Data is growing at a rapid pace and changing times would require us to be data ready, which includes learning from the best and who better than MIT who is a pioneer in this field.
Join us for an exclusive 'Ask Me Anything' session with Karen Morrissey (Assistant Director, Short Programs at MIT Professional Education) and Milind Kopikare (President of Great Learning, North America) as they share about what it takes to be a part of the coveted program.
Agenda for the session
- Insights on how to advance or transition your career in Data Science
- How the MIT ADSP Program can help you achieve your career goals in 2021
- Details of Mentored learning and curriculum structure
About Speakers
Ms. Karen Morrissey
Assistant Director of Short Programs with MIT Professional Education
Karen Morrissey is the Assistant Director of Short Programs with MIT Professional Education. Her current interests include being at the helm of combining education expertise with industry needs. She also harbors skills such as being excellent at cross collaborations and building strong interpersonal relationships. In the past, she has been associated with organizations such as Harvard Business School Executive Education, Ventlab Corporation, and Golden Grace Diamond Co. She has a Masters in Hospitality and Tourism Management from the University of Massachusetts, Amherst.
Mr. Milind Kopikare
President of Great Learning at North America
Milind Kopikare is the President of Great Learning at North America. prior to that, he was the VP and Head of Product for the Experience Management product at Qualtrics. Here he took a product from zero to a $300 Mn ARR and created a whole new product category. Milind has also consulted Fortune 500 executives during his time at McKinsey and was part of the Android team at Google. He has an MBA from Kellogg, a MS from Stanford, and a B.Tech from IIT Bombay.
MIT Professional Education's Applied Data Science Program
The Applied Data Science Program curriculum has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of data science efforts at any organization.
