Professional Certificate in Advanced Analytics with AI, ML, and Data Science
Drive Decision-Making With Data, AI, and ML
Data is not only pervasive in today’s technologically savvy business environment—it’s essential for improved efficiency, accelerated productivity, and maximum profitability. However, the impact of data is most valued when it’s embedded into decision-making and leveraged for long-term growth. Professionals who are adept in data science—as well as in Artificial Intelligence (AI) and Machine Learning (ML)—are leaders who can harness their expertise to achieve optimum results for their organizations’ success.
If leveling up data science, ML, and AI skills is part of your career trajectory, the Professional Certificate in Advanced Analytics with AI, ML, and Data Science from MIT xPRO can provide the expertise you need to navigate the challenges of this in-demand field. During this program, you will explore the fundamentals of data science—along with a mix of foundational and advanced AI/ML concepts relevant for data professionals. You will expand your skill set and learn to apply cutting-edge tools, such as Python and Google Colab, to gain an understanding of how data science, ML, and AI can enhance decision making and translate technical results into actionable insights.
36%
63%
Faculty Insights
Get a firsthand look at how this program develops your ability to turn data into actionable insights.
Who Is This Program For?
Data professionals in engineering, finance, insurance, IT, or operations with coding experience who wish to develop a suite of advanced data analysis skills they can apply in their day-to-day work to make sound business decisions
Professionals working in data science-adjacent fields looking to build on their existing skill set to effectively lead or manage teams
Business professionals in sales, marketing, IT, or operations looking to sharpen their decision-making ability by learning to model, execute, and analyze business data and, in turn, use their data science expertise to advance their careers
Recent graduates with a STEM background who wish to build knowledge and skills in data science to prepare for a role as an analyst and start down a career path in the field
Prerequisites: Familiarity with Excel datasets, data visualization, and basic knowledge of Python coding are recommended.
Key Takeaways
Leverage data in order to optimize strategies and improve decision-making in your organization
Explore how to apply AI and ML techniques to help organize and analyze data to maximize performance in an organization
Learn to apply Python and Google Colab to train, organize, run, and analyze datasets and models that yield meaningful results
Analyze and translate technical results into actionable insights for executives
Develop a portfolio of modeling tools that showcases hands-on application of the skills required to use data for prediction, classification, and optimization in practical business contexts
About MIT xPRO
MIT xPRO’s online learning programs leverage MIT's leadership in innovation, science, engineering, and technical disciplines with vetted content from world-renowned experts to make learning accessible anytime, anywhere. Designed using pioneering research in the neuroscience of learning, MIT xPRO programs are application focused, helping professionals to develop the hard and soft skills that are most in demand.
MIT xPRO has blended cutting-edge content with the best of online technology and instructional design to enable better learning outcomes while promoting engagement and collaboration to help professionals build their skills on the job. To explore the full catalog of MIT xPRO courses and programs, visit xpro.mit.edu.
Program Highlights
Earn an MIT xPRO certificate and 36 continuing education units (CEUs)
Gain insights from MIT faculty — experts in the field who bring industry experience to the classroom
Learn from real-world case studies solved by faculty using applications of data science and applied analytics
Demonstrate your knowledge in a final capstone project by developing a portfolio of application-based assignments completed throughout the program
Program Topics
Survey the fundamentals of data science and understand its potential. Explore how data science can be used to learn more about your customers and master key analytical frameworks.
Module 1: Introduction to Data Science
Module 2: Thinking about Risk and Uncertainty through Probability and Distributions
Module 3: Correlation
Module 4: Clustering
Module 5: Linear Regression Part 1
Module 6: Linear Regression Part 2
Module 7: Logistic Regression
Examine the role of optimization and how it can be used for the good of humanity. Dive deeper into model design and learn how to build, interpret, and assess models.
Module 8: Collaborative Filtering
Module 9: Linear Optimization Models
Module 10: Linear Optimization Models, Case Study
Module 11: Integer, Nonlinear, and Discrete Optimization Models
Module 12: Sponsored, Internet Search Advertising, Case Study
Module 13: Large-Scale Optimization, UN World Food Programme
Take an in-depth look at regression and classification, ensemble learning, and bias in model-based, data-driven decision-making.
Module 14: Regression and Classification
Module 15: Ensemble Models
Module 16: Fairness and Bias Issues in Data-Driven Predictions
Explore advanced applications of data science including deep learning, neural networks, and natural language processing.
Module 17: Neural Networks Part 1
Module 18: Neural Networks Part 2
Module 19: Neural Networks Part 3
Module 20: Natural Language Processing (NLP) Part 1
Module 21: Natural Language Processing (NLP) Part 2
Module 22: Interpretability and Causality in Models
Discover real-world applications of AI/ML and new applications of digital transformation.
Module 23: Data, Models, and Decisions
Module 24: Leading Digital Transformations
Case Studies
Throughout the program, each faculty member will present case studies they have personally helped solve using the principles and tools of data science, including:
Retail Management
Analyze how a Boston MA retailer handled its response to the Covid-19 pandemic using the systems approach.
Filatoi Riuniti
Solve an optimization problem by developing a model and making recommendations on how this Italian yarn manufacturer should outsource production in order to maximize profits.
Facial Analysis Algorithms
Examine the ramifications of poorly designed models and discover how to detect, diagnose, and mitigate biases that can arise in model-based, data-driven decision making.
