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Blended Learning MIT

Organization Description

By combining MIT's academic resources with the industry professionals of many of the world's leading technology companies, the program focuses on developing learners' cross-disciplinary coordination skills, research strengths, and global career skills.
In September 2021, Blended Learning MIT and HBS Online officially opened Blended Learning's newest theme course.
The video on the left is about the brief intro of the program. Feel free to watch it!

Overview Description of Courses

2 Worldleading Schools' Elite Collaborations
MIT & Harvard Business School

3 Trending Topics
Artificial Intelligence, Data Analytics, Quantum Computing

10 Major Cross-Cutting Research Fields
FinTech, Healthcare, Psychology, Machine Learning, Blockchain Technology, Materials, Public Administration, Environment & Energy, Smart Hardware, New Media, etc.

19 Top Business Case Studies
JP Morgan, General Electric, Johnson & Johnson, Netflix,Bridgewater, IKEA, Neuralink, Coinbase, Twitter, Tesla, Microsoft, Apple, Siemens, Shell tc.

Scope of Services

Blended Learning MIT offers 3 learning plans with rolling admissions throughout the year:

  • Blended Learning Basic:1 SPOC
  • Blended Learning Complete:1 SPOC + 1PBL
  • Blended Learning Member:1 SPOC + Unlimited PBLs (Anual)

What is SPOC?
Small Private Online Learning

  1. Learning Platform:Official MIT/Harvard learning platform
  2. Learning Format: A mix of recorded live lectures and post-class quizzes
  3. Duration: 4-6 weeks, 4-6 hours per week.
  4. Learning Management: The SPOC management team will monitor students' progress and provide assistance at all times.
  5. Course Outcomes: Official MIT/Harvard Program Certificate.

What is PBL?
Project-Based Learning

  1. Learning Format: Meet with the instructor online through an instant messaging platform.
  2. Duration: 12 weeks, 4-6 hours per week.
  3. Learning Management: Group students will work instantly with the program instructor and teaching assistants to establish groups to answer questions at any time.
  4. Course Outcomes: A publishable paper or project report and a letter of recommendation from the project leader.

In the options below, you may pay attention to check whether the course name has the words SPOC and PBL in it.

Disclaimers:

Applicants should be aware that Blended Learning MIT independently operates the program and collects the fees, and assumes full liabilities of the program contents and services. Please be advised to carefully read and verify the program information, and submit application according to your personal finance and academic situation.

Available courses:

Base SPOC: Machine Learning, Modeling, and Simulation Principles

Base SPOC in the Artificial Intelligence: Problem Solving with Machine Learning program.
Blended Learning MIT
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Advanced SPOC: Applying Machine Learning to Engineering and Science

Advanced SPOC in the Artificial Intelligence: Problem Solving with Machine Learning program.
Blended Learning MIT
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Base SPOC: Introduction to Quantum Computing

Base SPOC in the Quantum Computing Fundamentals program.
Blended Learning MIT
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Advanced SPOC: Quantum Algorithms for Cybersecurity, Chemistry, and Optimization

Advanced SPOC in the Quantum Computing Fundamentals program.
Blended Learning MIT
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SPOC: Data Analytics - Harnessing Data for Business Problem-Solving

Beginning with basic descriptive statistics and progressing to regression analysis, you’ll implement analytical ...
Blended Learning MIT
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AI: Machine Learning in Quantitative Finance - J.P. Morgan Project

In this PBL, you will learn the machine learning tools and modern theory of financial economics that big investment ...
Blended Learning MIT
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AI: Computer Vision and Image Processing - Microsoft Project

The tracks of this PBL borrow ideas from Microsoft, working on top-of-the-line computer vision systems to push ...
Blended Learning MIT
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AI: Machine Learning for Earthquake Prediction - Shell Project

In this PBL, students will have the opportunity to learn about the computational tools Shell uses and leverage them ...
Blended Learning MIT
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AI: Machine Learning and Smart Transportation - Lyft Project

In this PBL, students will get a deep understanding of "short-term prediction" widely applicable in TNCs, especially ...
Blended Learning MIT
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AI: Atomistic Simulation - Schrödinger Project

In this PBL, students will learn the computational tools that Schrödinger uses for large-scale drug discovery and ...
Blended Learning MIT
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AI: Natural Language Processing - Apple Siri Project

In this PBL, students will learn the most advanced aspects of NLP used by Apple, including text summarization and ...
Blended Learning MIT
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AI: Designing Machine Learning Hardware - Tesla Project

Through this PBL, students will gain practical skills and valuable insights into how the hardware is designed with ...
Blended Learning MIT
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AI: Deep Learning in Medical Imaging - Siemens Project

Through this PBL, students will gain a mastery of deep learning solutions utilized by Siemens in medical imaging.
Blended Learning MIT
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AI: Machine Learning in Healthcare - Johnson & Johnson Project

Students will have the opportunity to explore how Johnson & Johnson leverages data science tools to make ...
Blended Learning MIT
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AI: Convolutional Neural Networks for Computer Vision & Natural Language Processing - Google Project

In this PBL, you will learn specifically the machine learning algorithms and mathematical tools Google uses for ...
Blended Learning MIT
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DA: Pollution and Air Quality Analysis - GE Project

In this PBL, students will develop their own models for the air quality analysis of PM2.5 and others, applying a ...
Blended Learning MIT
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DA: Online Debate Models , Analyses, Metrics and Visualizations - Twitter Project

In this PBL, students will get the chance to learn about different methods of researching the behavior of an online ...
Blended Learning MIT
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DA: Beyond Bitcoin, Investigating Blockchain in Financial Systems - Coinbase Project

The goal of this PBL is to explore how a new financial system could look based on blockchain technology and examine ...
Blended Learning MIT
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DA: Algorithmic Trading - Bridgewater Project

In this PBL, students will dive deep into the world of algorithmic trading and develop their own trading strategies ...
Blended Learning MIT
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DA: Demand Forecasting and Supply Chain Analytics - IKEA project

In this PBL, students will get a comprehensive understanding of IKEA's supply chain strategy based on real-world ...
Blended Learning MIT
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DA: Applied Psychology With Human Data - Neuralink Project

In this PBL, students will study psychometric applications of human data with their existing Machine Learning ...
Blended Learning MIT
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DA: Recommendation Systems - Netflix Project

The algorithms behind Netflix's recommendation system are the focus of this PBL, allowing students to implement a ...
Blended Learning MIT
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QC: Co-designing Quantum Computing Architecture - IBM Project

In this PBL, students will devise and analyze quantum computing architecture like that being innovated at IBM, and ...
Blended Learning MIT
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