, you will benefit from a wide choice of courses, state-of-the-art curricula, and caring academic staff who create a supportive learning environment. Whatever your future career plan may be in the area of Business Analysis or other business disciplines, you will find our programme specially designed and tailored to suit your needs and interests.

Many of our graduates already provided outstanding service as business analysts and managers in Hong Kong and beyond. Working together, we will continue to give you the means to join them.

The purpose of this handbook is to provide you useful information that you will need for your study here. Please read the handbook carefully. Further useful information can also be found in our department’s website (www.cb.cityu.edu.hk/ms/bbabanl) and facebook (https://www.facebook.com/cityuBANL/).

Finally, I wish you the best in your studies and look forward to seeing you during the coming year. Prof Frank Chen Head Department of Management Sciences

4

About the Department of Management Sciences

The Department of Management Sciences at the City University of Hong Kong is

noted for its strong academic programmes. Most of the staff obtained their doctoral degrees from prominent universities in USA, Canada, UK and Australia. Together, they have many years of local and overseas experience in teaching and consulting. The size and the activities of its staff have made the Department one of the largest departments of management sciences in the Asia-Pacific region. The Department has three main functions: teaching, research and professional services. In all three areas, the work carried out is business oriented, with an emphasis on practical application of quantitative skills.

The teaching and degree programmes offered by the Department are wide ranging, and emphasize the applications of quantitative techniques in a very broad sense. It produces graduates who are well received by local business organizations, testified by the positions held by past graduates. The staff’s superior teaching skills are well recognized and the Department has won several Teaching Excellence Awards presented by the University.

5

BBA Business Analysis Discover Smart Insight from Big Data!

Nowadays, managers need to possess both qualitative and quantitative abilities to solve business problems and make decisions. The BBA Business Analysis programme aims to

• provide students with professional training in business analytics, statistics,

business intelligence, risk management, marketing analysis, business knowledge and communication skills;

• develop students’ ability to manage and analyse huge volume of business

data using SAS, SPSS, Excel VBA computing software popularly used in the global business world;

• enable students to solve business problems by a judicious application of

technical and practical skills; • enable students to obtain internationally recognized professional

qualifications including SAS Certification and Financial Risk Manager (FRM) Examinations;

• • prepare students for a statistical, analytical and managerial position in the

financial, commercial, and government sector.

6

Programme Highlights (BBAU4: Cohort 2017; BBAU3, BBAU2: Cohort 2018)

The BBA Business Analysis programme is composed of 1. College core and some major core courses (training on business knowledge); 2. Major core courses (training on analytical, problem-solving and software skills); 3. Major elective courses (group A : further training on business analysis; group

B: courses from AC, EF, IS, MGT, MKT and MS departments and CB3800 Business Practice Internship);

4. Language, Communication and GE courses 5. Minor/elective courses

1. College Core Courses (BBAU4, BBAU3: 27 credit units; BBAU2: 6 credit units)

Course Code Course Title Level Credit Units Remarks

Normative 4-year Degree (BBAU4) CB2100 Introduction to Financial Accounting 2 3 CB2201 Operations Management 2 3 CB2300 Management 2 3 CB2400 Micro-Economics 2 3 CB2500 Information Management 2 3 CB2601 Marketing 2 3 CB3410 Financial Management 3 3 CB4303 Strategy and Policy 4 3 One College Elective (3 credit units) Advanced Standing I (BBAU3) CB2100 Introduction to Financial Accounting 2 3 CB2201 Operations Management 2 3 CB2300 Management 2 3 CB2400 Micro-Economics 2 3 CB2500 Information Management 2 3 CB2601 Marketing 2 3 CB3410 Financial Management 3 3 CB4303 Strategy and Policy 4 3 One College Elective (3 credit units) Advanced Standing II (BBAU2) CB4303 Strategy and Policy 4 3 One College Elective (3 credit units)

7

2. Major Core Courses (30 credit units)


CB2101 Introduction to Managerial Accounting B2 3 Major core course required by CB

CB2200 Business Statistics B2 3 Major core course required by CB

CB2402 Macro-Economics B2 3 Major core course required by CB

MS3111 Quantitative Business Analysis with Visual Basic for Applications

B3 3

MS3251 Analytics Using SAS B3 3 MS3252 Regression Analysis B3 3 MS4212 Predictive Analytics & Forecasting B4 3 MS4224 Enterprise Data Mining B4 3 MS4226 Risk Management Models B4 3 MS4252 Big Data Analytics B4 3

