Students of Science, Mathematics and Technology will explore the natural sciences (physics, chemistry and biology), mathematics, computer science and a range of technological, applied-science and health-related fields. Students will study the fundamental laws and concepts of their concentration, develop their knowledge of scientific methodology and learn the skills important for successful practice and communication, whether they are entering a new field or honing skills in their current occupation. Students will sharpen skills in critical reading and thinking, as, together with a faculty mentor, create a program to meet your specific needs and goals.
Degree programs in Science, Mathematics and Technology offer students the opportunity to develop individualized degree plans based on their intellectual, professional, and personal interests. General program guidelines can be found on the “Program Details” tab, and students will work with an academic mentor to choose courses that meet the guidelines and address each student’s individual interests. Students can also work with their academic mentors to identify applicable transfer credit, prior college-level learning, and possible course equivalencies. Working with a mentor and using Empire State University’s educational planning process, students can develop a specialized concentration in Science, Mathematics and Technology by following the general program guidelines as well as any applicable concentration guidelines. Students may also develop their own concentrations.
For more information about general undergraduate degree requirements, please visit Earning an Undergraduate Degree.
For sample degree programs and other degree planning resources, please visit the Department of Computer Science and Technology, Mathematics, or Natural Sciences Degree Planning Resources web page.
Please note:
- Empire State University does not offer degrees in engineering. You may study the mathematics and the theoretical sciences that comprise the traditional engineering curriculum, but the title of the degree cannot contain the word “engineering”
- In the sciences there are many opportunities for experimentation, research, and analytical work. These include virtual labs, courses with lab kits, field experience courses and residencies. Students can also engage in scientific internships and pursue college credit for prior learning in their fields. Students should be aware that they may need specific laboratory and/or field courses to meet entrance requirements for graduate studies; they should confirm such requirements with these institutions
Taking individual courses as a nondegree nonmatriculated student also is possible and will offer you the same range and depth of courses and rigorous standards as matriculated undergraduate students.
Program Details
These area of study guidelines address the broad needs of students interested in pursuing degrees in Science, Mathematics, and Technology. Degree programs at the associate level must address these five program outcomes, minimally at the introductory level. Foundational knowledge in their field prepares students for progression to the bachelor’s degree.
Students should refer to the university's concentration guidelines for program outcomes specific to their fields. Otherwise, students must research their field and describe academic and professional expectations for their concentration in their rationale essay.
Knowledge in science, mathematics, and technology is continually evolving. Thus, degree programs should demonstrate currency in their fields. In addition, students are expected to develop life-long learning skills and engage in ongoing inquiry to acquire new knowledge and maintain currency.
Students earning degrees in Science, Mathematics, and Technology will achieve the following program outcomes:
Program Details for Computer Science and Technology
Foundation #1: Breadth and Depth of Knowledge
Course List | Code | Title | Credits |
| CSCI 1010 | Introduction to Computers | 4 |
| CSCI 1020 | Introduction to Networks | 4 |
| CSCI 3000 | Computer Operations & Security | 4 |
| CSCI 4000 | Advanced Computing Models: Virtualization Cloud & Mobile Computing | 4 |
| CSCI 4005 | Software Engineering | 4 |
| CSCI 4015 | Theory of Computation | 4 |
| INFS 2000 | Exploring the Disciplines: Information Systems: Introductory | 2 |
| INFS 3010 | Database Systems | 4 |
| INFT 2020 | Introduction to Digital Crime & Digital Terrorism | 4 |
| INFT 3010 | Advanced Digital Crime & Digital Terrorism | 4 |
| INFT 3040 | Social Media Management | 4 |
| INFT 3050 | Systems Analysis & Design | 3-4 |
| INFT 4005 | Business Continuity Planning & Disaster Recovery | 4 |
| INFT 4005 | Business Continuity Planning & Disaster Recovery | 4 |
Foundation #2: Problem Solving and Critical Thinking
Course List | Code | Title | Credits |
| CSCI 1015 | Introduction to Database Design | 4 |
| CSCI 1020 | Introduction to Networks | 4 |
| CSCI 2010 | Introduction to C++ & OOP | 4 |
