Information Science and Technology

Information science and technology offers a bachelors degree focused on today's cutting-edge information technology. Students in information science and technology study the latest technology in areas including business analytics & data science, networking, database management systems, enterprise resource planning, e-commerce, and integrated business systems. Professionals in this field administer, maintain, and support computer systems and networks.

Today's business environments have a critical need for professionals who have an understanding of information technologies based on a broad knowledge of management practices, economics, psychology, and the humanities. These individuals are needed to implement technology to support business processes, managerial decision-making, and organizational communication.

As an information science and technology major, you will take courses that are rigorous and oriented toward building the foundation necessary for lifetime learning. Studying at Missouri S&T, you will benefit from the world-class computer environment and your association with excellent students from around the country and the world. Students in the program are strongly encouraged to do summer internships or co-ops with companies before they graduate. There are many rich opportunities and students benefit greatly in terms of their education and the edge they have seeking full-time employment once they graduate.

Bachelor of Science
Information Science and Technology

In Information Science and Technology, the Bachelor of Science degree consists of 120 credit hours. All undergraduate students in Information Science and Technology are required to complete a General Education Requirements Core, including courses in Humanities, Social Sciences, Mathematics, Science, and Communication Skills.

A common departmental core of courses in Business and Information Technology helps provide students with skills to succeed in a fast-changing and globalized environment.  Information Science and Technology (IS&T) Core courses and IS&T Electives provide students with comprehensive knowledge of information technology utilization in businesses.  These courses include business analytics & data science, database management, systems analysis, introduction to data science and management, networks and communications, and cybersecurity.  The electives for this degree consist of advanced coursework in the areas introduced by the required courses.

A minimum grade of "C" is required in the courses designated accordingly.

Students have 11 credit hours for free electives.

Freshman Year
First SemesterCreditsSecond SemesterCredits
BUS 18101BUS 11103
IS&T 15513BUS 12103
IS&T 17503IS&T 15523
ENGLISH 112033MATH 121035
Science Elective1,33PSYCH 110133
Science Lab31 
 14 17
Sophomore Year
First SemesterCreditsSecond SemesterCredits
ERP 21103IS&T 34203
SP&M S 118533ECON 110033
ECON 120033ENGLISH 2560 (or TECHCOM 2560)33
FINANCE 21503STAT 3111 or 11153
Fine Art, or Humanities Elective2,33Science Elective1,33
 15 15
Junior Year
First SemesterCreditsSecond SemesterCredits
IS&T 33333IS&T 33433
IS&T 34233IS&T 44443
IS&T 46543IS&T Elective3
IS&T Elective 3MKT 31103
Free Elective3POL SCI 120033
 15 15
Senior Year
First SemesterCreditsSecond SemesterCredits
IS&T 55203BUS 59803
IS&T 57253IS&T 54203
IS&T Electives 6IS&T Elective3
Free Elective5Free Electives3
 17 12
Total Credits: 120

A grade of “C” or better is required in the following courses for graduation; BUS 1110,  BUS 1210, BUS 1810, BUS 5980, ECON 1100, ECON 1200, ERP 2110FINANCE 2150, MKT 3110IS&T 1551, IS&T 1552, IS&T 1750,  IS&T 3333, IS&T 3343, IS&T 3420, IS&T 3423IS&T 4444, IS&T 4654, IS&T 5420IS&T 5520,IS&T 5725 and all IS&T Electives (can include BUS 5730, BUS 5910, COMP SCI 4700, COMP SCI 5601, or any IS&T or ERP designated course at the 3000-level or above).

1

General education elective courses in two of the following areas:  biology, chemistry, geology, or physics must fulfill the Missouri S&T general education requirements applicable to the students catalog year.

2

General education elective courses in two of the following areas:  art, history, music, or theater must fulfill the Missouri S&T general education requirements applicable to the students catalog year.

3

General education discipline required course.  These fulfill the Missouri S&T general education requirements applicable to the student’s catalog year.

