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.
Demand for professionals skilled in data, analytics, and machine learning is exploding. The U.S. Bureau of Labor Statistics reports that demand for data science skills will drive a 27.9 percent rise in employment in the field through 2026. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. Not only is there a huge demand, but there is a significant shortage of qualified data scientists with 39% of the most rigorous data science positions requiring a degree higher than a bachelor’s.
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.
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
Courses in MIT MicroMasters Program in Statistics and Data Science
1.Probability – The Science of Uncertainty and Data
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference — Part of the MITx MicroMasters program in Statistics and Data Science.
2.Fundamentals of Statistics
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. — Part of the MITx MicroMasters program in Statistics and Data Science.
3.Machine Learning with Python: from Linear Models to Deep Learning
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. — Part of the MITx MicroMasters program in Statistics and Data Science.
4.Capstone Exam in Statistics and Data Science
Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment. — Final Requirement of the MITx MicroMasters Program in Statistics and Data Science.
5.Data Analysis in Social Science—Assessing Your Knowledge
Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge– Part of the MITx MicroMasters program in Statistics and Data Science.
6.Data Analysis: Statistical Modeling and Computation in Applications
A hands-on introduction to the interplay between statistics and computation for the analysis of real data. — Part of the MITx MicroMasters program in Statistics and Data Science.
Certificate & Credit pathway for MIT MicroMasters Program in
Statistics and Data Science
MicroMasters programs are designed to offer learners a pathway to an advanced degree and can count as credit toward completing a Master’s degree program. Learners who successfully earn this MicroMasters program certificate may apply for admission to several Master’s programs, and if accepted, the MicroMasters program certificate will count towards the degree.
Learners who successfully complete this MITx MicroMasters program certificate have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS). Learners can use their MicroMasters program certificate to demonstrate their preparation in Statistics and Data Science fundamentals to the SES Admissions Committee. Learners admitted to SES can expect that their MITx MicroMasters coursework will be recognized with credit for corresponding SES core classes, and for satisfying the SES Information, Systems, and Decision Science requirements. More information on the MIT SES Doctoral Program can be found here.
In addition, learners who successfully earn the MITx MicroMasters program certificate in Statistics and Data Science are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree.
Job outlook:- 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.
Duration:- 1 year 2 months 10 – 14 hours per week