# Maths Essentials Review (2026): 8.5/10 · EDX · Free > Independent review of Maths Essentials Course on EDX. Rated 8.5/10 by our editorial team. Pros, cons, price, and top alternatives. Free to enroll. Certificat… Computer Science Courses Maths Essentials Course ![Maths Essentials Course](/api/media/file/hero/maths-essentials-course.jpg?width=800) # Maths Essentials Course — Review (8.5/10) Maths Essentials by LSE on edX provides a solid grounding in core mathematical concepts crucial for higher education in quantitative fields. The course is well-structured and beginner-friendly, though... Explore This Course Maths Essentials Course is a 6 weeks online beginner-level course on EDX by The London School of Economics and Political Science that covers computer science. Maths Essentials by LSE on edX provides a solid grounding in core mathematical concepts crucial for higher education in quantitative fields. The course is well-structured and beginner-friendly, though it assumes some prior exposure to high school math. While free to audit, earning a verified certificate comes at a cost. It's ideal for students preparing for university-level economics or business programs. We rate it 8.5/10. ## Prerequisites No prior experience required. This course is designed for complete beginners in computer science. ## Pros - Clear and structured curriculum ideal for beginners - Developed by a prestigious institution (LSE) - Covers essential topics needed for quantitative degrees - Self-paced format allows flexible learning ## Cons - Limited interactivity and instructor engagement - No advanced topics beyond foundational level - Certificate requires payment after free audit ## Maths Essentials Course Review Platform: EDX Instructor: The London School of Economics and Political Science Updated Apr 24, 2026·Editorial Standards·How We Rate ## What will you learn in Maths Essentials course - A grounding in arithmetic and algebra - An overview of functions and the fundamentals of calculus - An introduction to financial mathematics ### Program Overview ### Module 1: Arithmetic and Algebra 1-2 weeks - Operations with integers, fractions, and decimals - Solving linear equations and simplifying expressions - Working with exponents and basic radicals ### Module 2: Functions and Graphs 1-2 weeks - Understanding domain, range, and function notation - Graphing linear and quadratic functions - Applying transformations to common functions ### Module 3: Differential Calculus Basics 1-2 weeks - Computing derivatives using power rule - Interpreting derivatives as rates of change - Finding maxima and minima of functions ### Module 4: Financial Mathematics 1-2 weeks - Calculating simple and compound interest - Evaluating present and future value - Analyzing annuities and loan payments ### Module 5: Applications of Functions 1-2 weeks - Modeling real-world problems with functions - Using exponential functions for growth - Interpreting logarithmic scales and relationships ### Get certificate #### Job Outlook - Stronger readiness for quantitative university programs - Improved performance in economics and finance courses - Foundational skills for data-driven career paths ## Editorial Take Maths Essentials, offered by The London School of Economics and Political Science on edX, is a foundational course designed to equip learners with the mathematical tools necessary for success in quantitative undergraduate programs. With a clear focus on arithmetic, algebra, functions, calculus, and financial mathematics, it serves as a strong academic refresher or preparatory course. ### Standout Strengths - Curriculum Clarity: The course presents mathematical concepts in a logical, step-by-step manner, making it accessible even for those with rusty math backgrounds. Each module builds naturally on the previous one, ensuring steady progression. - Prestigious Institution: Being developed by LSE, a globally recognized leader in economics and social sciences, adds significant credibility. The academic rigor reflects high educational standards expected in university settings. - Academic Preparation: Ideal for students entering economics, business, or data-related degrees, this course bridges gaps in pre-university knowledge. It prepares learners for more advanced coursework with confidence. - Self-Paced Flexibility: Learners can complete the 6-week course at their own speed, fitting study around other commitments. This flexibility enhances accessibility for working professionals or gap-year students. - Free Access Model: The ability to audit the course at no cost lowers barriers to entry, promoting equitable access to quality education. This is especially valuable for students in resource-limited environments. - Practical Relevance: Financial mathematics introduces real-world applications like interest calculations and present value, linking abstract concepts to everyday financial decisions. This enhances motivation and retention. ### Honest Limitations - Limited Depth: The course covers fundamentals but does not delve into advanced topics. Learners seeking in-depth calculus or linear algebra will need to pursue further study beyond this offering. - Minimal