I'm going to give you my perspective as a current data scientist who was a senior data analyst before that and graduated from Eastern's Masters in data science program.
When it comes to these Analytics type programs, you really can't compare programs with the same name across different universities. In the case of Eastern I can say pretty confidently that if you want to become a data scientist you should go the Ms and data science route.
This data analytics degree would be great for someone who wants to stay in the data analyst / senior data analyst/analytics manager roll. There doesn't appear to be much of any machine learning and the statistics requirement is significantly less. Several of my data analyst colleagues for my previous job would be well suited for this degree.
However, we really can't take this same concept and apply it to other analytics programs. For example, in my opinion Georgia Tech's Masters in analytics is probably the most comprehensive program for data scientists I've ever seen. It covers both statistics and computer science in more than enough depth for all but the PhD level data scientists while also covering core Business concepts and how to apply these analytical skills in a manner that will provide value for your company.
Northwestern's Masters in data science actually used to be called a masters in predictive Analytics, so this is another indication of how interchangeable these titles are. Also, most masters degree programs in business analytics typically don't have enough statistics courses to prepare someone for data scientist position.
The real question is what do you want to do.
When it comes to these Analytics type programs, you really can't compare programs with the same name across different universities. In the case of Eastern I can say pretty confidently that if you want to become a data scientist you should go the Ms and data science route.
This data analytics degree would be great for someone who wants to stay in the data analyst / senior data analyst/analytics manager roll. There doesn't appear to be much of any machine learning and the statistics requirement is significantly less. Several of my data analyst colleagues for my previous job would be well suited for this degree.
However, we really can't take this same concept and apply it to other analytics programs. For example, in my opinion Georgia Tech's Masters in analytics is probably the most comprehensive program for data scientists I've ever seen. It covers both statistics and computer science in more than enough depth for all but the PhD level data scientists while also covering core Business concepts and how to apply these analytical skills in a manner that will provide value for your company.
Northwestern's Masters in data science actually used to be called a masters in predictive Analytics, so this is another indication of how interchangeable these titles are. Also, most masters degree programs in business analytics typically don't have enough statistics courses to prepare someone for data scientist position.
The real question is what do you want to do.
MS, Data Science, Eastern University
ALM, Information Technology, Harvard University
AB, Government, Georgetown University
In Progress: MS, Computer Science, Georgia Institute of Technology (Projected Completion 2027)
ALM, Information Technology, Harvard University
AB, Government, Georgetown University
In Progress: MS, Computer Science, Georgia Institute of Technology (Projected Completion 2027)
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