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Guiding Cultivation Plan - Business Administration 2023

发布人：ACBSP发布时间：2025-02-10阅读：次

Nanyang Institute of Technology Business Administration 2023 Talent Cultivation Program

Program Code: 120201K

Drafted by: Zhang Yunfeng Reviewed by: Zhang Yunfeng, Li Xiaofang

I. Training objectives

This program is closely aligned with the university's mission to build a high-level applied technology-oriented university. It responds to new trends in national and local economic and social development in the new era, and meets the new demands of enterprises in the digital age represented by big data and artificial intelligence for management talent. The program offers two specialized tracks: Business Big Data Analysis and Digital Operations Management. The aim is to cultivate talents who achieve all-around development in moral, intellectual, physical, aesthetic, and labor education, possess correct values, a strong sense of patriotism, robust political qualities, a high sense of social responsibility, and excellent professional ethics. Students are expected to have good humanities and scientific literacy, a strong awareness and capability for innovation and entrepreneurship, along with the fundamental abilities and qualities required for management. Students are required to systematically master the basic theories and methods of economic management, acquire capabilities in business data analysis and decision-making, and be proficient in digital operations management technologies. Graduates will be capable of working as high-quality, application-oriented specialists in roles related to business data analysis and decision-making, digital operations management, and other relevant positions in various industrial and commercial enterprises, institutions, government departments, and other organizations.

(i) Direction of business big data analysis

Upon graduation, students will be able to achieve the following goals after about five years of work:

Objective 1: To cultivate excellent ideological and political qualities, practice good professional ethics, familiarize with and be able to comprehensively consider national policies, laws ,and regulations related to business administration and business big data analysis, and create a high sense of social responsibility and strong ability to serve the society;

Objective 2: After training, the basic abilities and qualities such as planning, organization, communication, language and written expression, teamwork, etc. have been significantly improved, with a strong body and stable psychological quality, ability to adapt to the requirements of the post;

Objective 3: To be able to acquire the ability to identify, analyze, judge ,and solve more complex or partially unconventional business administration and business big data analytics problems based on practical experience and theoretical knowledge for practical problems in areas related to business administration and its business big data analytics;

Objective 4: To be able to grasp the current situation and trend of the development of the specialty and related fields in the light of practice, to have a broad international outlook, a strong spirit of innovation, to be able to continuously try to innovate in theory and practice, to be able to collect, process, analyze and interpret large-scale data in the business field to obtain insights and insights about business decisions, and to be able to grow up to become the business backbone of the big data analysis of business in the organization where he/she is working;

Objective 5: The ability of lifelong learning and independent learning is constantly improving, able to formulate and effectively implement their career development plan according to the needs of the business big data analysis industry and social development, able to track the cutting-edge issues and organizational development dynamics in the related fields of business administration and business big data analysis, adept at learning and absorbing other people's knowledge and constructing their knowledge system, keeping abreast of the times, and possessing a strong Adaptability and sustainable development ability.

(ii) Direction of digital operation management

Upon graduation, students will be able to achieve the following goals after about five years of work:

Objective 1: To cultivate excellent ideological and political qualities, practice good professional ethics, be familiar with and be able to comprehensively consider national policies, laws ,and regulations related to business administration and digital operation management, and develop a high sense of social responsibility and strong ability to serve the society;

Objective 3: To be able to acquire the ability to identify, analyze, judge, and solve more complex or partially unconventional business administration and digital operations management problems based on practical experience and theoretical knowledge for practical problems in the field related to business administration and its digital operations management;

Objective 4: To be able to grasp the current situation and trend of the development of this specialty and related fields in the light of practice, to have a broad international vision, a strong spirit of innovation, to be able to continuously try to innovate in theory and practice, to be able to master the core ideas, theories and methods of operation management and its related information processing technology more systematically, to be able to carry out the digital operation work by applying the new generation of information technology, and to be able to grow up to become the digital backbone of the unit where they work. The students should be able to master the core idea of operation management and its related information processing technology systematically, and be able to utilize the new generation of information technology to carry out digital operation work;

Objective 5: To improve the ability of lifelong learning and independent learning, to be able to formulate and effectively implement one's career development plan in accordance with the needs of the digital operation management industry and social development, to be able to follow the cutting-edge issues and organizational development dynamics in the field of business administration and digital operation management, to be good at learning and absorbing other people's knowledge and constructing one's own knowledge system, to keep pace with the times, and to have strong Adaptability and sustainable development ability.

II. Specialized Academic Structure and Requirements for Study Credits

(i) Academic System

The basic course of study is 4 years, and the flexible course of study is from 3 to 6 years. Those who fail to graduate beyond the maximum period of study will be treated as having completed the course.

