Program Overview

Program Overview

The Professional Certificate in Advanced Analytics with AI, ML, and Data Science from MIT xPRO equips students with the expertise needed for this in-demand field. Students will explore data science fundamentals and advanced AI/ML concepts relevant to data professionals.

Program Details

• Duration: 24 weeks
• Time Commitment: 15-20 hours/week
• Format: Online
• CEUs: 36
• Price: $7,550

Who Should Enroll

The program is ideal for:

• Data professionals in engineering, finance, insurance, IT, or operations with coding experience who are looking to develop an advanced data analysis skill set that can be applied at work to make informative business decisions
• Business professionals in sales, marketing, IT, or operations aiming to sharpen their decision-making skills by learning to model and execute data and analyze inferences to advance their career
• Recent graduates with a STEM background who wish to build practical experience in data science in anticipation of a career in data analytics

Prerequisites

• Recommended to be familiar with Excel data sets and data visualization
• Basic knowledge of Python

How You Will Learn

• LEARN BY DOING: Practice processes and methods through simulations, assessments, case studies, and tools.
• LEARN FROM OTHERS: Connect with an international community of professionals while working on projects based on real-world examples.
• LEARN ON DEMAND: Access all of the content online and watch videos on the go.
• REFLECT AND APPLY: Bring your new skills to your organization, through examples from technical work environments and ample prompts for reflection.
• DEMONSTRATE YOUR SUCCESS: Earn a Professional Certificate and CEUs from MIT xPRO.
• LEARN FROM THE BEST: Gain insights from leading MIT faculty and industry experts.

MIT Faculty

• Vivek Farias, Professor of Operations Management, MIT Sloan School of Management
• Robert Freund, Professor of Operations Research, MIT Sloan School of Management
• Retsef Levi, Professor of Operations Management, MIT Sloan School of Management
• Rama Ramakrishnan, Professor of the Practice, MIT Sloan School of Management

Curriculum

• Part 1: Fundamentals of Data Science: Gain a foundational understanding of data science and its capabilities. Discover how data science can provide insights into your customer base and master essential analytical frameworks.
• Part 2: Foundations of Optimization: Explore the significance of optimization in promoting the welfare of humanity. Delve into the intricacies of model design and acquire the skills necessary to construct, interpret, and evaluate models.
• Part 3: Foundations of Machine Learning: Take an in-depth look at regression and classification, ensemble learning, and bias in model-based, data-driven decision-making.
• Part 4: Advanced Machine Learning: Explore advanced applications of data science, including deep learning, neural networks, and natural language processing.
• Part 5: Deployment: Discover real-world applications of AI and ML and new applications of digital transformation.

What You Will Learn

• Leverage data to optimize or improve decision making within an organization
• Train, organize, run, and analyze datasets and models that yield meaningful results using Python and Google Colab
• Analyze and decipher technical results into actionable business insights for executives

Career Opportunities

Organizations are increasingly relying on data scientists and analysts to provide insights from big data for business success. Skilled data professionals are in high demand for their ability to uncover opportunities for growth and profit. In fact, data science is ranked as the third-best profession in the United States with 13,500 annual job openings projected through 2031. The Professional Certificate in Advanced Analytics with AI, ML, and Data Science program from MIT xPRO will help students develop the skills needed for data-driven decision making and career advancement in this thriving field.