Minors

You must see your academic advisor and complete a minor application. Requirements change over time. You will be held to the requirements in force at the time you apply for the minor. Postponing your application for the minor may result in you having to take additional courses to complete the minor. At least six (6) hours of the minor course work must be taken in residence at Missouri S&T.

Minor in Artificial Intelligence and Machine Learning in Business

The Minor requires 15 credit hours, as follows:

BUS 5730Machine Learning and Artificial Intelligence for Business3
IS&T 3420Introduction to Data Science and Management3
IS&T 5520Data Science and Machine Learning with Python3
And two courses from the following list:6
Statistics For The Social Sciences I
Statistical Tools For Decision Making
Data Networks and Information Security
Systems Analysis
Business Analytics and Data Science
Introduction to Information Visualization
Machine Learning Algorithms and Applications
Use of Business Intelligence

Minor in Business

The minor in business and management systems requires the following 15 hours of coursework:

FINANCE 2150Corporate Finance I3
ECON 1100Principles Of Microeconomics3
or ECON 1200 Principles Of Macroeconomics
BUS 1110Introduction to Management and Entrepreneurship3
BUS 1210Financial Accounting3
MKT 3110Marketing3

Minor in Business Analytics and Data Science

The minor in business analytics and data science requires the following 15 hours of coursework:

IS&T 1750Introduction to Management Information Systems3
IS&T 3423Database Management3
IS&T 3420Introduction to Data Science and Management3
Two courses from the following list:6
Business Analytics and Data Science
Introduction to Information Visualization
Data Science and Machine Learning with Python
Machine Learning and Artificial Intelligence for Business

Minor in Cybersecurity Management and Information Assurance

This minor requires the following 15 hours of coursework:

BUS 5910Privacy and Information Security3
IS&T 3333Data Networks and Information Security3
IS&T 3420Introduction to Data Science and Management3
IS&T 5680Digital Media Development and Interactive Design3
IS&T 5725Fundamentals of Cybersecurity Analytics3

Minor in Digital Supply Chain Management

The minor in digital supply chain management requires the following 15 hours of coursework:

Required Course:
Supply Chain Management Systems in an ERP Environment
Require ONE of the following courses:
Manufacturing
Operations and Production Management
Business Operations
Supply Chain Management Systems
Require ONE of the following courses:
Customer Relationship Management in ERP Environment
Customer Focus and Satisfaction
Require TWO of the following courses:
Introduction to Enterprise Resource Planning
Introduction to Enterprise Decision Dashboard Prototyping
Use of Business Intelligence
Production Planning And Scheduling
Design For Manufacture
Rapid Product Design And Optimization
Integrated Product And Process Design
Computer Aided Design: Theory and Practice

Minor in Enterprise Resource Planning (ERP)

The minor in ERP requires the following 15 credit hours of coursework:

Required Course:3
Introduction to Enterprise Resource Planning
Require ONE of the following courses:3
Financial Accounting
Engineering Accounting and Finance
Require ONE or MORE of the following courses:3-6
Introduction to Enterprise Resource Planning (ERP) Software Development
Enterprise Resource Planning Systems Design and Implementation
Remainder of 15 credits must be from any ERP 3XXX, ERP4XXX, ERP5XXX, or IST 44443-6

Minor in Entrepreneurship

The minor in entrepreneurship requires the following 15 hours of coursework:

BUS 1110Introduction to Management and Entrepreneurship3
BUS 5980Business Models for Entrepreneurship and Innovation3
MKT 5310Digital Marketing and Promotions3
Two courses from the following list:6
Customer Focus and Satisfaction
Strategic Management
Introduction to Web Design and Digital Media Studies
Management and Leadership of Technological Innovation
Technical Entrepreneurship
Engineering Design Optimization

Minor in Finance

The minor in finance requires the following 15 hours of coursework:

ECON 1100Principles Of Microeconomics3
or ECON 1200 Principles Of Macroeconomics
FINANCE 2150Corporate Finance I3
BUS 5230Financial Data Analysis and Storytelling 3
FINANCE 5260Investments I3
FINANCE 5310Financial Technology and Analytics3
Total Credits15