(ii) Requirements for graduation credits

This program requires students to complete the specified credits of compulsory courses, elective courses, and all practical training components with satisfactory performance. Additionally, students must successfully defend their graduation thesis or project. Upon earning a total of 160 credits, students will be eligible for graduation.

III. Course structure and credit ratio

Classification of Courses	General Education Curriculum		Basic Education Courses For Major Groups		Professional Education Program				Personalized Education		Add Up The Total	Practical Session
	Compulsory Course	Elective Course	Compulsory Course	Elective Course	Compulsory Course	Integrated Practice	Elective Course		Interprofessional Option	Else Specialty Subject		Business Big Data Analytics	Digital Operations Management
	Compulsory Course	Elective Course	Compulsory Course	Elective Course	Compulsory Course	Integrated Practice	Business Big Data Analytics	Digital Operations Management	Interprofessional Option	Else Specialty Subject		Business Big Data Analytics	Digital Operations Management
Class Hour	796+3 weeks	128+2 weeks	400	104	360 + 19.5 weeks	8 weeks	272	272	32	96	2188+ 32.5 weeks	498+32.5 weeks	500 + 32.5 weeks
Credits	43.5	10	25	6.5	42	8	17	17	2	6	160	63.6	63.4
Percentage of total credits	27.19%	6.25%	15.63%	4.06%	26.25%	5.00%	10.63%	10.63%	1.25%	3.75%	100%	39.75%	39.63%

Remarks: Practical sessions include experiments, internships, practical training, course design, comprehensive professional training, graduation design (thesis), etc.

IV. Summary Table of curriculum (I)

Course Category		Course number	Course provider	Course Name	Credits	Assessment Method	Hours per Week	Credit Hour Allocation			semester
Course Category		Course number	Course provider	Course Name	Credits	Assessment Method	Hours per Week	Total	Theory	Practice	semester
General Education Curriculum	Compulsory Course	23140409010	Marxist Academy	Ethics and the rule of law	3	exams	2	48	40	8	1
		23130109010	Foreign Languages College	College English I	3	exams	4	48	24	24	1
		23150019010	Physical Education Department	Sports I	1	exams	2	36	0	36	1
		2310030901	Fan Li Business School	Advanced office software applications	2	Assessment	2	32	16	16	1
		23190109010	Student Affairs Office	Military Theory (Catechism)	2	Assessment	2	36	36	0	1
		23160109010	Mental Health Education Center	Mental Health Education	2	Assessment	2	32	16	16	1
		23190109020	Student Affairs Office	Military Skill	2	Assessment		3 weeks	0	3 weeks	1
		23140519010	Marxist Academy	Situation and Policy 1	0.25	Assessment	2	8	8	0	1
		23120509010	Marxist Academy	National security education	1	Assessment	2	16	16	0	1
		23170109010	Admissions and Employment Office	Career Planning and Employment Guidance for College Students (Catechism)	1.5	Assessment	2	24	24	0	2, 6
		23130209020	Foreign Languages College	College English II	3	exams	4	48	24	24	2
		23150029010	Physical Education Department	Sport II	1	exams	2	36	0	36	2
		23140309010	Marxist Academy	Outline of Modern Chinese History	3	Assessment	2	48	40	8	2
		23140529010	Marxist Academy	Situation and Policy 2	0.25	Assessment	2	8	8	0	2
		23130309070	Foreign Languages College	College English III	2	exams	2	32	24	8	3
		23150039010	Physical Education Department	Sports III	1	exams	2	36	0	36	3
		23180109010	Admissions and Employment Office	Foundations of Innovation and Entrepreneurship Education	2	Assessment	2	32	8	24	3/4
		23140539010	Marxist Academy	Situation and Policy 3	0.25	Assessment	2	8	8	0	3
		23150049010	Physical Education Department	Sports IV	1	exams	2	36	0	36	4
		23140109010	Marxist Academy	Basic Principles Of Marxism	3	exams	2	48	40	8	3
		23140549010	Marxist Academy	Situation and Policy 4	0.25	Assessment	2	8	8	0	4
		23140209010	Marxist Academy	Introduction to Mao Zedong Thought and Theoretical System of Socialism with Chinese Characteristics	3	exams	2	48	48	0	4
		23140209020	Marxist Academy	Introduction to Xi Jinping's Theoretical System of Socialism with Chinese Characteristics in the New Era	3	exams	2	48	40	8	5
		23140559010	Marxist Academy	Situation and Policy 5	0.25	Assessment	2	8	8	0	5
		23140309020	Marxist Academy	History of the Party/Reform and Opening Up	1	Assessment	2	16	16	0	6
		23140569010	Marxist Academy	Situation and Policy 6	0.25	Assessment	2	8	8	0	6
		23140579010	Marxist Academy	Situation and Policy 7	0.5	Assessment	2	16	16	0	7
		23000109010	Academic Affairs Office	labor education	1	Assessment	4	32	16	16	1 7～
			Subtotal		43.5			796+3 weeks	492	304+3 weeks

Note: In addition to the courses listed in the above table, the courses on the general education platform also include other related courses required by different majors, and the corresponding course categories, credits, semesters of study, and assessment methods shall be flexibly selected in accordance with the needs for achieving the objectives of talent cultivation and graduation requirements of each major.

