29 courses with the subject MA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
1 lecture hour For Toy Design students. This course helps students develop the fundamental computational skills required for MA 241. Corequisite(s): MA 241.
4 lecture hours This is a basic mathematics course with an emphasis on applications. This course reviews such topics as fractions, percents, decimals, ratios and proportions, rounding and estimating, measurement systems, linear equations and inequalities, and systems of linear equations. It is designed to provide the necessary skills for credit-bearing mathematics and sciences courses. Prerequisite(s): SAT scores of 530 or above will not require this course. ACT scores of 23 and above will not require this course.
4 lecture hours In this group-work based course, students integrate fluency with numbers, proportional reasoning, data interpretation, algebraic reasoning and communicating quantitative information through group problem solving and class discussions. Problems are drawn from the areas of citizenship, personal finance, and medical literacy. Students will use a scientific calculator. This course satisfies the Mathematics Proficiency requirement. It is an alternate to MA 080 Basic Mathematics. Prerequisite(s): SAT scores of 530 or above will not require this course. ACT scores of 23 and above will not require this course.
3 lecture hours Enhance your decision-making skills by using research methods in your life. Using guided, step- by-step instructional support, you will be able to design your own research, carry it out, and learn how to analyze the results. You will be able to apply the scientific research method in a practical, everyday context, and understand the value of research by gaining research skills through hands- on activities. Prerequisite(s): mathematics proficiency (see beginning of Mathematics section).
3 lecture hours This course introduces the foundation of data science. It provides students with an understanding of the role of data science in making meaningful, data-driven decisions and predictions. This course is intended for students with no programming experience. Prerequisite(s): Mathematics Proficiency.
3 lecture hours A contemporary primer of geometric topics that expand the concepts of shape and space, this course presents some of the established and emerging ways geometry can provide tools and insights for artists and designers. Included are a variety of visual phenomena such as fractals, knots, mazes, symmetry, and the golden ratio. Prerequisite(s): mathematic proficiency (see beginning of mathematics section).
3 lecture hours Using a variety of puzzles and problems, students will explore the mathematics that emerges from paper folding and cutting. Students will learn to build models, analyze algebraic and geometric relationships, make conjectures, and develop proofs with paper. Applications in fashion, product design and technology will be introduced. Prerequisite(s): Mathematics proficiency. 436 Courses and Departments
3 lecture hours This course is an introduction to programming for mobile apps. Through visual programming tools, students learn to build mobile apps and control all aspects of the application. Computer science concepts are introduced to provide a complete understanding of the programming process. No previous programming experience is required. Prerequisite(s): mathematic proficiency (see beginning of Mathematics section).
3 lecture hours Provides an overview of the historic, heuristic, and visual dimensions of mathematics. Includes the golden ratio, fractal geometry, sets and groups, logic and circuits, Euler diagrams, number theory, and discrete math. (G2: Mathematics) Prerequisite(s): mathematics proficiency (see beginning of Mathematics section).
3 lecture hours This course is a visual primer for elementary number theory. It explores patterns within the natural numbers, integers and rational numbers. Topics include divisibility, remainders, prime numbers, fractions, the greatest common factor, the Euclidean Algorithm, congruence, modular arithmetic, linear equations, Fermat’s little theorem, and cryptography. Whenever possible, visualizations will be used to demonstrate these concepts. Real life examples will draw from the visual arts, music theory, and data communication. Prerequisite(s): mathematic proficiency (see beginning of Mathematics section).
3 lecture hours Explores the mathematical model-building process in the settings provided by linear programming and probability. Includes simplex methods for solving linear programs; duality; matrix algebra; probability models based on equally likely outcomes, independent events, and conditional probability; applications, particularly to business and economics; and elementary math of finance. (G2: Mathematics) Prerequisite(s): mathematics proficiency (see beginning of Mathematics section).
Semester 2 Credits MAJOR AREA AC 111 - Advertising and Promotion 3
3 lecture hours This traditional precalculus course introduces students to math concepts for a wide variety of applications. Topics include polynomial, rational, exponential, and logarithmic functions; sequences and series; analytic geometry; and trigonometry. Prerequisite(s): mathematic proficiency (see beginning of Mathematics section).
Semester 8 Credits MAJOR AREA TY 414 - Games*** 1.5
3 lecture hours This is an interdisciplinary course cross-listed with HA 272. Students are introduced to the art and architecture of the Islamic world from the 7th century CE to the present. They are given a glimpse into the intertwined nature of mathematical, structural and decorative languages used by artisans and designers in this period.
