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Department of Mathematics and Statistics

Computational Mathematics, BA/BS

The computational mathematics degree emphasizes problem solving using mathematical models to identify solutions in business, science, engineering, and more. The program consists of fundamental applied mathematics courses in calculus, differential equation modeling, advanced statistical methods, data structure, and programming.

The computational mathematics major combines the beauty and logic of mathematics with the application of today’s fastest and most powerful computers. The major uses computers as problem-solving tools to come up with mathematical solutions to real-world problems in engineering, operations research, economics, business, and other areas of science. The skills learnt here can be applied to everyday life, from computing security and telecommunication networking to routes for school buses and delivery companies. The computational mathematics major provides a solid foundation in both mathematics and computational methods needed to be successful in the field or in graduate school.
Computational mathematics prepares a foundation for a mathematical career that incorporates extensive computer science skills. In this major, much emphasis is given to the use of the computer as a tool to solve mathematically modeled physical problems. Students often pursue positions as mathematical analysts, scientific programmers, software engineers, or systems analysts.

With a degree in computational mathematics, students will be setting tyemselves up for success in medical, scientific, pharmaceutical, industrial research, and epidemiology settings. What’s more, fields related to science, technology, engineering, and math (STEM) are projected to have a much faster job growth than non-STEM jobs. Earning an applied math degree can help set students apart from the competition as they pursue a STEM career.

The curriculum provides a foundation in mathematics through courses in calculus, differential equations, graph theory, abstract and linear algebra, mathematical modeling, numerical analysis, and several other areas. Students are required to complete an experiential learning component of the program, as approved by the Department of Msthematics and Statistics. Students are encouraged to participate in research opportunities or cooperative education experiences. They will gain extensive computing skills through several high-level programming, system design, data structure and other computer science courses.
Our research feeds into our teaching. This means we can offer an extensive choice of core and optional modules. The compulsory group project module in the fourth year provides a chance to work on specific projects tackled through workshops and student-led group activities.
This BS program in computational mathematical sciences is a fusion of mathematics, science, and computing. Students in this program learn how to translate science and engineering problems into mathematical problems and solve them using computing algorithms. They develop strong problem-solving, analytical, and programming skills as they work across diverse areas of science and mathematics.

Computers are a part of everyday life now and with the passage of time, the world is shifting towards a more computerized centric approach at work too.
The processing power of the computers has been increasing steadily following Moore’s Law. Although, scientists theorize that Moore’s law may finally be dead, the advent of quantum computers is opening new fields of computation.
On the other hand, mathematics and statistics are also an integral part of any real-world problem solving. As is widely known that the problem solving in computers depends on algorithms and algorithms are inherently a branch of mathematics.
To this end, the program will focus on a rigorous and methodical approach to building these skills, with basic and advanced courses offered in Mathematics, Statistics and Computer Science. These courses will focus on core analytical and problem-solving skills. Students will learn the skills in translating a real-world problem into mathematics and statistics and using computers to solve these problems.


  • Laying a solid understanding of Mathematics, Statistics and Computer Science
  • Introducing Students to computing algorithms and their mathematical backgrounds
  • Solving real world problems using computational methods
  • Performing Data Analysis using computational methods
  • Enabling students to come up with their own algorithms for a diverse set of problems


The program is aimed at students who wish to diversify their careers and want to be involved in learning mathematics, statistics, and computer science with an applied approach with computers to industry, information technology, analysis, etc. Students will be given programming, coding and computational skills and will be introduced to Mathematical and Statistical Software for easy handling and manipulation of real-world problems.

Graduating students will have a diverse pool of career choices to choose from. Some of these are listed below.

  • Data Scientist
  • Software Engineer
  • Research Scientist
  • Information and Digital Technology
  • Mathematician and Statistician
  • Game Design
  • Teacher or Professor
  • Network Analyst
  • Information Security Analyst