The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Advance your analytics expertise with AI, ML, and data science.
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June 12, 2024
6 months, online
15–20 hours per week
Participants report that enrolling in a program with colleagues fosters collaborative learning and amplifies their impact.
Please provide your details to get more information about the group-enrollment pricing.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistPrerequisites: Familiarity with Excel datasets, data visualization, and basic knowledge of Python coding are recommended.
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 Data Science and Analytics 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.
projected growth in employment of data scientists from 2021 to 2031
of organizations expect to employ professionals with AI and ML skills in the next couple of years
Prerequisites: Familiarity with Excel datasets, data visualization, and basic knowledge of Python coding are recommended.
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
Receive one-on-one career support from Emeritus and introductions to hiring partners for eligible participants
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.
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.
Take an in-depth look at regression and classification, ensemble learning, and bias in model-based, data-driven decision-making.
Explore advanced applications of data science including deep learning, neural networks, and natural language processing.
Discover real-world applications of AI/ML and new applications of digital transformation.
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:
Exercises specific to building your data science career include:
Throughout the program, each faculty member will present case studies they have personally helped solve using the principles and tools of data science, including:
Analyze how a Boston MA retailer handled its response to the Covid-19 pandemic using the systems approach.
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.
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.
See how BlueBike used regression to predict demand. Then build your own models with regression and use R2 to pick the optimal model.
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.
Vivek Farias
Robert Freund
Retsef Levi
Rama Ramakrishnan
Vivek Farias
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 new methodologies for large-scale dynamic optimization under uncertainty, and the application of these methodologies to the design of practical revenue management strategies across various industries, from airlines and retail to online advertising. He serves on the editorial boards of Management Science as a co-editor of data science, Operations Research, and the Informs Journal on Optimization.
Vivek received his PhD in electrical engineering from Stanford University. During his time in industry, he served as co-founder/CTO at Celect, a predictive analytics start-up acquired by Nike. Vivek also serves on several technology start-up advisory boards and has experience in quantitative finance and private equity.
Robert Freund
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, and related mathematical systems.
Robert has served as co-editor of Mathematical Programming and as associate editor of several optimization and operations research journals. He received the Longuet-Higgins Prize in computer vision (2007) and numerous MIT teaching and education awards in conjunction with the MBA core course and textbook Data, Models, and Decisions: The Fundamentals of Management Science, co-authored with Dimitris Bertsimas.
Robert received his BA in Mathematics from Princeton University and MS and PhD in Operations Research from Stanford University.
Retsef Levi
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 in areas such as health and healthcare management, supply chain, procurement and inventory management, revenue management, pricing optimization, and logistics.
Retsef is the recipient of the NSF Faculty Early Career Development award, the 2008 INFORMS Optimization Prize for Young Researchers, the 2013 Daniel H. Wagner Prize, and the 2016 Harold W. Kuhn Award.
Retsef received a BA in mathematics from Tel-Aviv University (Israel) in 2001 and a PhD in operations research from Cornell University in 2005.
Rama Ramakrishnan
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 products and services created by the algorithmic use of data.
Rama has over two decades of experience as a data science entrepreneur and tech executive. He has founded or served as a senior executive in four software companies that have been acquired by technology giants such as Oracle, Salesforce, and Demandware. He remains an active member of the start-up space as an advisor, angel investor, and board member.
Rama holds a BTech degree from the Indian Institute of Technology, Chennai and MS and PhD degrees from MIT.
Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants and 36 Continuing Education Units (CEUs). This program is graded pass or fail; participants must receive 75% to pass and obtain the certificate of completion.
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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.
Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page and in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.
This is a graded program. You must complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points, and a cumulative score of 75 percent is required to pass and obtain your professional certificate.
The primary objective of this program is to give you the skills you need to be prepared for a job in this field. While eligible participants will receive career coaching and support and may receive introductions to our hiring partners, job placement is not guaranteed.
Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the “Duration” section and in the program brochure, which you can obtain by submitting the short form at the top of this web page.
You will divide your learning time between viewing recorded coding demos, and video lectures, contributing to class discussions, completing assignments, projects, and knowledge checks, and attending optional live sessions with industry experts and program leaders.
The program is accessed through the custom learning portal. This portal will give you access to all program-related content such as video lectures, assignments, and discussions. Live office hours will be conducted using a webinar tool.
The video lectures and assignments are accessible weekly throughout the program. In the event you miss a live session, a recording will be made available.
Faculty video lectures are recorded, allowing you to watch these on your own schedule. However, participation in optional live sessions and discussion boards is highly encouraged. Live sessions will give you the opportunity to draw on the coding experience of our industry-experienced program leaders to answer your questions and help reach your learning goals. The discussion boards are also an integral part of the learning experience, giving you and your peers the opportunity to learn together and receive guidance from the moderators.
You can download video transcripts, assignment templates, readings, etc. However, the video lectures are only available for streaming and require an internet connection.
You can communicate with other participants through our learning platform. You will be able to form groups based on your interests and location. A direct messaging feature is also available through the platform.
More than 300,000 participants 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 program would be made available to participants at the commencement of the program. However, to ensure the program delivers the desired learning outcomes the participants 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 fee of the program.
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.
Emeritus and MIT xPRO collaborate to create and deliver educational programs. None of these programs are Title IV-eligible.
Each program includes an estimated learner effort per week, so you can gauge what is required before you enroll. This is referenced at the top of the program landing page under the “Duration” section and 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 contact us at learner.success@emeritus.org if you need further clarification of any specific program requirements.
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, résumé, and/or display it on your LinkedIn profile.
The digital certificate will be sent approximately two weeks after the program, once grading is complete.
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.
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.
You will have access to the learning platform and all program materials (videos excluded) for one full year following the program end date. Access to the learning platform is restricted to registered participants per the terms of agreement.
To successfully complete this course/program(me) online, you must have access to a device meeting the minimum requirements, found here. In addition, Microsoft Office or similar product and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts in all programs. Technical programs might have additional tech requirements. Please check the learning platform on the first day of class.
Yes, the learning platform is accessed via the internet and video content is not available for download. You can download files of video transcripts, assignment templates, readings, etc. Video lectures must be streamed via the internet and webinars and small group sessions will require an internet connection.
The program fee is shown at the top of this page and payment must be made in US dollars only.
Flexible payment options, group enrollment benefits, and referral bonus are available.
Tuition assistance may be available for participants who qualify. Please contact your program advisor to discuss.
Yes, you can do the bank remittance in USD via wire transfer. Please contact your program advisor for more details.
Yes flexible payment options are available for this program. We partner with loan providers to offer you flexible and transparent loan options. More information about loan financing is available here. Installment payments are also available—; you can find the options here.
Yes, the program fee is inclusive of any taxes with the exception of GST for Singapore residents.
Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.
For the program refund and deferral policy, please click the here.
We offer financing options with our partner, Climb Credit*.
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*Applicable for US Residents
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 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.
Flexible payment options available.