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• Welcome and introductions
• Speed networking - get to know fellow students
• Breakout rooms such as:
• Women in MS-DS
• Which courses do you recommend
• Study tips
• Career advice / career goals
• Best DS resources
• Talk to DS Mentors

Date: February 11, 2026Ìý
Time: 4Ìý– 7 PMÌýMST
Location:ÌýRaybackÌýCollective (2775 Valmont Rd, Boulder, CO 80304)

Career Month kicks off in February, andÌýyou’reÌýinvited to a DS Student Happy Hour!Ìý The department will provide light appetizers, and drinks will be available for purchase at the venue.ÌýWe hopeÌýyou’llÌýjoin us for an evening of community, conversation, and connection!Ìý

Ìý(Registration closes January 27th)Ìý

Date: February 17, 2026Ìý
Time: 6Ìý– 7 PMÌýMST
Location: Zoom

InterestedÌýto know what life after graduation is like? Come to our Data Science Alumni Panel, where you can meet recentÌýalumniÌýfrom both ourÌýresidential andÌýonline programs.ÌýLearn more about their life after graduation, including their job search andÌýtransitionÌýinto theÌýworkforce, and ask all yourÌýburning questionsÌýabout post-gradÌýlife.ÌýÌý

Date: February 20-21st (overnight), 2026
Time:Ìý5ÌýPMÌý- 1ÌýPM MST
Location:

Open to MS-DS students only.ÌýApply your data science skills to real-world challenges atÌýDaSSA'sÌýannualÌýData Science Hackathon.ÌýBuild a team, connect with peers, and win prizes!ÌýÌý

For more information, please scroll below.

Date: February 25, 2026Ìý
Time:Ìý12 – 1 PM MSTÌý
Location: Zoom

What actually worked for MS-DS alumni in their job search?ÌýIn this session,Ìýwe’llÌýlook at real hiring patterns from alumni data and translate them into concrete, evidence-informed strategies you can apply while still in the program. Ìý

Date:ÌýFebruary 24thÌýand 26th, 2026ÌýÌý
Time:Ìý10Ìý– 3ÌýPM MST
Location:Ìý Zoom and

Getting ready for interviews and would like to get some experience? Practice your interviewing skills with DS staff and receive feedback on areas for improvement! Choose from online and in-person options!

Ìý

Date:ÌýMarch 2, 2026
Time:Ìý12-1 PM MSTÌý
Location: Zoom

The Engineering Career Hub supports all CU Engineering students in exploring and preparing for meaningful, impactful careers. Learn from professional staff about how to utilize the supports available to you on campus.

Registration information coming soon!

Date:ÌýMarch 11, 2026Ìý
Time:ÌýTentatively 11 AMÌý- 4 PM MSTÌý
Location: ECST (Room TBD)

MS-DS Students: Elevate your professional presence with a free professional headshot for LinkedIn.Ìý

No registration needed - please bring yourÌýBuffOneÌýCardÌýor CU SID#ÌýforÌýMS-DS student verification!Ìý

HACKVERSE 2026 is a 12-hour data science hackathon for MS-DS students—designed to challenge your skills, spark innovation, and connect you with industry.

When: February 20–21, 2026 (12 hours)
Where: ECCS 201 + Zoom (for remote and Coursera students)

What to expect:

• Solve real-world data challenges
• Network with industry professionals and explore internships
• Compete for prizes (plus swag for all participants)
• Free food and drinks for in-person attendees

No team yet? We’ll help match teams for both in-person and online participants.

Space is limited. Register using your @colorado.edu email:

Program Overview

• When: Tuesday, January 06, 2026 at 12:00 PM Mountain Time
• Where:
• Who: MSDS Coursera Students

Join CU Boulder to learn about their MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Also, there will be time to get your questions answered by the Faculty Director, Dr. Brian Zaharatos.

Program Overview

• When: Wednesday, November 12, 2025 at 9:00 AM Mountain Time
• Where:
• Who: MSDS Coursera Students

Join CU Boulder to learn about their MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Also, there will be time to get your questions answered by the Faculty Director, Dr. Brian Zaharatos.

Join us for the first ever Data Science Online Social!ÌýThis is an opportunity to get to know otherÌýMS-DSÌýstudents, talk to mentors, and win prizes!*

*Three attendees will be selected at random to win a DS swag bag.

Date: Tuesday, November 11
Time: 4:00pm-5:00pm Mountain Standard Time

What to expect:

• Welcome and introductions
• Speed networking - get to know fellow students
• Breakout rooms including:
  • Women in MS-DS
  • Which courses do you recommend
  • Study tips
  • Career advice / career goals
  • Best DS resources
  • Talk toÌýDS Mentors

Check your student email for the registration link! Registration endsÌýNovemberÌý10th at 11:59pm MT.Ìý

You're invited to an in-person open house at CU Boulder featuring the MS-EE (soon to be MS-ECE), MS-DS, ME-EM, MS-CS, and MS-AI programs on Coursera. Connect with faculty, staff, and classmates as you experience the beautiful CU Boulder campus in person.

• Date:Ìý Friday, September 5th
• Location:Kittredge Central Hall, 2480 Kittredge Loop Dr., Boulder, CO 80305
• Who: MSDS Coursera Students
• Ìý
• Ìý

Program Overview

• When: Wednsday, March 12, 2025 at 10:00 AM Mountain Time
• Where:
• Who: MSDS Coursera Students

Program Overview

• When: Thursday, Apr 10, 2025 at 01:00 PM Mountain Time
• Where:
• Who: MSDS Coursera Students

Program Overview

• When: Wednesday, Jun 11, 2025 at 09:00 AM Mountain Time
• Where:
• Who: MSDS Coursera Students

Join CU Boulder to learn about their MS in Data Science program. You’ll hear about performance-based admissions, the interdisciplinary curriculum, and career outcomes for this 100% online degree program. Also, there will be time to get your questions answered by the Faculty Director, Dr. Brian Zaharatos.

When: Wednesday, March 12, 2025 from 6:30 to 8:00PM MST
Where:
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 — 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!

Want to improve your interview skills for industry roles? Join CU Career Services Director, Brian Hand, for an interactive workshop on Interviewing in Industry, designed to help MS-Data Science students prepare for job interviews with confidence.

• Facilitator:ÌýCU Career Services Director, Brian Hand
• Date:ÌýThursday, February 6, 2025
• Time: 5:00 PM – 6:00 PM
• Join via Zoom:

This session will cover key strategies for acing technical and behavioral interviews, common interview questions, and tips to make a lasting impression on employers.

Don't miss this opportunity to sharpen your interview skills!

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 ³Ô¹ÏÍø 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,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 CU on Coursera degree programs

Did you know that as an admitted MS-DS studentÌýat CU 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, CU 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 CU 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 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.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

Ìý

Ìý

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

Join CU 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 CU 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)