Machine Learning Technology for Finance Course
Washington , United States
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Tuition Fee
Per course
Start Date
Medium of studying
Fully Online
Duration
1 months
Program Facts
Program Details
Degree
Courses
Major
Business Analysis | Finance | Strategic Management
Area of study
Business and Administration
Education type
Fully Online
Timing
Full time
Course Language
English
Intakes
| Program start date | Application deadline |
| 2023-12-01 | - |
| 2024-01-01 | - |
| 2024-02-01 | - |
| 2024-03-01 | - |
| 2024-04-01 | - |
| 2024-05-01 | - |
| 2024-06-01 | - |
| 2024-07-01 | - |
| 2024-08-01 | - |
| 2024-09-01 | - |
| 2024-10-01 | - |
| 2024-12-01 | - |
About Program
Program Overview
Nexford University's 8-week Machine Learning Technology for Finance course equips learners with the skills to apply machine learning techniques in finance. Through interactive modules, quizzes, and a final project, participants gain expertise in feature engineering, algorithmic trading, and risk management. The program is taught by industry professionals and offers support through individual feedback and success advisors.
Program Outline
Outline:
Duration:
8 weeks
Modules:
7
Schedule:
Starts on the 1st of the month.
Coursework:
Reading materials, videos, interactive elements, quizzes, and case studies.
Assessments:
Regular quizzes and a final project.
Modules:
- Module 1: Introduction to Machine Learning and Finance
- Module 2: Supervised Learning in Finance
- Module 3: Unsupervised Learning in Finance
- Module 4: Reinforcement Learning in Finance
- Module 5: Performance Evaluation and Model Selection
- Module 6: Ethics and Regulatory Implications
- Module 7: Final Project
Assessment:
The course uses various methods to assess student learning:
- Quizzes: Regular quizzes throughout the program.
- Final Project: A real-world application of learned skills.
Teaching:
- Faculty: Experienced professionals with industry expertise.
- Support: Individual feedback, regular optional webinars, and success advisors.
- Learning approach: Hands-on assessments reflecting real-world scenarios.
Careers:
- Relevant jobs: Compliance Analyst, Business Analyst, Asset Manager, CTO
- Skills gained: Feature engineering, finance algorithms, algorithmic trading, NLP for finance, portfolio optimization, risk management, regulatory compliance.
Other:
- Start date: June 1st
- Cost: $ - Course credits 3
- Prerequisites: None
- Learning format: Not live or recorded lectures, but rather a mix of readings, videos, and interactive elements.
- Global community: Opportunities to collaborate and network with learners from top companies.
- Additional perk: Unlimited access to LinkedIn Learning during the program.
- Testimonials: Positive feedback from current learners highlighting the program's positive impact on their career development.
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About University
Nexford University
Overview:
Nexford University is a next-generation online university based in Washington DC. It offers globally affordable, accredited degree programs at a flexible pace.
Services Offered:
Degree Programs:
Nexford offers both undergraduate and graduate degree programs, including an online BBA, MBA, MS in Data Analytics, MS in Digital Transformation, and MS in Entrepreneurship.Specializations:
Students can specialize their degrees in various in-demand fields like Artificial Intelligence, Business Analytics, Digital Marketing, Entrepreneurship, Cybersecurity, E-Commerce, Fintech & Blockchain, International Business, and Sustainability.Certificates:
Nexford offers both undergraduate and graduate certificates in various fields.Courses:
Nexford offers a range of individual courses for students to explore specific areas of interest.Transfer Credits:
Students can transfer credits from other institutions to Nexford.Scholarships:
Nexford offers scholarships to eligible students.Career Services:
Nexford provides career services to help students find jobs after graduation.Success Advisors:
Students have access to 24/7 support from Success Advisors and faculty.Global Learning Community:
Nexford fosters a global learning community where students can connect with peers from around the world.Key Reasons to Study There:
Affordable Tuition:
Nexford offers a unique monthly payment plan, allowing students to pay for their education at a more affordable rate.Flexible Learning:
Students can learn at their own pace and on their own schedule, fitting their studies around their work and personal commitments.Skills-Focused Curriculum:
Nexford's programs are designed to equip students with in-demand skills that are relevant to the current job market.US Accredited:
Nexford is accredited by the Distance Education Accrediting Commission (DEAC), a recognized accrediting agency by the US Department of Education.Global Community:
Students can connect with a diverse community of learners from over 110 countries.Academic Programs:
Undergraduate:
- Online BBA Degree Program
- Online BBA Top-Up Program
- Associate of Applied Science in Business (AAS)
Graduate:
- Online MS Degree Programs (Data Analytics, Digital Transformation, Entrepreneurship)
- Online MBA Degree Program
Other:
- Nexford University is designed for a global audience looking to build in-demand skills while earning recognized and accredited credentials.
- Nexford leverages technology to deliver world-class education at a fraction of the cost of traditional universities.
- Nexford's programs are future-focused and competency-based, enabling students to build practical skills for career advancement.
Total programs
5
Admission Requirements
Entry Requirements:
EU Home Students:
- High school diploma or equivalent qualification with good grades in relevant subjects like mathematics, statistics, and computer science.
- Strong analytical and problem-solving skills.
- Interest in machine learning and its applications in finance.
International Overseas Students Outside the EU:
- High school diploma or equivalent qualification with good grades in relevant subjects like mathematics, statistics, and computer science.
- Demonstrated English language proficiency (e.g., IELTS score of 6.5 or equivalent).
- Strong analytical and problem-solving skills.
- Interest in machine learning and its applications in finance.
Language Proficiency Requirements:
- IELTS: Minimum score of 6.5 overall, with no band below 6.0.
- TOEFL: Minimum score of 90, with a minimum of 22 in writing.
- PTE Academic: Minimum score of 62.
- CAE/CPE: Grade C or above.
Note:
These are the general entry requirements. Specific requirements may vary depending on the applicant's background and nationality.
- Students without a background in computer science or finance may be required to complete prerequisite courses.
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