MOOC platform Coursera recently announced the launch of two more MOOC-based degrees in partnership with the University of Colorado Boulder: a Master of Science in Electrical Engineering (MS-EE) and a Master of Science in Data Science (MS-DS)*. This latest announcement was made during Coursera's 2019 Partners Conference in London on 2nd April 2019 and brings the total number of degrees offered on Coursera to 14, five of which were announced over the past year. In addition to the two degrees with the University of Colorado Boulder, Coursera announced a Master of Science in Machine Learning from Imperial College London in March 2019, a Global MBA from Macquarie University in August 2018, and a Master of Computer and Information Technology from the University of Pennsylvania in July 2018.
*The Master of Science in Data Science degree is subject to final approval by the University of Colorado
About the Degrees
Master of Science in Electrical Engineering (MS-EE)
The program covers subjects such as embedded systems, power electronics, and photonics. The curriculum is influenced by CU Boulder’s close relationships with industry leaders and taught by world-class faculty in the electrical engineering field.
The full Master of Science in Electrical Engineering curriculum will launch over the next 1-2 years. You can start working to complete courses within non-credit Specializations now, and convert them to credit later as the degree comes fully online. (To convert a Specialization for credit, you will need to complete additional hands-on coursework and pay tuition.)
Admission
This program has no application to begin. Instead, it offers an innovative performance-based admissions process. Prospective students interested in this degree can begin their path by completing a series of courses in a “Pathway Specialization” for credit. If you pass with a “B” average or better across the Specialization, you can submit an “Intent to Enroll” form for immediate admission to the program.
Find more information about the degree program here.
Master of Science in Data Science (MS-DS)
This degree will draw on CU Boulder faculty expertise in statistics, data science, computer science, geospatial analytics, and natural language processing. Initial courses will cover theory and methods of data science, including data structures, programming fundamentals, and statistics. Learn both R and Python programming, the most commonly used languages in data science. Training will emphasize theory and methods as well as the tools of the modern workplace, including Amazon Web Services, the Hadoop file system, and tools like SQL and Apache Spark. Become proficient in Predictive Modeling, Risk Analysis, Data Visualization, Machine Learning, and AI.
Admission
Performance-based admissions means there are no prerequisites or an application. Take a series of area-specific exams, earn a B average or better, and you will be admitted into the degree. Learn and earn credit without needing to wait 6 months while your application is being completed and reviewed.
Who is this degree for?
Anyone who is interested in the field of data science, no matter your academic background.
Find more information about the degree program here.
Discover more MOOC-Based University Degree Programs here
*The Master of Science in Data Science degree is subject to final approval by the University of Colorado
About the Degrees
Master of Science in Electrical Engineering (MS-EE)
The Curriculum
The program covers subjects such as embedded systems, power electronics, and photonics. The curriculum is influenced by CU Boulder’s close relationships with industry leaders and taught by world-class faculty in the electrical engineering field.
The full Master of Science in Electrical Engineering curriculum will launch over the next 1-2 years. You can start working to complete courses within non-credit Specializations now, and convert them to credit later as the degree comes fully online. (To convert a Specialization for credit, you will need to complete additional hands-on coursework and pay tuition.)
Admission
This program has no application to begin. Instead, it offers an innovative performance-based admissions process. Prospective students interested in this degree can begin their path by completing a series of courses in a “Pathway Specialization” for credit. If you pass with a “B” average or better across the Specialization, you can submit an “Intent to Enroll” form for immediate admission to the program.
Find more information about the degree program here.
Master of Science in Data Science (MS-DS)
The Curriculum
This degree will draw on CU Boulder faculty expertise in statistics, data science, computer science, geospatial analytics, and natural language processing. Initial courses will cover theory and methods of data science, including data structures, programming fundamentals, and statistics. Learn both R and Python programming, the most commonly used languages in data science. Training will emphasize theory and methods as well as the tools of the modern workplace, including Amazon Web Services, the Hadoop file system, and tools like SQL and Apache Spark. Become proficient in Predictive Modeling, Risk Analysis, Data Visualization, Machine Learning, and AI.
Admission
Performance-based admissions means there are no prerequisites or an application. Take a series of area-specific exams, earn a B average or better, and you will be admitted into the degree. Learn and earn credit without needing to wait 6 months while your application is being completed and reviewed.
Who is this degree for?
Anyone who is interested in the field of data science, no matter your academic background.
Find more information about the degree program here.
Discover more MOOC-Based University Degree Programs here
