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Mathematics for Computer Science

Mathematics for Computer Science is a beginner-level online course from Coursera in Mathematics. It is structured in 4 modules with 4 stated learning outcomes, over 9h 38m. Learners rate it 4.2/5 from 287 ratings on Coursera.

Part of our Mathematics courses collection, where we compare it against 14 other courses. See all Mathematics courses on Coursera.

★★★★★4.2(287 reviews) English

Course highlights

Provider Coursera
Duration 9h 38m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.2★ (287 reviews)
Price Check price

About this course

This course builds the mathematical foundations you need to work in computer science. You will learn to transform numbers between different bases and do arithmetic in those bases. You will identify and compute number sequences and their sums. You will represent and describe space using coordinates and graphs. You will study and describe how quantities vary using functions and their graphs.

The course uses a mix of short video lectures, readings and practice quizzes. Each week focuses on one topic from the module list: number bases, sequences and series, coordinates and graphs, and functions and their graphs. The videos walk through examples step by step. The readings give you the definitions and formulas. The quizzes let you check your understanding before you move on. You can pause, rewind and rewatch the videos as many times as you need. The course is self-paced, so you can spread the 9 hours 38 minutes of content over a few days or finish it in one sitting.

By the end you will be able to move between number bases, work with sequences, plot points on a graph, and write simple functions. These skills are useful if you are starting out in data analysis, machine learning or any role that uses numbers in code. The course does not cover calculus, probability or statistics — those topics are in other courses. If you need those, look at the Discrete Mathematics course on Udemy or the Mathematics for Engineering course, both of which include more advanced algebra and calculus.

Enroll for free and pay only if you want the certificate. The course has a 4.2 rating from over 200 ratings. It is listed as beginner level and is taught in English. You can start anytime and learn at your own speed.

What you’ll learn

1. Transform numbers between number bases and perform arithmetic in number bases
2. Identify, describe and compute sequences of numbers and their sums.
3. Represent and describe space numerically using coordinates and graphs.
4. Study, represent and describe variations of quantities via functions and their graphs.

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
Time commitment: 9h 38m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Applied MathematicsNumerical AnalysisAlgebraGeometryComputer ScienceArithmeticLogical ReasoningMathematical ModelingGeneral MathematicsDeductive ReasoningCryptography

What this course covers

4 modules

The 4-part outline Coursera publishes for this course, across 9h 38m.

Module 1 · Number bases
Module 2 · Number bases - continued
Module 3 · Sequences and series
Module 4 · Sequences and series - continued

What learners rate it

4.2
★★★★★
287 ratings

Rated 4.2/5 by 287 learners on Coursera (checked 6 Nov 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 6 November 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Mathematics for Computer Science This Coursera 4.2★ Check price 9h 38m Quickest to finish (9h 38m)
Mathematics for Engineers Coursera 4.8★ Check price 3 months Highest rated (4.8★ from 7.9K reviews) View ↗
English for Science, Technology, Engineering, and Mathematics Coursera 4.8★ Check price 34h 39m Beginner-friendly · 34h 39m View ↗
Discrete Mathematics Udemy 4.7★ ₹589 19 hours Most popular — 30.8K learners View ↗
See all Mathematics courses →

Where Mathematics leads

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Common questions

How much does Mathematics for Computer Science cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Mathematics for Computer Science come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Mathematics for Computer Science take?

Coursera lists it at 9h 38m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Mathematics for Computer Science suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Mathematics for Computer Science cover?

It is organised into 4 modules, starting with Number bases and going on to Number bases - continued, Sequences and series, Sequences and series - continued. The full outline is on this page.

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