Summary Table of Curriculum (II)

Course Category	Name Of Course Or Activity	Lowest For Graduation
General Education Elective Courses	Public Art Education Courses: The following eight courses are offered, each worth 2 credits: "Introduction to Art", "Film and Television Appreciation", "Music Appreciation", "Art Appreciation", "Theater Appreciation", "Dance Appreciation", "Calligraphy Appreciation", and "Opera Appreciation". During their time at the school, students must choose at least one of these courses as part of their public elective requirements.	2
	Public elective courses: Philosophy, History ,and Psychology; Culture, Language, and Literature; Economics, Management ,and Law; Science (Natural Sciences); Engineering (Natural Sciences); Arts and Physical Education; and Entrepreneurship Education. Students shall graduate with less than 6 credits of elective courses in five of the above categories.	8
	Social practice activities (students participate in social investigation, production labor, voluntary service, scientific and technological invention, and work-study during the study period), academic and professional competitions, scientific and technological academic activities, qualification certification, and other innovative and quality development activities shall be recognized as credits according to the students' innovative and quality development activities listed in the school document "Measures for Recognition of Innovation and Literacy Expansion Credits of Nanyang Polytechnic Institute".	8
Subtotal		10

Summary Table of Curriculum (III)

Course Category		Course number	Course provider	Course Name	Credits	Assessment Method	Hours per Week	Credit Hour Allocation			Semester	Note
Course Category		Course number	Course provider	Course Name	Credits	Assessment Method	Hours per Week	Total	Theory	Practice	Semester	Note
Basic education in broad categories	Compulsory Course	23100108010	Fan Li Business School	Management	3	exams	3	48	38	10	1
		23100208010	Fan Li Business School	Accountancy	3	exams	3	48	38	10	1
		23100508600	Fan Li Business School	Economics	4	exams	4	64	54	10	2
		23100508700	Fan Li Business School	Marketing	3	exams	3	48	38	10	2
		23100608120	Fan Li Business School	Human Resources Management	3	exams	3	48	38	10	3	School-Enterprise Cooperation
		23100208040	Fan Li Business School	Financial Management	3	exams	3	48	38	10	3
		23100308060	Fan Li Business School	Fundamentals Of Big Data Technology	3	exams	3	48	32	16	4
		23100608130	Fan Li Business School	Analytics	3	exams	3	48	38	10	4
			Subtotal		25			400	314	86
	Elective Course	23090319030	school of mathematics and science	Economic Mathematics I	3	exams	3	48	48	0	1
		23090329030	school of mathematics and science	Economic Mathematics II	3	exams	3	48	48	0	2
		23090309030	school of mathematics and science	Linear algebra A	2	exams	2	32	32	0	2
		23100108020	Fan Li Business School	Managerial psychology	2.5	Assessment	3	40	32	8	2
		23090308010	school of mathematics and science	Probability Theory and Mathematical Statistics A★	2	exams	2	32	32	0	3
		23100107300	Fan Li Business School	Quality Management	2	Assessment	2	32	32	0	5
		23100107190	Fan Li Business School	Employee Training and Development★	2.5	Assessment	3	40	40	0	7
	Subtotal (minimum of 6.5 credits) (★ for limited electives)				17			272	264	8

Note: If the course is a MOOC, online, hybrid online/offline, integrated science/practice, specialization/creation, or university-enterprise cooperation course, you need to indicate it in the comment column.

Summary Table of Curriculum (IV)

