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Statistics and Data Science MicroMasters® Program

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Master the skills needed to solve complex data challenges

Demand for professionals skilled in data, analytics, and machine learning is exploding. A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. 39% of the most rigorous data science positions require a degree higher than a bachelor’s.

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization. The program certificate can be applied, for admitted students, towards a PhD in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.

Anyone can enroll in this MicroMasters program. It is designed for learners that want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel. All the courses are taught by MIT faculty at a similar pace and level of rigor as an on-campus course at MIT. This program brings MIT’s rigorous, high-quality curricula and hands-on learning approach to learners around the world – at scale.

For more detail on this program and credit pathways, please visit

Job Outlook

  • 20 credits (ECTS) of the 90 total graduate credits towards the completion of the
  • program
  • 20 credits (ECTS) of the 120 total graduate credits towards the completion of the
  • program
  • 20 credits (ECTS) of the 180 total graduate credits towards the completion of the
  • program
  • 6 credits towards the completion of the Master’s program in
  • 9 credits towards the completion of these three Master’s programs in
  • ,
  • , and
  • 14 credits towards the completion of the Master’s program in
  • MSDS 400-DL Math for Data Scientists
  • MSDS 401-DL Applied Statistics with R
  • MSDS 422-DL Practical Machine Learning
  • A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US
  • Out of those jobs, the toughest to fill are the Data Scientist/Advanced Analytics positions
  • 39% of these positions require a degree higher than a bachelor’s
  • By completing this MicroMasters program you will be able to solve complex challenges with data and drive decision-making processes for organizations

What You'll Learn

  • Master the foundations of data science, statistics, and machine learning
  • Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making
  • Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks
  • Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer

Read More

From MITx via edX
Hours 372
Instructors John Tsitsiklis, Patrick Jaillet, Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, Dimitri Bertsekas, Eren Can Kizildag, Karene Chu, Esther Duflo, Sara Fisher Ellison, Philippe Rigollet, Jan-Christian Hütter, Regina Barzilay, Tommi Jaakkola
Language English
Subjects Programming Data Science Mathematics Business Social Sciences Science

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

AD, Data Science $47k

Associate Data Science Supervisor $55k

Science writer / data analyst $63k

Genomic Data Science Programmer $75k

Volunteer Director of Data Science $78k

Expert Data Science Supervisor $79k

Supervisor 1 Data Science Supervisor $91k

Guest Director of Data Science $101k

Data Science Architect $105k

Head of Data Science $131k

Assistant Director 1 of Data Science $133k

Owner Director of Data Science $149k

Courses in this MicroMasters

Listed in the order in which they should be taken

Starts Course Information

Sep
1

Probability - The Science of Uncertainty and Data

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field...

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Aug
17

Data Analysis in Social Science—Assessing Your Knowledge

*Enrollment for this course will open on July 20, 2020 * To learn more about this MicroMasters program, please visithttps://micromasters.mit.edu/ds/. This course consists of an...

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May
10

Fundamentals of Statistics

Statistics is the science of turning data into insights and ultimately decisions. Behind recent advances in machine learning, data science and artificial intelligence are...

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Sep
8

Machine Learning with Python: from Linear Models to Deep Learning (You were viewing this course)

Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender...

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Jan
23

Capstone Exam for Statistics and Data Science

This capstone exam is the final part of the MITx MicroMasters Program in Statistics and Data Science. Complete the four courses in this program and take this virtually-proctored...

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edX

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MITx

From MITx via edX
Hours 372
Instructors John Tsitsiklis, Patrick Jaillet, Qing He, Jimmy Li, Jagdish Ramakrishnan, Katie Szeto, Kuang Xu, Dimitri Bertsekas, Eren Can Kizildag, Karene Chu, Esther Duflo, Sara Fisher Ellison, Philippe Rigollet, Jan-Christian Hütter, Regina Barzilay, Tommi Jaakkola
Language English
Subjects Programming Data Science Mathematics Business Social Sciences Science

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

AD, Data Science $47k

Associate Data Science Supervisor $55k

Science writer / data analyst $63k

Genomic Data Science Programmer $75k

Volunteer Director of Data Science $78k

Expert Data Science Supervisor $79k

Supervisor 1 Data Science Supervisor $91k

Guest Director of Data Science $101k

Data Science Architect $105k

Head of Data Science $131k

Assistant Director 1 of Data Science $133k

Owner Director of Data Science $149k

Similar Courses

Sorted by relevance