3. Major Elective Courses (BBAU4: 15 credit units; BBAU3, BBAU2: 9 credit units)

(BBAU4: take 5 electives from Groups A and B; at least 2 must be from Group A; BBAU3, BBAU2: take 3 electives from Groups A and B; at least 1 must be from Group A)

Group A (Business Analysis electives)

Course Code Course Title Level Credit Units

Remarks

CB2011 Solving Business Problems with Spreadsheet Modeling

B2 3 Exclusive course: MS3261 Business Modeling with Spreadsheets

MS3224 Business Survey Design B3 3 MS3403 Internship for Business Analysis and

Operations Management B3 3

MS4251 Quantitative Analysis for Marketing B4 3 MS4253 Business Analysis Project B4 3 MS4254 Quantitative Analysis for Economics

and Finance B4 3

MS4262 Advanced Analytics using SAS B4 3

8

Group B (Other electives) (for BBAU4)


AC3202 Corporate Accounting I B3 3 CB3800 Business Practice Internship + B3 3 EF3320 Security Analysis and Portfolio

Management B3 3

EF3333 Financial Systems, Markets and

Instruments B3 3

EF4313 Corporate Finance I B4 3

EF4471 International Finance ^ B4 3

IS2240 Python Programming for Business # B2 3

IS3331 Database Management B3 3

IS3237 Information Service for Business Organizations

B3 3

MGT3306 Organizational Behavior & Human Resources Management

B3 3

MGT3603 Consumer Behavior B3 3

MGT4628 e-Marketing B4 3

MS3106 Simulation B3 3 MS3125 Business Project Management B3 3 MS3322 Quality Management B3 3 MS4227 Pricing & Revenue Management B4 3 MS4232 Casualty Insurance B4 3 MS4241 Life Insurance B4 3

+ Subject to Programme Leader’s approval ^ Only for the purpose of course mapping for joint programme with Columbia University # Subject to approval Group B (Other electives) (for BBAU3, BBAU2) *


CS2360 Java Programming B2 3 CS2468 Data Structures and Data Management B2 3 IS2240 Python Programming for Business # B2 3 MS3106 Simulation B3 3 MS3125 Business Project Management B3 3 MS3322 Quality Management B3 3 MS4227 Pricing & Revenue Management B4 3 Any one Core & Elective course from other BBA Majors

# Subject to approval

9

4. Language, Communication and GE Courses (BBAU4: 30 credit units; BBAU3: 21 credit units; BBAU2: 12 credit units)

English Language Requirement: Students admitted with HKDSE English Level 3 or equivalent are required to complete the 6-credit course EL0200 English for Academic Purposes (EAP). Advanced Standing II students are only required to take GE2402 English for Business Communication.

Chinese Language Requirement: Students scoring below Level 4 in HKDSE Chinese Language, or scoring below Grade D in HKALE AS-level Chinese Language and Culture are required to take a 3-credit unit course CHIN1001 University Chinese I. This requirement is not applicable to Advanced Standing II students.

GE Courses Requirement: Take at least 3 credits from each of the 3 areas: (1) Arts and Humanities; (2) Study of Societies, Social and Business Organizations; (3) Science and Technology. Advanced Standing I and II students are not allowed to take GE courses offered by their own academic unit.

5. Minor/Elective Courses (BBAU4: 18 credit units; BBAU3, BBAU2: exempted)

Students may need to take 18 credits of minor/elective courses to fulfil the minimum credit requirement for graduation.

10

11

Minimum Credits Required

GE: 4 GE courses + 3 College Electives (21 CU)

GE: 2 ENGL + CCIV (9 CU)

College: 8 College Core + 1 College Elective (27 CU)

Major: 12 Major courses + 3 College required courses (45 CU)

Minor/Electives: 5 courses (15 CU)

Free Elective: 1 course (3 CU)

Min. Total: 40 courses (120 CU)

Max. Allowable: 48 courses (144 CU)

Notes:

(1) English Language Requirement:

Students admitted with HKDSE English Level 3 or equivalent are required to complete the 6-credit course EL0200 English for Academic Purposes (EAP) prior to taking the 2 GE English courses (GE1401 and GE2402).

(2) Gateway Education Course Distributional Requirements

Take at least 3 credits from each of the 3 areas:

Area 1: Arts and Humanities

Area 2: Study of Societies, Social and Business Organizations

Area 3: Science and Technology

(3) Chinese Language Requirement

Students scoring below Level 4 in HKDSE Chinese Language, or scoring below Grade D in HKALE AS-level Chinese Language and Culture are required to take a 3-credit unit course CHIN1001 University Chinese I.

