Events & Promotions
|
|
GMAT Club Daily Prep
Thank you for using the timer - this advanced tool can estimate your performance and suggest more practice questions. We have subscribed you to Daily Prep Questions via email.
Customized
for You
Track
Your Progress
Practice
Pays
Not interested in getting valuable practice questions and articles delivered to your email? No problem, unsubscribe here.
Nov 2007:30 AM PST
-08:30 AM PST
Learn what truly sets the UC Riverside MBA apart and how it helps in your professional growth
Nov 2010:00 AM EST
-10:30 AM EST
If you’re applying to Columbia, NYU Stern, or Yale SOM, you need more than strong stats. Each school defines “leadership” differently, and your essays must reflect that. Join Sia Admissions founder, Susan Berishaj on November 20th
Nov 2009:00 PM IST
-10:00 PM IST
Join our free expert-led Essay Workshops to discover how to choose impactful stories, highlight your core values, and align your background with each school’s distinct culture, making every word truly count.
Nov 2108:30 AM EST
-09:15 AM EST
Get the inside scoop on what makes Emory’s Goizueta Business School great, learn how you can present a strong MBA application, and connect with an Admissions Director to get your questions answered.
Nov 2112:00 PM EST
-12:30 PM EST
Join Assistant Dean for Admissions Laurel Grodman for a live walkthrough of the 2025–2026 MBA application. Laurel will provide insights into what the Admissions Committee looks for and offer tips on key components of the application.
Nov 2109:30 PM IST
-10:30 PM IST
Learn how to craft powerful, authentic essays by mastering the 3 “WHYs” every top MBA program looks for: Why MBA, Why Now, and Why This School.
Nov 2408:00 PM PST
-09:00 PM PST
Inquire for a free profile evaluation and guarantee statement for possible admits and scholarships!
Updated on: 26 Jan 2024, 16:38
Originally posted by bananalytics on 25 Jan 2024, 11:42.
Last edited by bananalytics on 26 Jan 2024, 16:38, edited 1 time in total.
Last edited by bananalytics on 26 Jan 2024, 16:38, edited 1 time in total.
Kudos
Bookmarks
I have 10 years of experience in analytics and want to get a graduate degree that:
1) full-time and <= 1year or part-time in the Bay Area or with a virtual component
2) combines technical data science skills with leadership and management
3) career outcomes in tech and a combination of data science and product management
I studied economics during undergrad and have led small teams since. I want to deep both technical and leadership experience. Programs I've considered:
- UC Berkeley MIDS
- UC Berkeley MBA (part-time with technical electives and/or data science certificate)
- NYU MSQM
- NYU MSBA
- Kellogg MBAi
Can anyone give feedback about these options and suggest others that fit my needs?
1) full-time and <= 1year or part-time in the Bay Area or with a virtual component
2) combines technical data science skills with leadership and management
3) career outcomes in tech and a combination of data science and product management
I studied economics during undergrad and have led small teams since. I want to deep both technical and leadership experience. Programs I've considered:
- UC Berkeley MIDS
- UC Berkeley MBA (part-time with technical electives and/or data science certificate)
- NYU MSQM
- NYU MSBA
- Kellogg MBAi
Can anyone give feedback about these options and suggest others that fit my needs?
25 Jan 2024, 19:40
Kudos
Bookmarks
I appreciate you sharing your graduate program considerations with the community. Your focus on combining technical data science skills with leadership and management resonates with many professionals seeking to advance in the data-driven landscape. Based on your experience and career aspirations, here's my perspective on the programs you mentioned:
UC Berkeley MIDS: Offers a strong technical curriculum and flexibility through electives, allowing you to tailor the program to your specific needs. However, the primarily online format may limit opportunities for in-person leadership development.
UC Berkeley EWMBA: Renowned for its leadership training and Bay Area location, this program could significantly enhance your managerial skills. Nevertheless, the data science component may be less intensive compared to other options.
NYU MSQM: Provides a deep dive into quantitative skills, making you a strong contender for data-driven product management roles. However, leadership development opportunities may be less integrated into the core curriculum.
NYU MSBA: Strikes a balance between technical and business skills, preparing you for a range of data-related roles. While the program offers exposure to leadership concepts, dedicated leadership development might require additional effort.
Kellogg MBAi: This prestigious program boasts a robust leadership development framework and a powerful alumni network. However, the technical data science component may not be as comprehensive as other options, and the program comes at a significant financial investment.
Additional Options to Consider:
UC Berkeley MS in Data Science: Offers a one-year, full-time option with a strong technical focus and the flexibility to pursue leadership electives at Haas School of Business.
Stanford MS in Data Science: Similar to UC Berkeley's program, but may require more intensive coursework and balancing leadership development could be challenging.
MIT Sloan Executive MS in Digital Management: Designed for experienced professionals, this program blends technology and leadership development in a part-time format.
I hope this feedback proves helpful in your decision-making process. Feel free to ask any further questions you may have.
I am on LinkedIn - https://www.linkedin.com/in/studyabroadmentor
Posted from my mobile device
UC Berkeley MIDS: Offers a strong technical curriculum and flexibility through electives, allowing you to tailor the program to your specific needs. However, the primarily online format may limit opportunities for in-person leadership development.
UC Berkeley EWMBA: Renowned for its leadership training and Bay Area location, this program could significantly enhance your managerial skills. Nevertheless, the data science component may be less intensive compared to other options.
NYU MSQM: Provides a deep dive into quantitative skills, making you a strong contender for data-driven product management roles. However, leadership development opportunities may be less integrated into the core curriculum.
NYU MSBA: Strikes a balance between technical and business skills, preparing you for a range of data-related roles. While the program offers exposure to leadership concepts, dedicated leadership development might require additional effort.
Kellogg MBAi: This prestigious program boasts a robust leadership development framework and a powerful alumni network. However, the technical data science component may not be as comprehensive as other options, and the program comes at a significant financial investment.
Additional Options to Consider:
UC Berkeley MS in Data Science: Offers a one-year, full-time option with a strong technical focus and the flexibility to pursue leadership electives at Haas School of Business.
Stanford MS in Data Science: Similar to UC Berkeley's program, but may require more intensive coursework and balancing leadership development could be challenging.
MIT Sloan Executive MS in Digital Management: Designed for experienced professionals, this program blends technology and leadership development in a part-time format.
I hope this feedback proves helpful in your decision-making process. Feel free to ask any further questions you may have.
I am on LinkedIn - https://www.linkedin.com/in/studyabroadmentor
Posted from my mobile device