Instructor Interaction: As a self-paced MOOC, there is little to no direct interaction with instructors or teaching staff. This may challenge learners who thrive on feedback and personalized guidance. - Certificate Cost Barrier: While content is free to audit, obtaining a verified certificate requires payment, which may deter some learners despite the value it adds for academic or professional portfolios. - Assumed Prior Knowledge: Although labeled beginner-friendly, the course assumes familiarity with basic high school math. Those completely new to algebra may struggle without supplemental resources. ### How to Get the Most Out of It - Study cadence: Dedicate 4–6 hours per week consistently across six weeks to maintain momentum. Spacing out study sessions improves long-term retention and understanding of mathematical principles. - Parallel project: Apply concepts to real-life scenarios like budgeting or loan calculations. Practical application reinforces learning and demonstrates the relevance of financial mathematics topics. - Note-taking: Maintain a dedicated notebook for formulas, definitions, and worked examples. Rewriting key concepts strengthens memory and creates a personalized reference guide. - Community: Join edX discussion forums to ask questions and share insights. Engaging with peers helps clarify doubts and fosters a collaborative learning environment. - Practice: Complete all exercises and quizzes rigorously. Repetition builds fluency in algebraic manipulation and problem-solving techniques essential for quantitative success. - Consistency: Avoid long breaks between modules to maintain conceptual continuity. Regular review ensures foundational topics remain fresh when advancing to calculus and financial math. ### Supplementary Resources - Book: 'Basic Mathematics' by Serge Lang offers deeper explanations and additional practice problems. It complements the course content well for self-learners seeking extra rigor. - Tool: Use Desmos or GeoGebra for visualizing functions and graphs. These free online tools enhance understanding of abstract mathematical relationships through interactive exploration. - Follow-up: Enroll in LSE’s statistics or economics courses on edX after completion. This creates a natural academic pathway into quantitative social sciences. - Reference: Khan Academy’s algebra and calculus sections provide concise video reviews. They’re excellent for reinforcing difficult topics encountered in the course. ### Common Pitfalls - Pitfall: Skipping practice problems leads to weak retention. Mathematics requires active engagement—passive watching of lectures is insufficient for mastering problem-solving skills. - Pitfall: Underestimating the importance of foundational topics. Gaps in arithmetic or algebra understanding will hinder progress in calculus and financial applications later in the course. - Pitfall: Procrastinating due to self-paced structure. Without deadlines, learners may delay work; setting personal milestones is crucial to staying on track. ### Time & Money ROI - Time: Six weeks of moderate effort yields strong conceptual grounding. The time investment is reasonable for the knowledge gained, especially when aligned with academic goals. - Cost-to-value: Free audit access delivers exceptional value. Even the paid certificate offers good ROI for students needing proof of preparation for competitive programs. - Certificate: The verified certificate enhances academic applications but isn't essential for learning. It's most valuable for those needing formal documentation of skill acquisition. - Alternative: Free YouTube playlists or Khan Academy can teach similar content, but LSE's structured curriculum and brand recognition provide added motivation and credibility. ### Editorial Verdict Maths Essentials stands out as a high-quality, accessible course that effectively prepares learners for the mathematical demands of undergraduate study, particularly in economics, business, and related fields. Developed by The London School of Economics, it combines academic rigor with practical relevance, offering a well-structured pathway through essential topics like algebra, functions, calculus, and financial mathematics. The self-paced format and free audit option make it widely accessible, removing financial barriers while maintaining educational quality. Its modular design allows learners to progress steadily, with each section reinforcing the last, creating a cohesive learning journey ideal for building confidence in quantitative reasoning. That said, the course is best suited for review or preparation rather than deep mastery. It doesn’t replace a full semester of college math but serves as an excellent primer. The lack of live support and limited depth beyond fundamentals mean motivated learners should pair it with additional practice or resources. Still, for its intended audience—students transitioning to quantitative degrees or professionals refreshing core skills—it delivers outstanding value. We recommend Maths Essentials as a strong starting point, especially when combined with active practice and supplementary tools. For those seeking formal recognition, the