(4) Students who do not choose a minor are required to take Free Electives. Major Electives:

Students are required to take 5 electives from Groups A and B and at least 2 must be from Group A in the following list:

Group A : CB2011 Solving Business Problems with Spreadsheet

Modeling MS3224 Business Survey Design MS3403 Internship for Business Analysis and

Operations Management MS4251 Quantitative Analysis for Marketing MS4253 Business Analysis Project MS4254 Quantitative Analysis for Economics and

Finance MS4262 Advanced Analytics Using SAS

Group B : AC3202 Corporate Accounting I CB3800 Business Practice Internship + EF3320 Security Analysis and Portfolio Management EF3333 Financial Systems, Markets and Instruments EF4313 Corporate Finance I IS3331 Database Management IS3237 Information Service for Business Organizations MGT3306 Organizational Behavior & Human Resources Management MKT3603 Consumer Behavior MKT4628 e-Marketing MS3106 Simulation MS3125 Business Project Management MS3322 Quality Management MS4227 Pricing & Revenue Management

MS4232 Casualty Insurance MS4241 Life Insurance

12

13

14

Course Description Major Core Courses

Description Assessment Pattern

Pre-requisite Precursor

CB2101 Introduction to Managerial Accounting

Provide students with basic knowledge of management accounting for a career in business as well as being a foundation for advanced management accounting courses.

C 50% E 50%

Nil CB2100 Introduction to Financial Accounting

CB2200 Business Statistics

Introduce statistical concepts and techniques, such as descriptive statistics, probability distributions, inferential statistics and simple linear regression, commonly used in business management decision making.

C 50% E 50%

Nil Nil

CB2402 Macro-Economics

Equip students with the knowledge of fundamental macroeconomic principles that will enable them to analyze and predict how the aggregate economy works, and how government policies affect important macroeconomic variables such as national income, unemployment, inflation and interest rates.

C 50% E 50%

CB2400 Micro-Economics

Nil

MS3111 Quantitative Business Analysis with VBA

Introduce how to create business decision support systems using Excel VBA programming language. Students can also use the knowledge learned from this course to develop applications in other areas such as statistical analysis, or financial modeling.

C 100%

Nil Nil

MS3251 Analytics using SAS

Develop students’ analytics technique to access data, manipulate data and do statistical reporting using SAS

C 50% E 50%

Nil CB2200 Business Statistics or equivalent

15

Major Core Courses



MS3252 Regression Analysis

Introduce multiple and logistic regression and analysis of variance techniques and models commonly used in solving business problems.

C 50% E 50%


MS4212 Predictive Analytics & Forecasting

Introduce to the students the commonly used forecasting techniques and the use of statistical packages for implementing these techniques. It includes areas such as smoothing and decomposition methods, regression and univariate time series models.

C 50% E 50%



MS4224 Enterprise Data Mining

Data mining plays a very important role in business-sales, marketing, and customer support. It is being used to discover implicit and useful knowledge from vast datasets. The course covers concepts fundamental to understanding and applications of data mining methods to business problems.

C 100%


CB2200 Business Statistics MS3251 Analytics using SAS

MS4226 Risk Management Models

This course aims to provide students with basic terminology of various risks in complex business situations; discuss widely used techniques to measure and manage risks in financial industries and equip students with modelling and computing skills to solve business problems in the area of risk management.

C 40% E 60%

Nil Nil

MS4252 Big Data Analytics

Develop students’ hands-on experience of construction of data management systems and decision support systems using professional software packages.

C 100%

Nil MS3251 Analytics using SAS

16

Major Elective Courses




Develop students’ ability to formulate, analyse and solve business problems using spreadsheet modeling.

C 60% E 40%

Nil Nil

MS3224 Business Survey Design

Provide students with knowledge about the nature of survey research and the fundamental methodology of conducting survey research in the business field; Provide students with statistical techniques to help with research design, sample design, questionnaire design, fieldwork procedure, data analysis and the presentation of results; Develop students’ computing and analytical skills to solve real-world problems.

C 50% E 50%


MS3403 Internship for Business Analysis and Operations Management

Enrich students’ learning experience through interactions with professionals in the business world through internship tasks; Enable students to gain valuable work experience for acquiring in-depth and practical understanding of business analysis and operation management in business organization between 6 to 12 weeks during the summer semester; Enhance student competitiveness in the job market and discovery experience before their graduation.