Course Category			Course number	Course Name	Credits	Assessment Method	Hours per Week	Credit Hour Allocation			Semester	Credit Hour Allocation
Course Category			Course number	Course Name	Credits	Assessment Method	Hours per Week	Total	Theory	Practice	Semester	Credit Hour Allocation
Professional Education	Compulsory Course		23100608020	Introduction to the Profession	0.5	Assessment	2	8	8	0	1	School-Enterprise Cooperation
			23100008610	Cognitive Training	0.5	Assessment		0.5 weeks		0.5 weeks	2	School-Enterprise Cooperation
			23100108090	Management Operations Research (MOR)	3	exams	4	48	38	10	3
			23100107260	Logic and Critical Thinking	2	Assessment	2	32	32	0	3
			23100608080	General Economic Law	3	exams	3	48	38	10	4
			23100608150	Operations Management (OM)	2.5	Assessment	3	40	32	8	4
			23100608140	Strategic Management	3	exams	3	48	38	10	4
			23100607150	Management Information System	3	Assessment	3	48	36	12	5
			23100107110	Market Research And Forecasting	3	Assessment	4	48	38	10	5	Integration of Theory and Practice
			23100102010	Lectures on Frontier Issues in Management	1	Assessment		1 week		1 week	5
			23100608160	Corporate Governance	2.5	exams	3	40	40	0	6	Integration of Specialization and Innovation
			23100008610	Integrated Practical Training In Business Management And Business Decision-Making	2	Assessment		2 weeks		2 weeks	6	Capstone Course
			23100008690	Comprehensive Training For Professional Capacity Enhancement	8	Assessment		8 weeks		8 weeks	7
			23100008630	Graduated Internships	6	Assessment		6 weeks		6 weeks	8
			23100008640	Graduation Design (Thesis)	10	Assessment		10 weeks		10 weeks	8
				Add Up The Total	50			360 + 27.5 weeks	300	60+27.5 weeks
	Elective Course	Business Big Data Analytics	23100107100	Database Management	3	Assessment	4	48	32	16	5
			23100107210	Business Application Writing	2	Assessment	2	32	32	0	5
			23100107220	Business Data Mining	2.5	Assessment	3	40	32	8	5
			23100108110	Business Communication	2.5	Assessment	3	40	40	0	6
			23100107230	Business Forecasting Analysis	2	Assessment	2	32	32	0	6
			23100608170	Business Data Modeling	2	Assessment	2	32	32	0	6
			23100107120	Data Cleaning And Visualization	3	Assessment	4	48	32	16	6
			23100107240	Business Data Analytics And Applications	3	Assessment	4	48	32	16	6
			23100107180	Business Artificial Intelligence	2	Assessment	2	32	32	0	7
			23100107250	Business Decision Making And	3	Assessment	4	48	32	16	7
			23100607050	Internet Finance	2	Assessment	2	32	32	0	7
			Total (minimum of 17 credits)		27			432	376	56
		Digital Operations Management	23100107330	Logistics And Supply Chain Management	3	Assessment	4	48	38	10	5
			23100107350	Service Operations Management	2	Assessment	2	32	32	0	5
			23100107360	Service Design	2.5	Assessment	3	40	32	8	5
			23100107170	Project Management	2.5	Assessment	3	40	32	8	5
			23100608160	Quality of Service Management	2.5	Assessment	3	40	32	8	6
			23100107370	Digital Retail Operations	2.5	Assessment	3	40	32	8	6
			23100107320	Warehouse Management	2	Assessment	2	32	32	0	6
			23100107380	Team Management	2	Assessment	2	32	32	0	6
			23100107390	Cross-cultural management	2	Assessment	2	32	32	0	6
			23100107400	Services Marketing Management	2.5	Assessment	3	40	32	8	7
			23100107410	Customer service management	2.5	Assessment	3	40	32	8	7
			23100107420	Network Operation Platform Management	2	Assessment	2	32	24	8	7
			Total (minimum of 17 credits)		28			448	382	66

Summary Table of Curriculum (V)

Course Category			Course number	Course Name	Credits	Hours per Week	Assessment Method	Credit Hour Allocation			Semester	Note
Course Category			Course number	Course Name	Credits	Hours per Week	Assessment Method	Total	Theory	Practice	Semester	Note
Personalized Education	Elective Course	Interdisciplinary Elective	23010306090	Introduction To Smart Manufacturing	1	2	Assessment	16	16	0	2
			23100607130	Artificial Intelligence	1	2	Assessment	16	16	0	5
			23130508130	English-Speaking Societies And Cultures	2	2	Assessment	32	32	0	5
			23100202120	Big Data Financial Decision Making	1	2	Assessment	16	16	0	6
		Other Specialty Courses	23100607140	Fan Li's Business Thought And Business Ethics	2	2	Assessment	32	32	0	2
			23100207160	International Financial Services	2	2	Assessment	32	28	4	3
			23100608130	Big Data Marketing	2.5	3	Assessment	40	32	8	4
Small count (minimum 8 credits of electives)					11.5			184	172	12

Description:

1. For the elective courses in the seventh semester, students are allowed to earn credits by participating in activities such as joining school-enterprise cooperative practice teams, engaging in student-led entrepreneurial practices, undertaking internships at companies, and conducting market research for enterprises. Upon meeting specific requirements regarding practice duration and passing the evaluation of practical performance quality, these activities can be used to substitute for relevant elective course and practical training course credits. Detailed credit substitution regulations can be found in the relevant documents issued by the college.

2. Credits for elective courses (basic education electives, professional education electives, and personalized education electives) can be counted together.

Guiding Cultivation Plan - Business Administration 2023

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