Master of Science in Management Information System
December 5, 2023 2024-06-18 14:52Master of Science in Management Information System
Mission
To provide students with a higher level of training for business management, data analytics, and Christian worldview for students to be equipped with the ability to plan and realize business strategies effectively, based on the obtained business management knowledge and data analysis skills.
Objectives
Students who successfully complete the M.C.S. curriculum will be equipped with:
1. An ability to analyze the given problems and define the computing requirements appropriate to its solution.
2. An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
3. An ability to conduct data analytics on the business data by utilizing Machine Learning, Text Mining, and Artificial Intelligence technologies.
4. An ability to plan, design, develop, and maintain Information Technology infrastructure.
5. An ability to use current techniques, skills, and tools necessary for computing practice.
6. An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
7. An ability to apply Biblical and Ethical principles in business decision making.
1. An ability to analyze the given problems and define the computing requirements appropriate to its solution.
2. An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
3. An ability to conduct data analytics on the business data by utilizing Machine Learning, Text Mining, and Artificial Intelligence technologies.
4. An ability to plan, design, develop, and maintain Information Technology infrastructure.
5. An ability to use current techniques, skills, and tools necessary for computing practice.
6. An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
7. An ability to apply Biblical and Ethical principles in business decision making.
Objectives
Students who successfully complete the M.I.S. curriculum will:
1. Be able to interpret the principal concepts, theories, and practices in the functional areas of business.
2. Be able to recommend alternative business decisions supported by Biblical principles and concepts.
3. Be able to conduct data analytics on the business data by utilizing Machine Learning, Text Mining, and Artificial Intelligence technologies.
4. Be able to assist in managerial decision making, based on the analysis results from data analytics.
5. Be able to code computer programs for data analytics purpose.
6. Be able to create coherent forms of both narrative and persuasive types of communication to diverse professional audiences.
1. Be able to interpret the principal concepts, theories, and practices in the functional areas of business.
2. Be able to recommend alternative business decisions supported by Biblical principles and concepts.
3. Be able to conduct data analytics on the business data by utilizing Machine Learning, Text Mining, and Artificial Intelligence technologies.
4. Be able to assist in managerial decision making, based on the analysis results from data analytics.
5. Be able to code computer programs for data analytics purpose.
6. Be able to create coherent forms of both narrative and persuasive types of communication to diverse professional audiences.
Admission Prerequisites (12 credits)
To be admitted to the MIS program, the candidate’s transcripts must show undergraduate level coursework (or equivalent) covering the following prerequisite courses. Otherwise, students must take at least two prerequisite courses in the first semester and finish taking all prerequisite courses within the first year of MIS program. The prerequisite courses may be opened during the Summer and Winter sessions.
1. MAT 101 College Mathematics
2. ECO 201 Microeconomics
3. ECO 202 Macroeconomics
4. ENG 201 College English II
1. MAT 101 College Mathematics
2. ECO 201 Microeconomics
3. ECO 202 Macroeconomics
4. ENG 201 College English II
Graduation Requirements
- M.I.S. students must satisfactorily complete a minimum of 48 credits: Students must satisfactorily complete the major requirements (30 credits), a core course (3 credits), and free electives (15 credits) from any courses offered in the School of Business and Technologies.
- A concentration program will be additionally awarded to the MIS degree diploma if five (5) or more free elective courses are taken from a different major such as Master of Science in Computer Science (MCS), Master of Business Administration (BUS), and Accounting (ACC).
- A cumulative grade point average of B- (2.5) must be maintained.