C 100%

Nil Nil

MS4251 Quantitative Analysis for Marketing

Develop students’ ability to apply the statistical techniques introduced in the course to solve real world marketing problems. It includes areas such as logit models, principal components analysis, exploratory factor analysis, cluster analysis and multidimensional scaling.

C 50% E 50%



17




MS4253 Business Analysis Project

Develop students’ skills in translating a real problem into a problem statement from unstructured initial ideas, identifying the key issues, defining the scope of the problem and breaking down the work into a set of tasks to be accomplished systematically; Develop students’ problem-solving skills in the business environment by providing them with techniques to break down the work into a set of tasks to be accomplished systematically; Develop students’ analytic ability to integrate and apply the knowledge and quantitative skills, in particular business analytics, statistics and business intelligence techniques, gained in the programme to solve project problems; Develop students’ ability in planning, conducting, managing and controlling their own projects; Provide students with the opportunity to develop their skills in presenting the findings of their own project and explaining the implications of the results in a verbal presentation and written report.

C 100%

One of the following courses:

MS3252 Regression Analysis CB2011 Solving Business Problems with Spreadsheet Modeling MS4212 Predictive Analytics & Forecasting MS4224 Enterprise Data Mining

MS4226 Risk Management Models

Nil

MS4254 Quantitative Analysis for Economics and Finance

Introduce the statistical techniques needed for economic and financial analysis. Topics covered include transfer function models, intervention analysis, spurious regression, cointegration ARCH and GARCH models, and option pricing models.

C 30% E 70%

MS3252 Regression Analysis AND

MS4212 Predictive Analytics & Forecasting

Nil

18




MS4262 Advanced Analytics using SAS

Provide students with concepts and knowledge of advanced analytics using SAS for data preparation and performing sophisticated data analysis so as to deliver information across the organization and solve problem in complex business situations; Enhance students’ analytics to perform effectively and efficiently data analytic technique in different industries such as communications, financial services, the government, insurance, hotels, manufacturing, retail, and banking for analytic purposes, such as to achieve a greater return on customer relations, to measure and manage risk; Develop students’ skills in improving the productivity, automating and customizing data analysis and generating advanced statistical report to different business industries through hands-on experience.

C 50% E 50%


Nil

MS3106 Simulation

Enable students to construct simulation experiments to analyze business problems. It covers topics such as generating random variates, input data analysis, building and validating simulation models, output data analysis, and analysis for the simulation experiment.

C 40% E 60%

CB2200 Business Statistics OR MS3252 Regression Analysis

Nil

19




MS3125 Business Project Management

Provide students with basic concepts and systematic approaches for effective project management; Equip students with quantitative techniques for effective project planning, scheduling, cost control and estimation; Train students to plan, undertake a project either independently or as a team, communicate results, and manage effectively in a multi-project environment; Enable students to learn the practice of leading companies in the planning and scheduling of projects.

C 40% E 60%

CB2201 Operations Management

Nil

MS3222 Quality Management

Provide a comprehensive understanding of quality management for service and manufacturing industry and expose students to the key trends and quality issues of the service and manufacturing industry.

C 50% E 50%

Nil Nil

MS4227 Pricing & Revenue Management

Provide students with an understanding of revenue management; Discuss how to identify and exploit opportunities for revenue optimization in different business contexts; Review the main methodologies used in different areas and survey the pricing strategies and practices in different industries

C 70% E 30%


Nil

20

Three Focus Areas in BANL Major

Business Intelligence (Big Data Analysis) Business Intelligence is the intelligence method used by business to handle large amounts of structured and unstructured data from traditional and social media channels into smart insights for business strategies and decisions.

Business Intelligence is very broad. Our courses on Business Intelligence emphasize on using popular computer software to manage and analyse data “thoroughly” and “deeply”to create more accurate business reporting and make better, fact-based decisions. Our courses can enable students to obtain internationally recognized professional qualifications such as SAS Foundation Certification and SAS Advanced Analytics Certification.

Risk Management Risk Management is to identify, quantify and manage the risks that affect the profitability and existence of a company. Our courses on Risk Management, Statistics and Analytical Methods cover more than 50% of Financial Risk Manager (FRM) Examination. (http://www.garp.org/#!/frm/program-exams)

Marketing Analysis Analysis in Marketing collects, analyses and provides information for making decisions on marketing strategies and plans.

