Value Added Courses (VACs) in Mathematics are short-term, skill-oriented programs designed to enhance mathematical thinking, problem-solving ability, and career readiness in fields such as data science, statistics, computing, finance, teaching, and research. These courses complement core curricula by integrating applied mathematics with industry-relevant tools and technologies.
Why Enroll in Value Added Courses for Mathematics?
- Enhance analytical and logical reasoning
- Develop software and computational skills
- Prepare for competitive exams & research careers
- Learn real-world applications in finance, data, and science
- Build a strong foundation for interdisciplinary fields
Top Value Added Courses for Mathematics Students
- Basic Mathematics
- Advanced Mathematics
- Introduction to SCILAB
- Mathematical Modelling
- Basic Algebra
- Numerical Methods
- Varied Aspects of Mathematical Research Techniques
- MATLAB & R for researchers
- Text and Image Mining
- Linear Algebra and its Applications
- Statistics and Machine Learning using R and Python
- MATLAB & R for Researchers
- Single Variable Calculus Made Easy
- Mathematics for Graduate Aptitude Test in Engineering
- DESMATH
- Mathematics for Competitive Examinations
- R-Programming
- MATHEMATICA
- MAPLE
- SAGEMATH
- SCILAB
- Latex
- LaTeX for Scientific Writing
- Mathematics for Machine Learning
- Mathematics in Competitive Exams (UGC-NET, CSIR, GATE)
- Research Methodology in Mathematics
- Graph Theory Applications
Mathematics is no longer just about theory—it’s about solving modern-day problems through data, logic, and computation. These value added courses make math students job-ready, exam-ready, and research-ready.