Prerequisite(s): a minimum 3.5 GPA and approval of instructor, chairperson, and dean for Liberal Arts.
or MA 311 - Mathematical Modeling for Business Applications choice - see Requirements: Liberal Arts Elective(s) 3 Semester 7 Credits MAJOR AREA IN 433 - Global Sourcing 3 choice - see Requirements: Major Area Elective(s) 3 LIBERAL ARTS choice - see Requirements: Liberal Arts/Economics minor courses 3 choice - see Requirements: Liberal Arts Elective(s) 3 choice - see Requirements: Liberal Arts/World Languages 3 Semester 8 Credits MAJOR AREA IC 497 - Senior Internship: Career Planning 3 or IN 492 - International Trade Practicum or Requirements: Major Area Elective(s) choice - see Requirements: Major Area Elective(s) 3 LIBERAL ARTS choice - see Requirements: Liberal Arts Elective(s) 3 choice - see Requirements: Liberal Arts Elective(s) 3 choice - see Requirements: Liberal Arts Elective(s) 3
282 Academic Minors
72 Instructional Programs
or MA 322 - Statistics, Machine Learning, and Data Mining Semester 7 Credits MAJOR AREA CM 024 - Fragrance Knowledge Lab 1
3 lecture hours This is an introduction to statistical techniques for machine learning and data mining. It emphasizes mathematical methods and computer applications related to automated learning for prediction, classification, knowledge discovery, and forecasting in modern data science. An appropriate programming language such as R or python will be used. Prerequisite(s): MA 222 and mathematic proficiency (see beginning of Mathematics section). 438 Courses and Departments
3 lecture hours The course aims to introduce students to data analytics, which is crucial for gaining insights from data and making data-driven decisions. Throughout the course, students will develop a foundational understanding of key data analytics concepts, including data mining, data pre- processing, exploratory data analysis, visualization, and text mining. In addition, students will gain hands-on experience working with popular data analytics tools, such as Python libraries, through computer programming exercises. Prerequisite(s): MA 222.
2 lecture and 2 lab hours This is an interdisciplinary course cross-listed with FM 329. This course provides students interested in predictive analytics with an understanding of statistical applications to retail merchandising with a focus on case studies from the company Planalytics. Students apply time series analysis to case studies to understand how analytics techniques lead to stronger sales, fewer markdowns and improved gross margins. Prerequisite(s): MA 222.
3 lecture hours This course provides an introduction to basic differential Calculus. Students will study techniques of differentiation including the product rule, quotient rule, general power rule, chain rule. There is an emphasis on applications rather than rigorous mathematical proofs. The exponential and logarithmic functions, along with elementary differential equations will show a direct connection to the physical world. Prerequisite(s): MA 231.
Choose three (3) courses:
3 lecture hours Students are introduced to modular arithmetic and basic cryptography algorithms through a systematic treatment of topics such as divisibility, remainders, fractions and functions, mod b, and Fermat's little theorem. The course culminates in applications of the RSA encryption algorithm. Prerequisite(s): mathematic proficiency (see beginning of Mathematics section).
3 lecture hours This interdisciplinary survey of mathematics from prehistory to Archimedes covers topics from the basic (different ways of conceiving numbers) to the complex (a proof of the Pythagorean theorem). The cultural and historical context of the mathematical achievements of ancient Egypt, Mesopotamia, and Greece are emphasized in a way that shows these achievements as a natural and integral part of the civilizations that created them. Comparisons to modern methods in mathematics are stressed. Prerequisite(s): Qualification for Presidential Scholars or a min 3.5 GPA with approval of dean for Liberal Arts and mathematic proficiency. 2026-27 Undergraduate Catalog 439
NATURAL SCIENCES (AND SCIENTIFIC REASONING) (NSCI) Students will demonstrate scientific reasoning applied to the natural world, including • an understanding of the methods scientists use to explore natural phenomena, including observation, hypothesis development, measurement and data collection, experimentation, evaluation of evidence, and employment of data analysis or mathematical modeling; and • application of scientific data, concepts, and models in one of the natural sciences.
3 lecture hours Students work individually with math instructor to explore salient area of research within the mathematics discipline (computer programming, personal finance, statistics, geometry, etc.). Must have a minimum of 3.5 GPA and approval of instructor, chairperson, or dean for Liberal Arts. MC: Modern Languages and Cultures
Source: Fashion Institute of Technology's catalog, linked per course · table learning_unit · CourseShelf publish 61
