Eligibility Requirements for University of Colorado Boulder MS Data Science

University of Colorado boulder MS in data science does not offer departmental application fee waivers at this time. To qualify for one of these waivers, students must submit proof of participation in an eligible program directly to the Graduate School before submitting their CU application.

Eligibility Requirements
Transcripts Upload unofficial undergraduate and graduate transcripts in the application portal. International students with questions about their transcript requirements should contact International Admissions for guidance.
Personal Statement Upload a document that briefly describes your background, as well as your academic and professional goals. Outline your previous experience with data science, what you hope to learn from this program, your career goals after graduation, etc. 
Letters of Recommendation Students must submit 2–3 letters of recommendation from academic, personal and/or professional references. The optional third letter is especially important for students who have lower GPA or would like to strengthen their application for any reason. 
CV/Resume Upload your current curriculum vitae (CV) or resume in the application portal. 
GRE Scores Not Required GRE scores are not reviewed.
Proof of English Proficiency

If your native language is not English, you must also provide proof of English proficiency by submitting documents verifying one of the following like TOEFL score of at least 8; IELTS score of at least 6;Duolingo score of at least 120

 

2.75/4

Bachelor's GPA Requirement

Any degree

UG Requirement

Test Scores Requirement

ExamRequirement
6
80
120

Program Eligibility URL:https://www.colorado.edu/program/data-science/campus/admissions

University of Colorado Boulder MS Data Science Class Profile

In Fall 2023 at University of Colorado boulder MS in data science there are 6,446 graduate students enrolled fall 2023 Decrease from 6,539 in fall 2022. The students status in Master's 45.1% & New Masters 18.4% enrolled. TOP 3 non-resident states and foreign countries wherein India 12.9%, China 3.4% and Republic of Korea 0.7%.

MASTERS: 5 MOST ENROLLED MAJORS

  • Computer Science
  • Aerospace Engineering Sciences
  • Electrical Engineering
  • Data Science
  • Master of the Environment

2.5 - 4 / 4

Bachelors GPA / Percentage Range

University of Colorado Boulder MS Data Science Rankings

University Ranking- THE (Times Higher Education) 2021

148

QS

317

About University of Colorado boulder MS in data science

The University of Colorado Boulder, located at the foothills of the Rocky Mountains, is renowned for its breathtaking campus and exceptional academic programs. As a leading public research university, CU Boulder offers a vibrant and diverse community for students to thrive. The university of colorado boulder ms in data science commits to innovation and collaboration is reflected in its cutting-edge research facilities and interdisciplinary approach to education.

CU Boulder's academic excellence is evident in its wide range of programs, including the highly regarded Master of Science in Data Science. This program equips students with the skills and knowledge needed to excel in the rapidly evolving field of data science. With a focus on hands-on learning and real-world applications, students gain valuable experience that prepares them for successful careers in data science.

Beyond academics, CU Boulder offers a rich campus life with numerous opportunities for students to engage in extracurricular activities, research projects, and community service. The university's stunning natural surroundings provide ample opportunities for outdoor activities, making it an ideal location for students seeking a balanced and fulfilling college experience.
 

University of Colorado boulder MS in data science Program

The University of Colorado boulder MS in data science aims to cultivate future leaders in the field by equipping students with essential skills, competencies, and knowledge. The program emphasizes creative problem-solving, adaptability, and effective communication across diverse organizations.

This non-thesis program requires a total of 30 credit hours of coursework. Students must complete 21 credits of core coursework covering topics in statistics, computer science, and general core concepts. Additionally, students are required to complete 9 credits of elective coursework, allowing them to tailor their studies to their interests and career goals.

Through a combination of rigorous coursework and practical learning experiences, students in the MS-DS program develop the analytical, technical, and communication skills necessary to excel in the dynamic field of data science. The program prepares graduates for successful careers in a variety of industries, where they can leverage their expertise to drive innovation and solve complex challenges.

