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  1. Programs
  2. Mathematics (BA)

Mathematics (BA)

CUNY Queens College

Bachelor's DegreeAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Credits

120 credits

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Course Pathway

45 courses in this program

145 courses
PSYCH 323
3 credits
PSYCH 214
3 credits
PSYCH 101
4 credits
PHYS 243
4 credits
PHYS 207
3 credits
MATH 385
4 credits
MATH 342
4 credits
MATH 341
4 credits
MATH 310
4 credits
MATH 271
1 credits
MATH 250
3 credits
MATH 247
3 credits
MATH 241
3 credits
MATH 231
4 credits
MATH 223
3 credits
MATH 220
3 credits
MATH 207
5 credits
MATH 202
4 credits
MATH 201
4 credits
MATH 152
4 credits
MATH 151
4 credits
MATH 141
3 credits
MATH 119
3 credits
GEOL 101
4 credits
ENSCI 112
3 credits
ENSCI 100
4 credits
ECON 387
3 credits
ECON 382
3 credits
ECON 202
3 credits
ECON 201
3 credits
ECON 102
3 credits
ECON 101
3 credits
DATA 235
3 credits
DATA 205
4 credits
CSCI 48
3 credits
CSCI 320
3 credits
CSCI 313
3 credits
CSCI 240
3 credits
CSCI 220
3 credits
CSCI 212
3 credits
CSCI 211
3 credits
CSCI 12
3 credits
CSCI 111
3 credits
BUS 386
3 credits
BIOL 105
4 credits
Program Requirements

Courses required to complete this program

MATH 151Calculus/Differentiation & Integration
4 cr
MATH 152Calculus/Integration and Infinite Series
4 cr
MATH 201Multivariable Calculus
4 cr
MATH 207Honors Calculus III
5 cr
MATH 231Linear Algebra I
4 cr
MATH 310Elementary Mathematical Analysis
4 cr
MATH 271Actuarial Mathematics I: Calculus and
1 cr
CSCI 111Introduction to Algorithmic Problem Solving
3 cr
CSCI 320Theory of Computation
3 cr
PHYS 207Introduction to Modern Physics for Engineers
3 cr
PHYS 243Thermodynamics and Statistical Mechanics
4 cr
CSCI 220Discrete Structures
3 cr
MATH 250Mathematical Computing
3 cr
MATH 241Introduction to Probability and
3 cr
MATH 341Statistical Theory for Data Science
4 cr
MATH 342Data Science Fundamentals and Machine
4 cr
CSCI 212Object-Oriented Programming in Java
3 cr
ECON 382Introduction to Econometrics
3 cr
ECON 387Advanced Econometrics
3 cr
DATA 205Introductory Analytics
4 cr
CSCI 48Spreadsheet Programming
3 cr
CSCI 211Object-Oriented Programming in C++
3 cr
CSCI 240Computer Organization and Assembly
3 cr
CSCI 313Data Structures
3 cr
BUS 386Financial Econometrics
3 cr
DATA 235Data and Society
3 cr
PSYCH 323Psychometrics
3 cr
MATH 202Advanced Calculus
4 cr
MATH 220Discrete Mathematics
3 cr
MATH 223Differential Equations with Numerical
3 cr
MATH 119Mathematics for Elementary School
3 cr
MATH 141Calculus/Differentiation
3 cr
CSCI 12Introduction to Computers and Computation
3 cr
ECON 101Introduction to Macroeconomics
3 cr
ECON 102Introduction to Microeconomics
3 cr
ECON 201Macro-Economic Analysis
3 cr
ECON 202Price Theory
3 cr
BIOL 105General Biology: Physiology and Cell Biology
4 cr
ENSCI 100Our Planet in the 21st Century: Challenges
4 cr
ENSCI 112Our Changing Planet
3 cr
GEOL 101Introduction to Planet Earth
4 cr
PSYCH 101General Psychology
4 cr
PSYCH 214Developmental Psychology: Infancy and
3 cr
MATH 247Linear Programming and Game Theory
3 cr
MATH 385Mathematical Foundations of the Secondary
4 cr
Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • New York

    New York

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1022.00

Skills

MathematicsSpeakingInstructingReading ComprehensionActive ListeningCritical ThinkingLearning StrategiesMonitoring

Knowledge

MathematicsEducation and TrainingEnglish LanguageComputers and Electronics

Abilities

Mathematical ReasoningOral ExpressionNumber FacilityOral ComprehensionWritten ComprehensionDeductive ReasoningWritten ExpressionInductive ReasoningSpeech ClarityNear Vision

Tasks

  • Compile, administer, and grade examinations, or assign this work to others.
  • Evaluate and grade students' class work, assignments, and papers.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra,
  • Hire adjunct faculty.

Technology

Computer based training softwareData base user interface and query softwareCalendar and scheduling softwareWord processing softwareAnalytical or scientific software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersConference telephonesDesktop computersDigital calculatorsDigital video camerasDigital video disk DVD playersHandheld microphonesInteractive whiteboard controllersInteractive whiteboardsLaptop computersLaser facsimile machines

Work Values

AchievementIndependenceRecognitionWorking ConditionsRelationshipsSupport
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium25-1022.00Mathematical Science Teachers, Postsecondarytitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: proficient (Level 3)(based on Bachelor's Degree)

  • Graduate and upper-division undergraduate lectures — autonomously design and deliver advanced instruction on topics such as real analysis, abstract algebra, or topology, adapting content to diverse learner backgrounds in a doctoral-granting department.
  • Comprehensive assessment systems — independently develop, administer, and evaluate a full suite of examinations, projects, and written papers that measure both procedural fluency and mathematical reasoning in a postsecondary context.
  • Non-routine student work — assess and provide substantive written feedback on graduate-level proofs, theses chapters, and research expositions, applying expert judgment about mathematical validity and communication quality.
  • Curriculum design and revision — independently lead the planning, evaluation, and revision of course content and instructional methods for a mathematics program sequence, incorporating current disciplinary and pedagogical research.
  • Interdisciplinary course materials — develop innovative syllabi and handouts that integrate computational tools, real-world applications, and primary literature to enhance student engagement and disciplinary depth.
  • Student academic advising — provide sustained mentorship and guidance to undergraduate and graduate students during office hours and advising sessions, supporting degree planning and research development in a university mathematics department.
  • Classroom discourse management — facilitate high-level seminar discussions that require students to construct, critique, and refine mathematical arguments autonomously in graduate-level course environments.
  • Learning strategy differentiation — apply evidence-based instructional approaches to address varied levels of mathematical preparation and learning needs across a heterogeneous student population.
  • Analytical and scientific software integration — incorporate tools such as Mathematica, R, or Python seamlessly into course delivery and assessment to support computational mathematics pedagogy.
  • Systems evaluation — assess the effectiveness of instructional methods and course structures by analyzing student performance trends and implementing data-informed improvements across a full academic year.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
50%
Placement Rate
80%