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Numbers, Bits and Management: Importance of Mathematics for Computer Science and Management Students

“Go down deep enough into anything and you will find mathematics.”
— Dean Schlicter

 

Mathematics is essential for both Computer Science (CS) and Management. In many jobs, professionals from both fields rely on maths to work together, solve problems, and optimize business outcomes. Here’s how maths connects CS and Management in different roles:

  1. Data Analyst – Data analysts in CS use algorithms and machine learning models (rooted in math) to process and interpret data, while managers use these insights to make business decisions. Both rely on statistics, probability, and data visualization to understand trends and support strategic planning.
  1. Software Developer – Software developers build applications that need to be efficient and scalable. Their work, rooted in discrete math and algorithms, is then used by managers to drive business goals, streamline workflows, and improve customer experiences.
  1. Operations Manager – Operations managers use mathematical models and optimization techniques (like linear programming) to improve workflows and reduce costs. CS professionals develop software and tools to automate and implement these optimizations in real-time.
  1. Supply Chain Analyst – In the supply chain, CS experts create software tools to calculate optimal routes, inventory levels, and delivery times using mathematical optimization. Meanwhile, operations managers apply these tools to reduce logistics costs, optimize delivery times, and manage inventory, using mathematical modelling.
  1. Financial Analyst – Financial analysts use mathematical models to predict market trends, assess risks, and suggest investments. Meanwhile, CS professionals create algorithms for real-time financial analysis and risk management, both relying on statistical analysis and financial modelling.
  1. Product Manager – Product managers rely on data-driven insights from statistics and customer feedback analysis, which CS teams provide through algorithms and machine learning. Together, they decide which features to prioritize, forecast demand, and optimize product strategies.
  1. Marketing Analyst – Marketing analysts use statistical methods, like regression analysis and A/B testing, to analyze customer behaviour and campaign performance. CS teams help design algorithms that track user data, while managers use the results to adjust marketing strategies and maximize ROI.

In all these roles, math is the backbone that allows Computer Science and Management professionals to work together effectively, optimize processes, and solve complex problems, driving better decision-making and business growth. Considering the above, Asian School of Business provides all undergraduate students, especially in the final year, training programs under its Competitive Exams Training Academy in association with Career Launcher to lay a strong foundation for acing the initial rounds of competitive exams, as well as the written tests during internship and placement drives. This is in alignment with our vision of providing holistic development to our students along with the curriculum based on Outcome Based Education.

 

Submitted by
M Bhuvaneswari
Assistant Professor
Asian School of Business