Program URL:https://www.colorado.edu/program/data-science/

University of Colorado Boulder MS Data Science Program Curriculum

Program Curriculum URL:https://www.colorado.edu/program/data-science/campus/curriculum

  • APRD 6342: Digital Advertising
  • APRD 6343: Applications of Advanced Statistical Techniques in Advertising
  • CSCI 5302: Advanced Robotics
  • CSCI 5314: Dynamic Models in Biology
  • CSCI 5322: Algorithmic Human-Robot Interaction
  • CSCI 5352: Network Analysis & Modeling
  • CSCI 5402: Research Methods in Human-Robot Interaction
  • CSCI 5403: Cybersecurity
  • CSCI 5423: Biologially-Inspired Multi-Agent Systems
  • CSCI 5576: High Performance Scientific Computing

Electives

  • APRD 6342: Digital Advertising
  • APRD 6343: Applications of Advanced Statistical Techniques in Advertising
  • CSCI 5302: Advanced Robotics
  • CSCI 5314: Dynamic Models in Biology
  • CSCI 5322: Algorithmic Human-Robot Interaction
  • CSCI 5352: Network Analysis & Modeling
  • CSCI 5402: Research Methods in Human-Robot Interaction
  • CSCI 5403: Cybersecurity
  • CSCI 5423: Biologially-Inspired Multi-Agent Systems
  • CSCI 5576: High Performance Scientific Computing

The University of Colorado boulder MS in data science is a non-thesis degree that requires 30 credit hours of coursework. You must complete 21 credits of core coursework in statistics, computer science, and general core concepts as well as 9 credits of elective coursework.

  • DTSC 5301 Data Science as a Field (1 credit)
  • DTSC 5302 Ethical Issues in Data Science (1 credit)
  • DTSC 5303 Cybersecurity for Data Science (1 credit)
  • STAT 5000 Statistical Methods and Applications 1 (3 credit)
  • STAT 5010 Statistical Methods and Applications 2 (3 credit)
  • CSCI 5502 Data Mining (3 credit)
  • CSCI 5622 Machine Learning (3 credit)
  • Data Science & Big Data
  • Machine Learning

The University of Colorado Boulder offers a variety of clubs and associations that cater to diverse interests and causes. Some of these include:

  • Advocates for Mental Health: A group dedicated to raising awareness about mental health issues and advocating for better mental health resources and support on campus.
  • Advocating for HealthCare Access for the Deaf and Hard of Hearing (HoH) Community: A group that works to promote healthcare access and inclusivity for individuals who are deaf or hard of hearing.
  • Campus Choir: A musical group that provides opportunities for students to participate in choral performances and concerts on campus.
  • Christian Medical Dental Association: A group that brings together students interested in healthcare and the Christian faith, providing a platform for discussion and community service.
  • Cannabis Science and Medicine Organization: A group focused on exploring the science and medicine behind cannabis, including its potential uses and implications for healthcare.
  • Climate and Health Advocacy, Sustainability, and Education (CHASE): A group that advocates for climate action, sustainability, and environmental health, promoting education and awareness on these important issues.

These clubs and associations provide opportunities for students to engage with like-minded individuals, pursue their passions, and make a positive impact on campus and in the community.

The University of Colorado boulder MS in data science offers a range of extracurricular activities to enrich students' experiences and enhance their skills. Some of these activities include:

  • Student clubs: There are clubs dedicated to various interests such as public speaking, hiking, reading, and free tutoring. These clubs provide opportunities for students to pursue their passions, develop new skills, and socialize with peers who share similar interests.
  • Weekly events: The university organizes weekly events that are open to all students. These events could include cultural activities, performances, guest lectures, and more, providing students with a chance to engage with diverse perspectives and experiences.
  • Workshops and guest speakers: The university hosts workshops and invites guest speakers to campus to provide students with valuable insights and knowledge beyond the classroom. These events cover a wide range of topics and allow students to learn from experts in various fields.

Overall, these extracurricular activities complement students' academic experiences and help them develop holistically, fostering a vibrant and inclusive campus community.

University of Colorado Boulder MS Data Science Acceptance Rate

The acceptance rate for the Master of Science in Data Science program at the University of Colorado Boulder is 80%

University of Colorado Boulder MS Data Science Fee Structure

The Master of Science in Data Science program at the University of Colorado Boulder has a total tuition fee of USD 45,960.

