We are so excited that you are interested in learning more about the Master of Science in Data Science (MS-DS) on Coursera program. Please see information below for previous and upcoming events.

Upcoming Events:

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

Join us for听the online alumni panel听where you鈥檒l meet and connect with recent graduates who are making waves in the data and tech world.

Why You Shouldn鈥檛 Miss This:

  • Real-World Advice:听Hear how these graduates transitioned from their college experience to roles in data science.
  • Insider Knowledge:听Learn what it鈥檚 like to work at top companies like听Amazon,听Intuit, and听Civitas听Resources鈥攁nd what they鈥檙e looking for in new talent.
  • Networking Opportunities:听Connect with alumni who have the experience and insights to help you navigate your own career path.
  • Actionable Tips:听Get 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鈥檛 miss out鈥� today!

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

Join us for听the in-person alumni panel听where you鈥檒l meet and connect with recent graduates who are making waves in the data and tech world.

Why You Shouldn鈥檛 Miss This:

  • Real-World Advice:听Hear how these graduates transitioned from their college experience to roles in data science.
  • Insider Knowledge:听Learn what it鈥檚 like to work at top companies like听Amazon,听Intuit, and听Civitas听Resources鈥攁nd what they鈥檙e looking for in new talent.
  • Networking Opportunities:听Connect with alumni who have the experience and insights to help you navigate your own career path.
  • Actionable Tips:听Get 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鈥檛 miss out鈥� 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

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鈥攕ee you there!

When: Friday, Sept. 27听@ 2:00 - 5:00 p.m. MT
Where: Kitt Central (Please )
Who: MSDS听Coursera Students

Join us for the University of Colorado 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,听September 13th at 11:59pm MT.

Registration is limited.听Please only if you are able to attend in-person.

Previous Events:

When: Thursday, Sept. 12 @ 10:00 - 11:00 a.m. MT
Where:听Zoom
Who: Admitted students in CU on Coursera degree programs

Did you know that as an admitted MS-DS student听at CU Boulder, you have access to powerful career development tools?听Quinncia, an听AI Resume Editor and Mock Interview Tool from听听is one of those tools! Qunnicia can help you build a strong resume and help you develop your interviewing skills.

Please join the upcoming webinar featuring听Jake Jedamus-Denu,听Career Technology Program Manager with听Career Services, CU Boulder to learn more.

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

When: Tuesday, February听27, 2024听| 6:00 PM听- 7:30 PM

Location: ECCR 1B40 (Engineering Center)

Many statistics and data science questions are causal in nature. For example,听Does low minimum wage cause poverty?听Did the marketing strategy yield higher sales?听What is the effect of race on police use of force?听These questions seem to require more than just听predicting听an output variable from a set of input variables. Causal questions require an听explanation.听Why听did a change in the minimum wage lead to a change in poverty? Do sales听respond听to the marketing strategy? If an individual鈥檚 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 CU Boulder MS in Data Science on Coursera program is a highly interdisciplinary program open to students from a variety of backgrounds 鈥� 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 CU 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.听

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

Presenters:听

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

听

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

Join CU Boulder program staff to learn about the MS in Data Science program. You鈥檒l 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 students听

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 AM听- 10:00 AM

Join CU Boulder program staff to learn about the MS in Data Science program. You鈥檒l 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 students听

Presenters:

Kaitlyn Rye (Program Manager MSDS on Coursera)

Emerson Earthman (Course Coordinator MSDS on Coursera)

Emily Musumecci (Graduate Advisor MSDS on Coursera)