Studyportals

Data Science

Coursera

M.Sc. Online
24 months
Duration
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

This Data Science Master offered by Coursera in partnership with The University of Colorado Boulder is an interdisciplinary, applied data science master’s degree with no application. Pass a series of placement tests and get started right away.

Join the leading study choice platform for free
  1. Get details of 180000+ English-taught programmes worldwide.
  2. Find, wishlist and compare your best fitting programme.
  3. Apply for scholarships worth up to €6,000.
account benefits visualised

Overview

Join the exciting and growing field of data science! The University of Colorado Boulder is developing a Master of Science in Data Science degree. 

The programme

This Data Science Master offered by Coursera in partnership with The University of Colorado Boulder will draw on CU Boulder faculty expertise in statistics, data science, computer science, geospatial analytics, and natural language processing. You’ll learn cross-functional communication and teamwork as you master the skills that fuel creative problem solving and drive today’s business innovations. Learn foundational skills and then apply them in elective specialties to achieve your personal career goals.

With short, 4 - 6 week courses, this rigorous degree matches the needs of today’s workforce. Performance-based admissions means there are no prerequisites or an application. Take a series of area-specific exams, earn a B average or better, and you will be admitted into the degree. Learn and earn credit without needing to wait 6 months while your application is being completed and reviewed.

Degree students will participate in practical, hands-on projects that utilize cloud-based programming environments and Jupyter Notebooks. This coursework includes access to real-world big data sets to prepare you for your future career.

Programme Structure

  • Initial courses will cover theory and methods of data science, including data structures, programming fundamentals, and statistics. Learn both R and Python programming, the most commonly used languages in data science. 
  • Training will emphasize theory and methods as well as the tools of the modern workplace, including Amazon Web Services, the Hadoop file system, and tools like SQL and Apache Spark. Become proficient in Predictive Modeling, Risk Analysis, Data Visualization, Machine Learning, and AI.

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

30 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Tuition Fee

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Getting a Student Visa

This is an online programme. You can attend from the comfort of your chair! So you don't need a student visa!

Our partners

Data Science
-
Coursera

Wishlist