“Market Research Analyst” is one of the Best Business Jobs ranked by US News (http://money.usnews.com/careers/best-jobs/market-research-analyst)

Know more about BANL : For more details of these focus areas in BANL major, please watch the videos in http://www.cb.cityu.edu.hk/ms/bbabanl/programme/.

21

Career Prospects for Students Possessing strong analytical and technical skills, software skills, business knowledge and effective communication, graduates are able to develop statistical, analyst and managerial positions in a variety of business, industry and government related organizations after graduation. Some examples of career choices are shown below: Accounting Retail Accountant Customer and Product Segmentation Associate Auditor Pricing Analyst Manager

Banking and Finance Supply Chain and Logistics Acquisition Risk Manager Business Intelligence Consultant Bank Executive Revenue Management Business Performance Analyst Business Planning Analyst

Information and Communication Credit Risk Analyst Database Marketing Executive Business Intelligence Consultant Fraud Management Pricing Analyst Operations Research Manager Revenue Manager

Government Entertainment Government Statistician

Government Statistical Officer Consumer Data Analyst Research Manager Forecast Analyst

Marketing and Market Research Consultant Market Analyst Market Research Analyst

22

Where Our Graduates Work … A sample of corporations that have employed our graduates include:

Accounting Deloitte Ernst and Young KPMG Banks Bank of China Bank of Communications Bank of East Asia Chong Hing Bank Citibank Citic Ka Wah Bank DBS Bank Dah Sing Bank Hang Seng Bank HSBC PrimeCredit (Asia) Ltd Standard Chartered Bank Wing Lung Bank Consultant Companies SAS Institute Limited Solution Consultant Limited Education Institutions Chinese University of Hong Kong City University of Hong Kong Hong Kong University of Science and Technology Hong Kong School of Motoring The University of Hong Kong Government Departments Census and Statistics Department Education Bureau Fire Services Department (Ambulance Services) Hong Kong Tourism Board Hong Kong Trade Development Council Government Related Organizations Hong Kong Housing Authority Hong Kong Monetary Authority ICAC Nam Long Hospital Prince of Wales Hospital

Insurance Companies AIA International Assurance Company Limited Manulife Hong Kong Principal Insurance Corporation Limited Prudential Assurance Company Limited Market Research Companies ACORN Marketing & Research Consultants Asia Market Intelligence (AMI) Bloomberg Nielsen Corporation Oracle Market Research Corporation Synovate Limited TAYLOR Nelson Sofres Media Companies Hong Kong Broadcast Oriental Daily News Television Broadcasts Limited (TVB) Real Estate Agencies Jones Lang LaSalle (Hong Kong) Midland Realty Group Wharf (Holdings) Limited Retail Burberry Fuji Xerox Johnson & Johnson Lane Crawford Wing On Department Store (HK) Transportation Cathay Pacific Airways Limited HK Airport Service Limited HK Dragon Airlines Limited MTR Others DHL Logistics (HK) Ltd Disneyland Theme Park Hong Kong Electric Group Jardine OneSolution PCCW Wilson Parking

23

Preparation for Professional Qualifications

The BBA Business Analysis programme can enable students to obtain internationally recognized professional qualifications including SAS Foundation Certification, SAS Advanced Analytics Certification and The Financial Risk Manager (FRM).

For SAS Foundation Certification, there is two-level certification: SAS Certified Base Programmer for SAS Credential and The SAS Certified Advanced Programmer for SAS credential. These two credentials are for those to analyze using SAS in different echelon. To obtain these certifications, analytical techniques are required. Students are prepared by studying the courses: MS3251 Analytics Using SAS and MS4262 Advanced Analytics using SAS.

For SAS Advanced Analytics, the SAS Certified Predictive Modeler using SAS Enterprise Miner Credential is available for students who perform predictive analytics. To prepare for the certification, students should study fundamental analytic subjects: CB2200 Business Statistics and MS3252 Regression Analysis and advanced analytic subjects: MS4212 Predictive Analytics & Forecasting, MS4251 Quantitative Analysis for Marketing and MS4224 Enterprise Data Mining.

To prepare student for The Financial Risk Manager (FRM®) designation which is the globally recognized standard for those who manage risk, several subjects are provided including CB2200 Business Statistics, MS3252 Regression Analysis, MS4212 Predictive Analysis & Forecasting, MS4254 Quantitative Analysis for Economics and Finance, and MS4226 Risk Management Models.