Minor in Financial Technology, Analytics and Transformation

The Minor requires 15 credit hours, as follows:

Required Courses:6
Corporate Finance I
Financial Technology and Analytics
One or more of the following courses must be taken:3
Introduction to Data Science and Management
Financial Data Analysis and Storytelling
One or more of the following courses must be taken:6
Human and Organizational Factors in Cybersecurity
Data Science and Machine Learning with Python
Performance Dashboard, Scorecard and Data Visualization
Use of Business Intelligence
Investments I

Minor in Information Science and Technology

The minor in information science and technology requires the following 15 hours of coursework:

IS&T 1750Introduction to Management Information Systems3
IS&T 1551Implementing Information Systems: User Perspective3
IS&T 1552Implementing Information Systems: Data Perspective3
ERP 2110Introduction to Enterprise Resource Planning3
One other IS&T or ERP course at the 2000 level or above.3

Minor in Management

The minor in management requires the following 15 hours of coursework:

BUS 1110Introduction to Management and Entrepreneurship3
Four courses from the following list:12
Business Law
Business Negotiations
Customer Focus and Satisfaction
Business Operations
Human Resource Management
Strategic Management
Privacy and Information Security
Information Systems Project Management
Introduction to Project Management

Minor in Marketing

The minor in marketing requires the following 15 hours of coursework:

ECON 1100Principles Of Microeconomics3
or ECON 1200 Principles Of Macroeconomics
MKT 3110Marketing3
Three courses from the following list:9
Consumer Behavior
Marketing Strategy
Digital Marketing and Promotions
Marketing for Non-Profits
Big Data Consumer Analytics
Customer Relationship Management in ERP Environment
Other marketing electives approved by the department (MKT 3000 and above)

IS&T 1001 Special Topics (IND 0.0-6.0)

This is designed to give the department an opportunity to test a new course. Variable title.


IS&T 1310 Exposure to Computer Experience (LEC 3.0)

The course provides an overview of simple computing concepts. Students are gently introduced to programming and discuss the impact of computing on society. Students are made aware of various computing-related careers.


IS&T 1311 Exposure to Computing Principles (LEC 3.0)

Students are introduced to various computing concepts including computer graphics, algorithms, agile development, the world wide web, e-commerce and mobile applications.


IS&T 1312 Computer Programming Exposure (LEC 3.0)

The course exposes students to principles of programming including variables, data types, expressions, assignment, variables, classes, arrays and other data structures and recursion.


IS&T 1314 Exposure to Cybersecurity Concepts (LEC 3.0)

This course provides an overview of basic cybersecurity issues, including evaluating of security needs, cryptography, and threat assessment. The course covers a broad array of security topics including data security, network security, security ethics and security as a computing profession. Students are exposed to various industry-standard security tools.


IS&T 1551 Implementing Information Systems: User Perspective (LEC 3.0)

Introduction to object-oriented programming in the context of developing and implementing the various components of an information system with particular attention given to system interface such as window and web forms. Class will include numerous projects covering foundational programming.


IS&T 1552 Implementing Information Systems: Data Perspective (LEC 3.0)

Continuation of object-oriented programming in the context of developing and implementing the various components of an information system with particular attention given to database incorporation. Class will include numerous projects covering intermediate topics. Prerequisites: IS&T 1551.


IS&T 1561 Algorithms and Programming with Java (LEC 3.0)

Introduction to programming using Java. Topics include basic programming concepts such as variable data, decision-making, and repetitive code. Also algorithm design and analysis, event-driven design with classes and methods. Numerous programs and group exercises.


IS&T 1562 Java and Data Structures (LEC 3.0)

Provides an intermediate knowledge of programming using Java. Important concepts of Object Oriented programming will be covered. A significant part of the course will be devoted to data structures and how to handle them. Numerous programs will be assigned. Prerequisites: IS&T 1561.


IS&T 1750 Introduction to Management Information Systems (LEC 3.0)

This course familiarizes the students with the fundamental concepts and principles of management information systems. Topics covered include the strategic role of IT, decision support systems, database and datawarehouse, enterprise applications, mobile applications, and social and ethical issues related to information systems.


