Labor market trends indicate a growing need for professionals in the STEM disciplines in New Hampshire as well as across the country. The Mathematics degree is designed for students planning to transfer to four-year degree concentrations leading to STEM careers in mathematics, research and data analysis. In addition the Mathematics degree supports pathways for students who want to work in areas such as business, finance, strategic planning, or quality improvement .
A degree in Mathematics is the beginning of a pathway that leads to careers such as: Engineer, Data Analyst, Research Technician, Survey Technician, Educator, City Planning Aide, Business/Finance Analyst, Strategic Planning, Insurance Analyst, Quality Improvement Assistant.
Program Goal
The Mathematics degree is designed for students who are planning to pursue a four-year degree in Mathematics. The curriculum includes both the general education and mathematics courses typically required in the first two years of a bachelor’s concentration in Mathematics. This degree is also excellent preparation for students who wish to pursue a bachelor’s degree in mathematics education, engineering and related disciplines.
Program Outcomes
Students who graduate from this program will be able to:
- Demonstrate applicable problem solving ability in completing mathematical practices
- Apply mathematical principles to other disciplines including physical and life sciences, technologies, social sciences and business
- Communicate in the language of mathematics effectively using appropriate mathematical terminology both verbally and written
- Use logical reasoning in understanding mathematical proofs
Mathematics Degree
Degree Program - First Year |
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| First Year | Fall Semester | TH | LAB | CR |
|---|---|---|---|---|
| MATH204M | Calculus I | 4 | 0 | 4 |
| PHYS210M | University Physics I | 3 | 3 | 4 |
| ENGL110XM or ENGL110M |
College Composition I with Corequisite or College Composition I |
4 | 0 | 4 |
| FYE100M | MCC Essentials | 1 | 0 | 1 |
| Open Elective | 3 | 0 | 3 | |
| Total | 15 | 3 | 16 | |
| First Year | Spring Semester | TH | LAB | CR |
| MATH214M | Calculus II | 4 | 0 | 4 |
| PHYS220M | University Physics II | 3 | 3 | 4 |
| Foreign Language/Humanities/Fine Arts Elective | 3 | 0 | 3 | |
| Mathematics Pathway Option - Choose one: (CIS122M, MATH210M, ROBO211M, DATA215M) | 3 | 0 | 3 | |
| Engineering Pathway Option - Choose one: (CIS122M, MATH210M, ROBO211M, DATA215M) | 3 | 0 | 3 | |
| Physics Pathway Option: CHEM115M | 3 | 3 | 3 | |
| Total | 13 | 3/6 | 14 | |
|
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| Second Year | Fall Semester | TH | LAB | CR |
| MATH218M | Introduction to Linear Algebra | 4 | 0 | 4 |
| MATH222M | Multidimensional Calculus | 3 | 2 | 4 |
| Social Science Elective | 3 | 0 | 3 | |
| Mathematics Pathway Option: Open Elective | 3 | 3 | 3 | |
| Engineering Pathway Option: ADMT225M | 3 | 0 | 3 | |
| Physics Pathway Option: PHYS230M | 3 | 3 | 4 | |
| Total | 13 | 2/5 | 14/15 | |
| Second Year | Spring Semester | TH | LAB | CR |
| MATH220M | Differential Equations | 4 | 0 | 4 |
| Mathematics Pathway Option: MATH299M | 4 | 0 | 4 | |
| Mathematics Pathway Option: MATH215M | 4 | 0 | 4 | |
| Mathematics Pathway Option: Lab Science Elective | 3 | 3 | 4 | |
| Engineering Pathway Option: ADMT112M | 3 | 3 | 4 | |
| Engineering Pathway Option: Mathematics Elective | 4 | 0 | 4 | |
| Engineering Pathway Option: Lab Science Elective | 3 | 3 | 4 | |
| Physics Pathway Option: MATH299M | 4 | 0 | 4 | |
| Physics Pathway Option: PHYS225M | 4 | 0 | 4 | |
| Total | 14-16 | 0/3 | 16 | |
Total Credits - 60/61 |
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Applied Data Analytics Certificate
Data is an increasingly important part of our lives; from business operations and processes to environmental systems, social sciences, genetics, and health care, data allows us to gain important insights and make useful predictions. Data Analytics comprises all the academic disciplines related to managing data as a resource; such as visualization, machine learning, statistical applications, data mining, predictive analytics, and database management. Upon completion, the student will have foundational understanding of and competency with many facets of effective communication with data.
| TH | LAB | CR | ||
|---|---|---|---|---|
| MATH202M | Probability and Statistics | 4 | 0 | 4 |
| MATH212M | Probability and Statistics II | 4 | 0 | 4 |
| DATA210M | Introduction to Data Mining | 3 | 2 | 4 |
| DATA215M | Applied Data Analytics | 3 | 2 | 4 |
| Elective - Choose one: (CIS113M, CIS220M, CIS233M, MATH218M) | 4 | 3 | 4 | |
Total Credits - X |
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