24

SAS Exam Who should take the exam? For those who pursue analysts positions in banks and big companies Exam Format: - Around 64 multiple-choice questions - Must achieve score of 70% (Base SAS, EM) and 65% (Advanced SAS) correct to pass - Around 2 hours to complete exam for Base SAS and Advanced SAS and 3 hours for Predictive Modeler exam - Internet-based and closed book Exam time: Twice a year in semester break Exam Results: Exam scores are released immediately after the exam and formal certificates will be available around two weeks later after the exam Benefits of SAS Certification: - Increase your career opportunities and marketability - Enhance your credibility as a technical professional - Assess your knowledge of SAS software - Allow you to earn industry validation for your knowledge - http://support.sas.com/certify/benefits/indiv.html

25

Financial Risk Manager (FRM) Examination Who should take the exam? For those who pursue risk management profession Exam Format: 2 exams – Part 1 and Part 2 Part 1 exam (4 hours) – 100 multiple choice questions Part 2 exam (4 hours) – 80 multiple choice questions Exam time: Twice a year in May and November Exam Results: Exam results are pass/fail and are released via email approximately six weeks after the Exam is administered. Candidates are provided with quartile results that enable them to see how they scored on specific areas relative to other candidates. Benefits of FRM Certification - FRM is the certification recognized among financial risk professionals worldwide.

There are 26,000 certified FRMs practicing worldwide. The FRM professional certification differentiates you from your peers

- Studying the broad concepts underlying risk management will give you a comprehensive

view and appreciation for the role risk management plays in an enterprise - You will be more desirable to executive recruiters and hiring managers since they are

now seeking FRM holders for senior risk management jobs more than ever before - You will be recognized across the globe as a professional in financial risk management Certificate Requirements: - A passing score on the FRM Examination. - Active membership in the Global Association of Risk Professionals. - A minimum of two years’ experience in the area of financial risk management or another

related field including, but not limited to, trading, portfolio management, academic or industry research, economics, auditing, risk consulting, and/or risk technology.

* For those who do not have sufficient work experience may submit your 2 years of work experience within 5 years upon passing the FRM examination.

26

Assessment and Awards

Academic Standing

The grade points for the course grades are given as follows:

Letter Grade A+ A A- B+ B B- C+ C C- D F

Grade Point 4.3 4.0 3.7 3.3 3.0 2.7 2.3 2.0 1.7 1.0 0.0

Based on the grade point awarded and the credit units earned for a course, Grade Point Average (GPA) is calculated and used as an indicator of a student’s academic performance. To have good academic standing, your GPA must attain a minimum level of 1.7. Otherwise you will be given either of the following: (1) academic warning, (2) probation, (3) academic suspension. Students with very bad academic performance will be terminated. For more details about academic standing, please visit our CityU web page at http://www.cityu.edu.hk/arro/

Classification of Awards The University grants bachelor’s degree awards with the following classifications. The following CGPA criteria will be adopted as guidelines for classification of awards:

Awards CGPA

First Class Honours 3.5 or above

Upper Second Class Honours 3.0 – 3.49

Lower Second Class Honours 2.5 – 2.99

Third Class Honours 2.0 – 2.49

Pass 1.7 – 1.99

http://www6.cityu.edu.hk/arro/content.asp?cid=72

Dean’s List At the end of Semester A and Semester B, students’ GPAs are calculated. Where a student over that period has (1) earned 12 credit units or more, (2) achieved a GPA of 3.7 or above and (3) not failed any course, the student is placed on the Dean’s List.

27

Frequently Asked Questions

Where can I find more information on Business Analysis (BANL) major? Department website: www.cb.cityu.edu.hk/ms/bbabanl

Facebook : https://www.facebook.com/cityuBANL/

Whom can I contact for information on Business Analysis (BANL) major? Dr Yeung Miu Han Iris Dr Yuen Hak Keung Major Leader Major Co-Leader Tel: +852 3442 8566 Tel: +852 3442 8579 Email: [email protected] Email: [email protected] Room: AC3-7239 Room: AC3-7272 Dr Tam Mei Ling Susanna Mr. Tam King Hong Patterson Major Co-Leader Major Deputy Leader Tel: +852 3442 7483 Tel:+852 3442 8688 Email: [email protected] Email:[email protected] Room: AC3-7246 Room: AC3-7232 Is the Mathematics requirement for BANL major very high? • All knowledge may be divided into 2 categories: (1) theoretical knowledge and

(2) applied knowledge.