IS&T 2000 Special Problems (IND 0.0-6.0)

Problems or readings on specific subjects or projects in the department. Consent of instructor required.


IS&T 2001 Special Topics (IND 0.0-6.0)

This is designed to give the department an opportunity to test a new course. Variable title.


IS&T 2002 Cooperative Training in Information Science & Technology (IND 0.0-6.0)

On-the-job experience gained through cooperative education with industry with credit arranged through departmental co-op advisor. Grade received depends on quality of reports submitted and work supervisors's evaluation. Prerequisite: Completed 30 hours toward degree.


IS&T 3000 Special Problems (IND 0.0-6.0)

Problems or readings on specific subjects or projects in the department. Consent of instructor required.


IS&T 3001 Special Topics (LEC 0.0-6.0)

This course is designed to give the department an opportunity to test a new course. Variable title.


IS&T 3333 Data Networks and Information Security (LEC 3.0)

The course provides an overview of current and evolving networking and information security principles. Concepts include network standards and protocols; operation and management; switching and routing; area networks; wireless network infrastructure; security frameworks, policies, and management. Prerequisites: At least Sophomore standing.


IS&T 3343 Systems Analysis (LEC 3.0)

Introduction to the processes by which business information systems are analyzed, designed, and introduced into the business environment. Topics include investigation of existing systems, requirements analysis, logical and physical design, database design, forms design, and report analysis. Prerequisite: IS&T 3423.


IS&T 3420 Introduction to Data Science and Management (LEC 3.0)

Introduces students to increasing business success through analysis of large-scale data collections. Topics include: import/export of data, summary statistics, cross-tabulation, data transformations (sub setting, merging, sorting and aggregation), modeling methods, and visualization. Significant programming in R is expected. Prerequisites: IS&T 1562 or IS&T 1552 or Comp Sci 1575.


IS&T 3423 Database Management (LEC 3.0)

The course introduces the concepts of database management systems. Issues in database architecture, design, administration, and implementation are covered. Prerequisites: IS&T 1750; A grade of "C" or better in IS&T 1551 or IS&T 1561 or Comp Sci 1570.


IS&T 4000 Special Problems (IND 0.0-6.0)

Problems or readings on specific subjects or projects in the department. Consent of instructor required.


IS&T 4001 Special Topics (LEC 0.0-6.0)

This is designed to give the department an opportunity to test a new course. Variable title.


IS&T 4085 Internship (IND 1.0-6.0)

Students apply critical thinking skills and discipline specific knowledge in a work setting based on a project designed by the advisor and an industry organization. Activities will vary depending on the student's background and the setting. Requires major report and experiential learning opportunity at a department approved organization. Prerequisites: Subject to departmental requirements including departmental approval of the organization and internship learning plan prior to enrolling in the course. (Co-listed as BUS 4085).


IS&T 4099 Undergraduate Research (IND 0.0-6.0)

Designed for the undergraduate student who wishes to engage in research. Not for graduate credit. Not more than six credit hours allowed for graduation credit. Subject and credit to be arranged with the instructor.


IS&T 4261 Information Systems Project Management (LEC 3.0)

The course overviews general project management principles and then focuses on information system application development. Topics include requirements analysis, project scheduling, risk management, quality assurance, testing, and team coordination. Prerequisites:A grade of "C" or better in IS&T 1551 or IS&T 1561 or Comp Sci 1570.


IS&T 4444 Introduction to Data Warehouses (LEC 3.0)

This course presents the topic of data warehouses and the value to the organization. It takes the student from the database platform to structuring a data warehouse environment. Focus is placed on simplicity and addressing the user community needs. Prerequisites: IS&T 3423.


IS&T 4654 Introduction to Web Design and Digital Media Studies (LEC 3.0)

The course covers web design and digital media, including topics such as social media, cyberculture, service design thinking, citizen journalism, crowd intelligence, brain-computer interfaces, privacy, and copyright.


