E-Learning University represents the highest level of learning within the E-Learning education ecosystem. Built for advanced learners, professionals, researchers, and global students, the university delivers structured higher education through innovative digital platforms. Our focus is on academic depth, research orientation, professional relevance, and global accessibility, ensuring learners are prepared for leadership, innovation, and lifelong success.
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12 February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12 February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
12. February 2026
08:00 am - 10:00 pm
Unlock the power of mathematical modeling and computational thinking with the BSc in Applied Mathematics at E‑Learning University. This program blends rigorous theory with cutting‑edge applications in science, engineering, economics, data science, and beyond. Applied Mathematics is the bridge between abstract mathematical ideas and real‑world problem solving. Graduates leave equipped to innovate in technology, analytics, research, and industry.
Bachelor of Science in Applied Mathematics at E-Learning University equips students with the mathematical, analytical, and computational skills needed to tackle real-world problems across science, engineering, technology, finance, and data science. This 4-year undergraduate program blends rigorous theory with practical applications, preparing graduates for advanced studies, research, and careers in diverse industries. Students learn to translate complex problems into solvable mathematical models and implement solutions using modern computational tools.
The BSc in Applied Mathematics is a 4‑year (8 semester) undergraduate degree. Courses are delivered online with flexible pacing and practical assessments.
Year 1 – Foundations
Year 2 – Intermediate
Year 3 – Applied Focus
Year 4 – Advanced & Capstone
Electives:
By completing this program you will be able to:
✔ Use advanced mathematical tools and techniques
✔ Develop and analyze models of real systems
✔ Implement algorithms in Python, R, MATLAB, and Julia
✔ Handle big data and statistical inference
✔ Communicate complex quantitative results clearly
✔ Solve interdisciplinary challenges across sectors
Mode: Fully Online / Blended (Live & Self-Paced)
| Semester | Duration | Key Activities | Assessments & Projects |
|---|---|---|---|
| Semester 1 | Weeks 1–16 | - Orientation & Welcome Sessions - Introduction to Calculus, Linear Algebra, Discrete Mathematics - Programming Basics | - Quizzes - Assignments - Participation in online forums |
| Semester 2 | Weeks 17–32 | - Advanced Calculus & Mathematical Reasoning - Probability & Statistics I - Scientific Computing Basics | - Midterm Exam - Programming Project - Continuous Assessment |
| Semester 3 | Weeks 33–48 | - Differential Equations & Numerical Methods - Data Analysis Techniques - Real Analysis | - Problem Sets - Case Study Analysis - Mini Research Project |
| Semester 4 | Weeks 49–64 | - Intermediate Probability & Statistics II - Applied Modeling Techniques - Computational Simulations | - Lab Work - Group Projects - Midterm Exam |
| Semester 5 | Weeks 65–80 | - Partial Differential Equations - Optimization & Operations Research - Machine Learning Introduction | - Programming Assignments - Quizzes - Mini Capstone Project |
| Semester 6 | Weeks 81–96 | - Advanced Algorithms & Numerical Methods - Stochastic Processes - Data-Driven Modeling | - Group Projects - Lab Simulations - Assessment Exams |
| Semester 7 | Weeks 97–112 | - Electives (Financial Math, Bioinformatics, Cryptography, Network Analysis) - Applied Research Techniques | - Elective Projects - Case Studies - Capstone Project Proposal |
| Semester 8 | Weeks 113–128 | - Final Capstone Project - Comprehensive Review & Exam Prep - Career & Internship Guidance | - Capstone Project Submission & Presentation - Final Assessment Exam |
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Days
Hours
Minutes
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Maya
French & Spanish
Lindsay
German & Spanish
Jordan
Portuguese & Spanish
Rachel
Italian & French
David
Swedish & Danish
E-Learning University is a fully digital higher education platform designed to deliver university-level learning through modern online systems. It operates without geographical limitations, allowing learners to access academic content, lectures, assessments, and resources from anywhere in the world. The university follows structured curricula, guided learning pathways, and continuous evaluation methods. All learning activities, including classes, assignments, research projects, and certifications, are delivered through a secure digital learning environment supported by academic and technical teams.
E-Learning University welcomes a diverse range of learners, including recent graduates, working professionals, international students, and lifelong learners. Eligibility depends on the specific program, academic background, and relevant experience. Some advanced programs may require prior education or professional exposure. The university follows inclusive admission principles, ensuring equal opportunity for learners from different regions and backgrounds while maintaining academic standards suitable for higher education.
E-Learning University designs its programs in alignment with global digital education standards, academic best practices, and professional skill frameworks. Recognition and accreditation depend on jurisdiction, regulatory requirements, and institutional partnerships. Program-specific recognition details are shared transparently to ensure learners can make informed decisions. The university prioritizes academic integrity, quality assurance, and ethical representation while continuously exploring partnerships to enhance recognition and global acceptance.
Learning at E-Learning University is delivered through a combination of recorded lectures, live sessions, digital study materials, and interactive assignments. Assessments include quizzes, written assignments, project work, case studies, and online examinations. Continuous evaluation is emphasized to track learner progress and skill development. Digital tools provide timely feedback, academic guidance, and performance analytics, ensuring learners receive structured support throughout their educational journey.
Graduates of E-Learning University gain advanced academic knowledge, practical skills, and digital credentials that support career advancement, professional growth, and further education. Learners are prepared for roles in global industries, research initiatives, entrepreneurship, and leadership positions. The university also supports lifelong learning by offering progression pathways, advanced certifications, and skill enhancement opportunities that align with evolving workforce demands and global education trends.