Overview

The Master of Science in Data Science - Computer Science at Colorado School of Mines equips students with a robust foundation in both statistics and computer science, enabling them to apply these skills across various scientific and engineering disciplines. The programme is structured around a unique 3 X 3 + 1 design, comprising three main modules, each containing three 3-credit courses focused on different aspects of data science. These modules cover:

Data modelling and statistical learning
Machine learning, data processing, and algorithms
Individualised and domain-specific coursework

In addition, there is a mini-module consisting of three 1-credit professional development courses, ensuring students are well-prepared for the workforce. A solid understanding of probability and mathematical foundations is essential for success in this programme. Prospective students are encouraged to have completed courses such as Linear Algebra (MATH 332), Introduction to Probability (MATH 334), and Programming Concepts (CSCI 261) or their equivalents.

Why Data Science - Computer Science at Colorado School of Mines?

Colorado School of Mines is recognised as a top-tier institution, being ranked as the best public university in Colorado and noted for its excellent return on investment. The university boasts strong industry partnerships and state-of-the-art facilities, providing students with access to cutting-edge resources and networking opportunities. The projected job growth for mathematicians and statisticians is 33% from 2020 to 2030, highlighting the increasing demand for skilled professionals in this field.

Tuition Fee Breakdown

The estimated tuition fees for the Master of Science in Data Science - Computer Science are as follows:

International: USD 42,840 per year
Domestic: USD 42,840 per year
Local: USD 19,692 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to cover a comprehensive range of topics essential for data science professionals. Key modules include:

Data Modelling and Statistical Learning
Machine Learning and Data Processing
Algorithms and Parallel Computation
Individualised Domain-Specific Coursework
Professional Development

Careers with Data Science - Computer Science

Graduates of the Data Science - Computer Science programme find themselves well-prepared for a variety of roles in diverse industries. Alumni have successfully secured positions as:

Data Scientists
Machine Learning Engineers
Data Analysts
Business Intelligence Developers
Quantitative Analysts

They work in sectors including technology, finance, healthcare, and academia, contributing to innovative projects that leverage data to drive decision-making and improve outcomes.

Programme Structure

Courses include:

Data Science

Statistical Methods

Machine Learning

Key information

Start dates & application deadlines

Starting 2027-01-12 00:00:00
- Apply before 2026-10-01 00:00:00 , International
- Apply before 2026-12-01 00:00:00 , National
Starting 2027-08-25 00:00:00
- Apply before 2027-03-01 00:00:00 , International
- Apply before 2027-08-01 00:00:00 , National

Language

English

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IELTS

6.5

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Credits

12 SCH

Delivered

Online

Campus Location

Golden, United States

Disciplines

Computer Sciences Data Science & Big Data View 263 other Masters in Computer Sciences in United States

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Academic requirements

GPA

English requirements

Duolingo English Test

105

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

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

Bachelor’s Degree
Resume or Curriculum Vitae (CV): Required
Statement of Purpose: Not Required. Suggested if GPA is less than 3.0/4.0
Transcript(s): Required. Must be submitted for all schools attended (unofficial transcripts accepted for admissions review and must show successful completion of any required prerequisite course(s).

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

42840 USD / year

≈ 42840 USD / year
Out-of-State

42840 USD / year

≈ 42840 USD / year
Domestic

Applies to you

In-State

19692 USD / year

≈ 19692 USD / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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 - Computer Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

Data Science - Computer Science

About

About

Overview

Programme Structure

Key information

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Funding

Scholarships Information

Available Scholarships

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