IS&T 5000 Special Problems (IND 0.0-6.0)

Problems or readings on specific subjects or projects in the department. Consent of instructor required.


IS&T 5001 Special Topics (LEC 0.0-6.0)

This is designed to give the department an opportunity to test a new course. Variable title.


IS&T 5040 Oral Examination (IND 0.0)

After completion of all other program requirements, oral examinations for on-campus M.S./Ph.D. students may be processed during intersession. Off-campus M.S. students must be enrolled in oral examination and must have paid an oral examination fee at the time of the defense/comprehensive examination (oral/ written). All other students must enroll for credit commensurate with uses made of facilities and/or faculties. In no case shall this be for less than three (3) semester hours for resident students.


IS&T 5099 Research (IND 0.0-15)

Investigations of an advanced nature leading to the preparation of a thesis or dissertation. Consent of instructor required.


IS&T 5251 Management and Leadership of Technological Innovation (LEC 3.0)

The course covers strategic management of technological innovation and leadership in managing technology-based organizations. It focuses on developing a general management perspective on technology, innovation, industry dynamics of technological innovation, and new product development. Prerequisite: Senior or Graduate Standing.


IS&T 5335 Fundamentals of Mobile Technology for Business (LEC 3.0)

A broad overview of mobile technology use in business environments.Topics include the mobile industry; mobile network and wireless standards; mobile devices; mobile web design and app development; social and user experience issues; mobile marketing and commerce. Prerequisites: Junior standing or above.


IS&T 5420 Business Analytics and Data Science (LEC 3.0)

Analysis of large business data sets via statistical summaries, cross-tabulation, correlation, and variance matrices. Techniques in model selection, prediction, and validation utilizing general linear and logistic regression, Bayesian methods, clustering, and visualization. Extensive programming in R is expected. Prerequisites: Calculus, Statistics, and Programming knowledge.


IS&T 5423 Foundations of Data Management (LEC 3.0)

Foundational concepts of database management systems. Issues in database architecture, design, administration, and implementation. Extensive use of SQL with Oracle to create and manage databases. Significant project dealing with triggers or stored procedures. Prerequisites: Strong programming knowledge required.


IS&T 5450 Introduction to Information Visualization (LEC 3.0)

Topics include: the visualization development framework, traditional presentations of data, human perception and aesthetics, colorspace theory, visualization algorithms and software, modern visualizations of large data sets. Application of R packages will be emphasized throughout. Prerequisites: Statistics, Calculus, and Programming Knowledge.


IS&T 5520 Data Science and Machine Learning with Python (LEC 3.0)

Examines data science methodologies for scraping, manipulating, transforming, cleaning, visualizing, summarizing, and modeling large-scale data as well as supervised and unsupervised machine learning algorithms applied in various business analytics and data science scenarios. Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn are utilized. Prerequisites: One of Stat 3111, Stat 3113, Stat 3115, or Stat 3117; one of IS&T 1552, IS&T 1562, Comp Sci 1575; for Graduate Students: knowledge of calculus, statistics, and programming.


IS&T 5535 Machine Learning Algorithms and Applications (LEC 3.0)

Introduces techniques of modern machine learning methods with applications in marketing, finance, and other business disciplines. Topics include regression, classification, resampling methods, model selection, regularization, decision trees, support vector machines, principal component analysis, and clustering. R programming is required. Prerequisites: One of Stat 3111, Stat 3113, Stat 3115, Stat 3117; one of IS&T 1552, IS&T 1562, Comp Sci 1575; or Graduate Standing with knowledge of calculus, statistics, and programming.


IS&T 5551 Foundations of Computing and Programming for Data Science (LEC 3.0)

An introduction to contemporary computer programming and development with the application focus in the analysis of data in business context. This course aims to provide an overview of the fundamental knowledge and skills needed for advancing in the areas of information science and technology. Topics include introduction to computing, basic programming instructions, relational databases, and graphical representation of information and data. Prerequisites: Senior or graduate standing.


