Å·ÃÀ¿Ú±¬ÊÓƵ

You're invited to attend a virtual meet and greet on November 18thÌýfeaturing Dr. Sriram Sankaranarayanan, Associate Professor of Computer Science. This session will allow for small group conversation with Sriram where you can further your data science knowledge, learn about data science opportunities, and share your thoughts on the Data Structures and Algorithms courses (DTSA 5501, 5502, and 5503)!

When: Monday, November 18th, 5:00 - 6:00 pm MTÌý
Where:
Who: Students who are enrolled in or have completed DTSA 5501, 5502, and/or 5503Ìý

We look forward to seeing you there!

Questions? Email us at msds-support@colorado.edu.Ìý

It’s time to get excited about this year’s Hackathon event!

We are partnering with several industry-leading companies to create an unforgettable experience, offering fantastic networking opportunities and the chance to apply your data science skills to real-world challenges.

• We’re especially delighted to announce our first company: Denver International Airport (DEN)!
• DEN will be providing hackathon participants with a formidable problem statement, offering you a chance to tackle a relevant challenge at the unification of data science and aviation.

Do not miss this opportunity to network with industry leaders, show off your skills, and encounter meaningful challenges that will prepare you for an industry career.

SaveÌýthe Date:

• Date: November 9th, 7 PM - November 10th, 12 PM
• Location: ECCS201

Stay tuned for further details, and do not forget to register if you have not already ()!

Feel free to reach out to DaSSA (dassa@colorado.edu) with any questions in the meantime. Let’s gear up for an unforgettable Hackathon!

When: Tuesday, Sept. 24 @ 6:30 - 7:30 p.m. MT
Where: Zoom Please RSVP here & Sign up for the Zoom link.
Who: MSDS On-Campus and Coursera Students

Join us forÌýthe online alumni panelÌýwhere you’ll meet and connect with recent graduates who are making waves in the data and tech world.

Why You Shouldn’t Miss This:

• Real-World Advice:ÌýHear how these graduates transitioned from their college experience to roles in data science.
• Insider Knowledge:ÌýLearn what it’s like to work at top companies likeÌýAmazon,ÌýIntuit, andÌýCivitasÌýResources—and what they’re looking for in new talent.
• Networking Opportunities:ÌýConnect with alumni who have the experience and insights to help you navigate your own career path.
• Actionable Tips:ÌýGet valuable advice on breaking into the industry, landing internships, and building your resume.

This is your chance to connect with alumni who were in your shoes not too long ago and are now making an impact in the world of Data Science. Don’t miss out—RSVP today!

When: Wednesday, Sept. 25 @ 6:30 - 7:30 p.m. MT
Where: Hale Sciences 270 (Please RSVP here)
Who: MSDS On-Campus and Coursera Students

Join us forÌýthe in-person alumni panelÌýwhere you’ll meet and connect with recent graduates who are making waves in the data and tech world.

Why You Shouldn’t Miss This:

• Real-World Advice:ÌýHear how these graduates transitioned from their college experience to roles in data science.
• Insider Knowledge:ÌýLearn what it’s like to work at top companies likeÌýAmazon,ÌýIntuit, andÌýCivitasÌýResources—and what they’re looking for in new talent.
• Networking Opportunities:ÌýConnect with alumni who have the experience and insights to help you navigate your own career path.
• Actionable Tips:ÌýGet valuable advice on breaking into the industry, landing internships, and building your resume.

This is your chance to connect with alumni who were in your shoes not too long ago and are now making an impact in the world of Data Science. Don’t miss out—RSVP today!

Note: Food provided

When: Thursday, Sept. 26 @ 4:30 - 6:30 p.m. MT
Where: Farrand Field
Who: MSDS On-Campus and Coursera Students
RSVP

Join us for a fun-filled Field Day with exciting lawn games, activities, and delicious food! Bring your energy and competitive spirit for a day of laughter and team fun. Don't miss out on a great time with friends—see you there!

When: Friday, Sept. 27Ìý@ 2:00 - 5:00 p.m. MT
Where: Kitt Central (Please RSVP here)
Who: MSDSÌýCoursera Students

Join us for the University of Å·ÃÀ¿Ú±¬ÊÓƵ Boulder's MS-DS, MS-EE, MS-CS, and ME-EM on Coursera in-person student open house. This is an excellent opportunity to connect with faculty, staff, course facilitators, and classmates on campus.