| CSCI 2015 | Introduction to Object-Oriented Programming: Java | 4 |
| CSCI 3000 | Computer Operations & Security | 4 |
| CSCI 3005 | Computer Organization & Architecture | 4 |
| CSCI 4000 | Advanced Computing Models: Virtualization Cloud & Mobile Computing | 4 |
| INFS 1002 | Computer Applications for Data Processing | 2 |
| INFS 2010 | Introduction to Data Management Tools | 4 |
| INFT 2020 | Introduction to Digital Crime & Digital Terrorism | 4 |
| INFT 3005 | Data Analytics | 4 |
| INFT 3010 | Advanced Digital Crime & Digital Terrorism | 4 |
| INFT 3015 | Communications Technology Convergence | 4 |
| INFT 3025 | Data Communications & Networks | 4 |
| INFT 3040 | Social Media Management | 4 |
| INFT 3045 | Social, Professional & Ethical Issues in Computing | 3,4 |
| INFT 3055 | Technology for Digital Marketing | 4 |
| INFT 3065 | Web Systems Development | 3-4 |
| INFT 4020 | Technology in Mathematics Education | 4 |
| MGIS 2000 | The Internet of Things (IoT) Essentials | 4 |
| MGIS 3000 | Business Intelligence: Practices, Technologies, Management | 4 |
| MGIS 3005 | The Business of the Internet of Things (IoT) | 4 |
| MGIS 3010 | Management Information Systems | 4 |
| or BUSN 3122 | Management Information Systems |
| MGIS 4015 | Project Management in IT / IS | 4 |
| MGIS 4020 | IT Strategy and Innovations | 4 |
Foundation #3: Methodological, Quantitative, and Digital Expertise
Foundation #4: Communication
Course List | Code | Title | Credits |
| CSCI 1010 | Introduction to Computers | 4 |
| INFS 2000 | Exploring the Disciplines: Information Systems: Introductory | 2 |
| INFS 2005 | Computer Information Systems | 4 |
| INFS 2010 | Introduction to Data Management Tools | 4 |
| INFT 1005 | Introduction to Web Publishing | 4 |
| INFT 2020 | Introduction to Digital Crime & Digital Terrorism | 4 |
| MGIS 2000 | The Internet of Things (IoT) Essentials | 4 |
| INFT 3000 | Academic Planning / Technology and Society | 4 |
| STSO 1005 | Introduction to Science & Technology Studies | 4 |
Foundation #5: Social Responsibility
Course List | Code | Title | Credits |
| INFT 2005 | Green Computing | 4 |
| INFT 3000 | Academic Planning / Technology and Society | 4 |
| INFT 3045 | Social, Professional & Ethical Issues in Computing | 3,4 |
Program Details for Mathematics
FOUNDATION #1: BREADTH AND DEPTH OF KNOWLEDGE
FOUNDATION #2: PROBLEM SOLVING AND CRITICAL THINKING
FOUNDATION #3: METHODOLOGICAL, QUANTITATIVE, AND DIGITAL EXPERTISE
FOUNDATION #4: COMMUNICATION
FOUNDATION #5: SOCIAL RESPONSIBILITY
Course List | Code | Title | Credits |
| MATH 2005 | History of Mathematics: Introductory | 4 |
| MATH 3005 | History of Mathematics: Advanced | 4 |
Program Details for Natural Sciences
FOUNDATION #1: BREADTH AND DEPTH OF KNOWLEDGE
FOUNDATION #2: PROBLEM SOLVING AND CRITICAL THINKING
FOUNDATION #3: METHODOLOGICAL, QUANTITATIVE, AND DIGITAL EXPERTISE
FOUNDATION #4: COMMUNICATION
FOUNDATION #5: SOCIAL RESPONSIBILITY
Learning Outcomes
Foundation 1: Breadth and Depth of Knowledge
Foundation 2: Problem Solving and Critical Thinking
Foundation 3: Methodological, Quantitative, and Digital Expertise
Foundation 4: Communication
Foundation 5: Social Responsibility
Detailed Foundation Learning Outcomes
- Foundation 1a: Students will be able to demonstrate a conceptual understanding of their field by articulating foundational knowledge, including key concepts, methodologies, and theories.
- Foundation 1b: Students will be able to demonstrate a conceptual understanding of their field by explaining how their program includes breadth of knowledge in their subject area.
- Foundation 2a: Students will be able to demonstrate skills to analyze and solve unique situations and problems by designing, implementing, and evaluating strategies for answering open-ended questions for which solutions are not immediately evident.
- Foundation 2b: Students will be able to demonstrate skills to analyze and solve unique situations and problems by thinking critically and objectively about problems and identifying the best solutions.
- Foundation 3a: Students will be able to demonstrate a working knowledge of investigative, quantitative, and technological approaches and skills to engage in their fields by applying the quantitative and technical skills necessary to engage in their fields.
- Foundation 3b: Students will be able to demonstrate a working knowledge of investigative, quantitative, and technological approaches and skills to engage in their fields by evaluating information, analyzing data, and utilizing technologies relevant to their disciplines.
- Foundation 4: Students will be able to demonstrate the skills needed to communicate scientific, mathematical, and/or technical concepts to a variety of audiences.
- Foundation 5: Students will be able to demonstrate an awareness of the societal context in which science, mathematics, and technology operate by demonstrating a social awareness in order to understand the interplay between their field and society.
