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By the end of the program of study, the student will be able to:

1. Integrate mathematical reasoning and learning techniques into their chosen profession or into further academic pursuits.
2. Be an acknowledged part of a community of learners and scholars benefitting from shared experiences both inside and outside the classroom where learning is accepted and nurtured between peers and between students and faculty members

By the end of the program of study, the student will be able to:

1. Integrate mathematical reasoning and learning techniques into their chosen profession or into further academic pursuits.
2. Be an acknowledged part of a community of learners and scholars benefitting from shared experiences both inside and outside the classroom where learning is accepted and nurtured between peers and between students and faculty members

Students who graduate from the MELT program will demonstrate the habits of mind that support lifelong learning by being able to:

1. Seek information and use inquiry to systematically explore problem situations, collect and analyze evidence, and make informed evaluations.
2. Integrate knowledge of mathematics within and across mathematics education courses with an understanding of K-8 students’ mathematical thinking.
3. Use qualitative and quantitative reasoning to develop a clear understanding of problems and generate creative problem solutions through original, imaginative, innovative efforts
4. Effectively communicate school mathematics and demonstrate mathematics content knowledge, deep reflection, creativity, and critical thinking.

The MELT program aspires to build a community of learners and scholars benefiting from shared experiences both inside and outside the classroom where learning is accepted and nurtured between peers and between students and faculty members.

By the end of the program of study, the student will be able to:

1. Represent and manipulate data in effective ways.
2. Manipulate data using packages/tools and by ad hoc data handling.
3. Use mathematical, computational and statistical tools to detect patterns and model performance.
4. Use computational principles and tools to tackle issues addressable by data science.
5. Use a solid foundation in data science to independently learn new methodologies and technologies in the field of data science.

By the end of the program of study, the student will be able to:

1. Set up an economic problem using mathematical notation.
2. Solve an economic problem using mathematics.
3. Develop an economically intuitive explanation of a mathematical solution.
4. Apply econometric techniques to empirically test a theory.

By the end of the program of study, the student will be able to:

1. Use mathematical and probabilistic reasoning to draw conclusions from data and make inference.
2. Use data to build models for real world complex systems and provide description, interpretation and exploratory analysis of the data by graphical and other means.
3. Incorporate statistical software, computing and programming tools to manage, visualize, and interpret data of all kinds.
4. Communicate effectively in writing and verbally to both technical and non-technical audiences.
5. Be an acknowledged part of a community of learners and scholars benefitting from shared experiences both inside and outside the classroom where learning is accepted and nurtured between peers and between students and faculty members.