Registration ends on Friday,ÌýSeptember 13th at 11:59pm MT.

Registration is limited.ÌýPlease only RSVP if you are able to attend in-person.

When: Thursday, Sept. 12 @ 10:00 - 11:00 a.m. MT
Where:ÌýZoom
Who: Admitted students in Å·ÃÀ¿Ú±¬ÊÓƵ on Coursera degree programs

Did you know that as an admitted MS-DS studentÌýat Å·ÃÀ¿Ú±¬ÊÓƵ Boulder, you have access to powerful career development tools?ÌýQuinncia, anÌýAI Resume Editor and Mock Interview Tool fromÌýÌýis one of those tools! Qunnicia can help you build a strong resume and help you develop your interviewing skills.

Please join the upcoming webinar featuringÌýJake Jedamus-Denu,ÌýCareer Technology Program Manager withÌýCareer Services, Å·ÃÀ¿Ú±¬ÊÓƵ Boulder to learn more.

If you cannot make the webinar and would like a link to the recording, please complete theÌýÌýand we will email you the link when it is ready.

When: Tuesday, FebruaryÌý27, 2024Ìý| 6:00 PMÌý- 7:30 PM

Location: ECCR 1B40 (Engineering Center)

Many statistics and data science questions are causal in nature. For example,ÌýDoes low minimum wage cause poverty?ÌýDid the marketing strategy yield higher sales?ÌýWhat is the effect of race on police use of force?ÌýThese questions seem to require more than justÌýpredictingÌýan output variable from a set of input variables. Causal questions require anÌýexplanation.ÌýWhyÌýdid a change in the minimum wage lead to a change in poverty? Do salesÌýrespondÌýto the marketing strategy? If an individual’s race were different, would their interaction with the police have been different?

The tools used to answer causal questions require non-trivial assumptions about the underlying processes that generate the data. When data come from the social world, the assumptions are often politically and ethically charged. In this talk, we will explore issues in causal modeling. In particular, we will differentiate causal modeling from predictive modeling, explore some key assumptions and techniques to estimate causal effects, and analyze the social and ethical implications of causal modeling.

Event Flyer: Causal Modeling Data Science Talk with Dr. Brian Zaharatos

Note: Food provided, Join in-person or via Zoom

Are you interested in pursuing a data science degree but are worried you do not have the prerequisite skills? Then, this webinar is for you! The Å·ÃÀ¿Ú±¬ÊÓƵ Boulder MS in Data Science on Coursera program is a highly interdisciplinary program open to students from a variety of backgrounds – in fact, we have current students from over 50 different industries/academic backgrounds! While we do require you to be knowledgeable on topics, such as Python, R Programming, Calculus, and Linear Algebra, we offer non-credit courses so you can brush up on these skills. Join Å·ÃÀ¿Ú±¬ÊÓƵ Boulder program staff and current students to learn about how to prepare for (and excel in) a data science graduate program without a STEM background.Ìý

Audience: Prospective students, especially for those without a STEM background

Presenters:Ìý

Kaitlyn Rye (Graduate Advisor MSDS on Coursera)

Mika Puseman (Course Coordinator MSDS on Coursera)

Jane Wall (Faculty Director of Data Science MSDS on Coursera)

Di Wu (Instructor for Python Fundamentals Course for MSDS on Coursera)

Current MSDS on Coursera students

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When: Tuesday, October 10, 2023 | 10:00 AMÌý- 11:00 AM

Join Å·ÃÀ¿Ú±¬ÊÓƵ Boulder program staff to learn about the MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Save your spot today and come prepared with questions.

Audience: Prospective studentsÌý

Presenters:

Kaitlyn Rye (Program Manager MSDS on Coursera)

Emerson Earthman (Course Coordinator MSDS on Coursera)

Emily Musumecci (Graduate Advisor MSDS on Coursera)

When: Wednesday, January 10, 2023 | 9:00 AMÌý- 10:00 AM

Join Å·ÃÀ¿Ú±¬ÊÓƵ Boulder program staff to learn about the MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Save your spot today and come prepared with questions.

Audience: Prospective studentsÌý

Presenters:

Kaitlyn Rye (Program Manager MSDS on Coursera)

Emerson Earthman (Course Coordinator MSDS on Coursera)

Emily Musumecci (Graduate Advisor MSDS on Coursera)