verified certificate is worth the investment, enhancing resumes or academic applications with a credential from a world-renowned institution. ## How Maths Essentials Course Compares | Course | Platform | Rating | Level | Duration | | --- | --- | --- | --- | --- | | Maths Essentials Course | EDX | 8.5/10 | Beginner | 6 weeks | | Microsoft Front-End Developer Professional Certificate Course | Coursera | 9.9/10 | N/A | N/A | | Introduction to Back-End Development Course | Coursera | 9.9/10 | N/A | N/A | | Introduction to Technical Support Course | Coursera | 9.9/10 | N/A | N/A | ## Who Should Take Maths Essentials Course? This course is best suited for learners with no prior experience in computer science. It is designed for career changers, fresh graduates, and self-taught learners looking for a structured introduction. The course is offered by The London School of Economics and Political Science on EDX, combining institutional credibility with the flexibility of online learning. Upon completion, you will receive a verified certificate that you can add to your LinkedIn profile and resume, signaling your verified skills to potential employers. If you are exploring adjacent fields, you might also consider courses in Agile & Scrum Courses, AI Courses, Arts and Humanities Courses, which complement the skills covered in this course. ### Career Outcomes - Apply computer science skills to real-world projects and job responsibilities - Qualify for entry-level positions in computer science and related fields - Build a portfolio of skills to present to potential employers - Add a verified certificate credential to your LinkedIn and resume - Continue learning with advanced courses and specializations in the field ## More Computer Science Courses on EDX Explore other highly rated courses in computer science available on EDX to expand your learning path: - HarvardX: CS50’s Computer Science for Lawyers course 9.7/10 - Computer Science for Databases using SQL course 9.7/10 - Computer Science for Web Programming course 9.7/10 - MITx: Circuits and Electronics 1: Basic Circuit Analysis course 9.7/10 - MITx: Learning Time Series with Interventions course 9.7/10 - MITx: Circuits and Electronics 2: Amplification, Speed, and Delay course 9.7/10 - MITx: Circuits and Electronics 3: Applications course 9.7/10 - Statistics and Data Science (Social Sciences Track) course 9.7/10 - Statistics and Data Science (Time Series and Social Sciences Track) course 9.7/10 - Circuits and Electronics course 9.7/10 ## Top Alternatives on Other Platforms Looking for a different teaching style or approach? These top-rated computer science courses from other platforms cover similar ground: - Microsoft Front-End Developer Professional Certificate Course 9.9/10 Coursera - Introduction to Back-End Development Course 9.9/10 Coursera - Introduction to Technical Support Course 9.9/10 Coursera - IBM iOS and Android Mobile App Developer Professional Certificate Course 9.8/10 Coursera - Meta Full-Stack Developer Specialization Course 9.8/10 Coursera - Marketing Analytics Foundation Course 9.8/10 Coursera - React Basics Course 9.8/10 Coursera - Meta Android UI Development Specialization Course 9.8/10 Coursera - Operating Systems: Overview, Administration, and Security Course 9.8/10 Coursera - Tools for Data Science Course 9.8/10 Coursera ## More Courses from The London School of Economics and Political Science The London School of Economics and Political Science offers a range of courses across multiple disciplines. If you enjoy their teaching approach, consider these additional offerings: - Mathematics and Statistics Fundamentals Proctored Exam Course 8.5/10 - Mathematics 1 Part 2: Integral Calculus, Algebra, and Applications Course 8.5/10 - Maths Essentials: Proctored Exam Course 8.5/10 - Mathematics 1 Part 1: Differential Calculus Course 8.5/10 - Practical People Management: Motivating and Engaging Teams Course 8.5/10 - Sustainability Fundamentals: Concepts, Policy, and Navigating Transitions Course 8.5/10 View all courses from The London School of Economics and Political Science → ## Related Articles & Guides Deepen your understanding with these articles from our editorial team, covering career advice, industry trends, and learning strategies: - Build AI skills with the Google AI Professional Certificate - Python Tutorial: Best Courses to Learn Python in 2026 - CISSP vs CompTIA Security+: Which Cert Should You Pursue? - Coursera Data Analytics Professional Certificate: Worth It in 2026? - Best edX Courses in 2026: Top Picks by Enrollment and Career Value - Best Online Coursera Courses in 2026: What's Actually Worth Your Time - Udemy Online: What the Platform Actually Delivers in 2026 - OKR for Leaders: 7 Best Training Courses Compared (2026) - Generative AI for Marketing with Microsoft 365 Copilot: Professional Certificate Review - The Best React Courses in 2026, Ranked and Reviewed ## Explore All Course Categories Not sure what to learn next? 