On Campus Tuition Fees
International Students USD 45,960

University of Colorado Boulder MS Data Science Deadlines

University of Colorado Boulder MS Data Science Admission Process

There are two pathways to be admitted and complete degree requirements at University of Colorado boulder MS in data science

Direct to Data Science Pathway

Students with the mathematics and programming experience outlined below can complete the degree with 30 total credits.

Bridge to Data Science Pathway

Students without the specific math and programming experience below are eligible for admission into this pathway and can complete the degree with 30–34 total credits as determined by the graduate committee upon a review of the student’s prior experience.

What the School look in Students while Admission process

The School invite applicants from all academic backgrounds to meet our basic requirements, which include

  • Having a bachelor's degree (or equivalent) from a recognized institution, demonstrating potential for advanced study and research, being adequately prepared for graduate data science studies.
  • Having a minimum undergraduate GPA of 2.75 out of 4.0.
  • International applicants should check specific requirements for their country and English proficiency.
  • The selection process considers academic and professional achievements, recommendation letters, and essays comprehensively.

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University of Colorado Boulder MS Data Science Employment

81,000

Average Starting Salary

University of Colorado Boulder MS Data Science Employment Statistics

The University of Colorado boulder MS in data science program prepares students for a variety of data scientist jobs, which are expected to increase by 36% between 2021 and 2031, according to the U.S. Bureau of Labor Statistics. Graduates with a degree in data science are well-prepared to enter the workforce as data architects, analysts, engineers, machine learning architects, business intelligence developers, statisticians, and more.
 
 
 
 

Companies Recruiting University of Colorado Boulder MS Data Science Graduates

  • Amazon
  • Google 
  • Microsoft
  • Salesforce

Employment Overview URL: https://www.colorado.edu/program/data-science/

Letter of Recommendation for University of Colorado Boulder MS Data Science

For the University of Colorado boulder MS in data science program, applicants are required to submit 2-3 letters of recommendation as part of their application package. These letters should ideally come from individuals who can speak to the applicant's academic and professional qualifications related to data science.

Tips for a Strong Letter of Recommendation (LOR):

  • Choose Recommenders Wisely:

Select individuals who know you well and can provide specific examples of your skills and accomplishments.
Provide Context: Give your recommenders details about the program and why you're applying, so they can tailor their letters to your goals.

  • Communicate Requirements:

Ensure they understand the submission deadline and how to submit the letter.

  • Follow Up:

Gently remind them of the deadline as it approaches, and don't forget to thank them for their support.

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Statement of Purpose for University of Colorado Boulder MS Data Science

The Statement of Purpose (SOP) for the University of Colorado boulder MS in data science program should detail your academic and professional experiences, your interest in data science, and how the program aligns with your career goals. It's a critical part of your application, offering insights into your motivations, strengths, and potential contributions to the program.

Tips for Crafting Your SOP:

  • Be Specific: 

Tailor your SOP to highlight why you're interested in data science, particularly at the University of Colorado Boulder.

  • Showcase Your Background:

Link your past experiences and achievements to the skills and knowledge you'll bring to the program.

  • Research Oriented:

Demonstrate familiarity with the program's curriculum, faculty, and research opportunities.

  • Career Goals:

Clearly articulate how the program fits into your professional aspirations.

  • Personal Insights:

Share personal stories or challenges that have shaped your interest in data science.

  • Clarity and Conciseness:

Write clearly, concisely, and compellingly. Avoid unnecessary jargon.

  • Proofread:

Ensure your SOP is free from grammatical and spelling errors.

Remember, your SOP is your opportunity to stand out and make a compelling case for your admission.

University of Colorado Boulder MS Data Science Scholarships available for International Students

The University of Colorado Boulder offers a variety of scholarships for international students to support their academic endeavors and professional aspirations.
 

  • Alvin G. Flanagan Scholarship
  • Michael Hoelscher Memorial Scholarship
  • Dr. Leonhard E. Baak Memorial Scholarship for German Studies Majors
  • Il Circolo Italiano di Denver Endowed Scholarship (Fall & Spring)
  • A Queer Endeavor Kelley Therese Wylder Anderson Scholarship
  • A. David Hill Endowed Scholarship in Geography
  • AAH Scholarship: Diversity, Equity & Inclusion Endowed Scholarship Fund
  • Abel Family Endowed Scholarship
  • Accenture Scholarship Fund
  • ACS-Hach Land Grant Scholarship
  • Adele V. Leonhardy Memorial Scholarship in Mathematics
  • AIA Colorado North Scholarship

 

What makes University of Colorado Boulder MS Data Science unique?

