Career Track: Business Analytics and Intelligence@NIDA โดย อาจารย์ ดร. อานนท์ ศักดิ์วรวิชญ์
ในงาน THE FIRST NIDA BUSINESS ANALYTICS AND DATA SCIENCES CONTEST/CONFERENCE จัดโดย คณะสถิติประยุกต์และ DATA SCIENCES THAILAND
8. Business analytics and Intelligence
• Big data warehousing
• Financial analytics and intelligence
• Quantitative Risk Analytics and Intelligence
• Marketing Analytics and Intelligence
• Customer Relationship Management Analytics and Intelligence
• Human Resource Management Analytics and Intelligence
• Supply Chain Management Analytics and Intelligence
• Statistical Graphics and Data Visualization
• Social Network and Media Analysis
9. Business Analytics and Intelligence: BA&I
Business Analytics and Intelligence: BA&I
@ Graduate School of Applied Statistics
National Institute of Development Administration
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23. Business Analytics and Intelligence Typical MBA
Degree Master of Sciences (Applied Statistics) Master of Business Administration
Total Credits needed 42 Credits 36-48 Credits
Rudimentary Courses 1. English for Applied Statistics Mostly English
2. Big Data Warehousing
Two Core Courses for BA&I vs. Six
Foundation Courses for MBA
Statistical Analysis Business Statistics
Statistical Information Technology Management Information System
Business Law
Business Economics
Financial Accounting
Eight Major Courses for BA&I versus Six
Required Courses for MBA
1. Research Methodology and Inquiry Skills
2. Strategic Analytics and Intelligence 1. Business Policy and Strategic
Management
3. Marketing Analytics and Intelligence 2. Marketing Management
4. Customer Relationship Management
Analytics and Intelligence
5. Financial Analytics and Intelligence 3. Financial Management
6. Quantitative Risk Analytics and
Intelligence
7. Statistical Graphics and Data
Visualization
8. Human Resource Management Analytics
and Inteligence
4. Human Resource Management
24. Business Analytics and Intelligence Typical MBA
Three Elective Courses for BA&I vs. Three-
Four Major Courses for MBA
1. Supply Chain Analytics and Intelligence Various Courses in Finance
2. Business Analytics Software Various Courses in Marketing
3. Spatial Data Analysis Various Courses in MIS
4. Behavioral Finance Various Course in International Business
Management
5. Multi-Level Modeling Various Course in Operations Management
6. Social Network and Media Analysis Various Course in Human Resource
Management
7. Revenue Management Various Course in Enterpreneurship
8. Database Design and Management:
Practical Approach
9. Data Warehousing and Data Mining
10. Managing Big Data
Orientations Business Administration Management
Information Technology Business
Analytics, Research, and Statistical Literacy Strategy
Focuses Analytics Some Analytical Skills
Visualization Business Presentation
Knowledge creation and application Application
Competitive Intelligence Competitive Advantage
Business strategy Business strategy
Profit as Bottom Line
25. Business Analytics and Intelligence Typical MBA
Pedagogy More Quantitative and Computational Qualitative and Quantitative
More Analytical Analytical
More Technical Less Technical, Lean towards Management
More Information Technology Literacy Information Technology User
Research-oriented Mostly not research-oriented
Creative Creative
Job After Graduation Business Analysts Depends on their major
Business Strategists Manager
Strategic Planner Business Officer
Business Modeler Marketeer
Data Scientist Financial analyst
Quantitative Business Analyst
Data Analysts
Statistician
Marketing researcher
26. Business Analytics and Intelligence Data Sciences
Degree Master of Sciences (Applied Statistics) Master of Sciences (Computer Sciences and
Information System)
Total Credits needed 42 Credits 37 Credits
Rudimentary
Courses credits
6 Credits (3-15 Credits according to student's background and
proficiency)
Rudimentary
Courses
1. English for Applied Statistics 1. Mathematics for Computer Science and
Information Systems
2. Big Data Warehousing 2. Computer Programming and Problem Solving
3. Algorithm Analysis and Data Structure
4. Statistics and Probability
5. English for Computer Science and Information
Systems
Core Courses Credits6 Credits 9 Credits
Core Courses Statistical Analysis Strategic Information Technology and EIS Process
Statistical Information Technology Database Design and Management: Practical
Approach
Data Communications and Computer Networks
27. Business Analytics and Intelligence Data Sciences
Major Courses
Credits
24 Credits 12 Credits
Major Courses 1. Research Methodology and Inquiry Skills 1. Data Warehousing and Data Mining
2. Strategic Analytics and Intelligence 2. Managing Big Data
3. Marketing Analytics and Intelligence 3.Decision Support Systems and Business Intelligence
4. Customer Relationship Management Analytics and
Intelligence
4. Big Data Analytics
5. Financial Analytics and Intelligence
6. Quantitative Risk Analytics and Intelligence
7. Statistical Graphics and Data Visualization
8. Human Resource Management Analytics and
Inteligence
28. Business Analytics and Intelligence Data Sciences
Elective Courses
Credit
9 Credits 12 Credits
Elective Courses 1. Supply Chain Analytics and Intelligence 1. Text Analytics
2. Business Analytics Software 2. Information Systems Development and
Applications
3. Spatial Data Analysis 3. Strategic Planning of Information Systems
4. Behavioral Finance 3. Process Innovation
5. Multi-Level Modeling 4. Statistical Graphics and Data Visualization
6. Social Network and Media Analysis 5. Information Security Management
7. Revenue Management 6. Machine learning
8. Database Design and Management: Practical
Approach
9. Data Warehousing and Data Mining
10. Managing Big Data
29. Business Analytics and Intelligence Data Sciences
Orientations Business Administration Computer Sciences
Information Technology Information System
Analytics, Research, and Statistical Literacy
Focuses Analytics Data infrastructure
Visualization Data Architecture,
Knowledge creation Data Engineering,
Competitive Intelligence Strategic deployment into IT implementation
Business strategy Database Administration and Design
Job After GraduationBusiness Analysts Data Engineer
Business Strategists Data Architect
Strategic Planner Data Scientist
Business Modeler IT administrator
Data Scientist Database Administrator
Quantitative Business Analyst Big data analyst
Data Analysts Data Scientist
Statistician IT auditor
Marketing researcher
30. Careers in Business analytics and intelligence
• Marketing researcher
• Financial Analyst
• Researcher
• Data scientist
• Business Analyst
• Analysts
• Strategist
• Etc.
39. ทุนและรางวัลการศึกษา
•ทุน ดร. ดุสิต เจริญควนิช
•ทุนบริษัท ไทยประกันชีวิต จากัด มหาชน)
•ทุนราชกรีฑา สโมสร
•ทุนสมาคมประกันชีวิตไทย
•รางวัล Associates of Society of Actuaries (ASA)
40. NIDA IIC Mission
•National Analytic House
•Thailand Data Warehousing
•Transform data into information and intelligence via analytics and
mining
•Transform information and intelligence into solutions and policy to
develop Thailand
•ตามรอยพระราชดาริและปณิธานของสถาบันบัณฑิตพัฒนบริหารศาสตร์ในการพัฒนา
ประเทศชาติ