Degree Requirements
LIL 500 Library Information Literacy (0 credits)
WUV Core Course (3 credits)
BIB 501 Survey of the Bible
Major Requirements (30 credits)
ACC 502 Financial Accounting
BUS 503 Financial Management (Pre: ACC502)
BUS 505 Marketing Management
BUS 507 Strategic Management
BUS 600 Managerial Statistics
MIS 531 Database Design (MIT 531)
CS 542 Object Oriented Programming (MIT 542)
MIS 550 Introduction to Data Science (MIT 550)
MIS 552 Applied Machine Learning (Pre: CS542) (MIT 552)
MIS 554 Natural Language Processing(MIT 554) Free Electives (15 credits)
The following courses are recommended for the MIS major electives, but other courses can be freely taken from other majors as needed. If five (5) or more elective courses are taken from a Concentration, the MIS degree diploma will be awarded with a note of completing a Concentration program such as Management or Computer Science (CS) Concentration. MIS Elective Courses
MIS 551 Data Mining (Pre: CS 542) (MIT 551)
MIS 553 Deep Learning (Pre: CS 542) (MIT 553)
MIS 539 Big Data Analytics in Business (MIT 539)
MIS 556 Big Data on Amazon Web Services (MIT 556)
BUS 790 Co-operative Education Program
Practicum
BUS 791 Marketing Field Practicum (1 Credit Hour) **
BUS 792 Management Field Practicum (1 Credit Hour) **
BUS 793 Human Resource Management Field Practicum (1 Credit Hour) **
BUS 794 Accounting and Finance Field Management (1 Credit Hour) **
BUS 795 Information Technology Field Practicum (1 Credit Hour) **
** Can not be repeated Management Concentration Courses
BUS 502 Human Resource Management
BUS 504 Operations and Supply Management
BUS 506 Management Information Systems
BUS 510 Organization Theory
BUS 700 Business Research
BUS 501 Organizational Behavior (Required)
BUS 702 Business Law and Ethics
BUS 704 International Business
BUS 712 Small Business Management
BUS 714 Digital Marketing (Pre: BUS505)
BUS 715 Project Management
Computer Science (CS) Concentration Courses
CS 510 Mid Level of Programming (MIT 510)
CS 532 Advanced Network Securities (MIT 532)
CS 533 Network Infrastructure Planning (MIT 533)
CS 534 Cyber Securities (MIT 534)
CS 536 Information Technology Governance (MIT 536)
CS 537 Mobile Application Concepts (MIT 537)
CS 540 Principles of Programming Languages (MIT 540)
CS 541 Fundamentals of Web Programming (MIT 541)
CS 542 Object Oriented Programming (MIT 542)
CS 557 Artificial Intelligence (MIT 557)
*15 credits may include courses alone or courses and practicum. Total 48 Credit Hours
BIB 501 Survey of the Bible
Major Requirements (30 credits)
ACC 502 Financial Accounting
BUS 503 Financial Management (Pre: ACC502)
BUS 505 Marketing Management
BUS 507 Strategic Management
BUS 600 Managerial Statistics
MIS 531 Database Design (MIT 531)
CS 542 Object Oriented Programming (MIT 542)
MIS 550 Introduction to Data Science (MIT 550)
MIS 552 Applied Machine Learning (Pre: CS542) (MIT 552)
MIS 554 Natural Language Processing(MIT 554) Free Electives (15 credits)
The following courses are recommended for the MIS major electives, but other courses can be freely taken from other majors as needed. If five (5) or more elective courses are taken from a Concentration, the MIS degree diploma will be awarded with a note of completing a Concentration program such as Management or Computer Science (CS) Concentration. MIS Elective Courses
MIS 551 Data Mining (Pre: CS 542) (MIT 551)
MIS 553 Deep Learning (Pre: CS 542) (MIT 553)
MIS 539 Big Data Analytics in Business (MIT 539)
MIS 556 Big Data on Amazon Web Services (MIT 556)
BUS 790 Co-operative Education Program
Practicum
BUS 791 Marketing Field Practicum (1 Credit Hour) **
BUS 792 Management Field Practicum (1 Credit Hour) **
BUS 793 Human Resource Management Field Practicum (1 Credit Hour) **
BUS 794 Accounting and Finance Field Management (1 Credit Hour) **
BUS 795 Information Technology Field Practicum (1 Credit Hour) **
** Can not be repeated Management Concentration Courses
BUS 502 Human Resource Management
BUS 504 Operations and Supply Management
BUS 506 Management Information Systems
BUS 510 Organization Theory
BUS 700 Business Research
BUS 501 Organizational Behavior (Required)
BUS 702 Business Law and Ethics
BUS 704 International Business
BUS 712 Small Business Management
BUS 714 Digital Marketing (Pre: BUS505)
BUS 715 Project Management
Computer Science (CS) Concentration Courses
CS 510 Mid Level of Programming (MIT 510)
CS 532 Advanced Network Securities (MIT 532)
CS 533 Network Infrastructure Planning (MIT 533)
CS 534 Cyber Securities (MIT 534)
CS 536 Information Technology Governance (MIT 536)
CS 537 Mobile Application Concepts (MIT 537)
CS 540 Principles of Programming Languages (MIT 540)
CS 541 Fundamentals of Web Programming (MIT 541)
CS 542 Object Oriented Programming (MIT 542)
CS 557 Artificial Intelligence (MIT 557)
*15 credits may include courses alone or courses and practicum. Total 48 Credit Hours