The University of Colorado boulder MS in data science program stands out for several reasons:

  • Interdisciplinary Approach: The program adopts an interdisciplinary approach, combining elements of statistics, computer science, and general core concepts. This approach equips students with a well-rounded skill set that is essential for success in the field of data science.
  • Focus on Creative Problem-Solving: The program emphasizes creative problem-solving, preparing students to tackle complex challenges in the real world. This focus on innovation and critical thinking sets the program apart from others in the field.
  • Emphasis on Communication Skills: Effective communication is crucial in data science, and the program places a strong emphasis on developing students' communication skills. This includes the ability to communicate complex technical concepts to non-technical stakeholders, a skill that is highly valued in the industry.
  • Flexibility and Customization: With 9 credits of elective coursework, students have the flexibility to tailor their studies to their interests and career goals. This customization allows students to explore specialized areas within data science that align with their passions.
  • Preparation for Leadership Roles: The program seeks to shape tomorrow's leaders by providing students with the skills, competencies, and knowledge necessary to excel in leadership roles. This focus on leadership development sets the program apart and prepares graduates to make a meaningful impact in their careers.

University of Colorado Boulder MS Data Science Contact Information

Whom should I contact in case of any doubts?

For any doubts or queries regarding the Master of Science in Data Science program at the University of Colorado Boulder, you can contact the program directly via email at datascience@colorado.edu or by phone at 303-735-4114.

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University of Colorado at Boulder Master of Science - MSc

Conclusion: Should you apply to University of Colorado Boulder MS Data Science?

In conclusion, the University of Colorado boulder MS in data science program offers a comprehensive curriculum, a supportive academic environment, and a range of resources to prepare students for successful careers in the field. With a focus on interdisciplinary learning, practical skills development, and industry relevance, this program provides a solid foundation for aspiring data scientists. Additionally, the university's strong network of alumni and industry connections can provide valuable opportunities for networking and career advancement. If you are passionate about data science and looking for a program that combines academic rigor with real-world application, the MS in Data Science at the University of Colorado Boulder could be the right choice for you.

 

 

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Ask a Question

Have Queries about University of Colorado at Boulder?

Get Answers from Alums

Hello, I want to pursue my Bachelor's degree in USA, but the results I am getting here are all about Master's program. So, I would like to know if your team can help me with an Undergraduate program.?

Yes, ofcourse. 
We’ll be happy to help you.
I suggest you directly get in touch with Study Abroad Experts here. They will analyse your profile and help you with the relevant information for FREE.

 

I have already done my masters in life science, but want to pursue an other masters related to management I would like to know the scope of doing double masters?

There are numerous reasons to pursue a dual Master's degree program. Here are a few of the most important:

Academic resources - You will access a wealth of scholarly resources through the universities in which you are enrolled.
Employability - Having two Masters degrees may give you an advantage over other candidates in the job market, demonstrating that you have the skills required for success in a difficult environment.
International perspective - Living and studying abroad can be an extremely rewarding experience, opening up new avenues and perspectives that would otherwise be missed. And having a global perspective will help you when you graduate and start looking for work.
Language abilities - Even if the course is taught entirely in English, many foreign universities will provide language classes to double Masters students. Depending on the location, you could improve your existing language skills or learn a completely new one.
Richer study opportunities - Because you'll be taking two courses at two (or more) universities, you'll gain a broader, more comprehensive understanding of your chosen subject. You'll be able to investigate and question the connections between the programs, which you can then use as a foundation for your dissertation.
If you have any further questions, ask me.

 

What is common in the Data Science curriculum in top universities abroad?
It could be many things. For example, the base topics are almost the same for every data science curriculum. Of course, there would be a few tweaks and differences, but topics like linear regression, Python, SQL, statistics and data libraries are always there. It’s because these are some of the most basic ones that are used in data science.


Later on, the electives differ from university to university. However, it doesn’t mean they will completely differ. For example, you could choose data structure, linguists, optimization or maybe advanced algorithms. Now it is possible that you may not find all these electives in a different data science course in a different university.


