Overview
Why Data Science at University of Colorado Boulder?The University of Colorado Boulder is renowned for its strong academic reputation and innovative approach to education. The Data Science programme is delivered online through Coursera, making it accessible to a global audience. This unique partnership leverages cutting-edge technology and pedagogical methods, ensuring that students receive a high-quality learning experience. The university's commitment to research and interdisciplinary collaboration enriches the curriculum, preparing graduates for a competitive job market.
Tuition Fee BreakdownThe tuition fees for the Data Science programme are as follows:
- International Students: USD 525 per credit
- Domestic Students: USD 525 per credit
- Local Students: USD 525 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe Master of Science in Data Science requires the completion of 30 credit hours, structured as follows:
- Core Courses (21 credits):
- Probability Theory: Foundation for Data Science
- Statistical Inference for Estimation in Data Science
- Hypothesis Testing for Data Science
- Modern Regression Analysis in R
- Data Mining Pipeline
- Introduction to Machine Learning - Supervised Learning
- Relational Database Design
- Elective Courses (9 credits): Students can select from various electives to tailor their learning experience.
The curriculum incorporates practical projects that utilise real-world datasets, ensuring students gain hands-on experience in data analysis and machine learning.
Industry DemandData science is a rapidly growing field with applications across numerous industries, including finance, healthcare, and technology. The skills acquired through this programme are highly sought after, as organisations increasingly rely on data-driven decision-making. Graduates will be well-equipped to meet the demands of this evolving job market.
Careers with Data ScienceGraduates of the Data Science programme can pursue diverse career paths, including roles such as data analyst, data scientist, and machine learning engineer. Many alumni find positions in leading companies across various sectors, leveraging their expertise to drive innovation and improve operational efficiency. The programme prepares students to effectively communicate complex data insights to both technical and non-technical stakeholders, enhancing their professional impact.
Programme Structure
Courses include:
- Data Science
- Information Technology
- Web Development
- Computer Science
- Cyber Security
Key information
Start dates & application deadlines
Start dates per year: 6.
Language
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Credits
Delivered
Campus Location
- Boulder, United States
Disciplines
Data Science & Big Data View 192 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Pass one pathway with a pathway GPA of 3.0 or higher
Earn a C or better in all pathway courses within their chosen pathway
Earn an overall cumulative GPA of 3.0 or higher
Indicate interest in degree admission (via the enrollment form)
Tuition Fees
-
International Applies to you
Applies to youNon-residents15750 USD / full≈ 15750 USD / full - Out-of-State15750 USD / full≈ 15750 USD / full
-
Domestic
Applies to youIn-State15750 USD / full≈ 15750 USD / full
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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