• All courses in BANL major emphasize on the applications of the quantitative techniques to analyse business data and solve business problems. Students need to learn statistical concepts and computational principles, not mathematical proof and derivation of the theories and formulae.

• Computing software popularly used in the global business world is used to do the calculation, not Mathematics.

• Students will study “Business Statistics” course (an introduction course to Statistics) first before advanced techniques.

• So, students do not need to have HKDSE M1 or M2 Mathematics background in taking this major.

28


Is the computing software taught in BANL major difficult to learn? • This major teaches particularly how to use SAS, SPSS and Excel VBA computing

software to manage and analyse large volumes of business data. • These software are popularly used in business firms and government sector. In

particular, SAS is used in banks and big firms. • If these commercial software are not friendly, easy and powerful, no one will use

them. • Because ease of learning SAS and learning curve of SAS may not be the same

for everyone, SI (supplementary instruction) class on SAS is arranged every summer for interested students to learn before the regular class in September.

What is special about BANL major? • This major combines all quantitative techniques (statistics & analytical courses,

business intelligence / big data analysis, risk management, marketing analysis and software skills) and qualitative techniques (business knowledge and communication skills) highly sought after in business in one major.

• All the quantitative techniques are related to each other and build on each other and provide a comprehensive training of business analysis, enabling students to work for a statistical, analytical and managerial position in the government and business sectors.

• SAS software and Data Mining have been taught in BANL/MST major for more than 16 years. Risk Management courses are taught by lecturers with strong professional and research qualification.

• Many courses include projects and cases to develop students’ competency in

applying business analysis techniques to solve real world problems. • There is a wide choice of major electives from other CB departments and

CB3800 Business Practice Internship. • Bank internship is especially arranged for BANL major. There are many MST and

BANL alumni working in banks as credit risk analysts and business analysts.

What professional qualifications can students obtain? • The BANL program can enable students to obtain internationally recognized

professional qualifications, including - SAS Foundation Certification - SAS Advanced Analytics Certification - The Financial Risk Manager

What scholarships and awards can students obtain?

Please refer to department website (http://www.cb.cityu.edu.hk/ms/whyUs/scholarships.cfm) for details.

29


Is it difficult for BANL students to join the exchange program? • There are 3 levels of the Student Exchange program (1) Institutional,

(2) College and (3) Departmental levels. For department level, the Department has its own exchange partners, including universities in the United States, Canada, the United Kingdom, Europe, Asia, and the Mainland.

• Students joining the exchange program level can transfer the college core, college electives, major core, major electives, GE, minor and elective courses.

• There is almost no major core course that needs to be taken in semester A of year 4 for all students.

• If students wish to join the exchange program in semester B of year 4 and find

difficulty or do not wish to transfer the course on Data Mining, they may take this course while on exchange with the special arrangement of the lecturer by means of the internet facilities.

• Since some students may not opt for overseas exchange due to family and other

reasons, our department also organizes study tours from time to time to provide students with a more global perspective.

Are there any internship opportunities? There are two types of internship. • College level -- CB3800 Business Practice Internship

Designed to provide students with real life working experience in local and overseas contexts for a period of time. For BANL students, CB3800 can be counted as a major elective course (subject to Program Leader’s approval)

• Department level -- MS3403 Internship for Business Analysis and Operations Management Bank internship related to analytics jobs is especially arranged for BANL students to apply. There are many other internship opportunities open for all students in the MS Department

What are the career prospects of BANL? 1. The BANL major aims to train professional analyst and managers. 2. Past graduates work in: banking and financial sector, Government departments,

retail and services industry, accounting firms, public utilities corporations 3. Past graduates’ job titles: government statistician, credit risk analyst / officer, credit

MIS analyst, data analyst, bank executive, assistant operations research manager, consultant, administrator, market research executive, business development executive, vice president etc.

30

31

32

Important Dates for Academic Year 2018/2019

Semester A 2018/19 Date Event

31 July 2018 Release of Master Class Schedule for the academic year Release of students' Personal Class Schedule for Semester A in AIMS

6 August 2018 First day for paper add/drop of non web-enabled courses

20 August 2018 First day for online add/drop of web-enabled courses (Please refer to your web registration time tickets)

1 September 2018 Last day to apply for credit transfer/course exemption

3 September 2018 Classes begin

10 September 2018 Last day for course add/drop

15 September 2018 Last day to apply for: reduced study load/exceeding maximum study load withdrawal of studies, leave of absence & late drop of courses with no

tuition fee charged (The acceptance fee paid at the time of admission will not be refunded under any circumstances.)

