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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Course Overview

The Intelligent Investing for Everyone programme addresses the various investment-related topics and bridges the gap between professional investors and everyone else. Whether you're investing in your own portfolio or an organisation's, you can enjoy better investment outcomes using AI, Machine Learning (ML), Blockchain, and big data techniques and tools.

This 8-week online curriculum involves interactive sessions held by the prestigious Berkeley Haas faculty. It has been divided into eight modules for maximum comprehension. Approximately 3-5 hours every week will be required to finish the Intelligent Investing for Everyone course.

You’ll learn concepts via case studies, moderated discussion groups, live office hours, and real-world application exercises. Once you complete the Intelligent Investing for Everyone training successfully, you’ll be one step closer to UC Berkeley’s alumni, a private worldwide network of over 41,000 members across 80 countries. 

You will also get a completion certificate from UC Berkeley Executive Education that highlights your gained skills to prospective recruiters.

The Highlights

  • Online programme
  • UC Berkeley’s exclusive alumni status
  • UC Berkeley Executive Education’s certification
  • 8-week training
  • Flexible payment methods
  • Industry-relevant case studies
  • Moderated group discussions
  • Live office hours

Programme Offerings

  • UC Berkeley’s alumni status
  • Completion Certification
  • Expert faculty from UC Berkeley Haas
  • Real-world application exercises
  • industry case studies
  • Live office hours
  • Module-wise learning

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesHaas School of Business, Berkeley
  • The Intelligent Investing for Everyone program fee is $2,600.
  • You can pay the fee in 2-part/3-part EMIs or in full.
  • If you provide a referral, you can get a discount of US$ 260.

Intelligent Investing for Everyone fee structure

Course payment type

Fees in USD

Upfront payment

$2,600

2-Part instalments

$1,459 + $1,193

3-Part instalments

$983 + $874 + $873


Eligibility Criteria

To earn the Intelligent Investing for Everyone programme certificate, you must finish at least 75% of the in-course activities, including capstone projects (if any). 

What you will learn

Financial knowledge

The Intelligent Investing for Everyone course syllabus builds your foundation in these areas: 

  • Evaluating key metrics applied in the valuation of companies
  • The upcoming trends in investment strategies
  • How institutional investors invest successfully via the power of technology and data
  • Essentials of how financial engineering can expose companies’ attempts to manipulate investor beliefs and overpriced stocks

Admission Details

  • Tap on this link - https://em-executive.berkeley.edu/intelligent-investing - to reach the Intelligent Investing for Everyone programme portal.
  • Scroll down and click on ‘Apply Now’.
  • Log in with your existing account credentials. If you don’t have one, create a new account.
  • Then, hit the ‘Start Application’ icon.
  • Provide the required information to complete the on-screen application and select ‘Next’. 
  • Complete the course fee payment to enrol.

Application Details

The Intelligent Investing for Everyone training application requires your full name, street address, postal/zip code, city of residence, country of residence, nationality, phone number, and gender. You must also select if you’re a citizen of the mentioned country.

The form also requires your work experience details. Provide the number of years you’ve worked, most recent compensation (in USD), job function, company name, job title, and industry.

The Syllabus

  • The factors that determine a company's valuation. 
  • Identify when a company's stock price is overvalued or undervalued so that you can make better investment decisions.

  • When evaluating an investment opportunity you need to understand a company's past performance and future potential. 
  • Interpret financial reports and forecasts using professional investors' analysis techniques.

  • How companies use issuances and buybacks strategically to engineer value for themselves and their shareholders.

  • How real-time investment decision-making help to level the playing field between Wall Street and Main Street.

  • Apply the fundamentals of blockchain technology to evaluate its applications and make informed decisions around investments in corporations and initial coin offerings (ICOs).

  • Professional investors and financial analysts use big data to give them an edge over other investors. 
  • How you can access financial data, and explore creative ways to enhance your data sources to make better investment decisions.

  • Evaluate the impacts of AI and ML in the financial landscape 
  • Analyze the respective outcomes for both professional and personal investors.

  • How Fintech is empowering everyday investors to access new markets and sources of funding that were previously only available to professional investors.

Instructors

Haas School of Business, Berkeley Frequently Asked Questions (FAQ's)

1: Is 4 hours per week enough to complete the Intelligent Investing for Everyone training properly? Is 4 hours per week enough to complete the Intelligent Investing for Everyone training properly?

Yes, anywhere between 3-5 hours/week should help you complete the course comfortably.

2: Does UC Berkeley Executive Education offer this course directly?

No, they deliver the Intelligent Investing for Everyone online course via Emeritus. 

3: How many course modules will I have to study?

There are 8-course modules to complete.

4: Will the curriculum teach me about AI and ML applications in finance?

Yes, the Intelligent Investing for Everyone certification syllabus has a dedicated module to cover ML and AI’s applications in the financial sphere.

5: Who are the Intelligent Investing for Everyone course faculty members?

Panos N. Patatoukas and Omri Even-Tov from UC Berkeley Haas are the course faculty.

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