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 career with cutting-edge tools and techniques
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April 26, 2023
6 months, online
15–20 hours per week
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
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 SpecialistBased on the information you provided, your team is eligible for a special discount, for Professional Certificate in Data Science and Analytics starting on April 26, 2023 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.Prerequisites: Familiarity with Excel datasets, data visualization, and basic knowledge of Python coding are recommended.
With the advent of big data, executives are turning to data scientists and analysts for actionable insights that help chart a path to success. Data professionals have become information champions, leveraging their expertise to unearth hidden opportunities for higher profit and long-term growth.
Therefore, it’s easy to understand why data science holds the number three spot among best professions in the U.S. and why the U.S. Bureau of Labor Statistics projects an average of 13,500 job openings in the field every year through 2031.
If you are ready to level up your data science skills for modern-day decision-making, the Professional Certificate in Data Science and Analytics from MIT xPRO will give you the expertise you need to navigate a future shaped by data and help you advance in an in-demand field.
increase in the number of job openings for analysts between 2021 and 2031
Median base salary for data scientists in the U.S.
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 their 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.
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 bachelor's degree 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, 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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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 online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.
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.
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.
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.
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
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.
Yes! Please email us with the details of the program you are interested in, and we will assist you.
Please email us your invoicing requirements and the specific program you’re interested in enrolling in.
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.
Please connect with us via email for assistance.
We offer financing options with our partner, Climb Credit*.
Click here to learn more.
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Fixed repayment, interest-only repayment, and deferred payment options are available. Click here to know more.
Sallie Mae* - At the time of loan application, please select 'Student and Career Training School' when prompted.
Flexible payment options allow you to pay the program fee in installments. Click here to see payment schedule.
Flexible payment options available.