16 September – 13 October 2018

50% tuition fee charged for withdrawal of studies, leave of absence & late drop of courses

17 September 2018 Due date for Semester A's tuition fees (ONLY applicable to returning students)

24 September – 24 November 2018

Application for graduation in Semester A (NOT applicable to Associate Degree students)

14 October 2018 onwards


15 October 2018 Due date for payment of balance of Semester A's tuition fees

1 – 21 November 2018

Applications for Bachelor's Degree students: add/drop of minors change of home major declaring a second major Application for Associate Degree students in the College of Engineering: programme transfer

7 November 2018 Release of Semester A's examination schedule in AIMS

1 December 2018 Last day of teaching

10 – 22 December 2018

Examination period

From 4 January 2019 Release of Semester A's course grades in AIMS

33


Semester B 2017/18 Date Event

6 November 2018 Release of students' Personal Class Schedule for Semester B in AIMS

17 December 2018* First day for paper add/drop of non web-enabled courses

27 December 2018* First day for online add/drop of web-enabled courses (Please refer to your web registration time tickets)

12 January 2019 Last day to apply for credit transfer/course exemption (Applicable to students admitted in Semester B 2018/19 or current students who have outside work completed after admission to the University)

14 January 2019 Classes begin

21 January 2019 Last day for course add/drop

22 January – 20 May 2019

Application for graduation in Semester B (NOT applicable to Associate Degree students)

26 January 2019 Last day to apply for: reduced study load/exceeding maximum study load withdrawal of studies, leave of absence & late drop of courses with no

tuition fee charged

27 January – 2 March 2019


28 January 2019 Due date for Semester B's tuition fees

3 March 2019 onwards


4 March 2019 Due date for payment of balance of Semester B's tuition fees

25 March – 15 April 2019

Applications for Bachelor's Degree students: add/drop of minors change of home major declaring a second major For 4-year Bachelor's Degree students admitted in 2018/19 with an undeclared major: declaring a home major Application for Associate Degree students in the College of Engineering: programme transfer

27 March 2019 Release of Semester B's examination schedule in AIMS

27 April 2019 Last day of teaching

6 – 20 May 2019 Examination period

From 29 May 2019 Release of Semester B's course grades in AIMS

34


Summer Term 2019 Date Event

9 April 2019 Release of students' Personal Class Schedule for Summer Term in AIMS

20 May 2019* First day for paper add/drop of non web-enabled courses

27 May 2019* First day for online add/drop of web-enabled courses (Please refer to your web registration time tickets)

10 June 2019 Classes begin

17 June 2019 Last day for course add/drop

18 June – 20 July 2019

Application for graduation in Summer Term (NOT applicable to Associate Degree students)

22 June 2019 Last day to apply for: exceeding maximum study load withdrawal of studies, leave of absence & late drop of courses with no

tuition fee charged (Applicable to non-government funded programmes)

23 – 29 June 2019 50% tuition fee charged for withdrawal of studies, leave of absence & late drop of courses (Applicable to non-government funded programmes)

30 June 2019 onwards

100% tuition fee charged for withdrawal of studies, leave of absence and late drop of courses (Applicable to non-government funded programmes)

10 July 2019 Due date for payment of Summer Term's tuition fees (Applicable to non-government funded programmes) Release of Summer Term's examination schedule in AIMS

10 – 15 July 2019*

Switching of majors (ONLY applicable to year one students admitted to 4-year Bachelor's Degree in 2018/19)

27 July 2019 Last day of teaching

5 – 10 August 2019 Examination period

From 20 August 2019 Release of Summer Term's course grades in AIMS

*Tentative

Note: The University will not remind students of the various deadlines from time to time, and students will need to take the initiative and responsibility to observe the deadlines and act in accordance with the prescribed timeline.

35

Notes

36

Notes

prod

uced

by

Des

ign

and

Prod

uctio

n Se

rvic

es U

P Ci

tyU

College of Business 商學院

Student Handbook

2018-2019

Department of Management Sciences管理科學系

Bachelor of Business Administration in Business Analysis工商管理學士(商業分析)

Documents

Bachelor of Business Administration in Business Analysis · management accounting courses. C 50% E 50% Nil CB2100 Introduction to Financial Accounting CB2200 Business Statistics Introduce