MASSACHUSETTS INSTITUTE OF TECHNOLOGY · UNITED STATES
Topics in Mathematics with Applications in Finance
Bachelor's · Taught in en
At a glance
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Duration
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IELTS
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Tuition / yr
en
Language
Bachelor's
Level
- 18.S096Course Number
- Fall 2013Term
- UndergraduateLevel
- MathematicsDepartment
- Dr. Choongbum LeeInstructor
This undergraduate course, offered in Fall 2013, delves into topics in mathematics with a focus on their applications in finance. It introduces fundamental concepts of stochastic processes, including random walks and Markov chains. The course explores the nature of random variables indexed by time, distinguishing between discrete-time and continuous-time processes. It aims to provide a framework for understanding and analyzing financial phenomena through mathematical modeling.
Curriculum
The course materials include lecture notes, instructor insights, and problem sets. Specific module details beyond the introductory lecture on stochastic processes are not provided.
- Fall 2013
- Stochastic Processes I18.S096
Careers
While this specific course focuses on mathematical applications in finance, the skills developed in stochastic processes and quantitative analysis are highly valuable in various finance-related careers.
- Financial Analyst
- Quantitative Analyst
- Risk Manager
- Investment Banker
Frequently asked questions
- What is this course about and who is it for?
- This undergraduate course, offered in Fall 2013, focuses on mathematics with applications in finance. It introduces stochastic processes, including random walks and Markov chains, and aims to provide a framework for analyzing financial phenomena through mathematical modeling.
- What are the tuition fees for this course?
- This course is part of MIT OpenCourseWare and provides free access to course materials. Tuition and living costs are not applicable in this context as there is no formal enrollment.
- How do I apply for this course?
- This course is offered through MIT OpenCourseWare with free access to materials, so there is no formal application process to 'apply' for the course itself.
- What career paths can this course lead to?
- The skills developed in this course, such as stochastic processes and quantitative analysis, are valuable for careers as a Financial Analyst, Quantitative Analyst, Risk Manager, or Investment Banker.
- What are the entry requirements for this course?
- Specific admission requirements for this individual course are not detailed, as it appears to be offered through OpenCourseWare. It is an undergraduate level course.
Entry requirements
UndergraduateThis is an undergraduate level course.
Specific admission requirements for this individual course are not detailed, as it appears to be offered through OpenCourseWare.
Fees
Tuition (international)—
Tuition (home)—
Living—
This course is part of MIT OpenCourseWare, providing free access to course materials. Tuition and living costs are not applicable in this context.
How to apply
1. Submit Online ApplicationApplications are submitted online via the MIT graduate admissions portal.
2. Complete Application FormFill out all required sections of the online application.
3. Upload TranscriptsAttach scanned PDF copies of all academic transcripts. Official transcripts will be required later if admitted.
4. Submit Test ScoresFor international applicants, upload scanned copies of IELTS or TOEFL documents.
5. Provide Letters of RecommendationRequest at least three electronic letters of recommendation, with at least two being academic if you are currently a student.
6. Write Statement of PurposeArticulate your scientific goals, how MIT's program aligns with them, and your relevant experiences.
7. Pay Application FeeEnsure the application fee is paid by the deadline.
Frequently asked questions
What is this course about and who is it for?
+
This undergraduate course, offered in Fall 2013, focuses on mathematics with applications in finance. It introduces stochastic processes, including random walks and Markov chains, and aims to provide a framework for analyzing financial phenomena through mathematical modeling.
What are the tuition fees for this course?
+
This course is part of MIT OpenCourseWare and provides free access to course materials. Tuition and living costs are not applicable in this context as there is no formal enrollment.
How do I apply for this course?
+
This course is offered through MIT OpenCourseWare with free access to materials, so there is no formal application process to 'apply' for the course itself.
What career paths can this course lead to?
+
The skills developed in this course, such as stochastic processes and quantitative analysis, are valuable for careers as a Financial Analyst, Quantitative Analyst, Risk Manager, or Investment Banker.
What are the entry requirements for this course?
+
Specific admission requirements for this individual course are not detailed, as it appears to be offered through OpenCourseWare. It is an undergraduate level course.