IS&T 5680 Digital Media Development and Interactive Design (LEC 3.0)

This course covers techniques and tools for design and development of digital and interactive media, including text, graphics, animation, audio, and video. Prerequisites: A grade of "C" or better in IS&T 1551, IS&T 1561 or Comp Sci 1570.


IS&T 5725 Fundamentals of Cybersecurity Analytics (LEC 3.0)

This course presents students with a basic understanding of cybersecurity topics, which span organizational information security policies, data breaches, awareness training, network security, application security, cloud security, data management, business continuity, and the latest cybersecurity issues.


IS&T 5780 Human and Organizational Factors in Cybersecurity (LEC 3.0)

In-depth examination of human and organizational factors in cybersecurity and information assurance. Study of how to protect information integrity, availability, and confidentiality, as well as tools, methods, principles, and analytics for fraud prevention, insider threat detection, and forensic investigations. Assumes prior exposure to cybersecurity or IA.


IS&T 5885 Human-Computer Interaction and User Experience (LEC 3.0)

Introduction to the field of Human-Computer Interaction (HCI). Students examine issues and challenges related to the interaction between people and technology. The class explores the social and cognitive characteristics of people who use information systems. Students learn techniques for understanding user needs, interface prototyping & interface evaluation.


IS&T 5887 Human-Computer Interaction Evaluation (LEC 3.0)

This course covers research and analysis methods and tools for evaluation of the impact of information technology systems on humans and organizations. The focus will be on practical evaluation with the goal of providing recommendations for improving system functionality and usability. Prerequisite: Preceded or accompanied by IS&T 5885.


Anita Ahl, Assistant Teaching Professor
MS Bradley University

David Bojanic, Kummer Endowed Professor
DBA University of Kentucky

Kris Bruckerhoff, Assistant Teaching Professor
MBA, MS, MS St. Cloud State University, St. Cloud State Univeristy, Kansas State University

Randy Canis, Adjunct Professor
JD University of Missouri-Columbia

Tsangyao Chen, Assistant Teaching Professor
PHD, PHD Florida State University, Ohio University

Yu Hsien Chiu, Teaching Professor
MS University of Wisconsin-Milwaukee

Cecil Chua, Associate Professor
PHD Georgia State University

Arlan Dekock, Professor Emeritus
PHD University of South Dakota

Cassandra Elrod, Associate Professor
PHD University of Missouri-Rolla

Li-Li Eng, Professor Emeritus
PHD University of Michigan Ann Arbor

Hanqing Fang, Associate Professor
PHD Mississippi State University

Caroline Fisher, Professor Emeritus
PHD Bowling Green State University

Nobuyuki Fukawa, Associate Professor
PHD Louisiana State University

Richard H Hall, Professor Emeritus
PHD Texas Christian University

Edward J Harvey, Adjunct Professor
MBA University of Missouri-Columbia

Michael Hilgers, Professor
PHD Brown University

Seonjun Kang, Assistant Professor
PHD Virginia Commonwealth University

William Kehr, Teaching Professor Emeritus
PHD University of Missouri-Rolla

Ray Kluczny, Associate Professor Emeritus
PHD Arizona State University

Minsek Ko, Assistant Professor
PHD Iowa State University

Bih-Ru Lea, Associate Professor
PHD Clemson University

Kent Robinson, Adjunct Professor
JD University of Illinois-Urbana-Champaign

Sarah Stanley, Associate Professor
PHD Saint Louis University

Dawei Wang, Assistant Professor
PHD University of Oklahoma

Wen-Bin Yu, Associate Professor
PHD University of Louisville

Hongxian Zhang, Associate Professor
PHD University of Texas at San Antonio

Wangchuchu Zhao, Assistant Teaching Professor
MS Missouri University of Science and Technology

Superscripts 1, 2, 3, 4, 5, and 6 in the faculty listing refer to the following common footnotes:
1 Registered Professional Engineer
2 Registered Geologist
3 Certified Health Physicist
4 Registered Architect
5 Board Certified, American Academy of Environmental Engineers
6 LEED AP Certified