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Be the first to share your experience! ## FAQs What are the prerequisites for Maths Essentials Course? No prior experience is required. Maths Essentials Course is designed for complete beginners who want to build a solid foundation in Computer Science. It starts from the fundamentals and gradually introduces more advanced concepts, making it accessible for career changers, students, and self-taught learners. Does Maths Essentials Course offer a certificate upon completion? Yes, upon successful completion you receive a verified certificate from The London School of Economics and Political Science. This credential can be added to your LinkedIn profile and resume, demonstrating verified skills to employers. In competitive job markets, having a recognized certificate in Computer Science can help differentiate your application and signal your commitment to professional development. How long does it take to complete Maths Essentials Course? The course takes approximately 6 weeks to complete. It is offered as a free to audit course on EDX, which means you can learn at your own pace and fit it around your schedule. The content is delivered in English and includes a mix of instructional material, practical exercises, and assessments to reinforce your understanding. Most learners find that dedicating a few hours per week allows them to complete the course comfortably. What are the main strengths and limitations of Maths Essentials Course? Maths Essentials Course is rated 8.5/10 on our platform. Key strengths include: clear and structured curriculum ideal for beginners; developed by a prestigious institution (lse); covers essential topics needed for quantitative degrees. Some limitations to consider: limited interactivity and instructor engagement; no advanced topics beyond foundational level. Overall, it provides a strong learning experience for anyone looking to build skills in Computer Science. How will Maths Essentials Course help my career? Completing Maths Essentials Course equips you with practical Computer Science skills that employers actively seek. The course is developed by The London School of Economics and Political Science, whose name carries weight in the industry. The skills covered are applicable to roles across multiple industries, from technology companies to consulting firms and startups. Whether you are looking to transition into a new role, earn a promotion in your current position, or simply broaden your professional skillset, the knowledge gained from this course provides a tangible competitive advantage in the job market. Where can I take Maths Essentials Course and how do I access it? Maths Essentials Course is available on EDX, one of the leading online learning platforms. You can access the course material from any device with an internet connection — desktop, tablet, or mobile. The course is free to audit, giving you the flexibility to learn at a pace that suits your schedule. All you need is to create an account on EDX and enroll in the course to get started. How does Maths Essentials Course compare to other Computer Science courses? Maths Essentials Course is rated 8.5/10 on our platform, placing it among the top-rated computer science courses. Its standout strengths — clear and structured curriculum ideal for beginners — set it apart from alternatives. What differentiates each course is its teaching approach, depth of coverage, and the credentials of the instructor or institution behind it. We recommend comparing the syllabus, student reviews, and certificate value before deciding. What language is Maths Essentials Course taught in? Maths Essentials Course is taught in English. Many online courses on EDX also offer auto-generated subtitles or community-contributed translations in other languages, making the content accessible to non-native speakers. The course material is designed to be clear and accessible regardless of your language background, with visual aids and practical demonstrations supplementing the spoken instruction. Is Maths Essentials Course kept up to date? Online courses on EDX are periodically updated by their instructors to reflect industry changes and new best practices. The London School of Economics and Political Science has a track record of maintaining their course content to stay relevant. We recommend checking the "last updated" date on the enrollment page. Our own review was last verified recently, and we re-evaluate courses when significant updates are made to ensure our rating remains accurate. Can I take Maths Essentials Course as part of a team or organization? Yes, EDX offers team and enterprise plans that allow organizations to enroll multiple employees in courses like Maths Essentials Course. Team plans often include progress tracking, dedicated support, and volume discounts. This makes it an effective option for corporate training programs, upskilling initiatives, or academic cohorts looking to build computer science capabilities across a group. What will I be able to do after completing Maths Essentials Course? After completing Maths Essentials Course, you will have practical skills in computer science that you can apply to real projects and job responsibilities. You will be prepared to pursue more advanced courses or specializations in the field. 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