Are you looking to leverage the power of machine learning in the dynamic world of financial engineering? Baruch College’s esteemed Financial Engineering program is excited to announce a groundbreaking seminar: Machine Learning For Financial Engineering Applications, offered for the first time in Spring 2025 as part of the Pre-MFE seminar series. This is your opportunity to gain a competitive edge in the rapidly evolving finance industry and prepare for advanced graduate studies.
Master Cutting-Edge Techniques in Financial Modeling
This innovative seminar is designed to equip participants with the essential knowledge and practical skills in machine learning specifically tailored for financial engineering. Whether you are a prospective graduate student in financial engineering or a finance professional seeking to enhance your quantitative toolkit, this course will provide you with a robust foundation in this critical domain.
The curriculum, detailed in the syllabus, covers a comprehensive range of topics, ensuring you understand both the theoretical underpinnings and practical applications of machine learning in finance. You will learn how to apply machine learning algorithms to solve real-world financial problems, from algorithmic trading and risk management to portfolio optimization and fraud detection.
This seminar is part of the broader Baruch Pre-MFE Program, a series of online seminars designed to prepare individuals for the rigors of graduate-level financial engineering studies. The Pre-MFE program is renowned for its rigorous curriculum, experienced instructors from the Baruch MFE Program faculty, and its focus on practical financial applications.
Flexible Online Learning for Global Professionals
Recognizing the needs of a global audience, all Pre-MFE seminars are delivered online via Zoom, making them accessible from anywhere in the world. You do not need to be in New York to participate. Last year, our Pre-MFE students joined us from Asia, Europe, North America, and South America, creating a diverse and enriching learning environment.
The synchronous online format ensures a highly interactive learning experience. Seminars are scheduled for evening hours in New York time (7-11 pm), comprising a three-hour lecture followed by a dedicated one-hour review session with teaching assistants. This structure allows for real-time engagement with instructors and peers, fostering a collaborative learning atmosphere.
Broaden Your Quantitative Finance Skillset with Complementary Seminars
To further enhance your preparation, Baruch Pre-MFE offers a range of synchronous online seminars covering fundamental quantitative finance topics:
- Accelerated Advanced Calculus with Financial Engineering Applications: A one-month intensive course in January 2025 (syllabus) ideal for those wanting to take multiple Spring seminars and strengthen their mathematical foundation.
- Advanced Calculus with Financial Engineering Applications (syllabus)
- Probability Theory for Financial Applications (syllabus)
- Numerical Linear Algebra for Financial Engineering (syllabus)
These seminars are designed to equip you with the mathematical and computational skills essential for success in financial engineering and are highly recommended to complement your machine learning knowledge.
Asynchronous Online Certificates for Continuous Learning
For those seeking flexible, self-paced learning options, the Baruch Pre-MFE Program also offers asynchronous online certificates:
- C++ Programming for Financial Engineering Certificate: Develop crucial C++ programming skills with content from Dr. Daniel Duffy, a leading expert in the field.
- Advanced C++11/C++14 and Multidisciplinary Applications: Further refine your C++ expertise with advanced topics and applications.
- VBA/Python/SQL with Applications: Master essential programming languages for financial data analysis and manipulation.
These certificates provide practical, industry-relevant skills and are excellent additions to your professional profile.
Registration and Enrollment Details
Enrollment in each synchronous seminar is limited to 40 participants to ensure personalized attention and effective learning. To apply for enrollment in the Machine Learning for Financial Engineering Applications seminar or any other synchronous Pre-MFE seminar, please send an email to [email protected] with the following documents:
- A current resume highlighting your relevant experience and qualifications.
- A one-page statement outlining your career and educational goals and explaining how the Pre-MFE seminars align with these aspirations.
- Indicate the specific seminar(s) you wish to register for.
Upon successful application, you will receive further instructions regarding enrollment confirmation and tuition payment.
Key Dates and Tuition for Machine Learning Seminar:
- Seminar Title: Machine Learning for Financial Engineering Applications
- Dates: February 5 – April 2, 2025
- Instructor: Giulio Trigila, Baruch MFE Faculty
- Syllabus: here
- Tuition: $1,650
- Registration: Open Now
Information Session:
Attend our online Information Session on January 27, 6pm New York time to learn more about the Pre-MFE seminars and ask any questions you may have. Register for the information session here: https://baruch.zoom.us/meeting/register/NBE8tpWpQpSSs5TbXbRKNw
Earn a Certificate of Completion
Upon successful completion of the seminar, including passing the final exam with a 70% or higher average, you will receive a Certificate of Completion. Outstanding performance, achieving a 90% or higher average, will earn you a Certificate of Completion with Distinction, recognizing your exceptional achievement. These certificates are valuable credentials to showcase your dedication to professional development and enhance your academic or career prospects.
Frequently Asked Questions
1. Can I enroll in individual seminars?
- Yes, you can enroll in seminars individually based on your specific needs and interests.
2. How do I secure my spot in a seminar?
- Submit your resume and personal statement as outlined in the registration process. Once your application is approved, you will need to pay the tuition to confirm your enrollment.
3. What is the tuition refund policy?
- We offer a tiered refund policy: 90% refund up to one week before the seminar starts, 80% before the first session, 60% after the first session, and 30% after the second session, with no refunds after that point.
4. Are these seminars only for prospective graduate students?
- No, finance professionals seeking to deepen their knowledge and skills in quantitative finance and machine learning will also find these seminars highly beneficial.
5. What is the passing rate and distinction rate in the seminars?
- On average, 58% of participants receive a Certificate of Completion, and 31% achieve a Certificate of Completion with Distinction, indicating a rigorous yet achievable learning environment.
6. Do you provide visa support for these online seminars?
- No, visa support is not provided as the seminars are fully online and do not require physical presence in the US.
7. Will completing the Pre-MFE Program guarantee admission to the Baruch MFE Program?
- Admission to the Baruch MFE Program is a separate process. However, Pre-MFE instructors can provide letters of recommendation, and the program gives you a strong foundation, with over 20% of current MFE students having completed Pre-MFE seminars.
8. What is the expected prior knowledge for these seminars?
- A prior undergraduate level course in the relevant subject is expected. For the Machine Learning seminar, familiarity with basic programming and statistics is recommended. For example, Numerical Linear Algebra seminar requires prior Linear Algebra coursework.
9. Is attendance mandatory for online seminars?
- Yes, attendance is mandatory for the synchronous online seminars. Missing more than one session is generally not permitted. Attendance is tracked, and deductions may apply for unexcused absences.
Don’t miss this opportunity to delve into the exciting field of machine learning for financial engineering applications. Register today for the Spring 2025 seminar and take the next step in your quantitative finance career!