But as I mentioned, these are the most common topics you will find in a data science course abroad:


linear regression
Python
SQL
statistics
data libraries

These are the very basic topics every data science course has. Like you have to learn python to some extent even if you are not planning for a career in it. Topics like these are also used in interviews of university students or for a job. It is very likely to see some foundation questions that can trick you if you choose to skip any of these topics.


Just like trigonometry in school, basic areas of data science may seem useless, but they are not.  People are literally making a career out of Python language. And it's not even rare to do so. Basically, you can master any area of data science and later convert it into electives to get specialization. All standard data science courses allow you to start your specialization in the second year.


Except for these topics, the number of electives you can pick can differ. But mostly, it’s very flexible for students. Some universities offer added courses along with your specialization. However, I would not consider it common as not every university does so.


Except for UK based universities, the curriculum of every data science course is somewhat similar. The real difference is in the teaching method. In the UK, they have one-year master courses. They are fast and directly start with your specialization. If you are clear on your goals and career plans, this might be the best one for you. Anyway, I hope I have given enough information so you can make your decision. Let me know if you need anything else.

How can I study abroad when I do not have the finances?

I understand that finances can look like a big hindrance to your study abroad dream but don’t worry, there is always a way. While you can not get a fully-funded scholarship, you can look for scholarships that cover most part of your expenses. Here I have created a list of top scholarships and what all do they cover:

Fulbright Nehru Master’s fellowship 

The scholarship covers - a J-1 USA student visa support facility, economic class flight fares (round trip from the student’s hometown to the institution in the USA), 75%tuition fees, accident and sickness coverage as per the U.S. Government guidelines. 

The scholarship is awarded to just 4000 international students each year. 

Chevening Scholarship 

Funded by the UK government, the scholarship rewards up to £18,000 (INR 18,00,000). The acceptance rate for the Chevening Scholarship is around 3%. As an example in 2019, of the 63000 applicants, only 1800 were awarded the scholarship.

Commonwealth Scholarship 

Apart from the tuition fees, it covers airfare from the home country to the UK and return. The UK government also gives you a living allowance worth GBP 1084 per month. But the catch here is that this scholarship is awarded to ONLY 700 students each year, and the no. of applications is easily 90 Thousand to a Lakh.  

As mentioned, the acceptance rate of these scholarships is pretty low and you need to be double sure if your profile matches their requirements. Different countries have different scholarships and not all schools in a country would accept a single scholarship. The point is, the scholarships accepted would be varying across countries, schools, programs etc. 

So factors like your desired country, school, program, all of it will help you find the right scholarship for you. 

I know it can look a bit difficult to do all this by yourself. I suggest you directly get in touch with Study Abroad Experts here for FREE. They will analyse your profile and will help you with relevant details like what scholarships you can apply to or the loans that you can depend upon. 

 

Let me know if this helps and if you want any other information from my end. 

 

How can I get a scholarship for a student exchange program in the USA?How many marks are needed for that scholarship?I’m looking for a BBA program?

The procedure and marks you need to get a scholarship for a student exchange program is not that complex. The important thing to note here is that you will need a full profile instead of just marks. There are other things on your profile as well that are responsible for admission and scholarship.

First let's start with the procedure. To get a scholarship for a student exchange program first thing you will need to do is build a profile before admission. The scholarship process will ask you to present your admission letter as a proof. The common procedure is to go to the government portal and start applying. There you will see all the scholarships you can apply for based on your profile.

About how many marks you need. Most of the scholarships are merit based. Therefore, it is not about how much marks you need but how much marks you can obtain matters. Among all the available scholarship slots, only the best candidates are awarded. Few scholarships apply to your financial condition but those aren't that common. I suggest you study and get as many marks as possible to be secured.

Bachelors in Business Administration (BBA) is a very common program available in USA universities. You won’t find any complexity in finding the right institutes or a course. The average tuition for BBA in the USA  is around 20 lakhs per year. If you choose a less prestigious university, you can reduce your expenses.


I hope this cleared your doubts on this topic. If you need a personalized experience, I suggest getting in touch with the experts here for free. They can consult you regarding any abroad studies related topics such as scholarship, programs, universities and visa. Hope it helps.

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