BlueBike
See how BlueBike used regression to predict demand. Then build your own models with regression and use R2 to pick the optimal model.
Final Capstone Project
Highlight your learnings in a final capstone project by building a portfolio of application-based assignments you have completed throughout the program. Your portfolio will demonstrate your proficiency in a range of data science skills required for model optimization and strategic decision thinking in organizational contexts.
Career Preparation and Guidance
Both hard and soft skills are needed to succeed as a data analytics professional. This program offers you guidance for navigating your career path, from crafting your elevator pitch to perfecting your interview skills. These services are provided by Emeritus, our learning collaborator for this program. The program support team includes program leaders who help you reach your learning goals. The primary goal is to give you the skills necessary to be prepared for a job in this field; however, job placement is not guaranteed.
Career guidance with this program includes:
Navigating your job search
Preparing for interviews
Negotiating salary
Crafting your elevator pitch
Optimizing your LinkedIn profile
Writing resumes and cover letters
Exercises specific to building your data science career include:
Building your personal brand and promoting your skills
Understanding the roles and workflow of data science
Job searching and interviewing for positions in data science
Communicating data science concepts through a capstone project
Reflecting on your skills to determine how to solve problems and become an efficient leader
Program Faculty
Patrick J. McGovern (1959) Professor, Professor of Operations Management, MIT Sloan School of Management
Vivek is affiliated with the Operations Management group and the Operations Research Center (ORC) at MIT Sloan School of Management. His research focuses on the development of...
Theresa Seley Professor in Management Science, Professor of Operations Research, MIT Sloan School of Management
Robert’s primary research interests are in convex optimization, computational complexity and related computational science, convex geometry, large-scale nonlinear optimization...
J. Spencer Standish (1945) Professor of Operations Management, Faculty Leader, MIT Leaders for Global Operations (LGO), MIT Sloan School of Management
Retsef’s research focuses on the design of analytical data-driven decision support models and tools addressing complex business and system design decisions under uncertainty i...
Professor of the Practice, MIT Sloan School of Management
Rama’s research and teaching interests focus on the application of data science and machine learning techniques to problems in industry and the creation of intelligent product...
Certificate
Get recognized! Upon successful completion of this program, you receive 36 Continuing Education Units (CEUs), a globally recognized measure of professional learning that reflects compliance with international quality standards, and a certificate of completion from MIT xPRO.
This program is graded as a pass or fail; participants must receive 75 percent to pass and obtain the certificate of completion.
FAQs
How do I know if this program is right for me?
After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.
Are there any prerequisites for this program?
Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.
Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.
What is the typical class profile?
More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.
What other dates will this program be offered in the future?
Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.
How much time is required each week?
Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.
How will my time be spent?
We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:
Engaging with recorded video lectures from faculty
Attending webinars and office hours, as per the specific program schedule
Reading or engaging with examples of core topics
Completing knowledge checks/quizzes and required activities
Engaging in moderated discussion groups with your peers
Completing your final project, if required
The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.
What is it like to learn online with the learning collaborator, Emeritus?
More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.
All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.
A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
How do I interact with other program participants?
Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.
What is the relationship between Emeritus and MIT xPRO?
Emeritus and MIT xPRO collaborate to create and deliver educational programs. None of these programs are Title IV-eligible.
What are the requirements to earn the certificate?
Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.
This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.
What type of certificate will I receive?
Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile.The digital certificate will be sent approximately two weeks after the program, once grading is complete.
Can I get the hard copy of the certificate?
No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.
Do I receive alumni status after completing this program?
No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.
How long will I have access to the learning materials?
You will have access to the learning platform and all program materials (videos excluded) for 24 months following the program end date. Access to the learning platform is restricted to registered participants per the terms of agreement.
What equipment or technical requirements are there for this program?
Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.
Do I need to be online to access the program content?
Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.
Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.
Can I still register if the registration deadline has passed?
Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.
What is the program fee, and what forms of payment do you accept?
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.
What if I don’t have a credit card? Is there another method of payment accepted?
Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.
I was not able to use the discount code provided. Can you help?
Yes! Please email us with the details of the program you are interested in, and we will assist you.
How can I obtain an invoice for payment?
Please email us your invoicing requirements and the specific program you’re interested in enrolling in.
Is there an option to make flexible payments for this program?
Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.
How can I obtain a W9 form?
Please connect with us via email for assistance.
Who will be collecting the payment for the program?
Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.
What is the program refund and deferral policy?
For the program refund and deferral policy, please click the link here.
Financing Options
Climb Credit*
We offer financing options with our partner, Climb Credit*. Click here to learn more. *Applicable for US Residents
Sallie Mae*
Fixed repayment, interest-only repayment, and deferred payment options are available. Click here to know more. *At the time of loan application, please select ‘Undergraduate students’ when prompted.
Flexible Payment Options For All
Flexible payment options allow you to pay the program fee in installments. Click here to see payment schedule.
You can opt for any one of the financing options to cover up to the full cost of the program tuition. If you are considering financing your program through one of our partners, the enrollment process can only be completed with the assistance of your program advisor.
Please note that loan applications should be submitted no later than four business days prior to the enrollment deadline due to processing time.
Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 640 4846 (US) / +44 141 673 6416 (UK) / +65 3138 2327 (SG)
Flexible payment options available.
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